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Introduction

SimplerSuite Recommendations adds intelligent product recommendations to your Shopify store. It learns from your store’s traffic and adapts over time, progressing through three recommendation levels:

  1. Rule-based — curated rules like “bought together”, “same collection”, and trending products. Available immediately.
  2. ML-powered — gradient-boosted tree models trained on your store’s click, cart, and purchase signals. Activates automatically once enough data is collected.
  3. Embedding-based — deep product embeddings that capture nuanced similarity. Available on the Scale plan.

Key Features

  • Multiple widget placements — product page, cart, collection, home, post-purchase
  • A/B testing — compare recommendation strategies with built-in experiment framework
  • Review sentiment analysis — factor customer review sentiment into recommendations
  • Analytics dashboard — impressions, clicks, add-to-carts, and revenue attribution
  • Event tracking — track shopper interactions to improve model accuracy
  • Integrations — Klaviyo, Mailchimp, and webhook support

Architecture

The app runs as a Shopify embedded app with:

  • An admin dashboard for configuration, analytics, and billing
  • A storefront widget injected via Shopify app embed or manual installation
  • A recommendation engine that processes events and generates recommendations server-side
  • API endpoints for headless storefronts and custom integrations

Pricing

PlanPriceSessionsHighlights
StarterFree1,000/moRule-based recs, 2 placements, basic analytics
Growth$29/mo10,000/moML recs, all placements, full analytics
Pro$79/mo50,000/moSentiment analysis, A/B testing, taste segments
Scale$199/moUnlimitedEmbedding recs, API access, priority support

See Pricing for full details.