February 20, 2025

Klaviyo vs Listrak vs Maestra: Choosing Your Best E-commerce Marketing Platform

In this in-depth comparison, we’ll evaluate Klaviyo, Listrak, and Maestra—three outstanding e-commerce marketing platforms—across a comprehensive set of factors. Each platform has its own strengths: Klaviyo is well-known for its powerful yet user-friendly email and SMS tools, Listrak offers advanced predictive analytics and cross-channel capabilities for retailers, and Maestra provides a unified all-in-one solution including loyalty and personalization.
We’ll explore how they compare in essential areas to help you determine which one is the ideal choice for your business.

Content:

Quick overview: Klaviyo vs Listrak vs Maestra

Klaviyo

"Grow with smarter marketing"—Klaviyo is a rapidly growing email and SMS marketing automation platform designed for e-commerce businesses. Founded in 2012, Klaviyo has become popular among online brands for its ease of use and powerful features. It enables businesses to create targeted email campaigns and text message outreach using customer data from their store (Shopify, Magento, WooCommerce, etc.) and website activity.
Klaviyo’s core strength is in owned marketing channels—it helps merchants send personalized emails and texts at scale, without needing external ad spend.
Key features of Klaviyo include a drag-and-drop email builder, pre-built automation flows (for welcomes, cart recovery, post-purchase follow-ups, etc.), and advanced segmentation that updates in real time based on customer behavior. For example, you can create a segment of customers who spent over $100 in the last month and clicked an email, then target them with a VIP discount. Klaviyo also natively supports SMS marketing, allowing businesses to manage email and text messaging in one place for a consistent cross-channel strategy.
While Klaviyo excels at email/SMS and offers integrations with 350+ apps (from reviews tools to helpdesks) to pull in data, it does not have built-in loyalty or referral programs and has limited on-site personalization features. It relies on third-party apps for things like rewards or product reviews, which can be integrated so their data (points, purchase events, etc.) can trigger Klaviyo messages.
Klaviyo is ideal for small to mid-sized e-commerce brands that want a plug-and-play marketing solution for messaging channels. Its pricing starts with a free tier and scales based on contact count and message volume, making it accessible for growing businesses. However, as you grow larger, you may need to supplement Klaviyo with additional tools (for loyalty, on-site personalization, etc.), and the costs can add up.

Listrak

"Drive seamless, personalized cross-channel interactions"—Listrak is an established cross-channel marketing platform tailored for retailers and DTC brands. Founded in 1999, Listrak has evolved to offer an integrated suite of tools that go beyond email, including SMS, web push, predictive analytics, and even direct mail integration.
Listrak’s platform focuses on leveraging data to create a 360° view of the customer and orchestrating campaigns across multiple touchpoints from one system.
Listrak is perhaps best known for its predictive personalization and analytics. It processes large volumes of data to enable features like predictive product recommendations and predictive segments (e.g. likelihood to purchase, predicted customer lifetime value). For instance, Listrak can identify customers at risk of churning and help you target them with win-back campaigns.
Its Journey Hub allows marketers to build automated workflows that coordinate messages via email, SMS, and push notifications based on customer actions. Listrak also offers a Growth Xcelerator Platform (GXP) module, which includes identity resolution and on-site conversion tools to recognize visitors and capture their information through pop-ups, gamified forms, and other interactive elements.
This helps grow your list and personalize the website experience (for example, showing a first-time visitor a sign-up offer, or a returning customer a product recommendation banner).
Listrak doesn’t natively provide loyalty points or referral programs, but it integrates with loyalty solutions (like Yotpo Loyalty, Zinrelo, Extole) to incorporate those tactics. Listrak’s strength lies in helping slightly larger businesses optimize and personalize across channels: a retailer can use Listrak to send emails, texts, and web pushes, all informed by unified customer data and AI-driven insights.
It’s a more enterprise-oriented tool—pricing is not transparent (you need a custom quote), and it tends to be used by businesses willing to invest more for deeper capabilities. For example, one source indicates Listrak starts around $150/month for 5,000 contacts as a baseline, which is higher than beginner platforms, but that includes its advanced features. Listrak is best for mid-sized brands that want to elevate their marketing with predictive analytics, sophisticated segmentation, and a true cross-channel approach beyond just email.

Maestra

"The most unified platform for e-commerce marketing"—Maestra is a newer entrant that offers an all-in-one marketing platform aimed at midmarket e-commerce companies. At its core is a real-time Customer Data Platform (CDP) that tracks customer interactions across all channels—online store, mobile app, website, email, SMS, in-store POS, and more—and consolidates this data into unified profiles.
This unified data powers everything in Maestra, from segmentation to personalization. Essentially, Maestra combines what would normally require several tools (CDP, email service, SMS platform, site personalization engine, loyalty program, etc.) into one solution.
With Maestra, businesses can create advanced customer segments using any combination of behaviors and attributes (product views, purchase history, location, loyalty status, and even offline purchases)—these segments update in real time as data streams in. The platform enables hyper-personalized omnichannel flows: you can design automated workflows that might start with an email, follow up with an SMS, then show a personalized website banner or send a push notification—all based on how the customer reacts and all managed in Maestra.
Because all channels are connected, the experience is cohesive (for example, if a customer redeems an offer from an email, they won’t get a redundant SMS about it).
In addition, Maestra includes built-in loyalty and promotion management. You can run a points-based loyalty program with VIP tiers, as well as create one-off promotions and referral campaigns, then target those offers through email, SMS, on-site pop-ups, etc. from one place.
It also features real-time website personalization—for instance, showing product recommendations or content tailored to each segment during their browsing session. And like Listrak, it can sync audiences to ad platforms and even capture leads from social media ads directly into the system.
Maestra stands out with its white-glove support: every client gets a dedicated Customer Success Manager who assists with onboarding, strategy, campaign setup, and technical needs. This is included in the pricing, which starts around $1,990/month for up to 80k customers.
Maestra isn’t aimed at very small businesses; it’s best for companies that have outgrown basic tools and need a unified platform to manage and personalize interactions across all channels. Those companies typically value the hands-on guidance as well, since Maestra’s breadth can be complex—but the payoff is a highly integrated marketing machine that can significantly boost customer engagement and CLV.

Comparison Summary: Klaviyo vs Listrak vs Maestra

Feature
Klaviyo
Listrak
Maestra
Omnichannel Flows
⭐⭐⭐⭐
Multi-channel (email, SMS) automation, but lacks built-in CDP for full unity
⭐⭐⭐⭐
Cross-channel journey builder (email, SMS, push, etc.) for retail; unifies data via identity resolution, but separate loyalty tools
🏆
 ⭐⭐⭐⭐⭐
Seamless hyper-personalized flows across all channels (email, SMS, web, apps, offline) powered by a real-time CDP for unified campaigns
Customer Data Mgmt & Segmentation
⭐⭐⭐⭐
Robust segmentation based on behavior and profile properties; no standalone CDP, relies on e-commerce integration
⭐⭐⭐
Unified customer profiles with retail-centric segments (LTV, purchase behavior); fewer real-time and custom segmentation options
🏆
⭐⭐⭐⭐⭐
Real-time CDP consolidating data from all sources; AI-powered and granular segmentation (RFM, product affinity, computed traits) for extreme targeting
Site Personalization
⭐⭐
Limited native on-site personalization; mainly uses pop-ups/forms and email recommendations
⭐⭐⭐⭐
Offers on-site product recommendations and identity-based personalization; GXP module boosts conversions with targeted overlays
🏆
⭐⭐⭐⭐⭐
Dynamic website content and experiences tailored in-session to each visitor; real-time personalization rules using CDP data
Email
⭐⭐⭐⭐
Leading email marketing features with drag-and-drop editor, many templates, and strong automation; highly user-friendly
⭐⭐⭐⭐
Comprehensive email campaign tools and templates; solid automation triggers, though less intuitive design and fewer advanced dynamic content options
🏆
⭐⭐⭐⭐⭐
Proprietary email composer with clean code, AMP support, and dynamic content blocks per segment; deep personalization using CDP data for each recipient
SMS
⭐⭐⭐⭐
Built-in SMS marketing with automation and personalization similar to email; easy to convert email subscribers to SMS
⭐⭐⭐⭐
Integrated SMS/MMS campaigns with automation triggers (abandoned cart texts, personalized offers); includes RCS and two-way messaging options
🏆
⭐⭐⭐⭐⭐
SMS fully integrated into omnichannel flows; supports bulk messaging, A/B testing, link tracking, and cross-device targeting as part of a unified conversation
Website & Email Product Recommendations
⭐⭐⭐
Rules-based and AI-driven product feeds for emails (e.g. “customers also bought”); limited on-site recommendation features
⭐⭐⭐⭐
Advanced predictive recommendations on site and email, using AI to suggest products based on behavior and affinities; customizable merchandising rules
🏆
⭐⭐⭐⭐⭐
Real-time AI product recommendations across website and email, updating per customer’s browsing and purchase patterns; +14 prebuilt algorithms plus manual tuning
Promotions & Referrals
⭐⭐⭐
No native loyalty/referral program (requires integration); can send promo codes via email/SMS and use pop-ups for signups
⭐⭐⭐⭐
Drives promotions via its GXP (Growth Xcelerator)—pop-ups, unique coupon codes, and gamified sign-up forms; referral programs require third-party integration
🏆
⭐⭐⭐⭐⭐
Flexible promotions engine and referral program built-in. Create tiered referral rewards and targeted promo campaigns based on time, location, or customer segment, synced across all channels
Loyalty Programs
⭐
No built-in loyalty points or VIP tier system (must integrate external loyalty apps)
⭐
No native loyalty points program; relies on partners (e.g. Yotpo, Zinrelo) to reward purchases and referrals
🏆
⭐⭐⭐⭐⭐
Complete loyalty suite: points, VIP tiers, and rewards natively integrated. Highly customizable earning and redemption rules that tie into omnichannel campaigns
Mobile & Web Push Notifications
⭐⭐⭐
Recently added mobile push notifications for reaching customers beyond email/SMS; basic functionality, requires site/app integration
⭐⭐⭐⭐
Supports web and mobile app push messaging as part of cross-channel campaigns; useful for real-time alerts, though not as deeply personalized
🏆 ⭐⭐⭐⭐⭐
Rich push notifications on both web and mobile, fully customizable with images, buttons, and URLs. Can trigger in-app messages based on user behavior, with A/B testing and scheduling
User-Generated Content
⭐
No built-in UGC or reviews management; can send post-purchase review request emails and offer discount codes for user submissions
⭐
No native UGC collection; integrates with review platforms (e.g. Yotpo, Bazaarvoice) to pull in ratings or incentivize reviews via email/SMS
⭐⭐
No direct reviews feature, but loyalty program can incentivize UGC (points for reviews, social shares). Relies on integrations for managing UGC content
Ad Optimization
⭐⭐⭐
Syncs customer segments to Facebook and Google Ads for retargeting and lookalike audiences; no built-in ad creation, but tracks campaign ROI from ads
⭐⭐⭐⭐
Audience automation to connect its customer data with Facebook, Instagram, Google, and even direct mail. Uses predictive segments (e.g. likely to purchase) to improve ad targeting
🏆
⭐⭐⭐⭐⭐
Automatically builds ad audiences and lookalikes from CDP segments. Real-time data sync with ad platforms and ROI tracking to optimize spend. Uses precise segmentation to lower acquisition costs
Reporting & Attribution
⭐⭐⭐⭐
Detailed campaign and flow analytics with revenue attribution for emails and texts. Custom reports and dashboards; benchmarks available for comparison
⭐⭐⭐⭐
Rich retail-focused analytics (campaign performance, customer lifecycle metrics, predictive revenue) and dashboard reports. Offers revenue attribution for messages and segments
🏆
⭐⭐⭐⭐⭐
Unified reporting across all channels and programs. Multiple dashboards to track business goals, loyalty ROI, and channel attribution. Advanced A/B testing with control groups for true impact measurement
Customer Support
⭐⭐⭐⭐
Email support for all; live chat and phone support for higher-tier customers. Excellent self-serve knowledge base and community forums for quick help
⭐⭐⭐⭐
Responsive support via email and phone for all clients. Offers a dedicated account manager for enterprise accounts. Highly rated for hands-on assistance
🏆
⭐⭐⭐⭐⭐
End-to-end white-glove support for every customer. Dedicated Customer Success Manager helps with onboarding, strategy, migration, and ongoing optimization with <5 min response times
Integration Capabilities
🏆
⭐⭐⭐⭐⭐
350 pre-built integrations across e-commerce platforms, CRM, helpdesks, etc., plus open APIs—easy to plug into any tech stack
⭐⭐⭐⭐
Dozens of native integrations (major e-com platforms, analytics, loyalty partners) and an API. Strong retail tech partner network (e.g. POS, loyalty, reviews)
🏆
⭐⭐⭐⭐⭐
Ready connectors for popular e-com and marketing tools, plus flexible APIs/webhooks. The Maestra team will even build custom integrations on request for seamless data flow
Pricing
💲💲💲
Free plan for small stores (up to 250 contacts). Paid plans are pay-as-you-grow; SMS billed per usage. Affordable for SMBs, but can get pricey at enterprise scale
💲💲💲💲
No public pricing—custom quotes based on list size and needed features
💲💲💲
Custom pricing based on profiles. All features included at every tier. Higher entry cost but scales efficiently with business growth.

