Product personalization

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.

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.

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.

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

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.

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.

Quiz answers can be used to:

• Generate immediate product recommendations

• Personalize future communication across all channels

• Build smarter customer segments

• Optimize your ads targeting

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

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.

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.

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.

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.

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.

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.

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.

Maestra has 150+ ready-to-go integrations, including:

• E-commerce: Shopify (one-click setup), 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.

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.

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

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