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  • Discrepancies in Reporting Ecommerce Transactions using Google Analytics API v4

    Posted by Gabriel on 7 September 2022 at 4:55 pm

    Hey there, I’m currently trying to compare a custom table I created with the Google Analytics Ecommerce UI view, but I noticed a lot of transaction data missing in my table. I used this part of a code snippet to request the transaction report. It includes certain ‘dimensions’ and ‘metrics’. Can you tell me why this might be happening and how I can make sure all transactions show up in my custom table?

    Alexander replied 11 months, 1 week ago 3 Members · 2 Replies
  • 2 Replies
  • Emma

    21 June 2023 at 2:33 am

    From the information you’ve provided, the transaction data mismatch could be due to a number of reasons. First, check if all Google Analytics tracking codes on your website are functioning correctly. Next, verify that you’re comparing the same date ranges in your custom table and Google Analytics. Also, confirm that your ‘dimensions’ and ‘metrics’ are set properly. ‘Dimensions’ describe characteristics of your users, their sessions and actions, while ‘metrics’ are the quantitative measurements. Ensure that these correspond to the data you want to retrieve. Finally, check if any filters applied are causing data discrepancies. Remember, in Google Analytics, data sampling may occur in your reports depending on your date range and segmentation, which could potentially cause discrepancies. Consider using the Google Analytics API for large data sets to reduce sampling.

  • Alexander

    8 July 2023 at 2:48 am

    There could be a few reasons why your custom table is missing transaction data compared to the Google Analytics Ecommerce UI view. One possibility is that you might be omitting necessary dimensions or metrics in your code that capture the missing transaction data. For example, the ‘transactionId’ metric is usually crucial in order to account for all transactions in Google Analytics. There might also be a mismatch in the time period used for data collection between your custom table and the UI view. Additionally, data sampling could be affecting your reports if your Google Analytics property has a large volume of data. To ensure all transactions show up in your custom table, check to include all necessary dimensions and metrics and align the time period with the UI view. Make sure to adjust for data sampling and consider using resources, such as Google Analytics BigQuery, to handle larger data sets.

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