Klaviyo vs Listrak vs Maestra: Omnichannel Flows

Omnichannel flows refer to automated customer journeys that span multiple channels (email, SMS, push, etc.) to create a cohesive experience. Klaviyo and Listrak both support multi-channel marketing automation, but Maestra’s unified platform takes it a step further by truly connecting all channels (including offline) in real time.
Klaviyo
Listrak
Maestra
⭐⭐⭐⭐
Great for coordinating email and SMS with ease, but lacks a built-in CDP and native support for beyond those channels, which limits truly unified campaigns
⭐⭐⭐⭐
Allows multi-channel automation with retail focus and some identity resolution, but still relies on external tools for loyalty or offline data to complete the picture
⭐⭐⭐⭐⭐
Excels with omnichannel, connecting email, SMS, web, app, offline, and ad channels in unified, real-time flows that ensure a cohesive customer journey everywhere
With Maestra, you don’t manage your email campaigns, SMS blasts, push notifications, and pop-ups as separate silos—instead, you build seamless workflows that coordinate all these touchpoints. For example, you could have a welcome series that starts with an email, follows up with an SMS discount if the email isn’t opened, and then shows a personalized homepage banner on the customer’s next visit.
Because Maestra’s flows are fueled by its centralized CDP, they can react instantly to customer behavior—if the customer makes a purchase in-store, the flow can immediately branch to stop marketing that item and perhaps trigger a thank-you push notification. Maestra’s system ensures consistent messaging across every channel and can handle a large number of simultaneous automations (some companies run dozens of complex flows without performance issues). Essentially, Maestra excels at complex, orchestrated customer journeys that treat all channels as parts of one conversation.
By contrast, Klaviyo offers robust automation flows primarily within the scope of email and SMS (and recently, mobile push). Its Flow Builder is very user-friendly—you can visually create if/then logic based on events (e.g. “abandoned cart” or “placed order”) to send timely emails or texts. Many merchants find Klaviyo’s automation sufficient for common scenarios: for instance, an abandoned cart flow that emails the customer, then maybe sends a reminder text if they provided a phone number.
Klaviyo can technically do multi-channel flows (email + SMS), but it lacks a built-in concept of coordinating beyond those channels. There’s no native support for in-app messages or integrating an offline purchase trigger, for example. You’d have to use integrations to expand beyond email/SMS—for instance, using a loyalty app to trigger Klaviyo when points are earned, or exporting segments to an ad platform manually.
So while Klaviyo supports omnichannel in theory, in practice it’s more of a dual-channel tool. It also does not have an internal CDP to unify data from different sources; it primarily relies on your e-commerce integration and whatever data you import. This means creating a truly unified journey (especially if it involves data outside of your website or email clicks) can be challenging. Still, for many growing brands, Klaviyo’s flows (welcome series, cart recovery, browse abandonment, birthday messages, etc.) cover a lot of ground and are much easier to set up than coding custom solutions.
Listrak sits somewhere in between. It is explicitly a cross-channel platform—via its Journey Hub, you can build workflows that include email, SMS, and push notifications, and even schedule tasks like syncing an audience to Facebook Ads as part of a flow.
Listrak’s advantage is that it can incorporate more channels than Klaviyo out of the box (for example, you could include a direct mail postcard trigger through a partner integration, or a segment sync to Google Ads via Listrak’s Exchange feature). Its flows can utilize data like predictive scores or web behaviors captured by its scripts, making them quite powerful for retail scenarios.
However, Listrak does not have native loyalty or referral steps in flows—you would still integrate external systems for those. And while Listrak has a unified customer profile, it’s mainly focused on online channels and does not automatically ingest offline transactions unless connected to your POS.
So, Listrak enables multi-channel journeys (more than Klaviyo) and does unify a lot of customer data, but Maestra’s omnichannel capabilities are more comprehensive. Maestra ensures every channel (even in-store and paid media) is in sync in real time, whereas Listrak is strong on digital channels but not inherently omnipresent in the same way.

Omnichannel Flows Winner: Maestra

In summary, Maestra provides the most seamless omnichannel flow capability—ideal for brands that want to run orchestrated campaigns across all customer touchpoints from one interface. Listrak offers a strong cross-channel automation for retailers (covering email/SMS/push and leveraging its analytics), and Klaviyo offers excellent but more limited automation primarily across email and text.
Maestra enables seamless omnichannel hyper-personalized flows that integrate email, SMS, websites, apps, offline stores, and paid media. Its built-in CDP means all channels work together based on real-time customer behavior, ensuring the customer gets consistent messaging at every touchpoint.
By combining data and automation in one place, Maestra makes it possible to run highly targeted, complex journeys (dozens of steps across channels) without missing a beat. Klaviyo and Listrak both support multi-channel marketing, but they don’t have the same level of unified coordination—you may need to stitch together data or use add-ons, which makes it harder to maintain a truly cohesive experience.

Klaviyo vs Listrak vs Maestra: Customer Data Management & Segmentation

Effectively using customer data is at the heart of personalized marketing. Here we compare how each platform handles Customer Data Management (the ability to collect and unify data, like a Customer Data Platform would) and Segmentation (the ability to slice and dice your audience based on that data).
Klaviyo
Listrak
Maestra
⭐⭐⭐⭐
It centralizes e-commerce and behavioral data well and has very flexible segmentation logic. Loses a point for lacking a true CDP—data sources are mostly limited to online store and marketing interactions—but for most, it covers the bases of targeted campaigns.
⭐⭐⭐
Offers a unified customer view and strong retail segmentation, including predictive analytics. However, some advanced real-time or highly custom segmentation capabilities are less accessible without its built-in models. It’s powerful, but not as free-form as Klaviyo or Maestra in defining segments.
⭐⭐⭐⭐⭐
Excels with a full-fledged CDP that ingests all data and updates profiles in real time. You have near-unlimited segmentation possibilities—combining online, offline, historical, and predictive criteria. Perfect for data-driven marketers who want fine-grained control and personalization based on a 360° customer view.
Maestra is built around a real-time Customer Data Platform, so it shines in this category. It continuously ingests data from all your sources—your e-commerce platform, POS system, mobile app, email engagement, website events, etc.—and merges them into a single customer profile. This means if a customer browses a product on the website, adds something to cart on mobile, then buys in a physical store, Maestra links all those actions to one profile in real time.
Marketers can then create extremely granular segments using any combination of data. For example, you could segment “high-value customers in California who viewed at least 3 products in Category X in the last 2 weeks but haven’t purchased in 60 days.” Maestra supports computed metrics and predictive scores as well—you can have attributes like “average days between purchases” or “predicted lifetime value” calculated for each profile and use those in segments.
Segments can be static, dynamic in real-time, or scheduled to refresh. This level of segmentation goes beyond what most marketing tools offer; it’s on par with enterprise CDP or analytics software capabilities. The result is you can target incredibly specific groups with relevant messaging. Because Maestra can act on it everywhere, those segments drive both marketing and on-site/off-site personalization.
Both Klaviyo and Listrak also have strong segmentation, but with some differences in data scope. Klaviyo has what you might call a “mini CDP”—it pulls in e-commerce data (orders, products, customer info) and tracks site behavior via its JavaScript snippet (e.g. product viewed, category viewed), along with email/SMS engagement data. All this is stored per profile in Klaviyo.
You can create segments using a wide range of conditions: past purchase history, total spent, specific items bought or viewed, email engagement metrics, location, predicted CLV (Klaviyo does provide a CLV prediction and expected gender for profiles), and more. Klaviyo’s interface for segmentation is very intuitive—you can stack conditions and use AND/OR logic freely.
The segments update dynamically; if a customer’s data changes and they no longer meet criteria, Klaviyo removes them from the segment automatically. One notable limitation: Klaviyo’s data is mostly what comes through its integrations or tracking—it’s not as adept at incorporating offline data or custom data from outside the typical e-commerce scope (unless you import it via API).
There is no separate module labeled “CDP,” but for many brands, Klaviyo’s data system is sufficient to serve as a customer database for marketing purposes. Its strength is behavioral segmentation like targeting people by browse or purchase activity, which covers most lifecycle marketing needs.
Listrak, on the other hand, has invested in more data unification capabilities than Klaviyo. It has a “Unified Customer Data” component that resolves identities across devices (say, matching an email to a mobile push token) and brings in data from various integrations. Listrak’s segmentation can use typical e-commerce behaviors (browse, cart, purchase) and also its predictive scores (like likelihood to churn or predicted affinity for a category).
It allows filtering by RFM metrics (recency, frequency, monetary value segments), and they have features like “Customer Insights” which give RFM analysis and lifecycle stages that can be used for targeting. However, Listrak’s segmentation UI and flexibility, while good, might not be as wide-open as Maestra’s.
Listrak is great for standard retail segmentation (e.g. cart abandoners, high-LTV customers, customers who bought from category X) but less flexible for completely custom or real-time criteria outside the built-in ones. It may not support as many compound logic rules or instantaneous updates for every single web event the way Maestra does.
Listrak tends to focus on predictive models to do the heavy lifting (for example, it will automatically flag “likely to purchase” customers and you use that flag) rather than having the marketer build everything from scratch. This is helpful if you trust the models, but somewhat less control than Maestra’s approach where you can define any rule.
In summary, Klaviyo offers robust segmentation that will satisfy many businesses—especially those primarily concerned with using recent customer actions and e-commerce data to target campaigns. Listrak provides more advanced analytics-driven segmentation than Klaviyo (with predictive scores and identity resolution), making it powerful for retail marketers who want to use AI-driven insights and cross-device data. Maestra goes beyond both with an enterprise-grade CDP under the hood, allowing virtually any type of segment in real time.
The trade-off is that Maestra’s depth requires more strategy to fully utilize, whereas Klaviyo’s segmentation is straightforward and Listrak’s is somewhat pre-packaged for common use cases.

Customer Data Management & Segmentation Winner: Maestra

Maestra’s real-time CDP and AI-powered segmentation give it a clear edge. Its ability to adapt instantly to customer actions and let marketers define ultra-precise target groups is ideal for businesses seeking to fine-tune their marketing and personalization.
Listrak and Klaviyo both manage customer data sufficiently for their domains—Klaviyo with an easy, integration-driven approach and Listrak with a predictive, retail-focused lens—but neither offers the breadth and depth of data utilization that Maestra does. If having a single source of truth for customer data and slicing that data in any way imaginable is important, Maestra is the standout choice.

