A Concentration of AI for Your E-Marketing Strategy
Our Predictive Recommendations feature is self-learning and allows for the generation of products dedicated to increasing your conversions, as well as your average basket.
These are generated based on the profile, purchase history and browsing history of each of your prospects and customers.
Our algorithm is specially designed to unearth your future best-sellers thanks to AI.
The idea? To intelligently promote your products and give them a chance to convert.

What our customers think of ShopiMind
« With Shopimind, we found our ideal partner for our newsletters and automated scenarios. Their attentive support and solutions have undoubtedly contributed to our growth »
« After a benchmark, Shopimind is the solution that allows us to meet a large part of our needs with little technical implementation. The solution helps me to offer promotions at the right time and to improve my turnover »
« We have been using ShopiMind for several years and we are very satisfied with it for both newsletters and marketing automation, their solution is efficient. The team is attentive and available, we recommend »

Combine Product Lists & Multi-Channel
Our product recommendation engines can be used within your automated scenarios, but also in your campaigns.
They are also easily integrable and blend perfectly into the content of your e-shop.
They can be present across multiple channels: Emails, Smart content on site but also when creating your Pop-ins.
Product lists tailored to all your e-marketing objectives
Product lists "New Arrivals", "Best Sellers ", "Reminder of Basket Products", more than a dozen lists are available to meet your e-marketing needs and help you build a high-performing purchase funnel.

Easily identify the most performing product lists
Through precise identification of your best sellers, gain accuracy in understanding your customers' expectations.
For each of the product recommendations implemented within your automated scenarios & campaigns, benefit from a detailed analysis of the most: displayed, consulted, clicked and of course purchased products.