Shopify App : Wiser ‑Upsell, Recommendations

Also Bought Together, Related Product, Personalization with AI

About Wiser ‑Upsell, Recommendations

Personalized Recommendations : Wiser's AI based product recommendations shows the most relevant recommendations inspired by user behaviour & helps them in buying decision.

AI Frequently Bought Together : Wiser provides you an advanced frequently bought together by that you can boost conversions with personalization & upsell & cross sell

Customer Journey & Analytics : Track browsing of visitor in analytics. You can check customer journey, visualize their browsing by related products, shop the look.

Integrations
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Description

Wiser AI for Personalized Recommendations, Frequently Bought Together, Upsell.

=== Latest Updates -

  • Dynamic Email Recommendations, unique & personalized to each customer
  • Pricing logic in Checkout Upsell
  • One Click Upsell - Shop the Look
  • Margin based recommendations

* API access for Merchants & Partners

By using Wiser's Personalization Engine, you can show the following recommendations on your store & increase average order value + sales.

  • Frequently bought together + fallback options + AI features
  • Manual recommendations (Handpicked)
  • Checkout page recommendations
  • Related Products + AI
  • Recommended products inspired by user's browsing pattern
  • Customer Journey View
  • Thank you page recommendations
  • Upsell Popups
  • Best Sellers
  • New Arrivals
  • Trending Items
  • Recently Viewed
  • person

Trusted by these Shopify Plus brands & many more -

=> History Channel, Star Wars Jewellery, Skull Shaver, Global Healing, Unilever, Enchanted Disney, Kappa USA & 3000+ brands.

Key Features -

AI Frequently Bought Together with fallback options:

Using this widget, you can show the products purchased together by previous customers. Allow the user to add the product upsell bundles to their cart with one click.

AI based Personalized Recommendations:

Wiser analyze the user’s browsing & shows automated recommended products based on that. This works like Amazon’s Inspired by Browsing recommendations option.

Customer Journey

You can view detailed browsing pattern of every customer in our customer journey section which shows you step by step browsing history of a customer with all the actions performed by them.

Checkout Upsell

Wiser allows Shopify Plus plan users to show product recommendations on Checkout Page too.

Advanced Related Products:

Show products related to those that a visitor is currently browsing. Related items are determined based on similar collections, tags, product type & product tags.

Manual Recommendations for Personalization - Shop the Look

In this widget, you can select the products manually which you want to show under any product. It gives you complete flexibility to create a manual selection.

Dynamic Email Recommendations

Send personalized product recommendations by email to your customers. Configure your email template & export to MailChimp or Klaviyo to upsell by email marketing.

Upsell Popups:

Upsell popups allows you to show recommendations in popups as well based on various conditions like exit intent, page scroll & on click of add to cart.

Track sales with in-depth analytics.

The analytics dashboard helps you to track the sales made using each of Wiser’s widgets.

Best Sellers:

Display your top-selling products with this.

App Images
Launch date
April 12, 2017
App rating
4.8
Top features

Seamless workflow: use directly in Shopify admin

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

Social media links

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].