Klaviyo vs Listrak vs Maestra: Site Personalization

Site personalization involves tailoring the content or offers on your website to individual visitors (or segments of visitors) to increase engagement and conversion. This can include things like personalized product recommendations, dynamic banners or images, and pop-ups/offers triggered by user behavior. Let’s see how each platform handles on-site personalization.
Klaviyo
Listrak
Maestra
⭐⭐
Other than targeted pop-ups/forms, it doesn’t offer much in the way of on-site dynamic content. Great for capturing leads on site, but you’ll rely on your e-commerce platform or third-party apps for personalized web experiences.
⭐⭐⭐⭐
Provides personalized product recommendations on site and the ability to target pop-ups/offers based on user behavior. It covers key personalization use cases for retailers, though it might not alter the core site layout per user. Still, it meaningfully personalizes shopping experiences with its data-driven approach.
⭐⭐⭐⭐⭐
Full-fledged in-session personalization. It can modify website content, display unique promotions, and recommend products in real time for each visitor. All of this leveraging its CDP and segmentation, making your site feel individually tailored. It’s essentially an personalization engine built into the marketing platform.
Maestra has built-in real-time site personalization capabilities. Since Maestra is tracking visitors on your site with its CDP, it can recognize who a visitor is (if they’re logged in or identified via email capture) and even segment them on the fly as they browse (in-session segmentation). Based on this, Maestra allows you to change elements on your site for that visitor.
For example, you could show a hero banner that’s different for first-time visitors versus returning VIP customers. Or change the order of products displayed to a user based on their affinity (if the user often buys running gear, the homepage could prioritize running products). You can create personalized product recommendation widgets on pages that Maestra will populate with items the user is most likely to buy, using its algorithms.
It also enables displaying special offers or content blocks to certain segments—say, a “Welcome back, John! Here’s 10% off your next order” message when a high-value customer returns to the site. All of this is done through Maestra’s interface, which can deploy these dynamic elements without the need for heavy custom coding.
Essentially, Maestra acts similarly to dedicated personalization engines like Dynamic Yield or Monetate, but it’s part of the same platform that runs your campaigns. The site personalization is tightly integrated with Maestra’s promotions and segmentation—so you can target on-site content using the same segments you use in email, ensuring consistency.
Listrak offers site personalization primarily through its Product Recommendations and some on-site messaging tools. Listrak’s predictive recommendations can be embedded on webpages (e.g., a “Recommended for you” carousel on the homepage or product pages). These recs use machine learning to suggest products a customer is likely interested in, even if it’s an anonymous visitor (using behavioral data like what products they viewed in that session plus overall trends).
Listrak also has the GXP, which includes on-site elements like pop-ups, slide-outs, and other overlays to capture emails or promote offers. Those can be personalized in timing and content based on rules (for example, show a different pop-up to someone who is already on your email list vs. a new visitor). However, Listrak might not dynamically change existing page content on the fly beyond those inserted widgets.
In other words, it’s very strong at inserting personalized product recs and triggering pop-ups at the right time (like exit intent offers), which certainly counts as site personalization. And it can do things like not show a sign-up offer to someone who already subscribed (thanks to identity resolution). But it’s not clear if Listrak lets you, for instance, completely swap out the homepage banner or re-order category page products for each user without custom development. It leans more on the side of personalized product suggestions and targeted pop-ups.
For many retail businesses, that covers the primary needs—showing customers relevant products and capturing their info with targeted offers.
Klaviyo has historically been focused off-site (email/SMS), but it has introduced some on-site tools like Signup Forms and certain web personalization features. Klaviyo’s signup forms are quite flexible: you can design pop-ups or flyouts that appear based on behaviors (scroll percentage, exit intent, time delay) and target them to certain segments of visitors.
For example, show a free shipping offer form only to visitors who came via a specific campaign or only to those in a certain country—because Klaviyo knows their country from IP and can segment that. These forms can also use data from Klaviyo profiles (if the visitor is identified via a Klaviyo cookie or prior sign-up) to decide who sees what.
Aside from forms, Klaviyo’s product recommendation feature can be used in emails and potentially in web through custom code—but Klaviyo doesn’t provide a turn-key widget for on-site recs the way Listrak and Maestra do. You’d typically export a Klaviyo-generated product feed to your site or use a separate app for that. Klaviyo does not have features to alter core site content (like changing the text on a page for a user segment).
Any deeper web personalization (beyond pop-ups and product feeds) would require integrating Klaviyo data with a personalization tool or custom development using Klaviyo’s API. In essence, Klaviyo’s on-site personalization is minimal: it can show targeted pop-ups and that’s about the extent of it natively.
To summarize, Maestra provides the most comprehensive site personalization—it’s capable of adapting the on-site experience in real time per visitor, using all the customer data to drive things like content substitution and tailored recommendations. Listrak offers strong personalized recommendations and some targeting for on-site messaging, which cover important aspects of personalization especially for product discovery. Klaviyo has limited built-in site personalization, mainly confined to forms and some basic recommendation logic for emails, meaning you’ll need other tools if you want to heavily personalize your e-commerce storefront with Klaviyo alone.

Site Personalization Winner: Maestra

Maestra’s ability to dynamically tailor the website for each customer gives it the win. From changing banners to showing AI-chosen products or special offers based on a user’s profile, Maestra turns your site into a personalized experience akin to having an online store that reacts to each customer’s interests.
Listrak offers strong product recommendations and targeted overlays that significantly enhance a generic site, but it doesn’t have the same level of holistic page personalization. Klaviyo, while excellent in messaging, doesn’t really compete in on-site personalization.
So, if your goal is to make your e-commerce site as personalized as your emails—showing each customer something uniquely relevant—Maestra is the platform in this trio that stands out.

Klaviyo vs Listrak vs Maestra: Email

Email marketing is a core functionality of all three platforms. Here we compare their email capabilities, including email design, automation, deliverability features, and personalization within emails.
Klaviyo
Listrak
Maestra
⭐⭐⭐⭐
Excellent email marketing toolset—user-friendly design, strong automation, and decent personalization using e-com data. It loses one star only because it lacks some of the ultra-advanced personalization possible with a CDP; otherwise, it’s a gold standard for SMB email marketing.

⭐⭐⭐⭐
Rich email capabilities tailored to retail: lots of templates, good automation, and especially strong product recommendation and predictive content features. Intuitive enough, but not as slick as Klaviyo’s UX. Still, it covers everything a marketer would need for email and then some.
⭐⭐⭐⭐⭐
Top-notch email functionality fully integrated with its data powerhouse. Maestra’s emails are the most personalized by far—every element can adjust to the recipient. It also provides all the pro features needed for large-scale sending and optimization. Essentially, Maestra does everything the others do in email, plus more dynamic personalization and cross-channel integration.
Klaviyo has long been regarded as a top-tier email marketing platform for e-commerce, and for good reason. It provides an intuitive drag-and-drop email editor with a wide range of templates to choose from (for newsletters, product showcases, announcements, etc.). Customizing email content to match your brand is straightforward—you can insert dynamic placeholders for customer names, product recommendations, discount codes, and more.
Klaviyo also supports advanced email personalization: for instance, you can show/hide certain blocks of content based on segment conditions (maybe a VIP-only message to VIP customers). One of Klaviyo’s biggest strengths is its library of pre-built automation flows for email. It has templates and guidance for flows like Welcome Series, Abandoned Cart, Browse Abandonment, Winback Campaigns, Birthday Emails, etc., which can all be tweaked or built from scratch.
These flows incorporate timing delays, conditional splits, and can include emails (and texts) as steps. On the deliverability and optimization side, Klaviyo offers useful tools like one-click domain authentication (to improve email legitimacy), an email previewer, and recently an A/B testing feature within flows and campaigns. It also has an email marketing benchmarks dashboard to monitor open rates, click rates, and even predictive analytics that estimate how a change might impact performance.
Another helpful feature is Smart Sending (to avoid over-emailing people by skipping sends if they’ve received another email from you recently). Overall, Klaviyo’s email suite is very comprehensive yet user-friendly—it’s often praised for enabling marketers to do sophisticated email marketing without needing a developer.
The only limitation in personalization is that Klaviyo is constrained by the data it has—it can personalize based on all the data it has about a person, but since it doesn’t have as deep a data pool as Maestra (no in-app or offline events by default), its personalization is not as deeply data-driven. But for e-commerce use (browse history, past purchases, etc.), Klaviyo covers almost everything. It’s also worth noting Klaviyo handles email deliverability well—it has built-in monitoring for bounce rates and a tool to warm up your sending if you’re new, which helps get better inbox placement
Listrak is also a very capable email marketing platform, with a focus on retail/e-commerce needs. It provides a drag-and-drop message builder and a variety of responsive templates, similar to Klaviyo. Marketers can design emails with product grids, coupons, and personalized content.
Listrak’s standout email features revolve around its AI and predictive insights. For example, Listrak’s builder can insert product recommendations directly into emails based on each recipient’s browsing or purchase behavior (which Klaviyo also can do, but Listrak’s algorithms might be more advanced here). Listrak offers automation triggers comparable to Klaviyo—like cart abandonment, post-purchase follow-ups, etc.—and because it ties into more channels, some of those can be cross-channel (though here we focus on the email component).
Where Listrak might lag a bit is the user experience of building emails and managing campaigns. Some users note the interface isn’t as modern or slick as Klaviyo’s or Maestra’s. A/B testing in Listrak’s email tool was not as accessible in the past (possibly requiring a separate process), whereas Klaviyo bakes it in easily. However, Listrak provides very detailed analytics on email performance, including conversion tracking (especially if you have their analytics script on your site to track revenue from each email). It also incorporates its predictive metrics into email—for instance, you could send different content to “high lifetime value” vs “low lifetime value” customers because Listrak computes that for you.
It’s clear that Listrak was built for e-commerce scale: it can send high volumes and is used by some large retailers, meaning reliability and deliverability infrastructure is solid. They also have tools for deliverability monitoring and list hygiene (like spotting mailable vs non-mailable contacts, etc.). In summary, Listrak’s email offering is powerful and geared towards maximizing revenue per send (with its AI features), though some users might find it a tad less nimble than Klaviyo or Maestra for quickly designing and deploying campaigns.
Maestra, being an all-in-one platform, includes a fully featured email marketing module that is on par with dedicated email tools. Maestra provides its own email composer, which produces clean, lightweight HTML to avoid the dreaded Gmail “clipped message” issue. They optimize the email code for deliverability (no extra bloat that might trigger spam filters).
Maestra’s editor is drag-and-drop and supports dynamic content blocks. This means you can set up an email template where certain sections automatically populate with content based on the recipient’s segment or behavior. For example, one content block might show a clothing sale banner, but if the recipient is male vs female, it could dynamically show men’s clothing vs women’s clothing—all within one email template.
Because Maestra has the CDP advantage, its email personalization can leverage any data point on the customer. If you’ve been collecting loyalty points or in-store visits, you can insert that into emails (e.g. “You have 50 points!” or a product that they browsed in-store via QR code scan, etc.). In addition, Maestra supports sending AMP for Email (interactive email content that can update or be clicked without leaving the inbox), which is a cutting-edge feature not widely supported in many email platforms.
It also allows advanced settings like controlling the frequency of emails to avoid oversending, and fine-tuning the sending infrastructure for high volumes (their email sending capacity is 500k/hour).
Another strength of Maestra’s email tool is testing and optimization: it has built-in A/B testing for campaigns, automated deliverability monitoring, (like an Email Health dashboard that compares your open/click rates to industry benchmarks and flags issues), and the ability to include conditional content or offers based on real-time data.
One unique capability is Maestra’s use of UTM parameters and tracking—since it’s omnichannel, it can ensure that every email link is tracked and even coordinate with other channels (like if someone clicks an email and then doesn’t purchase, maybe trigger an SMS, etc.).
In terms of raw functionality, Maestra’s email is very enterprise-grade: it’s built to handle complex campaigns with granular control and deeply personalized content. The flipside is that it might be more tool than a very small team needs if they just want to shoot out simple newsletters. But medium and large teams would appreciate the flexibility.
To compare, Klaviyo is arguably the easiest for a typical user to jump in and create great-looking emails and basic personalization. Listrak is powerful for optimization (especially product-centric emails) but slightly less approachable. Maestra offers the most sophisticated personalization and integration with other channels, turning emails into just one part of a unified customer conversation.

Email Winner: Maestra

While Klaviyo and Listrak both excel at email marketing, Maestra’s email capabilities take the crown for businesses that want the maximum personalization and control. With Maestra, every email can be uniquely tailored to each recipient’s profile and behavior in ways that the other platforms can’t natively match—thanks to the unified data and dynamic content. Also, features like AMP emails and built-in deliverability analytics give marketers cutting-edge tools to boost engagement.
For a team that just wants an easy, reliable email solution, Klaviyo might suffice as the “winner” in simplicity. But looking at raw power and integration, Maestra’s email is the most advanced of the trio, making it the winner in this category for those aiming to push the limits of email marketing.

