Product personalization
Boost conversions and AOV with recommendations, quizzes, bundles, and dynamic images
Drive cross-sell, upsell, or downsell with AI-powered recommendations
Choose from 14 ready-to-use recommendation engines – from essentials like Bestsellers and Recently Viewed to advanced options like Personalized Post-Purchase Picks. Shoppers always see in-stock, size-matched, and region-specific items
Sync recommendations across all channels for a seamless journey
Serve consistent product picks on your website, app, email, messengers, MMS, RCS, and even in-store at the POS
“Now with Maestra, if you browse a red bikini top, you see the matching bottom – same size, material, and cut. It makes shopping smoother, and we’ve seen a clear lift in conversions.”
Offer value-packed bundles for happier customers and higher AOV
Group complimentary products into ready-made solutions that boost sales. Add clear product info, standout reviews, bonus gifts, and bold saving cues that drive conversions
Guide customers to the right fit
Cure decision fatigue with quizzes that surface the right products fast. Capture preferences along the way to power better targeting across all channels
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Turn your product catalog into dynamic visuals for any channel
Maestra instantly converts your catalog into on-brand images, ready to drop into ads to boost ROAS or into emails and other channels to drive conversion. Each image renders in real time, so prices and promotions are always up to date – no manual upkeep, no waiting on design.
“Just like that – prices synced, ‘Hot Buy’ tags showed up, and even sent emails started refreshing with current info.”
Optimize every recommendation slot
Track how recommendations or bundles impact add-to-cart rate, conversion, and AOV. Run A/B tests and lock in the best performer for each page
Omnichannel flows that adapt in real time
Site & App Personalization
FAQ
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 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.