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  • How can I accurately filter event count to reflect the total number of events?

    Posted by Pham on 20 September 2022 at 11:54 pm

    Hey, so I’ve been working on creating a specific report for my client. It was supposed to show the name of the PDF file and how many times it got downloaded on the website. Yet, I’m running into some trouble. I was expecting the total event count to match the number of files downloaded, but that’s not the case. For instance, even if there are only 10 file downloads, the event count strangely shows 1000!

    I’ve set my segment to include users when: a file is downloaded and the file extension is a PDF. From there, I’ve used “Link Text” as a dimension to note the name of the downloaded PDF file. This info feeds into each row of my output table. Meanwhile, my metric for capturing the download events for the PDF files is their “Event count”.

    Now the problem is, the first row of my table displays the entire number of events in the “Event count” but it’s not accurate anymore. The second row shows the filename and the number of times it was downloaded within the identified time frame.

    Can you suggest anything that can help me get the correct number of download events?

    Presley replied 11 months, 1 week ago 3 Members · 2 Replies
  • 2 Replies
  • Aaron

    Administrator
    3 March 2023 at 7:26 am

    Sure, here’s a simpler explanation. The issue you’re seeing is because the first row is counting all events – not just downloads. To fix this, you’ll want to add an extra filter. This filter should be set to specifically look at ‘file_download’ events. That way, your event count should only register a hit when there’s an actual download of the PDF file.

  • Presley

    Member
    5 May 2023 at 3:39 am

    It sounds like you might be capturing all events, not just the specific file downloads you want. Try adjusting the segment to filter out “Event count” that aren’t tied to the PDF downloads. You could also double-check that “Link Text” corresponds only to the PDF downloads. Testing with a smaller number of known downloads might help pinpoint where the mismatches are happening. Remember, aim for precision, not just a high event count!

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