Reco ‑ Product Recommendations vs RecoMelon
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of May 6, 2026 for Reco, Nov 9, 2026 for RecoMelon.
The short answer
- RecoMelon lists 24 features Reco’s listing doesn’t mention, including AI recommendations, Analytics, Cart upsell.
Head to head
- United States
- United Kingdom
- Australia
Free
Starter
- · $1/day trial for first 30 days
- · Customisation options
- · Dealbreaker product filtering
- · Onboarding support
- · Performance reporting
- · Supports up to 1,000 SKUs
Growth
- · Everything in Starter
- · Supports up to 5,000 SKUs
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureA smart product recommendation engine that helps customers make faster decisions, reducing buyer fatigue. Empower purchasing decisions based upon your customer shopping habits and trends. This real purchase data helps shoppers decide faster and guides them to your best-selling products, increasing upsells/cross-sells, average order value, and conversion rate (CVR). Help your customers decide faster.
RecoMelon replaces generic product carousels with intelligent AI enhanced recommendations based on visual similarity, shared attributes and complementary purposes. It suggests look-alike or visually complementary items and can exclude products with unwanted attributes like sleeve type, design patterns or fabric. No manual tagging is needed, and you can add the galleries without custom theme work.
- Up and running in minutes with easy onboarding
- Build recommendations based on realtime and historical purchase data
- Monitor recommendation effectiveness with bespoke, customisable analytics
- Tailor to your storefront with customisable algorithm, presentation and styling
- Visual AI Matches- Stop random recommendations. Suggest visually coherent items.
- Dealbreaker Filters- Shoppers can zone in on product attributes they care about.
- Smart PDP Embeds- Install style-matched recommendations with theme app blocks.
- Customisation- Control layout, filters & style to match your storefront design.
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  Reco |  RecoMelon |
|---|---|---|
| Detected stores | Not published | 33 |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Apparel & Accessories, Home & Garden, Hardware |
| Top store countries | Not published | United States, United Kingdom, Australia |
Reviews
| Measure | Reco | RecoMelon |
|---|---|---|
| App Store rating | Not published | Not published |
| App Store reviews | Not published | Not published |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
Reco and RecoMelon: common questions
- What features does each app list that the other doesn’t?
- Reco lists 1 the others don’t mention, such as Comparison table. RecoMelon lists 24 the others don’t mention, such as AI recommendations, Analytics, Cart upsell, Click-through rates. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of May 6, 2026 for Reco, Nov 9, 2026 for RecoMelon; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of May 6, 2026 for Reco, Nov 9, 2026 for RecoMelon. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.