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,..
Integrations
LoyaltyLion - Zapier
Klaviyo - Growave
Gorgias - UpPromote
EcomSolid - Transcy
Yotpo - Disc Pricing
Bundler - PageFly
Description
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
- Plug & play setup. Get set up in minutes & personalize your product recommendations across mobile, email, ads, etc. No coding or technical knowledge needed
- Artificial Intelligence (AI) & machine learning (ML) powered recommendations backed by voluminous and highly relevant customer data across geos & products
- Endless recommendation types to choose from & multiple combinations to experiment with. Eg: Also Bought, Frequently Bought Together, Best Sellers, Related Products, Shop This Look, …
- 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, …)
- Unlimited shopper email notifications at strategic touchpoints, to increase conversion
- Granular customer journey view to securely track and assess visitor engagement - browsing sequence, browsing session, clicks, time spent, etc
- Robust performance tracker & analytics, to evaluate average order value & ROI of recommendations, to iteratively scale
- 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 [email protected].