Recommendations
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Mobile App Product Recommendations Integration Guide
This guide explains how to implement Personyze Product Recommendations inside Android and iOS mobile apps using the official Personyze SDKs.
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Content Recommendations via JSON Feed
The Content Recommendations via JSON Feed action allows you to deliver intelligent, personalized content suggestions in JSON format, so you can render them in your own layout using JavaScript. It’s…
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Personyze Product Recommendations Action Guide
Personyze Product Recommendations Action Guide The Product Recommendations action in Personyze enables you to dynamically insert personalized product recommendations content blocks into your site based on user transactions, behavior, CRM…
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How to Set Up Product Recommendations in JSON Format in Personyze
Personyze allows you to create dynamic product recommendations in JSON format, ideal for integrating personalized content within your custom web or app environment. Follow these detailed instructions to successfully set…
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Managed Upselling and Cross-selling
Upload your own curated upsell and cross-sell relationships (which products go with which) so Personyze can recommend them in widgets and emails — instead of relying solely on aggregate purchase…
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Set Social Proof Widget
Boost confidence with various social proof widgets to encourage visitors to engage or buy, by showing that others like them did. Social proof and urgency messaging allow you to use…
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Setting the Product/Content Feed for Your Recommendations
Product/Content Catalog Setup **We are using product data in this example for convenience only; the content feed has the same functionality and structure. Setting up your product catalog will allow:…
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Quick Add to Cart Button for the Recommendation Widget
The code below will be used to add products to a visitor's cart when they click "Add to cart" in a recommendation widget (some widgets have this feature). Setting this…
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Content recommendations using client side API JSON
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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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.