Klaviyo vs Listrak vs Maestra: SMS

SMS (text message marketing) is another critical channel for reaching customers with timely, high-engagement messages. All three platforms offer SMS capabilities, but their approaches and level of integration differ.
Klaviyo
Listrak
Maestra
⭐⭐⭐⭐
Strong SMS capabilities that are easy to use alongside email. You get all the basics—automation, personalization, compliance—but it’s mostly centered on online behaviors. Lacks some of the deeper cross-channel nuance that a CDP brings, but excellent for straightforward SMS marketing.
⭐⭐⭐⭐
A very feature-rich SMS platform for commerce: supports MMS, two-way, and ties into other tools like loyalty and reviews. High throughput and advanced use cases are supported. It’s as capable as Klaviyo’s, arguably more in some areas, but similarly, without a unified CDP it’s leveraging mainly known behaviors and some predictive data for personalization.
⭐⭐⭐⭐⭐
Fully integrated SMS as part of an omnichannel strategy. It does everything the others do—personalized triggers, bulk sends, tracking—but also allows SMS to truly function as part of a larger conversation driven by unified data. The result is exceptionally coordinated SMS marketing, with rich real-time personalization and optimization.
Klaviyo added SMS to its platform a few years ago, making it a convenient unified hub for both email and text messaging. With Klaviyo SMS, you can collect SMS consent (for example, via forms or an email CTA that converts subscribers to SMS), manage subscriber lists, and send both campaign texts (one-off blasts, like a sale announcement) and automated texts (like an abandoned cart reminder or shipping update).
Klaviyo’s SMS editor is simple—since SMS is just text (with optional images or GIFs for MMS), you mostly write your message and maybe include personalization tags (like first name or a product name). You can also shorten URLs and track clicks via Klaviyo.
One of Klaviyo’s strengths is that SMS is integrated into the same Flow Builder as email. So you can create a single flow that has, say, an email immediately after cart abandonment, then a text 1 hour later if they haven’t purchased. This cross-channel logic is built-in. Klaviyo also makes it easy to enforce compliance (it tracks consent, allows opt-out keywords automatically, etc.).
For personalization, Klaviyo SMS can use any data in your Klaviyo profile to tailor the message. For example, “Hi John, the item you viewed (Product XYZ) is almost out of stock!”—if you have that data. Many brands use Klaviyo to send VIP customers special SMS-exclusive deals or to remind someone of their loyalty points (if integrated). It’s quite flexible for segmentation: since your SMS contacts are just a segment of profiles, you can target texts by location, behavior, etc., just like emails.
Klaviyo’s SMS is U.S.-centric (and a few other countries) in terms of built-in support for short codes and compliance. It offers tools like “Quiet Hours” so you don’t text people at 3 AM, and automatically handles things like opt-out phrases (“STOP” replies get unsubscribed). Overall, Klaviyo’s SMS is powerful and convenient, especially for those already using its email—everything lives in one workflow.
Listrak has offered SMS (and MMS) marketing for quite some time as part of its cross-channel suite. Listrak SMS includes all the standard capabilities: you can send bulk texts, set up automated triggered texts (like a cart abandonment text, which Listrak can trigger when a customer with a phone number in your list abandons a cart), and even two-way messaging (allowing customers to reply and potentially engage in a short conversation or confirmation).
Listrak also has support for MMS (multimedia messages) so you can include images or GIFs in your texts, which is great for rich promotional messages. What sets Listrak’s SMS apart is how it ties into their identity resolution and data. They mention that they can convert email subscribers to SMS by identifying their phone numbers or by prompting them, which increases your reach.
Also, Listrak can reward SMS subscribers with loyalty points (if integrated with loyalty partner) or solicit reviews via SMS, making use of their multi-product ecosystem. They also were among the first to implement RCS in the US (Rich Communication Services, an upgrade to SMS on Android phones), indicating they’re forward-looking on SMS tech.
Listrak’s automation builder lets you incorporate SMS similar to Klaviyo. For example, their flows can be set so that if someone doesn’t open an email in 2 days, send an SMS follow-up, etc. They provide compliance tools and guidance too—like managing opt-in keywords, opt-out, and obtaining proper consent (which is crucial for SMS legality).
Anecdotally, Listrak’s clients often remark that having SMS and email together in Listrak helped them increase reach and revenue from cart recovery significantly—some shoppers respond better to text reminders. And because Listrak can personalize the content of SMS (for example, including the cart items or a first name), it remains relevant.
Maestra integrates SMS as a native channel in its omnichannel flows. In Maestra’s platform, SMS isn’t an add-on—it’s part of the core, so you can design a customer journey where an SMS is just one step of many, fully informed by the same CDP data.
This means if, say, a customer’s behavior indicates they prefer texts (maybe they click SMS links more often than email), you can funnel them more towards SMS communications automatically. Maestra supports bulk SMS campaigns (you can filter your profiles and send out a promotional text to, say, all customers who haven’t bought in 3 months). It also supports triggered SMS—including complex triggers.
For example, Maestra could send an SMS when a certain combination of events occurs (like customer viewed a product three times without purchasing, and that product just went on sale). Because of the CDP, triggers can be very fine-grained. In terms of features, Maestra offers things like cross-device recognition (so if a user is identified on the site and you have their phone, you know exactly who to text), URL shortening and tracking in SMS (similar to Klaviyo), and built-in A/B testing for SMS content.
High-volume sending is supported (as noted, up to 250k messages/hour), which is plenty even for large campaigns. Also, Maestra can handle ticketed SMS (like sending unique coupon codes or event tickets via SMS with the link personalized).
Like the others, Maestra ensures compliance by managing opt-outs and time windows. Additionally, because the same automation can branch into email or SMS, Maestra can do cool things like: if a user doesn’t respond to an email, then send them an SMS, but if they do, maybe skip the SMS. This reduces redundancy and over-messaging.
One more advantage of Maestra’s approach: you can use all that segmentation to target SMS. For instance, you could send a back-in-stock SMS only to a segment of customers who showed interest in that specific product (via browsing data) and are VIP members, tailoring the content to say “Hey [Name], your favorite [Product] is back in stock—use your VIP status for free shipping if you purchase today!” That level of nuance is easier when your segmentation is powerful.
Overall: Klaviyo and Listrak both provide robust SMS marketing integrated with their email. Klaviyo is known for making it easy for smaller brands to get into SMS (they have straightforward pricing and even a free allotment in trial). Listrak is used by bigger retailers who want two-way SMS and advanced campaigns. Maestra offers everything expected in SMS plus benefits from real-time data integration across channels.

SMS Winner: Maestra

Maestra wins in the SMS category because it treats SMS not as a siloed channel, but as one thread in a continuous dialogue with the customer. It connects SMS with all other channels seamlessly—so your texts always complement (and never duplicate) your emails, pushes, and other outreach.
The level of personalization (thanks to the CDP) is unmatched: Maestra can send smarter texts triggered by very specific behaviors or customer statuses, ensuring higher relevance. Klaviyo and Listrak both offer excellent SMS platforms, especially for sending marketing texts and basic cross-channel triggers (like cart recovery). They are great choices if you want to add SMS to your toolkit. But if you need the most context-aware and integrated SMS marketing, Maestra is the platform that stands out, by making SMS a fully unified part of your customer engagement strategy rather than a standalone channel.

Klaviyo vs Listrak vs Maestra: Website and Email Product Recommendations

Product recommendation engines help personalize the shopping experience by suggesting relevant products to customers, either on the website or within marketing emails. This factor looks at how each platform facilitates product recommendations across web and email.
Klaviyo
Listrak
Maestra
⭐⭐⭐
Offers basic personalized product recommendations in emails using product feeds and collaborative filtering. It covers the standard needs but lacks the sophisticated AI of the others. No native on-site rec widget besides what you DIY.
⭐⭐⭐⭐
Robust predictive recommendation engine. Provides highly relevant suggestions on site and in email, using machine learning on tons of data. Marked down only because it might require more setup and isn’t built into as many channels as Maestra—but it’s a very strong capability in its own right.
⭐⭐⭐⭐⭐
Advanced AI recommendations everywhere. It predicts what each customer is likely to buy next and can serve that on the website, in emails, and even use those insights in ads or other channels. Its extensive algorithm options and real-time data integration make its recommendations extremely on-point and up-to-date.
Maestra includes an AI-driven product recommendation system for both web and email. On the website, Maestra can display widgets like “Recommended for you” or “You might also like” on pages (home, product, cart, etc.), and these are dynamically populated based on the individual’s browsing history, past purchases, and even similar customer behaviors.
In email, Maestra can insert recommended products into any campaign or automation email—e.g., a follow-up email showing items related to what the customer browsed but didn’t buy, or a weekly new arrivals email sorted by what each recipient is likely to be interested in. Under the hood, Maestra offers a set of +14 pre-built algorithms for recommendations. These algorithms cover scenarios like “customers who bought X also bought Y, ” “trending products, ” “complementary products, ” “recently viewed, ” etc., and Maestra can pick the best one for the context
Marketers can also manually tune or rule-base the recommendations if needed (for instance, ensuring the widget never shows out-of-stock items, or always shows at least one item from the same category as the currently viewed item). Because Maestra’s recommendations are in real-time, they can even change if a product goes out of stock or if the user’s behavior shifts in-session. The benefit of Maestra’s approach is a very holistic recommendation engine that’s part of the larger personalization toolkit. It doesn’t only rely on collaborative filtering; it can also factor in things like the customer’s affinity (if the CDP knows a customer favors a certain brand or color, recommendations can incorporate that).
Listrak similarly provides predictive product recommendations which can be used on site and in emails. Listrak’s recommendations are a known strength—they leverage the large amount of data Listrak gathers to predict what a customer is most likely to buy next.
Listrak’s system can consider both a customer’s personal behavior and overall trends. For example, it can do personalized recommendations like “Recently Viewed Items” or “Because you liked [Brand]” for individual relevance, and it can also do more general ones like “Best Sellers in [Category]” or “New Arrivals you may like” that are tailored with some personal twist (such as not showing items the customer already bought).
One neat feature Listrak (as well as Maestra) highlights is using anonymous browse data to recommend products—that means even if a visitor isn’t identified by email, Listrak can start personalizing recommendations during that session based on what they click on. If they later identify (like they sign up or purchase), those behaviors can be tied to their profile for future use.
Listrak’s recommendations can be deployed via their scripting on your site (to insert the content in designated divs) and via their email system (merging in product blocks). They also mention open-time optimization—ensuring that an email doesn’t recommend an item that went out of stock by the time you open it. Likely they achieve that by regenerating recommendations at email open time for some email clients (though true open-time content may need certain techniques). Either way, Listrak is highly regarded for helping increase average order value and cross-sells with its recommendation engine. Many users see lift in revenue when turning on things like “People Also Bought” carousels powered by Listrak’s data.
Klaviyo offers product recommendations primarily through its Product Feeds feature. Klaviyo can integrate with your e-commerce product catalog (if using Shopify, Magento, etc., it can pull in product data like names, images, prices). With that, you can set up certain basic algorithms: e.g., “Show popular products in this category” or “Show products related to this item.”
Klaviyo uses a form of collaborative filtering for one of its algorithms called “Products a customer may also like,” which looks at relationships between products across the whole database. For example, if customers who buy product A often buy product B, then B can be recommended when someone shows interest in A. This is a simpler AI compared to what Maestra or Listrak likely have, but it’s functional.
In emails, Klaviyo allows dynamic blocks that use these product feeds—so you might include a feed of “Recommended for you” products in a flow email. It also supports showing a customer’s recently viewed items in emails, since it tracks that behavior. On the website, however, Klaviyo doesn’t natively place recommendation widgets. You might embed a Klaviyo-generated feed into an email capture form or custom web page, but Klaviyo doesn’t act as a site personalization tool. Typically, Klaviyo users either rely on their e-commerce platform’s built-in recommendation features or a third-party app for on-site recommendations, while using Klaviyo’s for emails only.
Klaviyo’s recommendation capabilities are decent for being part of an email tool—they cover scenarios like browse abandonment emails (“You looked at X, you may also like Y and Z”), or post-purchase cross-sell emails (“Since you bought a camera, you might need these accessories”). However, Klaviyo doesn’t have the extensive algorithm library or the heavy ML of a dedicated rec engine. It’s more rules-based with a bit of collaborative filtering thrown in. This means it might not optimize as finely for each individual as Listrak or Maestra would after tons of data crunching.

Website and Email Product Recommendations Winner: Maestra

Maestra takes the lead in product recommendations by leveraging its unified data and AI to deliver truly personalized suggestions. Whether a customer is browsing your site or reading an email, Maestra’s recommendations adjust to their behavior and preferences in the moment, increasing the chances they’ll discover a product they love.
Listrak’s recommendation engine is a close competitor—it’s very powerful and will certainly drive results, especially for retailers with sufficient data. In fact, a brand solely focused on e-commerce email/web might find Listrak’s recommendations nearly as effective.
However, Maestra edges out with its real-time CDP-driven approach, meaning the recommendations are part of a larger personalization ecosystem (they can be combined with promotions, loyalty status, etc., for even more relevance).
Klaviyo’s recommendation feature is handy for basic needs, but if product recommendations are a key strategy for upselling and personalization, Klaviyo can’t match the intelligence of Maestra or Listrak. Thus, for maximizing product discovery and cross-sell potential through tailored suggestions, Maestra is the winner in this category.

