Question 1

What product recommendation algorithms are available in Maestra?

Accepted Answer

Maestra offers a wide range of ready-to-use recommendation engines:
Recently browsed products
Products similar to recently browsed products
Bestsellers
Category bestsellers
Bestsellers from previously viewed categories
Post-purchase cross-sell
Custom post-purchase recommendations
Personal recommendations
Event-based personal recommendations
Related products
Often purchased with Items in product list
Similar products
Similar products to product list recommendations
You can also create custom recommendations rules tailored to your business needs.

Question 2

Are Maestra’s product recommendations AI-driven or rule-based?

Accepted Answer

They are AI-driven and work right out of the box — simply pick the right engine for each placement.
If you want more control, you can add business rules to fine-tune product matching by color, price, category, collection, or any other product attributes in your system.

Question 3

Where can I show product recommendations?

Accepted Answer

Anywhere your customers shop or engage:
On your website
In your mobile app
Across communications (email, RCS, MMS, push notifications, messengers, etc.)
In offline stores (self-checkout, POS terminals)
Combine as many algorithms as you want in any channel. Recommendations stay aligned across them, creating a connected and effortless journey.

Question 4

What kind of customer data can I use for product personalization?

Accepted Answer

You can tap into any data from customer profiles within Maestra CDP:
Basic profile info (gender, age, etc.)
Browsing behavior and product interactions
Purchase history (online and offline)
Quiz/survey responses (when voluntarily provided)
Loyalty & referral status (tier, points, referrals, etc.)
Session and device data (location, language, app version, etc.)
Any custom attributes you collect in the CDP

Question 5

Do I need to maintain the recommendations?

Accepted Answer

No, Maestra takes care of it. The system automatically shows in-stock, size-matched, region-specific items, thanks to real-time data sync with your product feed.
You can always improve performance by analyzing reports, running A/B tests, and adjusting business rules to get better recommendations for each user at every touchpoint.

Question 6

What’s the ideal length for a product-picking quiz?

Accepted Answer

About 4-5 questions works best. Add a progress bar so people know how much is left.
At the results step, collect emails from new visitors so you can send them their picks and keep nurturing them.

Question 7

How can we use quiz results for personalization?

Accepted Answer

Quiz answers can be used to:
Generate immediate product recommendations
Personalize future communication across all channels
Build smarter customer segments
Optimize your ads targeting

Question 8

Can we A/B test different quiz approaches?

Accepted Answer

Yes, everything about your quiz can be tested, including:
Length and question order
Design and site placement
Targeting and timing
Recommendation logic based on responses
Incentives and urgency cues
Post-quiz CTAs

Question 9

What are dynamic product cards?

Accepted Answer

Dynamic product cards are branded visuals generated in real time from your product feed. Based on your product data and design template, Maestra creates polished cards with custom backgrounds, promotional badges, pricing callouts, and brand elements.

Question 10

Where can I use dynamic product cards?

Accepted Answer

Dynamic product cards can work across channels — from your website and app to RCS and messengers. Most often, they are used in:
Ads (Meta, Google Shopping, TikTok, etc.) — to boost conversions and ROAS with bold visuals that stand out, highlight current offers, and showcase unique features.
Email — to increase clicks with always up-to-date product info (even when prices change after send) and layouts that render perfectly across all email clients.

Question 11

What do I need to start creating dynamic product cards?

Accepted Answer

Integrate your product feed with Maestra, create a card template in Figma using our pre-built options or your own design, and your dedicated CSM will handle the rest.

Question 12

How do you measure the effectiveness of product personalization?

Accepted Answer

Maestra’s reporting shows you the overall business impact of product personalization:
Assisted sales and revenue
Increase in average order value and items per order
Conversion rate improvements
For individual elements like recommendations widgets and product picking quizzes, you can track impressions, click-through rates, and conversions in real time.
Control group tests let you measure incremental impact of the entire personalization strategy, specific groups of elements, or individual components.

Question 13

Does Maestra handle the entire migration process?

