# A/B Testing

Test different offer variations to find what converts best. A/B testing lets you compare up to 2 options for each upsell step and measure which performs better.

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## How it works

When A/B testing is enabled, customers are randomly shown one of the test variations. The app tracks performance metrics for each variation so you can identify the winner.

### What you can test

You can create variations for any of these elements:

| Element               | Description                                                      |
| --------------------- | ---------------------------------------------------------------- |
| Offer title           | Test different headlines and messaging                           |
| Discount type & value | Compare percentage vs fixed amount, or different discount levels |
| Template              | Test different layout designs                                    |
| Countdown display     | Test with/without countdown timer                                |
| Countdown text        | Test different urgency messages                                  |
| Expiration time       | Test different offer durations                                   |
| Free shipping         | Test with/without free shipping offer                            |
| Product layout        | Test scrollable vs standard layout                               |

### Metrics tracked per variation

* **Impressions** — number of times the variation was shown
* **Total Orders** — number of orders created from this variation
* **Total Revenue** — revenue generated by this variation

## Setting up an A/B test

### Step 1: Open your offer

Navigate to your offer's edit page. In the upsell step you want to test (Upsell #1, Upsell #2, or Downsell), look for the **A/B Test** toggle.

### Step 2: Enable A/B testing

Turn on the A/B test toggle. This creates **Option A** (your current settings) and **Option B** (a new variation).

### Step 3: Configure Option B

Modify the settings for Option B. For example:

* Change the discount from 10% to 15%
* Use a different template
* Adjust the countdown timer text

### Step 4: Save and monitor

Save your offer. The app will automatically split traffic between the two options and track performance.

### Step 5: Review results

Check the A/B test results in your offer's analytics. Compare:

* Which option gets more orders?
* Which generates more revenue?
* Which has a higher conversion rate?

### Step 6: Pick a winner

Once you have enough data, stop the A/B test and keep the winning variation. Click **Stop A/B test** to save the results and apply the winner.

## Best practices

* **Run tests long enough** — wait for at least 100 impressions per variation before drawing conclusions
* **Test one element at a time** — changing multiple things makes it hard to know what caused the difference
* **Start with high-impact elements** — test discount value and offer title first, as they have the biggest impact on conversions
* **Reset analytics** if you make changes mid-test to get clean data

## Availability

A/B testing is available for all upsell steps:

* **Post-purchase upsell**: Upsell #1, Upsell #2, and Downsell
* **Thank you page upsell**: Upsell step
* **Order status page upsell**: Upsell step