A/B testing

Why use A/B Testing? A/B testing helps merchants evaluate the effectiveness of their campaigns by testing different gift or discount variations under the same condition. This allows you to understand

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.