Accepted Answer

Yes! Our team manages your whole migration — at no extra cost. Your dedicated Customer Success Manager will guide the process from start to finish, including:
Moving data from your current tools
Setting up integrations with your tech stack
Rebuilding flows, automations, and campaigns
Keeping your current platforms running without interruption
No need to allocate internal resources — we’ll take care of everything, making the switch seamless and efficient.

Question 14

Does Maestra handle the entire migration process?

Accepted Answer

Yes! Our team manages your whole migration — at no extra cost. Your dedicated Customer Success Manager will guide the process from start to finish, including:
Moving data from your current tools
Setting up integrations with your tech stack
Rebuilding flows, automations, and campaigns
Keeping your current platforms running without interruption
No need to allocate internal resources — we’ll take care of everything, making the switch seamless and efficient.

Question 15

How long does it take to migrate to Maestra?

Accepted Answer

It depends on your setup, but here’s a general idea:
Standard migrations: 2–4 weeks
Complex migrations: 4–6 weeks
Full implementation including IP warming: 6–8 weeks
Need it done faster? Just ask — we can move quickly to meet your deadlines. And don’t worry: billing only starts once your migration is complete, so there’s no risk.

Question 16

Which platforms does Maestra connect with?

Accepted Answer

Maestra has 150+ ready-to-go integrations, including:
E-commerce: Shopify (one-click setup), BigCommerce, WooCommerce, Magento, Salesforce Commerce Cloud
Marketing & Analytics: HubSpot, Google Analytics, Klaviyo, Attentive, Yotpo
MediMeta, Google
Customer Support: Zendesk, Gorgias
Need something more tailored? We’ll build tailored API integrations at no extra cost and no dev time on your side required.

Question 17

Is Maestra a reliable platform?

Accepted Answer

Yes — Maestra has been around for over a decade and powers customer data and lifecycle marketing for global brands like: Gap, Under Armour, Quiksilver, L’Oréal, UGG, JBL, Nespresso, Crocs, Birkenstock, T-Fal, Miele, Panasonic, and more.
A few facts:
Our average customer stays with us over five years.
We offer 150+ native integrations.
We continuously update the platform to stay ahead of your needs.
Maestra is built for scale, stability, innovation, and long-term growth.

Question 18

Is Maestra scalable? Can it handle large databases and high-traffic websites?

Accepted Answer

Yes — it’s built for scale. Whether you’re a small team or a global brand, Maestra can handle high volumes of data and traffic with ease. Here’s how:
Trusted by top brands like L’Oréal, Under Armour, Crocs, and Gap
Built to perform — loads in milliseconds and powers real-time personalization at scale
Proven range — works just as well for 30,000 profiles as it does for 65 million
Robust data management: real-time customer profiles, 150+ integrations, and seamless data syncing
Scalable support: our team works closely with you to grow without growing pains

Question 19

How can we measure the success of Maestra’s implementation?

Accepted Answer

Clients usually start seeing results fast. Some of the most common wins include:
5–15% increases in incremental revenue
5–15% boost in website conversion rates
Up to 40% growth in average order value
Up to 25 hours saved each month on manual tasks
ROI of 20x or more — often within just a few months
Stronger engagement: email open and click rates up to 50% higher
Lower cost per order — down as much as 44%
Up to 75% savings on marketing tools by consolidating into one platform

Product personalization

Drive cross‑sell, upsell, or downsell with AI‑powered recommendations

Sync recommendations across
all channels for a seamless journey

Offer value‑packed bundles for happier
customers and higher AOV

Guide customers to the right fit

Turn your product catalog into
dynamic visuals for any channel

Optimize every recommendation slot

Explore more: turning customer data into personalized journeys

Our love language? Results

Recognized by industry

Easy integration and migration

Your CSM handles all integration setups. You focus on strategy

Ready-to-use integrations with major platforms and support for custom needs via API and SDK

Reliability and security

Consistent performance – even under the demands of Black Friday

Upholding international standards to protect customer data

FAQ

Still not sure if Maestra is right for you?