Klaviyo vs Listrak vs Maestra: Promotions and Referrals

In this section, we’ll compare how each platform handles promotional campaigns (like coupons, discounts, limited-time offers) and referral programs (where customers refer friends in exchange for rewards). These features help drive acquisition and repeat purchases by incentivizing customer actions.
Klaviyo
Listrak
Maestra
⭐⭐⭐
Great at delivering promotional messages and supporting unique coupon codes, but lacks a native system for referrals or complex promotion rules. You’ll need third-party tools for managing the actual programs. Klaviyo ensures those promotions reach the right people at the right time through email/SMS/forms.
⭐⭐⭐⭐
No native loyalty/referral module, but very adept at executing promotion strategies. Its on-site tools and multi-channel messaging mean your promo campaigns get in front of customers effectively. It partners well with referral/loyalty systems to make referrals a success. Slightly limited by reliance on external program management, hence not full marks.
⭐⭐⭐⭐⭐
Complete promotion and referral management in-platform. You can design referral programs and promo campaigns with fine-grained targeting and have Maestra coordinate their rollout across email, SMS, on-site, etc. Maestra tracks results and can even chain promotions in response to customer behavior. It’s the most powerful and convenient solution here for running promotions and referrals.
Maestra has a built-in Promotions engine and Referral program module as part of its all-in-one platform. This means you can create and manage various promotions directly in Maestra. For example, you could set up a “10% off for first-time buyers” promotion, or a “Buy One Get One Free this weekend” sale, and Maestra will generate unique coupon codes (if needed), track their usage, and crucially, allow you to target and distribute these promotions across channels.
Because Maestra ties promotions to its CDP, you can do very targeted promotions: like giving a specific segment a special offer (e.g. a win-back discount to lapsed customers) or running a time-limited offer that is promoted via email, SMS, and on-site banner simultaneously, all coordinated in Maestra. You can also chain promotions in Maestra (like an escalating offer: first send 10% off, if no purchase then send 15% off next week, etc.), which is advanced.
For referrals, Maestra’s platform supports referral programs where customers can be given a referral link or code to share with friends. You can configure the reward (e.g. the referrer gets $20 credit after the friend makes a purchase, and the friend gets 10% off their first order). Maestra can generate and track these referral codes. Since it’s omnichannel, you can promote the referral program through any channel and also possibly reward referrals dynamically—for instance, automatically send referrers an email or SMS with their reward once a referral purchase happens.
Also, Maestra’s referral program is integrated with its loyalty features (if you choose to use loyalty points for referrals, it can credit points). Overall, Maestra’s promotion and referral capabilities are flexible and deeply integrated. They work in real-time too: if a certain promotion is supposed to expire at midnight, Maestra stops it everywhere (site banner comes down, code no longer valid) precisely.
Listrak does not have a native loyalty or referral program feature out-of-the-box, but it does facilitate promotions extensively through its marketing channels. For promotions, you can use Listrak to distribute coupon codes via email or SMS. Listrak can ingest discount codes from your e-commerce platform or even call an API to generate a unique code per customer for a campaign.
Many brands use Listrak to send “personalized offers”—for example, a unique one-time code to a customer on their birthday, or a “complete your purchase” coupon in an abandoned cart text. Listrak’s GXP module also focuses on on-site promotions: it can display pop-ups with offers (like spin-to-win games or quizzes that end in a coupon). It optimizes how and when these offers appear to maximize conversion without annoying customers.
So while Listrak might not manage the logic of the promotion (like deciding if a code is valid or tracking redemptions itself—that’s typically the e-comm platform’s job), it does an excellent job at delivering promotions to the right audience and capturing engagement. For referrals, Listrak relies on integrations with referral marketing tools (the Listrak partner directory includes referral/loyalty platforms like Extole and Friendbuy).
They even co-market that combining Extole (a referral platform) with Listrak GXP can boost growth. In practice, a brand might use Extole to manage referral links and rewards, and Listrak to send emails or pop-ups encouraging customers to refer and to follow up on referral status. Listrak can ingest data from Yotpo Loyalty & Referrals into its system (via integration) to, for instance, segment customers by number of referrals or include referral links in communications. But Listrak itself doesn’t run a referral program—you’d still need that external component.
Klaviyo likewise doesn’t have a built-in loyalty/referral program. It integrates with popular loyalty/referral apps (like Smile.io, ReferralCandy, etc.). Klaviyo is often used as the communication layer for those programs: the loyalty app sends events to Klaviyo (like “Customer X earned 100 points” or “Referral Y completed a purchase”), and Klaviyo triggers an email from that.
For promotions, Klaviyo can generate unique coupon codes if you’re on Shopify (through Shopify’s discount API) and insert them in emails. Klaviyo has a feature where you can upload a list of one-time use codes and it will pull one per email recipient. This is handy for controlled promotions. But Klaviyo does not manage the broader context of promotions (like scheduling a sale site-wide—that you do in Shopify, and then use Klaviyo to announce it).
One area where Klaviyo contributes to promotions is through its sign-up forms: you can offer a welcome coupon easily via a pop-up and have Klaviyo email it to the new subscriber. Klaviyo tracks who used which coupon if you connect it with the store data, so you could, for example, segment those who didn’t use their coupon and remind them. However, the actual enforcement of promotions (ensuring one per customer, expiry) is done by the e-commerce backend.

Promotions and Referrals Winner: Maestra

Maestra is the clear winner for promotions and referrals because it provides the entire toolkit under one roof. If you want to launch a loyalty points referral program or a tiered discount campaign, you can do it directly in Maestra without needing another app—and crucially, those promotions integrate with all your channels and customer data. This reduces friction (no manual importing codes or reconciling data from separate systems) and opens up creative possibilities (like instantly changing an offer for a customer segment showing low response).
Klaviyo and Listrak are both highly effective at marketing your promotions and referrals—so if you already have a simple referral program or a coupon strategy, they will ensure those get to customers via nicely orchestrated emails, texts, and pop-ups. However, neither manages the program itself, which means extra work and potential fragmentation.
For a business that wants to aggressively use promotions (flash sales, conditional offers, etc.) and harness referrals as a growth channel, Maestra provides a more unified and powerful solution. It offers not just communication but also the logic and reward handling, making it the top choice in this category.

Klaviyo vs Listrak vs Maestra: Loyalty Programs

Customer loyalty programs reward repeat purchases or engagements, often through points, tiers, and special perks. Here we compare how (and if) each platform supports loyalty programs.
Klaviyo
Listrak
Maestra
⭐
No native loyalty program. Requires third-party tools to implement a points/tier system, though it integrates well with those. On its own, it can only segment and target frequent shoppers in basic ways, not run a full program.
⭐
No native loyalty program either. While it integrates with loyalty platforms and can execute loyalty marketing effectively, the platform itself doesn’t manage points or tiers. Essentially in the same position as Klaviyo for this feature.
⭐⭐⭐⭐⭐
Fully featured loyalty program built in. Points, tiers, rewards—all configurable within Maestra and tightly integrated with its marketing channels. This makes it far superior for a brand that wants to launch and manage a loyalty program without needing additional software.
Maestra includes a comprehensive loyalty program feature as part of its platform. This means you can create a points-based loyalty system directly in Maestra. You define how customers earn points (e.g., $1 = 1 point, actions like creating an account or writing a review = some points) and how they can redeem them (for discounts, freebies, etc.).
You can also set up VIP tiers (e.g., Silver, Gold, Platinum) based on either points or total spend, where each tier can have its own benefits. Maestra allows customization like naming your points (e.g. “Coins” or “Miles” instead of generic points) and setting expiration rules. Because it’s natively integrated, the loyalty data instantly reflects in Maestra’s CDP.
This means you can use loyalty status in segmentation—for example, targeting all “Gold” tier members with an exclusive offer, or re-engaging those who have points about to expire. Maestra’s omnichannel capabilities shine here: loyalty is not just an isolated program; it’s woven into all channels. For instance, you can show a web popup to a customer on checkout reminding them “You have 100 points, apply them to save $10 now!” or send a push notification when they reach a new tier.
The platform tracks all point transactions and redemptions, providing reports on loyalty-driven revenue. Essentially, Maestra’s loyalty program is enterprise-grade—on par with dedicated loyalty software—but with the big advantage that it’s in the same system as all your other marketing data and tools.
Listrak doesn’t have a built-in loyalty points system. Instead, it tends to integrate with loyalty platforms. Many Listrak clients use tools like Yotpo Loyalty, Smile.io, or Zinrelo, which handle the earning/redeeming of points and store that info. Listrak then brings in that data through integration (often via data feeds or API).
For example, Listrak can ingest loyalty point balance or tier info and then allow you to segment emails or messages based on that (like emailing customers when they have enough points for a reward, etc.). Also, Listrak’s Journey Hub could incorporate loyalty triggers—if it receives an event like “Customer joined loyalty program” or “Customer reached VIP tier,” you can start a welcome series or VIP perks message.
Although Listrak doesn’t manage loyalty logic, it works well with them. Some integration examples: they have documentation for integrating Yotpo’s loyalty so that, say, loyalty point balances sync to Listrak profiles. Listrak also partners with providers like Extole (referrals) which ties into loyalty. Additionally, if a brand doesn’t want a full loyalty program but wants to treat repeat buyers specially, Listrak’s segmentation can mimic some of that (like identifying the top 10% customers by spend and calling them VIP for targeting purposes).
In terms of features they don’t have: you can’t set up points issuance or create reward redemption logic in Listrak itself. That’s why many use a partner app. If a business doesn’t use a separate loyalty app, Listrak alone might not fulfill a complex loyalty initiative beyond just manual efforts.
Klaviyo similarly doesn’t offer a native loyalty program. It is built to integrate with loyalty systems. For instance, Klaviyo has native integrations with Smile.io and others: these send events (like “Earned points” or “Redeemed reward”) into Klaviyo, and add loyalty attributes to the customer profiles (like current point balance, VIP tier). Klaviyo then allows you to use those in emails.
Klaviyo’s strength is in creating flows around loyalty data. For example, if you connect Smile.io to Klaviyo, you can easily implement flows like “Customer just reached VIP tier 2 → trigger an email congratulating and outlining new perks” or “Customer has points expiring next month → send reminder email series.” But the actual loyalty ledger and rules live in the loyalty app.
So with Klaviyo, you get excellent communication for loyalty (transparency of point balances in emails, etc.), but you need a third-party app for customers to earn and burn points, and to have any customer-facing interface like a loyalty widget on your site.
One thing to mention: some smaller businesses opt not to run a formal points program but still use Klaviyo to treat repeat customers differently (like making their own “loyalty segment” of customers with X purchases and marketing uniquely to them). Klaviyo can support that via segmentation conditions (e.g. Number of Orders >= 5). But that’s more ad-hoc and not the same as a real loyalty program with points and rewards.

Loyalty Programs Winner: Maestra

Maestra is overwhelmingly the winner in the loyalty programs category. Neither Klaviyo nor Listrak offer a built-in loyalty solution—they both depend on external apps to provide that functionality, acting only as facilitators in communicating loyalty info.
Maestra, on the other hand, lets you create, manage, and market your loyalty program all in one place. For a business looking to grow customer lifetime value through a points or VIP program, Maestra’s integrated approach is a game-changer. You can set up the program and instantly use Maestra’s segmentation and omnichannel messaging to drive engagement with it (like sending points statements, exclusive tier offers, etc.).
The competition simply cannot do that on their own. They are fine companions to a loyalty app, but Maestra is the loyalty app plus the marketing engine combined. Thus, if a robust loyalty program is part of your retention strategy, Maestra is the platform that fulfills that need directly, making it the clear winner here.

Klaviyo vs Listrak vs Maestra: Mobile and Web Push Notifications

Mobile push and web push are channels to re-engage users even when they’re not actively on your site or reading emails. We’ll compare how each platform supports these push notification channels.
Klaviyo
Listrak
Maestra
⭐⭐⭐⭐
Klaviyo has added push notifications, allowing unified messaging across email, SMS, and now push for those with apps or web push subscribers. It’s relatively new but effective—plus everything is in one flow builder. Not full marks only because it’s a newer feature and not as deeply entrenched as email/SMS yet.
⭐⭐⭐⭐
Supports web push out-of-the-box and possibly mobile push via some integration. You can engage web visitors with notifications and include push in cross-channel journeys. It’s a solid feature but push is not as central in Listrak as email/SMS—still, the capability is there for those who leverage it.
⭐⭐⭐⭐⭐
Complete push notification capabilities across web and mobile. Highly customizable messages with rich media, and fully integrated with its CDP for real-time triggers. Maestra treats push as a first-class channel, with the analytics and testing to optimize it.

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Maestra includes both mobile push and web push notification capabilities as part of its omnichannel outreach. For mobile push, Maestra can integrate with your mobile app (via SDK) to send notifications to users who have your app installed. This is great for e-commerce apps or loyalty apps, where you can send alerts about sales, new products, order updates, etc., directly to a user’s phone notification tray.
For web push, Maestra can prompt website visitors to allow notifications (the little “allow notifications” pop-up in browsers). If they opt in, you can send them notifications even if they’re not on your site at that moment—for example, “Price drop on an item in your wishlist!” that appears on their desktop or phone from the browser.
Maestra treats push as just another channel in its platform, so you can incorporate push notifications into the same flows and segmentation as email/SMS. It offers a push campaign builder with customization: you can include images, choose notification buttons (which can lead to specific URLs or deep links), and tailor the content for platforms (Android vs iOS differences). Maestra also provides analytics on push performance and allows A/B testing of push content.
The push notifications support action buttons (e.g., a notification with “Shop Now” or “Dismiss” options) and of course, clicking leads the user to a desired page. Importantly, Maestra’s push is real-time and personalized. You could send a trigger like “item back in stock” as a push to any user who subscribed to that product, or “You left something in your cart” as a push within minutes of abandonment.
Because it’s omnichannel, Maestra can even coordinate—e.g., send a web push first, if not clicked then an email, etc., making sure not to bombard on all channels at once unnecessarily.
Listrak does support web push notifications and possibly mobile push via integrations. On their site, they explicitly mention push as one of the channels they handle. This suggests Listrak has a web push capability built in. Many e-commerce marketers have used Listrak’s web push to capture subscribers for quick announcements or cart reminders.
Typically, Listrak’s web push would allow you to design notifications and target them similarly to how you target emails. If the user’s browser is subscribed, Listrak can send them the message.
For mobile push, Listrak doesn’t have its own mobile SDK, but they might integrate with customer engagement tools or if a client’s mobile app can accept push via something like Firebase or Airship, Listrak could potentially trigger those via integration. It’s not a heavily advertised feature like their email/SMS, which implies it might be secondary or reliant on custom work.
They also mention RCS (which is technically more like advanced SMS, but shows they keep up with messaging tech). Some Listrak clients might not use web push as widely, but it’s there as a supplement for high-traffic sites where capturing an extra 1-2% of visitors via push can add revenue.
Klaviyo historically did not offer push notifications, focusing on email/SMS. However, recently Klaviyo introduced mobile push notifications for apps that use their new SDK. Klaviyo launched in-app messaging and push for mobile as part of a new customer engagement SDK, which they’re evolving. They also announced plans for web push notifications.
In contrast, Maestra had these capabilities fully fleshed out as part of the vision of unified messaging, and Listrak at least covers them enough to check the box.

