How to approach your Hello Bar analyses
Posted: Sun Apr 06, 2025 4:11 am
With our comprehensive analytics tracking in the Analyze tab of your Hello Bar dashboard, you can better track the performance of your pop-ups over time. With our latest update, you can now sort your data by time periods. Whether by week, month, or a custom date range, you can view your analytics however you like.
understand-your-analyses
As you can see, this chart illustrates the performance of a set of pop-ups during the month of December 2018. There are a few things to learn here - and I recommend viewing your own pop-ups with the same detective approach (in your ETL Pipeline ) to really understand what your data is telling you.
To begin with, you'll notice that the number of conversions decreases towards the end of the month. Around December 22nd, there's a significant drop in conversions.
When looking at the data, this is definitely something to look at. Whenever mom database you see a deviation from the normal trend, you should take note and consider what might be happening.
In this case, the variation—a drop in conversions—occurs from December 22nd to 25th. Given the proximity of the Christmas holidays, it seems pretty obvious that this drop is due to people taking time off from work to spend time with their families.
Another aspect of the data that stands out is the periodic dip and spike that seem to occur fairly consistently (notice those first three bumps!). By matching the dates to the days of the week, we see that these conversion spikes correspond to workweek days, and the conversion drops occur during the weekend. Just by looking at the analytics trends, we discovered a few things: 1) our target audience isn't very interested in interacting with our site during the holidays, and 2) our target audience is more active during the workweek.
understand-your-analyses
As you can see, this chart illustrates the performance of a set of pop-ups during the month of December 2018. There are a few things to learn here - and I recommend viewing your own pop-ups with the same detective approach (in your ETL Pipeline ) to really understand what your data is telling you.
To begin with, you'll notice that the number of conversions decreases towards the end of the month. Around December 22nd, there's a significant drop in conversions.
When looking at the data, this is definitely something to look at. Whenever mom database you see a deviation from the normal trend, you should take note and consider what might be happening.
In this case, the variation—a drop in conversions—occurs from December 22nd to 25th. Given the proximity of the Christmas holidays, it seems pretty obvious that this drop is due to people taking time off from work to spend time with their families.
Another aspect of the data that stands out is the periodic dip and spike that seem to occur fairly consistently (notice those first three bumps!). By matching the dates to the days of the week, we see that these conversion spikes correspond to workweek days, and the conversion drops occur during the weekend. Just by looking at the analytics trends, we discovered a few things: 1) our target audience isn't very interested in interacting with our site during the holidays, and 2) our target audience is more active during the workweek.