> ## Knowledge Base Index
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> Use this file to discover available pages before exploring further.
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# Lift testing

## Lift test
Measure the real impact of your bundle campaign by comparing visitors who see the campaign against visitors who don't. Lift Test helps you understand whether Adoric is increasing revenue, Average Order Value (AOV), Conversion Rate (CR), and other key metrics using real store traffic.



## How Lift Test works
When you enable a Lift Test, Adoric automatically splits eligible visitors into two groups:

**Control Group (No Adoric)**
Visitors do **not** see your bundle campaign.

**Adoric Group**
Visitors **do** see your bundle campaign.

Both groups visit the same products under the same conditions. The only difference is whether the Adoric campaign is displayed.
This allows you to accurately measure the true impact of your campaign.


## Example
Let's say your campaign is assigned to **2 products**.
If you choose a **50% traffic split**:

* Visitor #1 sees the bundle campaign.
* Visitor #2 does not see the campaign.

As more visitors arrive, Adoric continues splitting the traffic according to your selected percentage.
At the end of the test, only visitors who landed on those **2 products** are included in the results.
This ensures you're comparing identical traffic and getting reliable data.


## Available metrics

The Lift Test dashboard compares both groups across several important metrics.

| Metric | Description |
| ---- |
| **Visitors** | Number of visitors included in each group. |
| **Orders** | Orders placed by visitors in each group. |
| **CR (Conversion Rate)** | Percentage of visitors who completed a purchase. |
| **AOV (Average Order Value)** | Average order value for each group. |
| **RPV (Revenue Per Visitor)** | Average revenue generated by each visitor. |
| **Added Revenue** | Total revenue generated by each group. |


## Understanding the results
While the test is running, you'll see a message such as:

> **Collecting data**
> Not enough data yet — keep the test running to reach a verdict.

This simply means more visitors are needed before reliable conclusions can be made.
Avoid making decisions based on only a handful of visitors or orders.


## Choosing a winner

A campaign should only be considered successful when enough traffic has been collected.
In general:
* Compare the **Adoric** group against the **Control** group.
* Focus primarily on **Revenue Per Visitor (RPV)** and **Average Order Value (AOV)**.
* Also review **Conversion Rate (CR)** to ensure the campaign is not reducing conversions.
* Allow the test to run until a meaningful amount of traffic has been collected before making changes.

If the Adoric group consistently generates higher revenue without hurting conversions, your bundle campaign is likely delivering a positive lift.


## Best practices

* Test one campaign at a time.
* Keep the traffic split consistent throughout the test.
* Let the test run long enough to collect sufficient data.
* Don't stop the test after only a few orders.
* Run tests during normal business activity to get representative results.



## FAQ

### Does Lift Test affect all of my products?
No. The test only includes products where the selected bundle campaign is active.


### Can I choose how traffic is split?
Yes. You can choose the percentage of visitors that will see the Adoric campaign versus the Control group.


### Why are my numbers different from Shopify Analytics?
Lift Test only measures visitors and orders that were eligible for the selected campaign. Shopify reports data for your entire store.


### When should I stop the test?
Stop the test once you've collected enough traffic to confidently compare the Control and Adoric groups. Larger stores may reach reliable results much faster than smaller stores.