Mobile and Web Push Notifications Winner: Maestra

Maestra wins the push notifications category thanks to its fully integrated and advanced push features. It allows businesses to craft rich, targeted push campaigns just as easily as email or SMS, and crucially, use the same segmentation and automation engine to drive them
This leads to more coherent cross-channel campaigns (e.g., a sequence might use email, then push, then SMS depending on user engagement). The ability to fine-tune scheduling, add images, buttons, and test performance of push messages in Maestra sets it apart as well.
Klaviyo and Listrak have made strides in adding push notifications to their offerings, which is great for marketers wanting all channels in one place. For brands already on those platforms, it means one less tool to use.
If engaging customers via browser or app notifications is a key part of your strategy—such as sending flash sale alerts or reminding users on mobile about their rewards—Maestra provides a more powerful and seamless push solution, making it the winner in this category.

Klaviyo vs Listrak vs Maestra: User-Generated Content

Klaviyo
Listrak
Maestra
⭐
No built-in UGC management. It relies on third-party apps for reviews or social content. Klaviyo can send automated review request emails post-purchase and use incoming review data (via integration) to segment or personalize emails, but it doesn’t collect or display UGC itself.
⭐
Listrak doesn’t directly handle UGC either. It integrates with platforms like Yotpo or Trustpilot to incorporate reviews and ratings into marketing. Through those integrations, you can, for example, include star ratings in emails. But collecting and moderating UGC is left to dedicated tools.
⭐⭐
Maestra doesn’t manage UGC content, but it incentivizes it through its loyalty and promotions. For instance, you can reward customers with points for writing a review or sharing on social media.

It also connects with review platforms to utilize that content in personalization.

Essentially, Maestra encourages UGC and makes use of UGC data, even though it doesn’t host a reviews system itself.
Klaviyo doesn’t manage reviews or collect UGC on its own. What Klaviyo can do is ingest data from UGC platforms and use it in communications. For example, if a customer leaves a 5-star review on your site (via a tool like Judge.me or Yotpo), Klaviyo can get an event and then trigger a follow-up email like “Thank you for your review!”
You could also segment customers by review sentiment (say, target those who gave a 5-star review with a referral ask, or those who gave 3-star with a support follow-up). Klaviyo has integrations for common review apps to allow these uses. However, Klaviyo itself does not display reviews on your site, or moderate them. That’s outside its scope.
Klaviyo can also incorporate UGC into emails manually—for instance, some brands export a list of top reviews or customer photos and then design them into an email via Klaviyo’s editor, but that’s a manual creative process, not an automated feature.
Listrak also does not have a built-in reviews/UGC management system. Like Klaviyo, it integrates with UGC providers. Listrak touts being able to use review data in segmentation (for example, identify VIPs who also gave high ratings, or conversely, people who had a negative experience, then do something about it).
Listrak can also assist in collecting UGC indirectly: e.g., sending emails or texts asking for a review after purchase, maybe offering loyalty points via integration for doing so. In that sense, Listrak can incentivize UGC by connecting with the loyalty platform (like “Review this product for 50 points”—Listrak sends the invite, loyalty app gives the points, review app collects the content).
Listrak doesn’t offer features to curate or display social media content, etc. However, it does integrate with Yotpo which aside from reviews also does Instagram UGC galleries. If a client uses Yotpo or similar, Listrak can automate messaging around that content (like “Check out how others are using our product” emails, etc., pulling maybe an image or two if the integration supports it via API).
Maestra likewise does not have a built-in reviews/ratings platform. It focuses on using incentives to encourage UGC rather than hosting it. For example, Maestra’s loyalty program could reward points for writing a review or sharing a photo on social media. But the actual review system would be a third-party integrated into the storefront.
Maestra’s role is to incentivize and leverage UGC, not to collect or display it directly. One could use Maestra to monitor interactions related to UGC—if integrated, or at least to do something like “everyone who submitted a photo contest entry gets a special reward” by marking those profiles.
Also, Maestra’s omnichannel approach could amplify UGC: for instance, detect when a customer creates content (like tags the brand on Instagram) and then send them a thank-you via email or SMS (provided you have some connection through the API or at least a manual process to input that).
But overall, none of these three is a UGC management tool. They depend on other platforms for the heavy lifting of UGC collection and moderation.

User-Generated Content Winner: N/A (No clear winner)

In this comparison, none of the three platforms is focused on UGC as a core feature—so there isn’t a clear “winner” for UGC management. If we had to choose, Listrak and Klaviyo are roughly on par, and Maestra edges slightly ahead only because its loyalty integration can drive UGC engagement a bit more.
All three platforms can work with UGC indirectly:
  • Klaviyo can trigger emails to request reviews after purchase and personalize messages using review data (e.g., only ask happy customers for a referral).
  • Listrak can include star ratings or customer photos in emails via integrations and use review insights (like sentiment) in segmentation.
  • Maestra can incentivize customers to produce UGC (by offering loyalty points for reviews or referrals) and then leverage that behavior data in its omnichannel marketing.
If UGC is a priority, you will likely use a dedicated UGC platform alongside any of these marketing platforms. They all integrate with major UGC/review tools to help incorporate customer-generated content into your marketing, but none will replace a platform specifically built for UGC management.

Klaviyo vs Listrak vs Maestra: Ad Optimization

Ad optimization refers to how the platform helps with paid advertising efforts—especially on channels like Facebook, Google, Instagram—and whether it can improve ad targeting or performance using customer data.
Klaviyo
Listrak
Maestra
⭐⭐⭐
Provides basic custom audience sync features for Facebook/Instagram and Google, which help refine targeting and reduce overlap. It’s helpful for aligning your email segments with ads, but lacks deeper ad analytics or optimization features—it’s not much beyond audience sharing.
⭐⭐⭐⭐
Offers robust audience automation with direct integrations to major ad platforms. Listrak can push dynamic segments and predictive audiences to improve ad targeting and suppression, effectively lowering acquisition costs and improving relevance. It stops short of managing ads but significantly enhances them via data.
⭐⭐⭐⭐⭐
Acts like a brain for your paid media—exporting highly refined audiences and lookalikes to ad networks in real time. It also ingests lead form data from ads and tracks multi-channel attribution. Maestra’s use of unified data can greatly optimize ad spend by focusing budget on the most convertible segments and avoiding waste.

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Maestra offers features for paid media optimization by exporting and syncing its rich customer segments to ad platforms. Since Maestra has extremely granular segments (from its CDP), you can create very precise audiences for lookalike modeling or retargeting in Facebook Ads, Google Ads, etc.
For example, you could have Maestra automatically push a segment of “High LTV customers who haven’t bought in 3 months” to Facebook as a custom audience for re-engagement ads. Or create a segment of “Customers who browsed but didn’t buy in the last week” and use that for Google Display retargeting.
Maestra also captures leads from paid social ads (it can ingest Facebook Lead Ads form submissions directly), which means it can quickly follow up or incorporate those leads into omnichannel flows. This closes the loop from paid media into owned media.
By using precise segments from Maestra, companies can reduce ad spend waste—focusing ads on highly relevant users or excluding existing customers from prospecting campaigns to not overlap. Maestra claims to help reduce cost by utilizing these precise segments. However, Maestra itself is not an ad buying platform; it optimizes by feeding data to those platforms and measuring results (it tracks if those ads led to conversions, since it sees downstream purchases, allowing for better attribution).
Listrak similarly has features to improve ad campaigns through its Listrak Exchange module. Listrak Exchange connects Listrak to Facebook, Instagram, Google, and Twitter ads accounts to sync audiences in real-time.
So, you can build segments in Listrak (e.g., email subscribers who haven’t purchased, or frequent buyers, etc.) and automatically create corresponding Facebook Custom Audiences or Google Customer Match lists. Listrak highlights use cases like:
  • Creating lookalike audiences based on high-value customers (since Listrak knows who those are via purchase data).
  • Retargeting cart abandoners on Facebook with dynamic product ads (Listrak can send the cart data to FB).
  • Suppressing current customers from acquisition campaigns, etc.
This is very akin to what Maestra does. Additionally, Listrak’s predictive analytics (like likelihood to purchase or category affinity) can feed into making smarter ad audiences (e.g., target those predicted likely to buy with ads for high-margin products, etc.).
Listrak doesn’t manage bidding or creative on ads, but by ensuring the right data goes to ad platforms, it helps maximize ROAS. Many Listrak clients see lift from using these tailored audiences compared to broader targeting.
Klaviyo has some integration for ads, but less extensive historically. Klaviyo can sync segments to Facebook as Custom Audiences natively (they introduced this for Facebook and Instagram via the Facebook Ads integration).
This means you can automatically push a Klaviyo segment (say, “VIP Customers” or “People who viewed category X but didn’t purchase”) into Facebook Ads Manager, and then you can use that audience in your campaigns manually. Similarly, Klaviyo integrated with Google Ads Customer Match recently, allowing you to maintain suppression or targeting lists in Google.
Klaviyo’s data on browsing and purchase can thus be used to create better retargeting campaigns. But beyond syncing audiences, Klaviyo doesn’t do much in terms of ad optimization—it doesn’t have predictive models for ads or direct ROI measurement of ads built in. It focuses on owned channels, with the philosophy that owned (email/SMS) can reduce reliance on paid ads.
However, Klaviyo’s documentation does encourage using it for things like syncing a list of newsletter subscribers to Facebook to exclude them from seeing sign-up ads (saving ad dollars), or creating lookalikes of high repeat purchasers. It’s not as advanced as a full CDP, but for many SMBs it’s enough to avoid needing a separate audience automation tool.

Ad Optimization Winner: Maestra

Maestra wins in ad optimization because it leverages its comprehensive customer data to dramatically improve paid advertising efficiency. By continuously syncing nuanced segments (based on real-time behaviors and lifetime value) with platforms like Facebook and Google, Maestra allows marketers to run hyper-targeted campaigns and accurate lookalikes that often yield better ROI. It closes the loop by also capturing ad-driven leads back into the system and measuring outcomes, so you can attribute which segments or campaigns are driving purchases.
Listrak is a close contender here—it offers a similar capability through its Exchange product and is very effective for retailers using those features. If you implement Listrak’s audience sync, you’ll likely see a boost in ad performance and cost savings by not overspending on existing customers or low-value prospects.
Klaviyo’s ad integrations are useful but fairly rudimentary in comparison. They serve small to mid-sized advertisers who want a simple way to unify messaging and targeting, but they don’t dive as deep into optimizing ad spend with predictive or real-time data at scale.
In summary, for businesses heavily investing in paid media, Maestra provides the most advanced toolkit to optimize ads, making sure every dollar is spent on the right audience at the right time. Listrak can achieve much of the same benefit, while Klaviyo offers a light version of these capabilities.

