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# Inspiration – Test how content placement influences product discovery and conversions

## Overview

**Goal:** Test how the placement of a cross-sell block (e.g., “You may also like” or “Frequently bought together”) influences engagement and conversions.  
**Build time:** 5 minutes.  
**Expected impact:** Potential uplift of 4–12% in product views and add-to-cart actions.  

## Hypothesis
The position of cross-sell content can affect how users interact with a product page. By moving the cross-sell block above versus below the reviews section, we can find the most effective point in the browsing journey to introduce related products and increase upsells.  

## Assumptions
* **Visibility Impact:** Placing cross-sells above reviews increases visibility and interaction.  
* **Engagement Flow:** Showing recommendations after reviews may better capture users already engaged with the product.  
* **Conversion Intent:** Positioning aligns with user mindset—above reviews targets discovery, below reviews targets buying reinforcement.  
* **Page Experience:** Adding a dynamic block closer to high-traffic areas can improve average order value without disrupting the browsing experience.  

![Example visualization: Cross-sell block above vs. below the reviews section](https://storage.crisp.chat/users/helpdesk/website/-/3/0/a/0/30a06a2316be0a00/image_zxx15v.png =800x800)

## Setting up the experiment in Personizely

To measure placement performance, create an **A/B Experiment** in Personizely using the Content Experiment type.  
For detailed guidance, see the [A/B Experiment tutorial →](https://help.personizely.net/en/article/how-to-create-an-ab-experiment-11075yq/).  

1. Open **Campaigns** in your Personizely Dashboard and create a new **Experiment**.  
2. Choose your product page as the target location.  
3. Define two variations:  
* **Original (Control):** Display the **cross-sell block below the reviews section**.  
* **Variation:** Move the **cross-sell block above the reviews section**.  
4. Keep all design elements, CTAs, and product content identical between both versions to isolate placement as the variable.  
5. Set your primary goal to track key actions, such as **Add to Cart**, **Purchase**, or **Product Clicks**.  
6. Launch the campaign and let it run until both variants reach statistical significance.  

You’re all set. This A/B experiment will help you discover whether highlighting product recommendations earlier in the product page increases cross-sell engagement and overall conversions.