Recommendations
Configure product and content recommendation widgets: algorithms, filters, fallbacks, managed cross-sell, and the JSON API. Personalized recommendations that learn from visitor behavior and your catalog.
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Content Recommendations Wizard
Build a content recommendation widget from catalog to live campaign — the four content interaction types, ten algorithms, and the content-specific templates.
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Interests for Recommendations
Interests apply to all types of websites, ranging from e-commerce and content curation platforms to news sites and educational portals.
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Content Recommendation Algorithm types
Personyze's content recommendation engine provides a variety of algorithms for different needs, throughout your site. Here is a list of the most commonly used algorithms which are included in our…
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Product Recommendation Algorithm Types
Personyze's product recommendation engine provides a variety of algorithms for different needs, throughout your site. Here is a list of the most commonly used algorithms which are included in our…
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Auto-Apply Coupon Code at Checkout
Automatically insert a coupon code at checkout for visitors who saw a Personyze offer — using either an HTML placeholder swap or a JavaScript action. Eliminates the friction of remembering…
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Open-Time Email Recommendations — Embed in Any ESP
Add live, personalized product recommendations to any email platform — Mailchimp, Klaviyo, HubSpot, ActiveCampaign, Brevo, Constant Contact. Each recipient sees products picked for them at the moment they open the…
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Product Recommendations Wizard
Build a product recommendation widget from catalog to live campaign — including the interaction tracking that decides whether the recommendations are any good.
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Product Recommendation Algorithms
" Most Viewed products (crowd data), based on visitor's most recent interest (individual interest data)."