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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 データ, non Google 分析, テスト measurement, conversion データ, experiment 設定, 分析 要件

non-GA A/B testing データ 要件の仕組みを理解し、指標の意味、トラッキングの妥当性、利用状況やコンバージョンの見方を整理できる記事です。主要レポート、定義、設定上の注意点をまとめて確認でき、分析の解釈や改善判断を進めやすくします。実務で迷いやすい項目も要点から把握できます。導入前に確認すべきポイントも補足しています。関係者間のすり合わせにも役立ちます。公開準備の判断材料としても使えます。

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