Boost Your Average Order Value with the Shopify App "Rebuy": Core Features and StoreHero's Operational Best Practices

The goal of this article is to help Shopify merchants understand the process for implementing and leveraging Rebuy to optimize recommendations and offers — and ultimately grow their revenue.

We'll cover everything from the basics to advanced use cases, including product analysis and offer optimization through automated tagging.

When done effectively, cross-sells and upsells after cart addition can increase average order value by around 3–5%. Use this article as your guide to getting the most out of Rebuy.

Rebuy's Core Features and Use Cases

Rebuy is a product recommendation and offer optimization app for Shopify. It lets you place recommendation widgets on product detail pages, checkout pages, post-purchase pages, and more — and configure offer strategies such as bundle discounts and bundled selling.

Common Use Cases

At StoreHero, we use Rebuy for the following purposes:

• Increasing average order value: Raising the value of each individual order
• First-purchase promotion: Special offers for new customers
• Bundle selling: Suggesting related products to encourage add-on purchases and boost cart value
• Volume discounts: Bulk purchase discounts on the same product
• Inventory clearance: Discounting and surfacing products that need to be cleared out

How to Use Rebuy: The Basics

Rebuy works by creating widgets and rule sets that power various recommendations and offers. Here's how it works.

Creating Widgets

Rebuy offers widgets that can be used across a wide variety of pages, allowing you to present recommendations and offers at key touchpoints.

• Homepage
• Product detail page
• Cart page
• Checkout page
• Post-purchase page
• Account page
• Gift with Purchase
• Smart Links

Gift with Purchase is a feature that automatically adds a gift to the cart when a customer meets specific conditions. Smart Links are links that, when clicked, add a specific product to the cart and redirect the customer to the cart or checkout page — with the option to attach a discount as well.

Widgets offer detailed storefront configuration options, including design customization and control over which product pages they appear on. Discount settings can also be configured within widgets.

Creating Rule Sets

In Data Sources, you can define "rule sets" that determine how products are recommended within a widget. For example, you can combine multiple conditions — such as applying a bundle discount only to products with a specific tag — giving you complete flexibility in configuration.

Depending on when the widget appears, you can tailor recommendations between products that tend to be purchased together versus products that tend to be considered together.

Beyond controlling which products are recommended for a given product, you can configure recommendations based on a wide range of conditions — including customer attributes, cart contents, and date — making it easy to tailor your approach to your specific product catalog.

Useful Widgets

In addition to standard recommendations, Rebuy includes several powerful widgets worth highlighting.

Smart Cart

Smart Cart is a feature-rich cart experience that appears after a product is added to the cart. It can display related product recommendations and discount offers, as well as an announcement bar, coupon code field, and order notes section — enhancing not just average order value, but the overall purchase experience.

Post Purchase

Post Purchase is a mechanism that encourages additional purchases immediately after checkout. Right after an order is placed, customers are presented with related products — often at a discounted price — to increase cart value. You can build out full scenarios, and even if the initial offer is declined, a downsell can be triggered to encourage an add-on purchase.

StoreHero's Tips for Getting the Most Out of Rebuy

Rebuy is a powerful recommendation and offer optimization app, but its performance varies greatly depending on how you use it. Here's a look at some of StoreHero's key approaches to maximizing Rebuy's impact.

Product Analysis

Compiling the following data in advance makes it much easier to configure effective rule sets.

• Products purchased together (including product type, tags, collections, etc.)
• Remaining days of inventory for each product
• Products that, when purchased first, lead to higher LTV (Lifetime Value)

Products Purchased Together

Understanding co-purchase trends makes rule set configuration much more straightforward. For apparel, even the same product may show different co-purchase patterns depending on color, so it's worth analyzing at the SKU level.

Unfortunately, Rebuy doesn't support variant-level recommendations, but if you're building a flow where customers are first introduced to a coordinated look through content and then shown Rebuy recommendations, this analysis is a useful reference for creating those outfit combinations.

Additionally, tagging products with attributes like design, silhouette, and function — then analyzing which tag combinations tend to appear together — often yields valuable insights.

Remaining Days of Inventory

If a product's remaining inventory days exceed its sell-by date (such as an expiration date), you may be forced to move it through an outlet at a steep discount. But if you identify this early enough, you can use targeted offers to minimize losses.

Conversely, for products with limited stock, it may be worth excluding them from recommendations and offers altogether.

If inventory levels are unstable, avoid relying on Rebuy's automatic recommendation engine and instead configure rule sets that reflect your current inventory situation.

Products That Lead to Higher LTV When Purchased First

Occasionally, a product that doesn't generate significant revenue on its own turns out to drive much higher LTV when it's a customer's first purchase. Run a cohort analysis segmented by first purchase product and review the resulting LTV figures. If you identify high-LTV products, recommending them to first-time buyers via Post Purchase and similar features can give your LTV a gradual but meaningful boost.

Automated Tagging

Once your product analysis clarifies what to offer, to whom, and at which point in the journey, you can configure the corresponding rule sets in Rebuy.

While Rebuy allows for granular rule set configurations, from a maintenance perspective, we recommend using product tags to toggle recommendations and offers on and off.

For example, you might tag products that are frequently purchased together with a dress as "set_dress", then configure a Rebuy rule set on the dress product page to recommend items from a collection with that "set_dress" tag.

By automating the tagging process, you can sustain even complex Rebuy rule set configurations in practice.

A/B Testing

Even with thorough analysis behind your implementation, results aren't guaranteed. We recommend A/B testing your rule sets to determine what actually works.

With Rebuy, you can also see exactly which products are being sold through each widget. By reviewing A/B test results alongside actual sales data, you can continuously refine your rule sets. If you carry a large catalog or if best-sellers shift with the seasons, make it a habit to tune your settings regularly.

Summary

In this article, we've walked through how to use Rebuy to optimize product recommendations and offers.

Rebuy is a powerful tool that makes it easy to implement recommendations and offer optimization on Shopify. We covered the basics alongside real-world examples from StoreHero — including product analysis and automated tagging. By making effective use of features like Smart Cart and Post Purchase, you can achieve a range of goals: increasing average order value, improving inventory clearance efficiency, and driving first-purchase conversions. Pursue continuous improvement through A/B testing and regular configuration reviews to unlock the full potential of Rebuy.

If you're considering implementing Rebuy, don't hesitate to reach out to StoreHero for support!