Keks Fashion Recommendations vs Shopcast: Product Recommender
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Oct 14, 2026 for Keks Fashion Recommendations, Oct 13, 2026 for Shopcast.
The short answer
- On the Shopify App Store: Keks Fashion Recommendations 5.0 from 1 reviews and Shopcast 5.0 from 3 reviews.
- Paid plans start at $9.99/month for Keks Fashion Recommendations and $24.99/month for Shopcast.
- Shopcast lists 4 features Keks Fashion Recommendations’s listing doesn’t mention, including Cart upsell, Click-through rates, Conversion rates.
Head to head
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Starter Plan
- · Admin dashboard
- · All Keks recommender systems
- · All Keks widgets
- · Basic support
- · Integrated analytics
- · Live previews
Growth Plan
- · Admin dashboard
- · All Keks recommender systems
- · All Keks widgets
- · Integrated analytics
- · Live previews
- · Standard support
Plus Plan
- · Admin dashboard
- · All Keks recommender systems
- · All Keks widgets
- · Integrated analytics
- · Live previews
- · Priority support
Pro Plan
- · Admin dashboard
- · All Keks recommender systems
- · All Keks widgets
- · Integrated analytics
- · Live previews
- · Priority support +
Basic Plan
- · Advanced Analytics
- · Customizations
- · ML Recommendation
- · Manual Recommendation
- · Model training on 100 products
Growth Plan
- · Advanced Analytics
- · Customizations
- · ML Recommendation
- · Manual Recommendation
- · Model training on 500 products
Advance Plan
- · Advanced Analytics
- · Customizations
- · ML Recommendation
- · Manual Recommendation
- · Model training on 2,000 products
Enterprise Plan
- · Advanced Analytics
- · Customizations
- · ML Recommendation
- · Manual Recommendation
- · Model training on Unlimited products
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureKeks offers a powerful AI solution that transforms your store, driving customer engagement, product discovery, conversion rates, revenue, AOV and more. Unlike other recommenders, Keks harnesses the power of computer vision and generative AI through multiple unique recommender systems tailored for fashion.
Deliver personalized recommendations to your customers exactly when they're most valuable! Our cutting-edge recommendation engine harnesses real-time data and advanced algorithms to provide custom-tailored suggestions for your customers.
- Recommenders: Visually Similar, Complete The Outfit, Shop The Color, and more.
- Highly configurable and customizable widgets, built for Shopify 2.0 Themes.
- Track results with integrated analytics.
- Unlimited support, easy-to-install, and seamless onboarding.
- Monitor ROI with analytics for related products, recently viewed, and upsells.
- Real-time Personalized Recommendations
- Recommendations based on similar products and similar customers
- Customizations based on where you want to show product recommendations








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 | Keks Fashion Recommendations | Shopcast |
|---|---|---|
| Detected stores | Not published | Not published |
| 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 | Not published |
| Top store countries | Not published | Not published |
Reviews
| Measure | Keks Fashion Recommendations | Shopcast |
|---|---|---|
| App Store rating | 5.0 ★ | 5.0 ★ |
| App Store reviews | 1 | 3(ahead) |
| New reviews, 28 days | Not enough data | 0 |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | Keks Fashion Recommendations | Shopcast |
|---|---|---|
| Free plan | Not listed | Not listed |
| Lowest paid monthly plan | $9.99/month(ahead) | $24.99/month |
| Longest free trial | 30 days | 30 days |
| Plans listed | 4 | 4 |
Listing
| Measure | Keks Fashion Recommendations | Shopcast |
|---|---|---|
| Shopify category rank | Not enough data | #445 |
| Shopify App Charts | Not on this week’s charts | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | Nov 5, 2024 | Sep 7, 2021 |
| Languages | 1 | 1 |
| Developer | Keks | XStak |
FAQ
Keks Fashion Recommendations and Shopcast: common questions
- Is Keks Fashion Recommendations or Shopcast cheaper?
- Paid plans start at $9.99/month for Keks Fashion Recommendations and $24.99/month for Shopcast. Shoplist compares base prices only between monthly plans in the same currency; usage charges and annual plans vary, so check each plan’s limits.
- Which has better reviews, Keks Fashion Recommendations or Shopcast?
- On the Shopify App Store: Keks Fashion Recommendations 5.0 from 1 reviews and Shopcast 5.0 from 3 reviews.
- What features does each app list that the other doesn’t?
- Shopcast lists 4 the others don’t mention, such as Cart upsell, Click-through rates, Conversion rates, Funnel performance. 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 Oct 14, 2026 for Keks Fashion Recommendations, Oct 13, 2026 for Shopcast; 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 Oct 14, 2026 for Keks Fashion Recommendations, Oct 13, 2026 for Shopcast. 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.





