---
title: "Case studies: recommendations in real stores | CrossUp"
date: "2026-10-24"
canonical: "https://crossup.ai/en/cases"
locale: "en"
---

# What CrossUp is already selling in real stores.

Five stores that use CrossUp, with their numbers from the last 90 days and the recommendations that work best for them. All in percentages, with the sample size in plain sight.

*Last 90 days to Oct 24, 2026*

## [Fungi Melena](https://crossup.ai/en/cases/fungi-melena) — Health & Wellness

Fungi Melena: every bundle found its add-on

- **11.4%** of orders included a recommended product. Orders with at least one product added from a recommendation, out of all the store’s orders. (n = 12,006 orders)
- **+49%** higher order value in orders with a recommendation. The recommended items over the rest of that same order. Orders made only of recommended products are left out. (n = 1,337 orders with a recommendation)
- **31.5%** of items added from a recommendation were bought. Products someone added to the cart from a recommendation and then paid for. (n = 3,700 added)

## [Ganga Home](https://crossup.ai/en/cases/ganga-home) — Home & Deco

Ganga Home: the whole room, not a single piece

- **11.8%** of orders included a recommended product. Orders with at least one product added from a recommendation, out of all the store’s orders. (n = 80,100 orders)
- **+20%** higher order value in orders with a recommendation. The recommended items over the rest of that same order. Orders made only of recommended products are left out. (n = 9,460 orders with a recommendation)
- **17.8%** of items added from a recommendation were bought. Products someone added to the cart from a recommendation and then paid for. (n = 55,247 added)

## [Hudson Cocina](https://crossup.ai/en/cases/hudson-cocina) — Home & Deco

Hudson Cocina: every cookware set, with its full line

- **17.6%** of orders included a recommended product. Orders with at least one product added from a recommendation, out of all the store’s orders. (n = 3,260 orders)
- **+34%** higher order value in orders with a recommendation. The recommended items over the rest of that same order. Orders made only of recommended products are left out. (n = 547 orders with a recommendation)
- **18.4%** of items added from a recommendation were bought. Products someone added to the cart from a recommendation and then paid for. (n = 2,076 added)

## [Beauty Web](https://crossup.ai/en/cases/beauty-web) — Beauty & Cosmetics

Beauty Web: the day routine for whoever buys the night one

- **11.5%** of orders included a recommended product. Orders with at least one product added from a recommendation, out of all the store’s orders. (n = 23,515 orders)
- **+21%** higher order value in orders with a recommendation. The recommended items over the rest of that same order. Orders made only of recommended products are left out. (n = 2,697 orders with a recommendation)
- **19.8%** of items added from a recommendation were bought. Products someone added to the cart from a recommendation and then paid for. (n = 7,637 added)

## [Tomassa](https://crossup.ai/en/cases/tomassa) — Beauty & Cosmetics

Tomassa: the missing step in every hair routine

- **11.8%** of orders included a recommended product. Orders with at least one product added from a recommendation, out of all the store’s orders. (n = 8,987 orders)
- **+37%** higher order value in orders with a recommendation. The recommended items over the rest of that same order. Orders made only of recommended products are left out. (n = 1,013 orders with a recommendation)
- **22.9%** of items added from a recommendation were bought. Products someone added to the cart from a recommendation and then paid for. (n = 3,157 added)

## How we measure

This is observational store data, with no control group or A/B test: it shows what happened with the recommendations, not how much the store would have sold without them. Window: Last 90 days to Oct 24, 2026. We never publish amounts, only percentages with their sample size.

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