Increase your notification effectiveness with product & content recommendations
Messages using Aampe’s Product Recommender
outperform standard lifecycle messages by over 250%.
At Fy! we have a huge store of great content that we know our shoppers love. Aampe gives us a super smart way to get this content in front of users at the time they want it the most. The impact and ROI has been excellent.
Richard Hirson
Head of Marketing
Messages with product or content recommendations perform better
Develop local datasets or directly connect your CMS. Aampe uses liquid templating and a custom messaging-optimized recommender engine to seamlessly connect your users to all of the rich products and content in your app with highly targeted and personalized messaging across all of your messaging channels.
Click below to see how to enable product or content recommendations in your messages in under five minutes.
Content recommendations instantly improve the performance of standard lifecycle messaging
MORE CLICKS
BOOST IN ENGAGEMENT
MORE ADD-TO-CART EVENTS
INCREASE IN
REVENUE
Why Aampe’s recommender is different
Engage your users with your most high-converting products and content
Most recommender systems are data-heavy and require extensive engineering support to create and maintain. Our recommender system has been specifically designed to be lightweight & scalable.
Aampe’s recommender can work with all types of content and catalogues of all sizes, as it determines recommendations based on consumption sequences and focuses on the products and content that leads to conversions, not just views.
Content that works with our recommender system
eCommerce and
Transactional Apps
Load your entire product catalogue into Aampe, and our recommender will insert high-converting product recommendations right into your outbound messaging.
Subscription Apps
Hit new customer engagement highs by incorporating your blogs, articles, lessons, workouts, videos, features, and all of the other valuable content you’ve created directly into your customer messaging.
How to integrate with Aampe’s Recommender System
Upload a CSV file or feed your products or content into Aampe via a data aggregator service or cloud bucket. We can ingest information such as: item_id, item_name, item_price, item_inventory, item_DeepLink, and other catalog properties.
Have any questions?
integration support
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Integrate Aampe's recommender today and start sending better messaging tomorrow
