R Also Bought Together Upsells

Develop by Shopify

Free plan available

Boost sales with upsells, bundles, and cross-sells on Shopify.

Multi-language support

One-click installation

Multi-currency support

Pre-purchase upsells

Product bundles

Automatic recommendations

Cross-sell addons

About R Also Bought Together Upsells

Launched May 20, 2025

Built by Shopify

Address

Tontitown, AR, US

Website Support Portal Privacy policy Tutorial FAQ Document

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Zotasell: AI Upsell & Bundles

(39 Reviews)

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Description

One click upsell & cross sell. Bundle frequently bought together & related product addons.

Displays high conversion pre-purchase upsell offers. This prompts customers to bundle related products / accessories. Upsell & cross sell offers can be created manually or using automatic product recommendations. We also support multi-language and multi-currency Shopify stores. Choose the style of upsell that suits your store. You can automatically install the app in one click.

Show "frequently bought together" product upsell bundles.
Cross sell product addons on the product page.
Automatically install app in one click :)

Pros

Boosts sales by displaying high conversion pre-purchase upsell offers.
Allows customers to bundle related products and accessories, increasing average order value.
Supports multi-language and multi-currency Shopify stores, making it versatile for international businesses.
Offers both manual and automatic product recommendations for upselling and cross-selling.
Simple, one-click automatic installation process.
Customizable upsell style options to suit different store aesthetics.
Features like 'frequently bought together' product upsell bundles enhance customer shopping experience.

Cons

Potential for installation and functionality bugs or glitches as indicated by some user reviews.
Limited customization in some areas of the app as pointed out by users seeking more flexibility.
May require trial and error to determine the most effective upsell and cross-sell strategies for a specific store.
Some users may find that the automatic product recommendations are not always accurate or relevant.