Shopify App : Appstle℠ Recommendations

Your go-to app for personalized recommendations, upsells, AOV

About Appstle℠ Recommendations

Fast & flexible management : Easily setup & manage with powerful AI powered tools: custom theme fit, product indexing, personalized recommendations,.. 0 coding reqd!

Larger customer wallet share : Increase average order value with profund customer convenience: highly relevant & targeted recommendations, continuos M/L feedback loop,..

Compelling features & pricing : Access the most comprehensive features to rapidly scale: multiple recommendation types, smart placements, custom widgets, APIs & webhooks,..

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Personalized Recommendations is the latest solution from Appstle℠, focusing on wallet share & customer loyalty. Appstle’s flagship product, Appstle Subscriptions has over 7000 active merchants & 1600+ 5 star reviews.

NOTE 1: Seamless migration from other apps (V1 & V2). Supports 2.0 themes

NOTE 2: GDPR, PIPEDA & data privacy compliant

NOTE 3: Integration with third-party Shopify apps across categories, as well as a seamless flow with Appstle portfolio

NOTE 4: Robust & full-fledged APIs and webhooks available

NOTE 5: Custom dev (with custom pricing) available

NOTE 6: 24x7 white glove support from dedicated engineers for all plans - Chat & Zoom

What is Appstle℠ Personalized Recommendations?

Appstle Recommendations is a comprehensive solution for offering highly targeted and intelligent recommendations at key junctures of customer journey, to increase your sales volume, revenue, and wallet-share of shoppers. Founded by an Apple-Siri engineer and an ex-Amazonian, it uses revolutionary technology, to offer compelling features at compelling prices. Silicon Valley based & funded.

Why Appstle Personalized Recommendations?

  • Boost customer convenience, experience, and stickiness through highly personalized product recommendations that are easy to setup
  • Increase AOV by offering customized recommendations of different types (‘Also bought’ / ‘Best Sellers’ / ‘Trending’ / …) that are AI powered, but enable human intervention (manual ‘handpicked’ recommendations) when needed
  • Focus on what matters the most – increasing order value & profitably scaling your business, while delegating the technicalities to Appstle

Key Features

  1. Plug & play setup. Get set up in minutes & personalize your product recommendations across mobile, email, ads, etc. No coding or technical knowledge needed
  2. Artificial Intelligence (AI) & machine learning (ML) powered recommendations backed by voluminous and highly relevant customer data across geos & products
  3. Endless recommendation types to choose from & multiple combinations to experiment with. Eg: Also Bought, Frequently Bought Together, Best Sellers, Related Products, Shop This Look, …
  4. Smart widgets customized by recommendations type & placement through shopping journey (e.g. home page, product page, cart page, checkout (for Shopify Plus), thank you page, …)
  5. Unlimited shopper email notifications at strategic touchpoints, to increase conversion
  6. Granular customer journey view to securely track and assess visitor engagement - browsing sequence, browsing session, clicks, time spent, etc
  7. Robust performance tracker & analytics, to evaluate average order value & ROI of recommendations, to iteratively scale
  8. Seamless app integrations (for shopper quiz, loyalty pts, bundling, pricing discounts, emails, etc)
App Images
Launch date
March 21, 2022
Top features

Seamless workflow: use directly in Shopify admin

Up-to-date tech: works with the latest themes

About the Author

Matej Kontros

Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.

Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.

Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.

Visit his website at [ Web Linkedin ] or contact him at