Recommendations
Product and content recommendations end to end — algorithms, feeds, filters, wizards, widgets and JSON delivery.
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Setting Filters On Recommendations
Filter the pool of products or content that recommendation algorithms draw from — by category, price range, stock status, brand, or any custom attribute — for sharper, more relevant recommendations.
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Setting Recommendation Fallbacks
Configure fallback algorithms on Personyze recommendations so visitors with no behavioral data — new subscribers, anonymous traffic — never see empty or random recommendations.
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Reviewing the Data Behind Recommendations
Personyze recommendations are not only powerful in what they can output to users to increase engagement and revenue, but also in the data you can derive from them, to learn…
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Recommendations as JSON — Where to Start
While you don't need to do any coding to implement Personyze recommendations across your site and emails, some clients may wish to use their own display method from their CMS,…
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Buy Together Discount for eCommerce Recommendations
Build cross-selling bundles where shoppers see a discount when they add specific complementary products to the cart together — driving higher AOV through smart bundling.
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Uploading Past/Offline Transactions for Product Recommendations
Beyond the online transaction data that Personyze can be set to track in real-time, you also have the option to integrate external data about your past or offline transactions into…
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Recommendations Outside Your Site: Apps, JSON & Email — Where to Start
This wizard guides you through the process of using the Get Code for inserting Personyze recommendations into Third-Party applications, such as mobile apps. This code is to be inserted into…
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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…