Product RecommenderDeliver Product Recommendations that Converts
Why we convert better? Because we add social proofs into recommendations to let visitors know why products are recommended.
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Powering ecommerce marketing for brands you love
Meta Labels
The number one differentiation is that our product recommendations comes with an option to display meta labels. Meta labels like 25% of customers bought this together serves as social proofs to convince customers WHY they should add the product to cart. Below are some examples.
Frequently Bought Together - 25% of customers bought this together
Also Bought - 7.6X more likely to buy
Selling Out Soon - 3 units left
New Arrivals - Added 5 hours ago
Recently Sold - Last Sold 3 hours ago
Recently Viewed - Last Viewed 5 mins ago
14 Types of Product Recommendations
Gain access to our rich library of product recommendations. With a single subscription, you gain instant access to over 14 product recommendation logics for all product recommendations use cases. Each personalized recommendations can be easily set up in a plug-and-play manner.
List of Product Recommendation Types
Frequently Bought Together
Use frequently bought together to upsell commonly bought together products. Implemented with association rules.
Also Bought
Also known as "Customers Who Bought This Also Bought". Use this to cross-sell other products bought by customers. This algorithm looks at purchase history of customers who've purchased a given product. Then recommend other products based on their purchase history. Results will be similar to "Frequently Bought Together" if most of your customers are one-time purchasers.
Best Selling
Recommend best selling products by revenue. Use lookback days to get best selling products within a time period. Or filter by tags to get best selling products from a category.
Recently Viewed
Display recently viewed products based on browsing history.
Handpicked Items
Manually select products for recommendations. You can use this for various use cases like "Featured Items", "Recommended for Christmas", "Editors Favorites", "Staff Picks Under $20".
Similar Items
Recommend similar products based on textual attributes like title, description, keywords. The pros of this algorithm is that it does not require any past purchase data (aka cold start problem). Use this as fallback for newly added products that does not have sufficient order history to generate recommendations with other logics. Implemented with tf-idf.
Trending
Recommend trending products. Uses number of units sold to determine trending products. More recent sales will hold greater weightage.
Selling Fast
Recommend products that are selling fast based on the number of units sold. Unlike trending, selling fast allows you to display the number of product units sold during period. Use trending if you do not wish to display this stat publicly.
Selling Out Soon
Recommend products that are low in stock. Display selling out soon to induce FOMO and get users to make quick purchase.
New Arrivals
Recommend newly arrived products. Place new arrivals in your home page to drive that initial boost for new products.
Discounted Items
Recommend discounted items. Use discounted items to capture user attention and increase the time they spent at your store.
Top Rated
Recommend top rated products. Add filter to exclude products with low number of reviews to make recommendations more compelling. The algorithm used is bayesian average, similar to the one used by imdb.com where a 4.8 rated product with 100 reviews would be ranked higher than a 5.0 rated product with 1 review.
Recently Sold
Recommend recently sold products. Use recently sold products as an alternative for trending products.
Recently Reviewed
Recommend recently reviewed products. Use recently reviewed products as an alternative for trending products.
Other Key Features
Style Editor
Customize product recommendations widget according to your store design.
Widget Placement Tool
Our built-in placement tool allows you to install recommendations widget with zero code modifications.
Filtering
Use filters to exclude products based on rating, num reviews, inventory quantity, tags, etc.
Revenue Tracking
Identify assisted revenue generated from product recommendations.
Analytics
View analytics for each recommender to identify top-performing product recommendations.
Product Recommender Pricing
Basic
$14.90/mo
Unlimited pageviews.
Over $1m
Recommender assisted revenue generated for our merchants in 2021.
$400k
Recommender assisted revenue generated by our top merchant in 2021.
$23,000
Average recommender assisted revenue generated per merchant in 2021.
14
Types of product recommendations you can use.
Grow store revenue with minimal work.
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