tl;dr
Connect your A/B testing tool to Klar to analyse experiment results directly in the platform.
With this report, you'll be able to evaluate how many orders each test is driving and the Customer Lifetime Values (CLVs) of the customers acquired through these tests.
Results are broken down by Project, Experiment, and Variant — letting you drill from a broad test category down to individual variants.
Integration
ABLyft
If you use ABlyft, select the Klar integration under Default Integrations. All events sent to ABlyft will automatically be shared with Klar — no additional setup required.
All other tools
Send A/B test events to the Klar Pixel using the method that matches your implementation:
Pixel Using Shopify Customer Events:
Shopify.analytics.publish("Klar:sendUpdateABGroupEvent", { projectName: "AB1", variantName: "V1", experimentName: "E2" })
Shopify Webpixel Sandbox
api.analytics.publish("Klar:sendUpdateABGroupEvent", { projectName: "AB1", variantName: "V1", experimentName: "E2" })
All other Pixel implementations
<script>
window._k_q = window._k_q || [];
window._k_q.push(["Klar:sendUpdateABGroupEvent", {
projectName: "AB1", variantName: "V1", experimentName: "E2"
}]);
</script>
Fields you need to pass
Replace the example values in the code snippets above with your own. All three fields are required strings:
Field | Description | Example |
| The top-level category grouping your experiments — think of it as the page or area being tested. |
|
| The name of the specific experiment. |
|
| The variant the customer was assigned to. |
|
How the reporting works
Results are organised across three dimensions: Project Name, Experiment Name, and Variant Name.
Click a Project Name to see all experiments within it. Click an Experiment Name to see all its variants. You can jump between levels directly — no need to drill down step by step.
Good-to-Know
💡
A customer can be part of multiple experiments, but only one variant per experiment.
If a customer is assigned to multiple variants within the same experiment, Klar allocates the order to the variant closest to the order date.