tl;dr
You can now use Klar to analyze your A/B Testing results.
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.
This feature enhances Klar's existing insights into your cost structure and customer retention by integrating them with your A/B Testing results.
Integration
ABLyft
If you use ABlyft, simply select the Klar integration under 'Default Integrations.' By doing so, all events sent to ABlyft will automatically be shared with Klar—no additional setup required.
All other tools
You can easily integrate other tools by sending the A/B Test information to our pixel. Here's how:
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
window._k_q = window._k_q || [];
window._k_q.push(["Klar:sendUpdateABGroupEvent", {
projectName: "AB1", variantName: "V1", experimentName: "E2"
}]);
Fields you need to pass
projectName
String value is expected here
The name of your project (e.g. ‘Product Page’), think of this as an over-category for your experiments
experimentName
String value is expected here
The name of your experiment (e.g. ‘Prominent Price Reduction Display’)
variantName
String value is expected here
The name of the variant here (e.g. ‘Control’ or ‘Variant 1’)
How the reporting works
You can view your A/B Test results across three dimensions: Project Name, Experiment Name, and Variant Name.
Drill-Down Functionality:
Clicking on a Project Name drills down to the Experiment Name level, showing all experiments within that project.
Similarly, clicking on an Experiment Name drills down to the Variant Name level, displaying all variants within that experiment.
Flexibility: You can switch between these levels without needing to drill down sequentially.
Good-to-Know
A customer can be a part of multiple experiments, but can only be part of one variant per experiment
If a customer is part of multiple variants inside an experiment, we'll allocate the order to the one closest to the order date