About the App

An Automated Product Recommendation App that helps BigCommerce stores Upsell, Cross-sell, Personalize Shopping Experiences, increase Conversion Rates, Average Order Value (AOV), and Boost Sales for your store.

How Order Booster helps the store owner: Save Time by applying Automation, bring Better Customer Experience for shoppers, and most importantly - Sell more.

Automation: Super flexible concept to set up conditions to trigger a display of product list, based on: Current Product, Items in Cart, Cart Info, Customer Behaviors (Recent Purchases, Recent Views, Spent Amount, AOV, Groups).

Real-time Audience Segmentation: Segmentation based on customer behavior, purchase histories are tracked in real-time. Get a better understanding of your customers and suggest the product they want to buy.

Personalized Recommendation, Up-sell, and Cross-sell: Display recommended products in different ways. To recommend (products that customer might be interested in), Up-sell (suggest to buy a higher-value version of the product), Cross-sell (complementary products customers often buy with the main product)

The Concept is Simple but Powerful and Effective:

  • Target Pages: Set specific or multiple target pages to display Recommendation Products, such as: Product Page, Cart Page, Checkout Page, and Thankyou Page

  • Know your Customer: Based on our Powerful Conditions Settings, you will better understand your customer based on their: History (Recent Purchases, Spent Amount, AOV, etc.), Currently Browsing Behaviors (Recent Views, Items in Cart, Cart Info, etc.), and where they are in your store (Target pages).

  • Display Recommendation for each Customer Segment: Customize the list of products to display to each segment of customers on different pages, to Boost Sales

  • See the Booster Result in Statistic and Chart and continue improvement

Display product: in Grid/Carousel, layout and message are customizable.

Save time: By applying Automation together with super flexible recommendation rules, merchants can automate campaign setup and optimization.

Sell more: Use a deeper understanding of your customer to increase conversion rate.

OrderBooster is currently running on a free plan. Contact us if you have any questions or suggestions.

Pricing

Upfront Fee:

$0

Recurring Fee:

$0/mo.

App Details

Partner Tier:

Preferred

Preferred

Information

Last Updated:

November 14, 2025

Compatible with:

GroupSingle Click

This app may not be fully compatible with multi-storefront. Please get in touch with the Technology Partner for further details.

Documentation:

User Guide

Resources:

Terms of ServicePrivacy Policy
Contact Partner

App Features

Boost your store's revenue

With product recommendations, upselling and cross selling on different steps throughout the buyer's journey.

Delight your customers

With an automation engine which can analyze behaviors, segment shoppers and provide relevant product suggestions.

Get started easily

Customize to your own needs in minutes with flexible rules and messages configurations.

Flexible recommendation rules

  • Create & manage multiple rules

  • Choose specific conditions to show recommendations: pages, cart info, order history, and customer behaviors

  • Offer products recommendations or upsell, cross-sell

  • Schedule on/off time for your rules

Easily customizable storefront

  • Tailor your messages on recommendation sliders with headlines and descriptions

  • Choose specific product display rules for sliders: number of items or sort order

Case Studies

Recommendations

A customer comes to your store, and he is logged in. He is start browsing your store, and viewing a Gaming Laptop product. Using Order Booster app, you know that what product he is viewing, you also know that he is a returned customer, and spent total $2000 on your store with AOV $600. He is added few items to cart, so he is a very potential customer. With all data you get above, you think that he might be interested in Gaming Keyboard and Mouse, might be also gaming chair. Then you can list down all of these products as recommended products. So John tend to buy more, or atleast know that you sell other product he interested, then add them to wishlist and may spend more.

Read their story

Up-Sell

Tony is interested in a camera model which is selling on your store. After searching around, he tend to buy a Camera A, because of very resonable price your store is offering. He clicks on Add to cart on the product page. Then an offer screen is poped out, to tell him a better version Camera A2, with a big discount and limited. Camera A2 is the product you prefer to sell, and Tony get more benefit by choosing Camera A2. He decide to replace Camera A by Camera A2, and you can get more Order Value from this customer. Order Booster will help you to do this scenario in very easy way.

Read their story

Customer Reviews

4.00 out of 5 stars with 1 reviews

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