Maestra

Maestra is an all-in-one personalization platform with 14 AI recommendation algorithms that cover the full shopping journey — from bestsellers for new visitors to personalized post-purchase picks that drive repeat buys. Unlike standalone recommendation tools, these algorithms pull from a real-time CDP, so every suggestion reflects the customer's complete profile: browsing history, purchases, email engagement, loyalty status, and more. Recommendations update instantly with every click and cart change, so the storefront adapts as the customer shops.

All Maestra’s algorithms work out of the box, and you can layer business rules on top to fine-tune matching by color, price, category, or any other product attribute. The platform also supports bundles and product discovery quizzes — short question flows that recommend personalized picks and store answers in the CDP, making every next interaction smarter.

Recommendations work across the entire site — including Shopify Checkout and the post-checkout page — and extend into email, RCS, push, and other messaging channels. Dynamic product cards go further: Maestra auto-generates branded visuals from your product feed — with promo badges, pricing, and custom design — for ads, emails, and messengers. Prices and availability stay current even after sending.

Maestra tracks direct and assisted revenue per widget, so you can see which placements actually drive sales and run A/B tests to measure incremental impact.

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Every Maestra account includes a dedicated CSM at no extra cost. Your CSM configures recommendation logic, tests placements, and optimizes performance on an ongoing basis.

Key Features:

• Recommendations across site, email, SMS/MMS/RCS, push, messengers and other channels — all powered by the same real-time CDP
• 14 AI-driven algorithms — similar-to-viewed, frequently bought together, personalized event-based picks, and more
• Flexible business rules to fine-tune product matching by any attribute
• Embedded recommendation blocks and bundles that adapt to visitor behavior in real time
• Product discovery quizzes to guide shoppers towards personalized recommendations 
• Dynamic product cards — branded visuals generated from your product feed for ads, email, and messengers
• A/B testing to measure incremental revenue
• Widget-level performance tracking with direct and assisted revenue attribution
• Built-in loyalty engine (points, tiers, referrals) connected directly to recommendation flows
• Dedicated CSM for setup, recommendation strategy, and ongoing optimization

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