RecoBoost is a recommendation engine app that shows recommended products on your Shopify store. You can choose from 10 logic types including AI Auto-Optimize, Trending, Bestsellers, Recently viewed, Cart abandonment recovery, Related cart recommendations, Collaborative filtering (view/cart/purchase), and Similar Items (AI). AI Auto-Optimize learns click-through rates and automatically picks the most effective logic. After setup, you can view impressions, clicks, and conversions in the dashboard.

RecoBoost is designed to be as simple as possible. Just add a widget in the theme editor and pick a recommendation type—that is it. No app-side setup, no complex rules, no parameter tuning. The admin is divided into Dashboard, Widget placements, Recommendation settings, Plans & billing, Email recommendations, and FAQ—open only what you need.

Virtually not at all. RecoBoost widgets load asynchronously, so they never block the rest of the page from rendering. Recommendation data is served from edge caches for fast retrieval, meaning your customers will not notice any slowdown.

Just add a widget in the theme editor. Go to Online store → Themes → Customize, open the page where you want recommendations, and add a section → Apps tab → RecoBoost block (or Add block → RecoBoost in an existing section). Pick a recommendation type and save—done.

In Shopify admin go to Online store → Themes → Customize, select the page (Home, Product, Cart, etc.), then in the preview add a section → Apps tab → RecoBoost block, or in an existing section choose Add block → RecoBoost. Set the recommendation type, heading, number of products, etc., and save.

A page that shows all the RecoBoost widgets you have added via the theme editor at a glance—which page has which recommendation type. You can jump directly to the theme editor for any widget. The same logic can be placed on multiple pages, and there is no limit on the number of placements.

Recommendations based on other shoppers' behavior (views, add-to-cart, purchases). Accuracy improves as more data is collected. Right after launch or with low traffic, you may see fewer recommendations or fall back to Trending.

It is the limit on how many recommendation types (logics) you can use on your plan. For example, adding Trending and Bestsellers widgets counts as 2. Using the same Trending on multiple pages still counts as 1 type.

Check that you added the RecoBoost block in the theme editor and saved; that RecoBoost is enabled under "App embeds" (required for browsing history); that the RecoBoost Web Pixel is enabled in checkout settings if conversions are 0; that real events are happening on the store. It can take a short time for events to be aggregated and shown.

All plans support all 10 logic types including AI features. The maximum number of products that can be recommended differs (Starter: 100 / Standard: 1,000 / Pro: 10,000). Widget placements are unlimited; using one logic on multiple pages still counts as one type.

All plans include a 30-day free trial. Billing starts after the trial. You can change or cancel your plan on the Plans & Billing page. After cancelling, you can keep using the app until the end of the trial or billing period.

Use the Language option in the top-right of the admin to switch between Japanese and English. This applies to the RecoBoost admin and some widget text, and is separate from your store theme language.

Yes. When a customer clicks a product in your RecoBoost widget and completes a purchase (an attributed conversion), you can start a Shopify Flow workflow. In Shopify admin, open the Flow app, create a workflow, and choose RecoBoost's trigger (e.g. RecoBoost recommendation converted). Combine it with Flow actions like adding customer tags or sending internal notifications. Your store must support Shopify Flow and have the Flow app installed.

Email recommendations let you embed dynamic product images in your marketing emails. Paste a single <img> tag into your template in Klaviyo, Mailchimp, Omnisend, Shopify Email, or any ESP. When the email is opened, a real-time product recommendation image is generated automatically. Available on all plans.

Go to the Email recommendations page in the app admin, enable the feature, and choose a recommendation logic. Copy the code snippet (an <img> tag) and paste it into your ESP's template. If you use a browsing-history-based logic, the snippet automatically includes your ESP's merge tag for the recipient's email address.

MCP (Model Context Protocol) lets external AI tools and development environments work with RecoBoost. Connect Claude or Cursor to check or change settings from chat. On the MCP settings page, issue an access token, then set RECOBOOST_SESSION_TOKEN (required) and RECOBOOST_SHOP (optional) in each tool. Available on all plans.