Overview
Wisepops AI Product Recommendations deliver personalized product suggestions through popups, embeds, and feed notifications. Our advanced machine learning algorithms analyze visitor behavior in real-time to show the right products at the right moment, helping top-performing stores achieve up to 10% revenue lift.
How It Works
Our recommendation engine uses collaborative filtering powered by billions of behavioral data points. The system analyzes visitor interactions, purchase history, and product performance to deliver hyper-personalized suggestions that adapt continuously to user behavior.
Requirements
Platform: Shopify stores only
Plan: Essential Plan required (contact support to upgrade)
Integration: Automatic data sync with your Shopify store
Recommendation Strategies
Choose from six complementary strategies designed for different stages of the customer journey:
Strategy | How It Works | Best Use Case | Recommended Targeting Rules |
Best Sellers | Shows top-performing products based on sales and cart additions (90-day period) | Homepage, category pages, new visitor engagement | Target: New visitors Exclude: Product pages, checkout pages, best seller pages, visitors with active cart |
Trending Products | Highlights currently popular items based on recent activity (7-day period) | Seasonal campaigns, homepage banners, promotional campaigns | Target: Collection pages, new arrivals pages, best seller pages Exclude: Product pages, checkout pages, visitors with items in cart |
Others Also Viewed | Shows products frequently viewed together with current product | Product page cross-selling | Target: Product pages only Exclude: Visitors with items in cart |
Personalized Picks | AI-curated suggestions based on individual browsing and purchase history | Homepage personalization, email re-engagement | Target: Existing customer Exclude: Visitors with items in cart |
Recently Viewed | Smart ranking of session products based on engagement signals | Cart abandonment recovery, browse abandonment | Target: Returning visitors with 3+ products viewed Exclude: Visitors with items in cart, product pages |
Frequently Bought Together | Suggests complementary products based on purchase patterns | Cart upselling, checkout optimization | Target: Visitors with items in cart Exclude: Order confirmation pages |
Formats and availability
You can integrate Wisepops product recommendations in all our onsite formats. Web push notifications are not covered currently.
How to create a product recommendation Popup or Embed
Recommended: You can use templates that have been created especially for Product Recommendations campaigns. We made sure to configure the templates targeting so that they are compatible with the targeting requirements.
If you want to start from scratch, Product Recommendations are available as a block in the popup editor and can be integrated into any of your campaigns.
You can customize all the elements from the product recommendations blocks (text, CTA, image size). In order to control the size of the images, you can customize:
The images' height: click on the product recommendation block, then select "Image" in the top bar, and set the desired height.
The images' width is automatically determined based on the width available in the campaign. You can change the popup width by selecting "Design" in the left menu, then size in the top bar, then adjusting the width.
If each product image has less than 100 pixels in width available, then the product images will automatically switch to a vertical stacking instead of horizontal.
For embeds, you cannot control the width in the editor. Embeds will automatically take all the width available in the website placement you assign to them (see how to create embeds). The Wisepops editor and preview do not reflect the actual embed's width. Contact support@wisepops.com if you struggle to integrate embeds onto your website.
Make sure that you use targeting options in Display Rules that are compatible with the product recommendation strategy. If the campaign is supposed to appear while no product recommendation is available, then the campaign will not display at all.
| Display rules requirement |
Best Sellers | No targeting requirement. Best Sellers product recommendations are available on all pages and at any point of the visitor journey. |
Recently Viewed | At least 3 products viewed by the visitor. |
Frequently bought together | Only available if there is at least one item in the cart. |
Others also viewed | Only available on product pages |
Personalized picks | Available at any point of the visitor journey however the recommendations will not be personalized until the visitor viewed at least 3 products |
How to create a product recommendation Feed Notification
Product Recommendations Feed Notifications are available in the Feed template gallery and are tagged with an "AI" badge.
Excluding products from the recommendations
If you want to make sure that some products are never recommended, please follow this guide.
Choosing recommendations from a set of products
If you want to force your recommendations to be chosen from a set of products, please follow this guide.
More details on how our AI works
Except Best Sellers, our algorithms utilize collaborative item filtering that matches the visitor with other past similar visitor journeys. In the future, we will add other types of algorithms that consider product characteristics. For now our algorithms utilize the following signals:
Engagement signals
Add to carts
Past purchases
Number of repeat visits to product pages
Interaction depth (clicks, scrolls, etc.)
Recency of visits
Product signals
Historical revenue performance
Stock levels
Product freshness
Our algorithm continuously learns and adjusts recommendations based on these signals, ensuring visitors see products they're most likely to purchase.
Popups/embeds not displaying if not enough product recommendations are available
The way our algorithm currently works is that it returns the 1000 best product recommendations based on your selected recommendation strategy. Then it will take your exclusion/inclusion rules and out-of-stock. The popup/embed will only display if there are enough product recommendations available to populate your campaign based on your configured number of product recommendations to display.
For example, if your campaign is configured to display 4 products, but only 2 valid recommendations remain after filtering, the campaign will not display.
This situation can occur in several cases:
At the beginning of a trial, while Wisepops is still learning from your store data
When visitors have not generated enough behavioral signals yet
When targeting rules, exclusions, or stock limitations reduce the number of eligible products
Fallback to Shopify recommendations
To prevent campaigns from not displaying in these situations, you can enable a fallback to Shopify product recommendations. When this option is enabled, your popup or embed will still display even if Wisepops recommendations are not available. In that case, Shopify’s default product recommendations will be used temporarily. Once Wisepops recommendations become available, they will automatically replace the Shopify recommendations.
To enable this option:
Select the Product Recommendation block in the editor
Enable “Fallback to Shopify recommendations when Wisepops product recommendations are not available”
Revenue tracking
We use strict attribution to measure real impact:
Revenue is only attributed when customers purchase products they've clicked in the wishlist
Attribution window matches your account settings
Detailed analytics show engagement and conversion metrics
Smart features
automatic updates: Recommendations refresh with each visit
stock awareness: Out-of-stock items are automatically removed
dynamic stickers/badges: Show "New Arrival" (< 30 days) and "Low Stock" (< 10 items) alerts,
manual control: Exclude specific products if needed
Coming soon
Product similarity algorithms
Support for more platforms (Magento, GTM)
Need help? Contact us at support@wisepops.com