Recommendations

Generate revenue with product recommendations on every channel

Help every customer choose the right product based on their behaviour, interests, and purchase history. Most tools stop at one channel. Manago AI builds recommendations into full automated follow-ups.

Manago AI Recommendation Architect showing AI-powered recommendation scenarios and visually similar product suggestions based on customer behaviour
Manago AI product recommendations displayed across email campaigns, website frames, pop-ups, and web push notifications at various customer touchpoints
Manago AI dynamic recommendation frames showing abandoned cart, cross-sell, product visit, and back-in-stock recommendation scenarios

Build recommendation strategies that are entirely yours: mix any customer behaviours with any product attributes, or let AI recommend which products will work best for each customer.

Deliver personalised recommendations across email, website frames, pop-ups, landing pages, and push notifications. Keep product discovery relevant at every touchpoint throughout the customer journey.

Build recommendation scenarios tailored to your campaign needs with intuitive, flexible configuration.

Show every customer products worth buying

Use ready-made strategies, rules, and AI to recommend products across journeys.

  • Choose from a rich library of ready-made strategies: abandoned cart, cross-sell, upsell, recently viewed, bestsellers, discovery, and more, and use whichever fits the need.

  • Launch them across website, email, web push, and more

  • Adapt any template to your business or a specific campaign when you need to.

Every recommendation working harder for your business

When every product recommendation is relevant to the person seeing it, customers add more, convert faster, and your team gains the insights to make smarter merchandising decisions.

Increased average order value

Increased average order value

Customers rarely buy just one thing. Manago AI surfaces personalised cross-sell and upsell recommendations based on customer data to encourage additional purchases at exactly the right moment in the journey.

Higher conversions & click-through rate

Higher conversions & click-through rate

When a recommendation feels relevant, customers click. Manago AI makes sure every product shown across every channel earns that click, so engagement goes up and so do conversions.

Smarter merchandising decisions

Smarter merchandising decisions

Your recommendation data knows what customers want before your team does. Manago AI turns that into clear, actionable insight. Every product and merchandising decision backed by real customer behaviour, not assumptions.

Product recommendations across every channel

Keep product suggestions consistent, visible, and useful wherever customers interact with your brand.

Omnichannel Recommendation Activation

  • Activate recommendations across email, web, pop-ups, landing pages, and push.

  • Keep product discovery consistent across the full journey.

  • Improve engagement and conversions with recommendations at every touchpoint.

Omnichannel Recommendation Activation

Backup Recommendation Scenarios

  • Automatically apply fallback strategies when primary recommendation logic finds insufficient matches.

  • Switch to secondary or tertiary logic to maintain uninterrupted product discovery.

  • Always show useful products across all scenarios.

Backup Recommendation Scenarios

Recommendation Analytics & Performance Tracking

  • Track views, clicks, transactions, and revenue by placement.

  • See which recommendations drive engagement and sales.

  • Use performance insights to improve strategy and merchandising.

Recommendation Analytics & Performance Tracking

AI Product Recommendations FAQs

Where can recommendations be displayed?

Manago AI activates product recommendations across email campaigns, website recommendation frames, pop-ups, landing pages, and web push notifications — connected product discovery experiences are created across every customer touchpoint throughout the journey.

What recommendation scenarios does Manago AI support?

Manago AI supports 100+ recommendation possibilities through flexible logic, advanced filtering, and "replace with similar product" strategies. Scenarios include abandoned cart recovery, cross-sell, upsell, recently viewed products, wishlisted items, back-in-stock alerts, price drops, frequently purchased together, and personalised discovery — all customisable by product attributes, categories, price ranges, and customer interests.

Can recommendations be personalised for anonymous visitors?

Yes. Manago AI displays personalised recommendation frames for anonymous visitors based on their real-time browsing behaviour and website interactions before they become monitored contacts. Once a visitor identifies themselves, their prior behavioural data connects to their customer profile automatically.

Does Manago AI provide recommendation analytics?

Yes. Manago AI tracks recommendation performance including clicks, views, transactions, and generated sales per frame and strategy. Teams can identify which recommendation scenarios and products drive the highest engagement and conversion, and use those insights to refine product strategy and merchandising decisions.

What data does Manago AI use to generate product recommendations?

Manago AI combines a product feed with customer behavioural and transactional data collected within the platform — including product views, purchases, wishlist activity, cart behaviour, and engagement history stored in each customer's CDP profile. This data powers both AI-driven and behaviour-based recommendation strategies across every channel and customer journey.

What happens if there are not enough products to fill a recommendation frame?

Manago AI's backup recommendation scenarios automatically switch to a secondary or tertiary recommendation strategy when the primary logic does not find enough matching products. Recommendation frames always display relevant products — product discovery never stops, regardless of catalogue size or inventory availability.

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