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AI Recommendations by Aqurate

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Improve your conversions, AOV, and customer retention using AI-driven product recommendations

paid· from $99/mo· for mid-market

Aqurate Personalize generates product recommendations for Shopify stores, targeting conversion rate, AOV, and repeat purchase metrics through upsell and cross-sell widgets placed across the storefront. The system runs automatically once installed, but merchandisers can layer rules to pin products, exclude categories, or prioritize margin. Syncs with Klaviyo, Mailchimp, Brevo, ActiveCampaign, and theMarketer to extend personalization into email. Built for mid-market Shopify operators who want algorithmic recommendations without building a data science function.

> pick this if

Pick this if you're a Shopify mid-market operator who wants algorithmic PDP/cart/checkout recommendations and Klaviyo-synced picks without staffing an ML team or configuring a heavyweight CDP.

> look elsewhere if

Look elsewhere if you're on BigCommerce, Magento, or a custom stack, need deep segment-level personalization tied to a CDP, or require MCP/agentic access and granular A/B testing infrastructure.

> AI Recommendations by Aqurate is built for

  • platform-agnostic

> what it does for ecommerce

  • Deploy upsell and cross-sell widgets across PDP, cart, and checkout
  • Layer merchandising rules on top of algorithmic recommendation output
  • Sync personalized product picks into Klaviyo and Mailchimp campaigns
  • Automate recommendation logic without manual curation or tagging work
  • Track lift on conversion rate, AOV, and rebuy rate

> how you'd use it

  • DTC apparel brand on Shopify, $5M–$20M GMV, 2–4 person marketing team
    Replacing a native Shopify 'related products' block with algorithmic PDP and cart widgets, then piping the same recommendation feed into Klaviyo post-purchase flows
    Mid-single-digit AOV lift from cart cross-sells and measurable rebuy rate improvement on the 30/60/90-day email series
  • Shopify beauty or supplements brand, $2M–$10M GMV, single merchandiser
    Running automated recommendations across PDP and checkout while layering rules to pin hero SKUs and exclude clearance from cross-sell slots
    Recommendation coverage across the catalog without manual tagging, with margin-weighted picks surfacing in the checkout upsell
  • Mid-market home goods retailer on Shopify Plus, $15M–$40M GMV, 5–8 marketers
    Using Aqurate as the personalization layer feeding Klaviyo browse-abandon and winback campaigns, with theMarketer handling adjacent retention channels
    Unified recommendation logic across site and email, removing the need to hire a data scientist or stand up a separate reco engine

> AI Recommendations by Aqurate use cases

> AI Recommendations by Aqurate key features

  • AI-driven product recommendations
  • Upsell and cross-sell widgets
  • Fully automated recommendations
  • Advanced merchandising rules
  • Personalized user journey

> integrates with

> how ai recommendations by aqurate compares

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