Crossing Minds Session Based Recommendation
Creating magic for a brand-new visitor.
First-time, unknown, and anonymous visitors represent a huge part of your audience. But without access to historical data for these crucial customers, how can you predict their wants and needs quickly enough to keep them engaged?
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with Crossing Minds.
+96%
Average Increase in Sales
+120%
Increase in CTR
+697%
Top Sales Increase
13
SDKs and Integrations
Predicting a customer’s wants without their user history.
First-time, unknown, and anonymous visitors represent a huge part of your audience. But without access to historical data for these crucial customers, how can you predict their wants and needs quickly enough to keep them engaged or convince them to purchase or sign up? Most visitors are anonymous, unknown, or first-time, and you must engage them quickly.
68%
Site visitors are first-time customers
98%
Site visitors are anonymous or unknown
15s
Time required to engage customer before they go to another site
Changing the cold-start game forever.
We offer you the industry’s only viable answer to the “cold start” problem: a solution for creating personalized recommendations using only in-session live behavior. After just a few clicks, our proprietary algorithms show your customers items they’re most likely to purchase—including your newest products—converting shoppers into buyers and scrollers into users.
Because our highly efficient model can index product data within hours of being added to your site, even your newest items can be recommended to relevant visitors.
With our API integrated into your site, you can:
Using session-based data to increase first-time sales.
We build and use tools such as deep content extraction, semantic graph embedding, and other machine learning algorithms to analyze the products on your site and develop a unique encoding, or embedding, for each of your items. We also use deep collaborative filtering to understand your customers’ unique tastes and create user embeddings for them on the fly (in as little as a few milliseconds).
By combining all those methods we can predict with high accuracy which items a first-time customer will buy using only session-based data.
Recommending items you’ve just added.
Our model also tackles the other cold-start problem on your site—enabling recommendations for newly added products that no user has interacted with yet. Our deep content extraction algorithm is able to understand the fundamental nature of your items by automatically extracting information and text from photos, descriptions, or reviews.
By finding connections with existing products on your site, our API can make new items ready for recommendation within hours of being added.
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Let's get started. Just one step and you'll be able to:
Tell us a bit about yourself
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