Am I interpreting the data I am looking at correctly?
Posted: Sat Jan 18, 2025 10:30 am
Let’s assume that all the data is being collected correctly, but still the data in your reports just doesn’t make any sense. Interpreting the data incorrectly is an easy trap to fall into, it can be quite confusing and make absolutely no sense at all.
I’ll give 2 examples to highlight what I mean. If something isn’t making sense, it might be time to do a bit more research to make sure you fully understand what you are looking at.
Example 1 – Daily Engaged Users and Monthly Engaged Users on a mobile app
If you look at the 2 reports side by side and over the same period timor leste email list 7806 contact leads of time, the Daily Engaged Users report will have a larger number than the Monthly Engaged Users report.
Following is an example where the Daily Engaged Users is approximately 1 million and Monthly Engaged Users is approximately 130 000:
NewImage
If you know how the counting for these 2 reports occurs then it all makes sense, if you don’t though then it is just plain confusing.
So how does the counting work?
For Daily Engaged Users the number for each day is accrued, then totalled for the date range selected. As an example let’s say there is 22 000 Daily Engaged Users per day for the month of July. When each day is totalled it comes to 682 000 for the month.
So if I used the app on the 6 July, it would count as 1 for the Daily Engaged Users for that day, and 1 for the Monthly Engaged Users. If I use the app again on July 8, the Daily Engaged Users would count 1 for that day, and increment to 2 for the month. The Monthly Engaged Users would not increment and would still be 1 as it only counts unique users for the month. So once you understand how the reports are counting, it all falls into place and makes sense.
Example 2 – Viewing data from a segment where the referring domain is facebook.com
This example also relates to data in Reports & Analytics.
The scenario follows:
A facebook referrals segment at the visit level is setup (i.e. include referring domain contains facebook.com) as we just want to see facebook.com as the referring domain.
I’ll give 2 examples to highlight what I mean. If something isn’t making sense, it might be time to do a bit more research to make sure you fully understand what you are looking at.
Example 1 – Daily Engaged Users and Monthly Engaged Users on a mobile app
If you look at the 2 reports side by side and over the same period timor leste email list 7806 contact leads of time, the Daily Engaged Users report will have a larger number than the Monthly Engaged Users report.
Following is an example where the Daily Engaged Users is approximately 1 million and Monthly Engaged Users is approximately 130 000:
NewImage
If you know how the counting for these 2 reports occurs then it all makes sense, if you don’t though then it is just plain confusing.
So how does the counting work?
For Daily Engaged Users the number for each day is accrued, then totalled for the date range selected. As an example let’s say there is 22 000 Daily Engaged Users per day for the month of July. When each day is totalled it comes to 682 000 for the month.
So if I used the app on the 6 July, it would count as 1 for the Daily Engaged Users for that day, and 1 for the Monthly Engaged Users. If I use the app again on July 8, the Daily Engaged Users would count 1 for that day, and increment to 2 for the month. The Monthly Engaged Users would not increment and would still be 1 as it only counts unique users for the month. So once you understand how the reports are counting, it all falls into place and makes sense.
Example 2 – Viewing data from a segment where the referring domain is facebook.com
This example also relates to data in Reports & Analytics.
The scenario follows:
A facebook referrals segment at the visit level is setup (i.e. include referring domain contains facebook.com) as we just want to see facebook.com as the referring domain.