Built for your e-commerce platform
Help your visitors find the products they like, or the products
they are likely to
buy next, or something you want them to buy. Product recommendations can be
used in a variety of use cases to boost revenue.
Define your strategy
Customized recommendations according to your requirements. May it be to boost engagement, revenue or conversions. Then apply business rules and filters to further fine-tune the recommendations.
Recommend products at any touchpoint
Display high-quality recommendations anywhere in your customers journey, from homepage to shopping cart to order confirmation and beyond.
High performance, low latency
Seamlessly deliver millions of AI powered recommendations with low latency to your visitors.
AI for every merchant
We are happy to help out with any design customization needed for your product recommendations.
Light weight integration
Easy to get started using our pre-built solutions for the major e-commerce platforms, or via custom APIs.
Get started quickly
Use pre-built models to get started quickly or define a custom model to cater for any requirement you may have.
Simple to deploy
Most plugins require no code at all, others may require to copy paste a code snippet to place the recommendations.
Unleash the full power of data
Everything you need to convert, engage, and retain more users.
Return on investment
Exceptional service - the guys at Engage put their customers first, respond in record time, and are willing to make their tool work for your business.
Event data tracking with Engage
Capture granular e-commerce events once and send consistent data across to all of your favorite tools.Tracking Remarketing
Getting started with Engage
This guide will walk you through how to get started with Engage.Get started Article
Engage your customers
Engaging customers online is complex and requires merchants to look beyond chat bots, they may help..Customer Experience Engaging
The importance of Customer Data in E-commerce
Data analytics play a pivotal role in running any online business regardless of the size and scale of operations.Customer data Blog
Get more out of your product recommendations — Part II: Position
This is the second part in our series on Product Recommendations.Product recommendations Personalization Blog
Get more out of your product recommendations — Part I: Set your aim
This is the first part in a series of articles on Product recommendations..Product recommendations Personalization Blog