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What data does Tangiblee need to run and analyze A/B tests when using non-Google Analytic tools?

Last Updated:
May 12, 2026

Tangiblee relies on Google Analytics (GA) to run and analyze A/B test results.

However, if your team does not use GA and instead relies on tools such as Tableau, Amazon S3, or Adobe Analytics, we ask that you export the data into sheets that follow the structure outlined below. This ensures we can accurately analyze your test results.

Device Browser Variation (TNG ON/OFF) Date Transaction ID Product Name Product ID Product Revenue User ID
Mobile Google Chrome ON 4/7/2026 0000 Example 0000 $1000 000
Device Category (Mobile, Desktop, Tablet) Browser Variation (TNG ON/OFF) Date User ID Session Count
Desktop Safari OFF 1/1/23 0000 0000

We recommend exporting these reports daily to ensure timely, accurate analysis of A/B test performance.

This additional analysis allows us to filter out noise from both users and data. To minimize such “noise,” we include only users who have visited a Product Detail Page (PDP) of a product supported by Tangiblee — where Tangiblee can have a measurable impact (positive or negative) on the user journey.

For further details or best practices regarding our A/B testing methodology, please contact your Account Manager.

A/B testing data, non Google Analytics, test measurement, conversion data, experiment setup, analytics requirements

Learn how non-GA A/B testing data requirements works so your team can interpret metrics, validate tracking, and measure usage or conversion correctly. The guide explains the key reports, definitions, and setup details behind the data.

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