Klaviyo vs Listrak vs Maestra: Reporting and Attribution

Accurate reporting and attribution help marketers understand which campaigns and channels are driving results (and revenue), and how customers interact across touchpoints. We’ll compare the analytics, reporting dashboards, and attribution capabilities of the three platforms.
Klaviyo
Listrak
Maestra
⭐⭐⭐⭐
Excellent, easy-to-use reporting for email and SMS performance. Provides revenue attribution to messages, customer metrics, and basic multi-channel dashboards. Might lack some multi-touch or holdout testing sophistication, but more than sufficient for data-driven decisions for most small-medium businesses.
⭐⭐⭐⭐
Comprehensive reporting suite tailored to e-commerce. Shows campaign/channel ROI, customer value metrics, and predictive insights. Attribution is solid for owned channels, though not fully cross-channel in scope. Its analytics depth for retail (RFM, product trends) is a bonus that helps marketers refine strategies.
⭐⭐⭐⭐⭐
Advanced reporting with a unified view of all channels and their contribution. Offers fine-grained attribution analysis, including use of control groups and comparisons to benchmarks. Maestra’s reports tie back to business goals (like loyalty ROI, conversion lift) rather than just clicks and opens.
Klaviyo offers a range of analytics dashboards and reports that are quite intuitive. Out of the box, Klaviyo provides:
  • Campaign reports for each email/SMS campaign (showing delivered, open, click rates, conversion rate, and revenue attributed).
  • Flow reports for automated sequences (including metrics for each email/SMS in the flow and overall performance).
  • Revenue attribution model where Klaviyo attributes a certain amount of revenue to an email or text if a user clicks it and purchases within a default window (usually 5 days by default, which you can adjust). It tags orders as coming from Klaviyo flows or campaigns accordingly.
  • Segment analytics, where you can see aggregate behavior of a segment (like how many placed orders, etc., in a timeframe).
  • Custom reports: Klaviyo has a custom report builder where you can drag and drop to create reports on metrics like new subscribers over time, email list growth, etc.
Klaviyo’s attribution model is typically “last touch” for emails (if Klaviyo email was last marketing touch before purchase, it counts that revenue). It deliberately doesn’t claim a sale if someone opened an email but came back organically a week later, for example (unless they clicked through that email). This relatively conservative attribution avoids double-counting with other channels like Google Analytics—though there will always be some differences.
For benchmarking, Klaviyo provides benchmark data (industry averages for open rate, CTR, etc.) that you can compare your account to. That’s helpful for context. Additionally, Klaviyo recently added a feature called Multi-channel attribution, which allows you to see if flows that have multiple channels (email+SMS) how they each contribute, but it’s fairly basic.
Overall, Klaviyo’s reporting is user-friendly, covers core email/SMS metrics well, and gives a decent picture of ROI for those channels. For many SMBs, it’s enough, though it might not delve into multi-touch attribution across outside channels.
Listrak provides comprehensive reporting as well, tailored for retail KPIs. Listrak’s platform includes:
  • Campaign performance dashboards for each channel (email, SMS, etc.), showing sends, opens, clicks, conversion, revenue.
  • Listrak Insight or Customer Insights modules which provide RFM analysis, customer lifecycle metrics (like how many active vs lapsed customers, etc.), and product performance (which products are most purchased from campaigns, etc.).
  • Analytics section that can combine data across campaigns and show overall contribution of Listrak to revenue, sometimes breaking down by channel.
  • Attribution in Listrak is somewhat flexible; by default, it might count revenue if the customer interacted with a Listrak message within a certain time before purchase. Typically, retailers might compare Listrak’s attribution with Google Analytics models for consistency.Listrak reports often highlight total revenue influenced by Listrak campaigns (like what percent of total online revenue had at least one Listrak touch).
  • They also have Integration with Google Analytics UTM tracking, so you can use GA to see how Listrak-driven traffic converts relative to others.
Unique in Listrak, because it has predictive metrics, are reports that show things like “predicted CLV of customers acquired in last month” or “churn risk distribution.” Those are more insights than raw performance, but valuable for strategy.
For attribution across channels, Listrak is still mostly focusing on the channels it controls (email, SMS, push). It might not attribute a Facebook ad’s influence since that’s outside, but it can help you see how emails and texts might contribute alongside other channels by timeline analysis.
Listrak likely offers exportable reports and possibly a way to schedule sending reports to your email.
Clients often praise Listrak’s ROI reports which show how much money each automation series is bringing in (like cart recovery flow generated $X in last quarter, with conversion rate Y%). Such reports justify the cost of Listrak clearly.
Maestra has very advanced reporting. It provides:
  • Dashboards for each major area: business KPIs (overall sales, customer growth), campaign performance (email, SMS, push each with stats), loyalty program performance, etc.
  • It’s able to track campaign results and business goals in one place. That suggests you can create a goal (like increase repeat purchase rate to X%) and monitor it with Maestra’s data.
  • A/B testing and control group analysis in Maestra are highlighted. Maestra allows you to set aside control groups for campaigns (e.g., send a promotion to 90% of the target segment, hold out 10% to receive no promo, then measure uplift). This is a very powerful attribution technique because it can definitively show incremental impact of campaigns.
  • Attribution windows might be configurable. Maestra likely attributes across channels—if an email and an SMS were both sent, it can attribute proportionally or by last touch within its system.
  • Email Health Monitoring: a report that compares your email performance to industry benchmarks.
  • Data export: you can export data in any format anytime, hinting at open access to raw data if needed.
In essence, Maestra provides all the standard channel metrics plus a unified view across channels and advanced analysis tools (like control group testing). It’s aimed at marketing teams that want insights not just from single campaigns but about overall customer journey effectiveness and lifetime value changes.
While Klaviyo and Listrak give you strong channel-level reporting, Maestra aims to give you a more holistic picture: e.g., how all your combined efforts are moving the needle on revenue, retention, and engagement, with attribution that accounts for multiple touches.

Reporting and Attribution Winner: Maestra

Maestra wins in reporting and attribution thanks to its holistic and advanced analytics capabilities. It not only tracks every channel but can also connect the dots between them, giving a true 360° view of marketing performance. With Maestra, you can measure the combined impact of your email, SMS, push, and loyalty efforts on sales and customer retention in one place. Its support for control groups and A/B tests provides a higher level of confidence in attribution—you can definitively see how much lift your campaigns generate beyond what would have happened organically.
Listrak offers very rich reporting as well, especially for understanding customer behavior and revenue from campaigns. It’s a close second, particularly for retailers who want deep insights into purchase patterns and lifecycle metrics. Most mid-size brands find Listrak’s analytics meets their needs, from granular campaign stats up to big-picture customer value tracking.
Klaviyo’s reporting is user-friendly and great for channel-specific analysis, but it doesn’t delve as much into multi-channel attribution or predictive business metrics. It covers the essentials—which for many smaller marketers is exactly what they need—but it’s not as exhaustive as Maestra’s or Listrak’s for enterprise-level decision making.
In summary, if you require robust, cross-channel reporting with strong attribution fidelity, Maestra is the top choice. It will let you prove and improve marketing ROI with a level of analysis sophistication that the others, while good, don’t fully match.

Klaviyo vs Listrak vs Maestra: Customer Support

Even the best platform needs reliable support. We’ll compare the level of customer support and service each vendor provides, as well as any “premium” support options.
Klaviyo
Listrak
Maestra
⭐⭐⭐
Offers reliable email and chat support and an excellent knowledge base/community, but lacks dedicated account managers for most clients. Support is generally reactive. It’s efficient for troubleshooting but you’re expected to handle strategy and complex setup largely on your own or with third-party help.
⭐⭐⭐⭐
Provides a much more hands-on support experience. Most clients get a dedicated rep or team that knows their business. Phone support and even proactive consulting are available, especially at higher plan levels. Occasionally, very small clients might not get as much direct attention, but overall support quality is high.
⭐⭐⭐⭐⭐
Top-tier, white-glove support for every customer, regardless of size. A dedicated success manager works closely with you from day one, effectively becoming part of your team. Support is extremely responsive (within minutes) and proactive in guiding strategy, not just answering questions. This ensures you fully leverage the platform with confidence.
Klaviyo primarily operates on a self-service and scaled support model:
  • Klaviyo offers 24/7 email support for all customers, including those on the free tier (albeit with slower response for free users). Paid customers typically get faster response times.
  • They also have live chat support during business hours (for paying customers). Many users note Klaviyo’s chat support is responsive and helpful for quick questions or troubleshooting.
  • Klaviyo does not usually provide a dedicated account manager unless you are a very large enterprise client. Most users rely on the general support team.
  • However, Klaviyo’s extensive online resources partly compensate: an extensive help center, community forums, and Klaviyo Academy courses help customers find answers quickly on their own.
  • For onboarding, Klaviyo has a customer success team that may reach out to new larger customers to assist with initial setup (especially if migrating from another platform).
  • They also have a large ecosystem of agency partners and consultants. Smaller businesses might use a Klaviyo partner for hands-on help in lieu of direct Klaviyo-managed service.
Listrak is known for a more high-touch service, especially since its client base includes many midmarket retailers who may expect it:
  • Listrak usually assigns a Client Success Manager (CSM) or an Account Manager to each account (particularly for larger ones). This person helps with strategy, regular check-ins, and ensures you’re utilizing the platform features. For smaller clients, they might have a pooled manager.
  • Listrak provides phone support and email support. Unlike many newer SaaS platforms, Listrak still emphasizes the ability to call and talk to a support rep or your account manager when needed.
  • They also have a technical support team for issues, accessible via ticket system or phone.
  • Onboarding with Listrak often involves a dedicated onboarding specialist who will assist in migrating data, setting up initial campaigns, integration with your e-comm platform, etc.
  • Listrak’s support often wins praise for being proactive—e.g., they might reach out if they notice an issue like a drop in deliverability.
  • They also offer training sessions and webinars to ensure your team is up to speed. For enterprise clients, Listrak can sometimes even help execute campaigns if needed (almost like a partial managed service).
Maestra offers support with a “white-glove” approach:
  • Every Maestra client gets a Dedicated Customer Success Manager (CSM) who is highly involved. This CSM acts like an extension of your marketing team, helping plan campaigns, set up complex flows, and providing strategic advice regularly.
  • They meet with you weekly to review performance, suggest optimizations, and assist with any new initiatives.
  • Maestra also provides technical support with very fast response times (under 5-minute response on chat), which is exceptional.
  • From migration to execution, they hold your hand. If you’re coming from another platform, Maestra’s team will do much of the heavy lifting: migrating templates, syncing data, and ensuring campaigns don’t drop off during the switch.
  • They also help with things like roadmap creation (meaning they’ll help you design a marketing plan to leverage Maestra fully, not just react to your asks).
  • Support is available via multiple channels instantly (chat, phone, email, Slack).
  • Because Maestra targets midmarket clients, it includes this high-touch service in the price. They know those clients might not have a large martech staff, so they fill that gap.
  • In short, Maestra’s support is more like a consultant + support hybrid, making sure clients not only solve problems but also proactively use best practices.

Customer Support Winner: Maestra

Maestra takes the lead on customer support by delivering an exceptional, high-touch experience that is virtually like having an in-house marketing expert on call. With dedicated success managers, routine strategy sessions, and rapid-response support, Maestra ensures its clients are never left struggling or wondering what to do next.
Listrak also offers strong support with a personal touch—their inclusion of an account manager and availability of phone support mean most customers feel well-supported. Listrak’s team often helps optimize campaigns and share best practices, which is a big plus. In many cases, Listrak clients develop a long-term relationship with their reps, which speaks to the quality of service.
Klaviyo’s support is efficient and knowledgeable, but it’s more self-serve oriented and scaled. It’s great for those who are comfortable learning and troubleshooting using docs and community forums (with backup from support when needed). However, it doesn’t provide the individualized coaching or strategic input that Maestra and Listrak do. For a business that prefers a do-it-yourself approach, Klaviyo’s model works fine. But for those who want more hands-on guidance, the difference provided by Maestra (and to a slightly lesser extent Listrak) is significant.
In summary, if customer support and success assistance are a priority for you—for example, if you value having experts help drive your marketing success—Maestra offers the most comprehensive support, ensuring you’re never alone in executing your marketing vision. Listrak is a close second, offering a supportive partnership. Klaviyo’s support is reliable for answering questions, but largely you steer the ship with the resources they provide.

