Commerce Marketing

Marketing built for commerce, powered by AI

Manago AI is designed around commerce at every layer, from product data and purchase behaviour to revenue journeys, recommendations, and AI that helps online stores sell more.

AI predictive analytics uses historical data to predict who is most likely to buy, helping you focus on the right customers and grow revenue.
Segmentation builder in Manago AI with filters for purchase value, last website visit, location, and demographics
Unified customer profile showing email, location, purchase history, and key customer attributes in Manago AI.

Purchase history, RFM, product interests, and predictive scores sit on every customer profile, so your marketing runs on what people actually buy.

Abandoned cart, back-in-stock, replenishment, cross-sell, reactivation, and the journeys that drive store revenue are built in, not built from scratch.

Use product recommendations, social proof, and a personal shopping inbox to turn your storefront into a channel that sells.

Commerce workflows that turn intent into revenue

Built around how online stores sell

  • Trigger recovery from cart abandonment or product browsing, even for anonymous visitors.

  • Personalise each reminder with the exact products the customer looked at.

  • Recover revenue across channels from one automated journey.

Make every buying moment count

Every stage of the journey carries a revenue signal. Manago AI reads it in real time, helping more shoppers buy, add more, or come back.

Convert more of your traffic

Convert more of your traffic

Make every visit work harder with personalised on-site experiences that help more shoppers decide to buy.

Grow every order

Grow every order

Make it easier for customers to add more, with cross-sell and upsell recommendations that feel relevant, not random.

Keep customers buying

Keep customers buying

Bring customers back at the right time with replenishment, reactivation and loyalty journeys that grow revenue.

Commerce data that tells you when to act

Run marketing with a clearer view of what customers want, when they are ready to act, and which moments are most likely to drive revenue.

Commerce Data & RFM Segmentation

  • Build segments on purchase history, RFM, product interests, and loyalty status.

  • Keep audiences current as customers buy and browse.

  • Use the same segments across email, on-site, ads, and automation.

Commerce Data & RFM Segmentation

Purchase & Churn Prediction

  • See next-purchase probability and churn risk on every profile.

  • Use predictive scores as triggers and filters inside journeys.

  • Act before revenue is at risk, customer by customer.

Purchase & Churn Prediction

AI Product Recommendations

  • Recommend products from behaviour, purchase history, and visual similarity.

  • Run recommendations across email, web, pop-ups, and push.

  • Choose from 100+ recommendation scenarios.

AI Product Recommendations

eCommerce Dashboards

  • Track sales, revenue attribution, and campaign performance in one place.

  • See which audiences, channels, and journeys drive results.

  • Align dashboards to your store's KPIs.

eCommerce Dashboards

Integrations & Product Catalogue

  • Plug-in integrations for Shopify, Magento, PrestaShop, and more.

  • Sync your product catalogue to power recommendations and alerts.

  • Connect ERP and custom systems through APIs.

Integrations & Product Catalogue

Commerce Marketing FAQs

Is Manago AI built specifically for eCommerce?

Yes. The data model, features, integrations, and AI are designed around how stores sell — purchase history, RFM, product catalogues, recommendations, and commerce journeys are part of the core platform, not add-ons.

Which commerce journeys can I run out of the box?

Abandoned cart and browse recovery, back-in-stock and price drop alerts, replenishment, cross-sell and upsell, customer reactivation, and loyalty engagement — all ready to launch from templates and triggered by live customer behaviour.

How quickly can I launch on-site personalisation?

Launch in days using no-code templates for product recommendations, pop-ups, and on-site messaging. Connect your store data and start personalising based on real-time visitor behaviour immediately.

Do I need developers to set this up?

No. You can build on-site experiences including recommendation frames, exit-intent pop-ups, and social proof widgets using no-code tools. A simple tracking script is all it takes to connect your eCommerce store.

Can I control or override AI recommendations?

 Yes. Use AI to automate recommendations and targeting, or define your own rules, segments, and product selection logic for full control over every on-site experience.

How do these tools impact conversion and revenue?

On-site personalisation increases conversion rates and average order value by surfacing relevant product recommendations, upsell offers, and urgency triggers at the moments that matter most: browsing, cart, and exit.

Will this work with my eCommerce platform and data?

Yes. Connect your eCommerce platform, customer data, and product catalogue to power real-time personalisation, segmentation, and on-site conversion tools. See our full integrations list or contact us about your specific setup.

All together. Better.

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