Hey, I wanted to export some custom reports for other stakeholders to work with Google Sheets. When pivoting data and aggregating metrics, the numbers are different.
What’s the reason for this? Is something that can be mitigated somehow?
Thanks
Hey, I wanted to export some custom reports for other stakeholders to work with Google Sheets. When pivoting data and aggregating metrics, the numbers are different.
What’s the reason for this? Is something that can be mitigated somehow?
Thanks
@kuba @Piotrek @piotr hey guys, I need to tackle this asap but need confirmation. Could you help me out? Thanks
There’s an approximation algorithm in place for some metrics. Check this article out. Let us know if it’s higher than expected.
Thanks @piotr for helping me out with this
Here is one example for a specific Country so far this month. The final summary should be 2217, the aprox algo works inside and outside the UI?
The main issue with the export right now is the following:
3204 visitors for that period and those dimensions
When I export it, I have way more than 2% aproximation algorithm. This is just one example, but most of the tests that I’ve been doing are around 8-10% more data in sheets.
@piotr do you guys have any extra input for this? Thanks
@Alejandro_Aboy Hi, could you share with me a link to your Piwik PRO instance (in PM or here). I have a hypothesis that I need to confirm.
Hey @Alejandro_Aboy so:
To make it as short as possible - in Piwik PRO UI you will see a number of unique visitors for that range. When you add all the rows in CSV file you will see a number of all visitors, those who come back will be counted twice or more.
Thanks a lot Michal! The best alternative approach would be calling the API definition of a “VisitorID - date - country - channel - visitors - sessions” table and get the unique visitors right?
Visitor ID for the returning clients would be the same as during the first visit so it could help you count unique visitors