Appstle℠ Recommendations App Reviews

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.

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.

• 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

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)