# A/B testing
### Applicable Campaign Types
A/B testing is available for the following campaign types:
* **Gift with cart value**
* **BXGY (Buy X Get Y)**
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### What can be tested?
With A/B testing, you can test the **gift or discount customers receive** under the same spending condition.
**Goals:**
* Understand customer preferences when spending the same amount of money.
* Compare the effectiveness of different reward types (discounts vs. free gifts) in driving conversion, AOV, and additional value.
**Use Cases:**
* Spend $50 → Option A: 10% off socks vs. Option B: 10% off t-shirt
* Spend $50 → Option A: free clock vs. Option B: free glasses
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### Setup
1. **Create or edit a campaign** (Gift with cart value or BXGY).
2. Inside the campaign editor, enable **A/B test**.
* This will allow you to configure **Option A** and **Option B** rewards under the same condition.
3. Define the reward for each option (discount or free gift).
4. Save and activate the campaign.
Customers will be randomly assigned to either **Option A** or **Option B** when they meet the campaign condition.
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### Analytics
In the campaign list, you can track performance for each option within the A/B test:
* **Views**: Number of times the offer was shown.
* **ATCs (Add to Carts)**: Number of times customers added the gift/discount.
* **CR (Conversion Rate)**: How effectively the offer converts views into actions.
* **Revenue / Additional Value**: Contribution of each option to your store’s revenue.
By comparing Option A and Option B results, you can identify which reward drives better performance and optimize future campaigns accordingly.