Klaviyo vs Listrak vs Maestra: Integration Capabilities

Integration capabilities refer to how well the platform connects with other systems—e-commerce platforms, CRM, helpdesks, other marketing tools, databases, etc. Strong integrations mean easier data flow and a more unified tech stack.
Klaviyo
Listrak
Maestra
⭐⭐⭐⭐⭐
Unmatched breadth of pre-built integrations in the e-commerce marketing space. It connects with virtually any popular tool without coding, and its robust APIs allow endless customization. This makes integrating Klaviyo into your stack extremely easy and flexible.
⭐⭐⭐⭐
Strong integrations with major commerce platforms and key marketing tools. While not as many one-click apps as Klaviyo, Listrak covers the important bases and supports custom integrations through APIs and its team. If something isn’t pre-built, their support can often help bridge the gap, especially for enterprise needs.
⭐⭐⭐⭐⭐
Highly integration-friendly, focusing on quality over quantity. It has ready connectors for core systems and an open API for anything custom. What sets Maestra apart is their willingness to build custom integrations for you as part of their service. This means integration isn’t a barrier—they will ensure Maestra fits seamlessly into your ecosystem, even if that requires bespoke work.
Klaviyo is known for its wide array of pre-built integrations (350+ as per their site), particularly focused on e-commerce ecosystems:
  • It has deep integrations with e-commerce platforms like Shopify (and Shopify Plus), BigCommerce, WooCommerce, Magento, Salesforce Commerce Cloud, etc. These integrations sync customer, order, and product data seamlessly. For example, with Shopify, Klaviyo pulls in customer profiles, purchase history, product catalog, and tracks events like “Added to Cart” or “Started Checkout” automatically.
  • It also integrates with CRM/Customer support tools like Zendesk, HubSpot, and Gorgias, which can send events to Klaviyo or allow Klaviyo to pull in support ticket data for segmentation (like a segment of customers with a recent support issue).
  • There are integrations with subscription management (ReCharge for subscription orders), loyalty/referral apps (Smile.io, ReferralCandy, etc.), review apps (Yotpo, Judge.me), and many other marketing tools. These often come via direct integrations or third-party connectors like Zapier (Klaviyo connects to Zapier too).
API & Customization:
  • Klaviyo provides a robust API and libraries so if a pre-built integration isn’t available, developers can connect virtually any system to Klaviyo by sending data (events, profile properties) to it. Many custom websites have integrated via API.
  • They support data feeds, custom webhooks, and have a well-documented developer portal. This openness is why so many apps integrate with Klaviyo—it’s become a standard in e-comm stacks, so nearly every new app ensures they can push data to Klaviyo (for example, a quiz app might send quiz results into Klaviyo fields for personalization).
  • Many integrations are plug-and-play. For Shopify, it’s as easy as installing the Klaviyo app. For others, some configuration is needed but usually guided.
Listrak historically integrated well with the major e-commerce platforms (particularly Magento and Salesforce Commerce Cloud, and more recently Shopify and BigCommerce). Listrak may not have as many “one-click” app integrations as Klaviyo, but they cover the key systems:
  • E-commerce: Native integrations with Shopify (plus), Magento, SFCC, Oracle ATG, etc. Listrak’s heritage is in big retailers, so they built robust custom integrations with these enterprise platforms. They also have ways to integrate custom platforms via API or flat file.
  • ESP/Marketing tools: Since Listrak itself is a central marketing hub, it integrates with complementing tools like loyalty programs (Extole, Zinrelo, Yotpo Loyalty), UGC platforms (Yotpo reviews, Bazaarvoice), and analytics tools. It likely has fewer small app integrations out-of-the-box than Klaviyo, but it covers necessary ones or has a services team to set them up.
  • API & FTP: Listrak provides APIs for developers to push/pull data. Many clients use nightly FTP batch data feeds to sync inventory levels or offline sales into Listrak for use in campaigns, which Listrak supports.
  • Database integration: Some large clients use Listrak in conjunction with an internal data warehouse or CDP; Listrak can import segments or export engagement data to those.
Pre-built vs Custom Support:
  • Listrak lists more than 25 pre-built integrations in various categories (email capture tools, e-commerce, loyalty, ratings, etc.). Not as many as Klaviyo’s hundreds, but enough for a comprehensive solution for a retailer.
  • If an integration doesn’t exist, Listrak’s team often helps create a custom connector (especially for big clients, they might do a custom integration project).
Maestra, being newer, doesn’t boast hundreds of integrations, but it focuses on integrating the core systems that matter for a unified marketing experience:
  • E-commerce platforms: It integrates with Shopify/Shopify Plus,  Magento/Adobe Commerce, BigCommerce, etc.
  • Data sources: Because Maestra is a unified platform, it has connectors or methods to bring in data from CRMs, POS systems, or other offline and online sources.
  • Marketing/ads: Integrations with ad platforms (Facebook, Google) are covered in Ad Optimization. They likely have built connectors for that.
Custom Integrations & API:
  • Maestra has fewer instant integrations than Klaviyo, but its team offers custom integration support. If Maestra doesn’t natively connect to something, their engineers will help build it
  • Also, they assist in ensuring data flows smoothly. This is important for reliability.
While Maestra covers fewer third-party apps natively than Klaviyo, their white-glove promise extends to integration: they’ll basically make sure Maestra can sit at the center of your ecosystem, even if that means writing new connectors for you.

Integration Capabilities Winner: Tie between Klaviyo and Maestra

For integration capabilities, both Klaviyo and Maestra excel, but in different ways:
  • Klaviyo offers a vast library of out-of-the-box integrations, making it effortless to plug into most e-commerce setups.If you’re using popular apps, chances are Klaviyo already has a connector—just authorize and go. Its APIs also empower those who want to DIY custom links. This breadth and ease make Klaviyo a winner for plug-and-play integration.
  • Maestra takes a more tailored approach—it might not have as many instant integrations (being newer), but it compensates by providing hands-on support to integrate with anything you need. Essentially, if Maestra doesn’t natively connect to something, their team will help make it happen. This level of support effectively guarantees integration capability with any system, which is a huge win for clients with complex or unique setups.
Listrak, while very capable, comes in slightly behind only because its integration catalog isn’t as extensive as Klaviyo’s and it relies on more custom work for less common tools. However, for mid-to-large retailers, Listrak integrates with all the critical systems and its team often assists with custom data flows, so integration is rarely an issue.
In conclusion, if you value a plug-and-play ecosystem with countless pre-built options, Klaviyo is a top choice. If you require a highly customized integration (and perhaps don’t have the dev resources in-house), Maestra ensures you’re covered by doing a lot of that work for you. Both approaches result in excellent integration outcomes—hence, we consider it a tie between Klaviyo and Maestra for integration prowess, with Listrak just a step behind but still very strong in this area.

Klaviyo vs Listrak vs Maestra: Pros & Cons

Klaviyo

Klaviyo Pros
Klaviyo Cons
✅ Easy to use: Intuitive drag-and-drop email editor and flow builder, ideal for quick setup and small teams.
❌ No built-in loyalty: Requires third-party loyalty/referral apps (e.g., Smile.io, ReferralCandy).
✅ Strong email + SMS: Lets you manage both in one place. Pre-built flows (abandoned cart, welcome series, etc.).
❌ Limited on-site personalization: Mainly pop-ups/forms. Deeper personalization (e.g., dynamic site content) requires other tools.
✅ Excellent integrations: +350 pre-built connectors (Shopify, Magento, WooCommerce, reviews apps, loyalty apps, etc.).
❌ No native CDP: Relies on e-commerce data integrations; less comprehensive for unifying data from all offline/online channels.
✅ Scalable pricing: Free tier up to a small subscriber count, pay-as-you-grow model that fits SMB budgets.
❌ Cost grows with list size: As your contacts and sends increase, monthly fees can become significant.
✅ Robust segmentation: Real-time updates based on purchase/activity. Easily build targeted segments.
❌ Primarily self-serve: Dedicated success managers are only for large enterprise accounts; smaller users rely on help docs/forums.

Listrak

Listrak Pros
Listrak Cons
✅ Retail-focused: Strong for mid-sized/enterprise retailers—rich features like predictive analytics, product recommendations, RFM.
❌ No native loyalty/referral: Must integrate a loyalty solution (e.g., Yotpo, Zinrelo, Extole) for points/tier-based programs.
✅ Cross-channel marketing: Email, SMS, web push, direct mail integrations, unified via Journey Hub.
❌ Fewer out-of-box integrations than Klaviyo: Covers major e-comm platforms but fewer “one-click” app connections.
✅ Predictive personalization: AI-driven product recommendations, likelihood-to-purchase segments, advanced segmentation.
❌ Higher price point: Custom-quote model; typically more expensive than basic ESPs (like Klaviyo).
✅ Dedicated account managers: Onboarding, strategy support, phone and email help.
❌ No built-in CDP: Has “unified data” but not as extensive or real-time as a full CDP; offline data integration can be trickier.
✅ Advanced reporting: Strong retail analytics (cart abandonment recovery, product performance, predictive revenue) and RFM analysis.
❌ User interface: Less slick than Klaviyo for quick design/testing. Some features (e.g., certain A/B tests) can be more complex.

Maestra

Maestra Pros
Maestra Cons
✅ All-in-one platform: Combines CDP, email, SMS, push, site personalization, promotions, and loyalty in one system (no need for multiple separate apps).
❌ Higher entry cost: Plans start around $1,990/month; targets midmarket/enterprise budgets rather than very small startups.
✅ Real-time CDP: Consolidates online/offline data into unified profiles, enabling hyper-targeted segmentation and automated flows that react instantly.
❌ Complexity: Because it’s a comprehensive suite, there’s more to learn upfront (though dedicated support helps mitigate this).
✅ Built-in loyalty & referrals: Points, VIP tiers, and referral programs are fully native—no separate loyalty software required.
❌ No built-in UGC/reviews: Can incentivize user-generated content via points but must integrate a separate reviews/UGC tool for moderation.
✅ Omnichannel personalization: Dynamically personalize websites, emails, texts, app notifications, and more from one dashboard.
✅ White-glove support: Dedicated CSM for every client, hands-on onboarding, strategy consulting, and <5min response times on support.
✅ Advanced reporting & attribution: Includes control group testing, unified dashboards for all channels, and multi-touch revenue attribution in real time.

Final Verdict: Klaviyo vs Listrak vs Maestra

Now that we’ve broken down all the categories, how do Klaviyo, Listrak, and Maestra stack up overall? Each platform has its ideal use-case, and the “best” choice depends on your business’s needs and resources.

Klaviyo

Best for: Entrepreneurs or new e-commerce stores seeking an affordable, user-friendly email & SMS solution with lots of integrations.
Klaviyo is an excellent choice if you need a user-friendly platform to execute targeted email and text campaigns and you appreciate a wealth of pre-built integrations. It’s particularly well-suited for Shopify stores and others who want to get advanced marketing automation running quickly without heavy lifting.
Klaviyo’s strengths are its ease of use, vast community and knowledge base, and affordable entry point (including a free tier). If you have a lean team and you’re comfortable with a bit of DIY, Klaviyo gives you enterprise-grade email/SMS capabilities with a nimble, self-service approach.
Keep in mind, you may need to pair it with other tools for loyalty programs or more advanced on-site personalization, and as you scale, the cost will scale with your contact list. But for many small to mid-sized brands, Klaviyo strikes the right balance of power and simplicity.

Listrak

Best for: Mid-sized online retailers looking to leverage advanced cross-channel marketing and predictive personalization to boost retail metrics.
Listrak shines for retail businesses that require more than just basic email—those who want to unify email, SMS, and more with predictive analytics and are willing to invest in a partner-like vendor relationship. If you value having expert support (an account manager) and a platform that’s very retail-focused (with features like predictive product recommendations and RFM segmentation), Listrak is a great option.
It’s ideal for companies on platforms like Magento or Salesforce Commerce Cloud, or larger Shopify Plus stores, which have outgrown basic tools. Listrak’s more complex feature set might require a bit more learning, but their team helps flatten the curve.
Budget-wise, expect a higher price tag than Klaviyo, but also a more concierge service. One consideration: if you need a built-in loyalty program or UGC management, Listrak will rely on integrations for those. Overall, Listrak is a robust, marketer-friendly platform that can drive serious results, especially if you take advantage of the strategic guidance they offer.

Maestra

Best for: Growing midmarket brands with an established marketing team and steady traffic, needing a unified all-in-one platform (CDP, omnichannel, loyalty) with hands-on support to drive customer growth.
Maestra is the best choice once you are serious about orchestrating the entire customer journey across every channel. If your business has the volume and team to utilize advanced capabilities (or conversely, if you have a small team that wants to do big things with hands-on help), Maestra provides a unified platform that can do it all—email, SMS, push, site personalization, loyalty, ads—under one roof.
Its killer differentiator is the white-glove support: a dedicated expert ensures you’re executing at a high level. This makes Maestra almost like an extension of your team. Companies that choose Maestra are often those that have felt the pain of juggling many siloed tools or outgrowing simpler ESPs. They are ready to invest in a solution that not only provides technology but also partnership to drive marketing success.
Keep in mind, Maestra’s cost is higher (it’s a premium service with premium results, aimed at quality over quantity of clients). It doesn’t have a free tier or entry-level plan—you’ll want to be sure you can fully utilize its breadth. But for those who can, Maestra offers enterprise-level marketing capabilities without needing an enterprise-sized internal team, making it a powerful growth engine for the right businesses.
If that sounds like what you need, book a free demo with the Maestra team today and see how Maestra can elevate your e-commerce marketing to the next level!

Final Recommendations

  • Choose Klaviyo if: You want an affordable, user-friendly solution for email & SMS marketing, have a small team that prefers a DIY approach, and prioritize integrations over built-in features.
  • Choose Listrak if: You’re an established retailer needing multi-channel marketing with predictive analytics, personalized recommendations, and dedicated account management.
  • Choose Maestra if: You need an all-in-one marketing platform with omnichannel capabilities, loyalty programs, and advanced personalization, backed by hands-on support to optimize your strategy.
Ultimately, all three platforms are capable; it’s the alignment with your business size, structure, and marketing goals that determines the best fit. A smaller brand might find Klaviyo covers all bases without extra complexity. A larger retailer might need Listrak’s robustness and retail focus. A growth-focused brand with a lean team might leapfrog to Maestra to leverage its all-in-one strengths and hands-on expertise.
Consider what matters most—be it cost, support, specific features, or scalability—and use that as the guiding factor in your decision.