Recommendations
Product and content recommendations end to end — algorithms, feeds, filters, wizards, widgets and JSON delivery.
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Managed Cross-Sells & Up-Sells
Pair items by hand — cross-sells and higher-value up-sells — for the Managed Cross-Sells and Up-Sells algorithms, and give a new catalog seed sets to start from.
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Set Social Proof Widget
Show that other shoppers bought or viewed an item — the social proof widget's designs, the buyer names it can use, and how it rotates them.
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Setting the Product / Content Feed for Recommendations
What the product or article catalog is, the five ways to load it (URL feed, file upload, SFTP, JSON API, site crawl), the fields the engine uses, and how to…
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Quick Add to Cart Button for the Recommendation Widget
The Quick add to cart code your recommendation widgets call: the add_to_cart function, what it receives and must return, with two working examples.
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Setting Filters On Recommendations
Narrow what a recommendation may show: skip items the visitor already has, restrict the catalog, group similar items, and write your own filter rules.
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Setting Recommendation Fallbacks
Add fallback algorithms for visitors the first choice has nothing for, and decide with Fill empty cells whether a short result is topped up.
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Uploading Past/Offline Transactions for Product Recommendations
Upload past or offline purchases so recommendations have history to learn from on day one — the file, the fields that matter, and the SFTP option.
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Product Interaction Tracking: View, Add to Cart, Purchase
Record what visitors do with your items — views, add to cart, purchases and the categories they browse — through Google Tag Manager, your site or your own code, and…
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Recommendations Outside Your Site: Apps, JSON & Email — Where to Start
Every way to deliver recommendations outside your website — open-time email, the JSON API and mobile apps — with the campaign path, steps and guide for each.
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Content Recommendations Wizard
Build a content recommendation widget from article catalog to live campaign — what readers do, the content algorithms, and the settings that differ from products.