When looking at data, it's certainly something to investigate
Posted: Wed Feb 12, 2025 4:46 am
As you can see, this chart shows the performance of a set of pop-ups for the month of December 2018. There are a few things to learn here – and I recommend looking at your own pop-ups with the same detective approach (in your ETL pipeline ) to really understand what your data is telling you.
For starters, you'll notice that conversions drop off towards the end of the month. There's a significant drop in conversions right around December 22nd.
Anytime you see a deviation from a normal trend, you want to take note of it and think twitter database about what might be going on.
In this case, the deviation – the drop in conversions – occurs from December 22 to December 25. Given the proximity of the Christmas holiday, it seems pretty obvious that this drop is due to people taking time off from work to spend it with their families.
Another aspect of the data that catches our attention is the periodic dip and spike that seem to occur fairly evenly (note those first three bumps!). When we map the data to days of the week, we see that these spikes in conversions correspond to weekdays, and the dip in conversions occurs during the weekend. Just by looking at the trends in the analysis, we learned a few things – 1) our target audience is not very interested in interacting with our site during the holidays, and 2) our target audience is most active during the workweek.
That's a lot more information than we started with! And we can definitely use it to inform our future marketing decisions.
For example, now that we know that people aren't nearly as active during the holidays as they are on other days—especially during the regular workweek—we know that running a special holiday sale doesn't make much sense. We simply wouldn't have a engaged audience.
On the other hand, if we wanted to make an announcement or promote a sale, we now know that weekdays are the day to do it. We can make informed decisions about when to make the best marketing efforts to achieve the best results.
data-inform-marketing-decisions
Depending on your industry, this graph can look very different. If you run an e-commerce business, you may see a spike in traffic on weekends or around the holidays when people are eager to spend on gifts and presents. Or, if you’re in the B2B space, you may see no traffic at all during these times.
To really know what’s best for your business in terms of marketing, you’ll need to look at your analytics and think about the reasons behind peaks or troughs in your data. For example, did you run a particular ad campaign around the same time you were getting a lot of new conversions on Hello Bar? Or maybe your website went down for a day and that was associated with a drop in results.
Tracking all of these events and then seeing how they affected the performance of your pop-ups will be your golden ticket to success on Hello Bar. Check out your analytics now!
For starters, you'll notice that conversions drop off towards the end of the month. There's a significant drop in conversions right around December 22nd.
Anytime you see a deviation from a normal trend, you want to take note of it and think twitter database about what might be going on.
In this case, the deviation – the drop in conversions – occurs from December 22 to December 25. Given the proximity of the Christmas holiday, it seems pretty obvious that this drop is due to people taking time off from work to spend it with their families.
Another aspect of the data that catches our attention is the periodic dip and spike that seem to occur fairly evenly (note those first three bumps!). When we map the data to days of the week, we see that these spikes in conversions correspond to weekdays, and the dip in conversions occurs during the weekend. Just by looking at the trends in the analysis, we learned a few things – 1) our target audience is not very interested in interacting with our site during the holidays, and 2) our target audience is most active during the workweek.
That's a lot more information than we started with! And we can definitely use it to inform our future marketing decisions.
For example, now that we know that people aren't nearly as active during the holidays as they are on other days—especially during the regular workweek—we know that running a special holiday sale doesn't make much sense. We simply wouldn't have a engaged audience.
On the other hand, if we wanted to make an announcement or promote a sale, we now know that weekdays are the day to do it. We can make informed decisions about when to make the best marketing efforts to achieve the best results.
data-inform-marketing-decisions
Depending on your industry, this graph can look very different. If you run an e-commerce business, you may see a spike in traffic on weekends or around the holidays when people are eager to spend on gifts and presents. Or, if you’re in the B2B space, you may see no traffic at all during these times.
To really know what’s best for your business in terms of marketing, you’ll need to look at your analytics and think about the reasons behind peaks or troughs in your data. For example, did you run a particular ad campaign around the same time you were getting a lot of new conversions on Hello Bar? Or maybe your website went down for a day and that was associated with a drop in results.
Tracking all of these events and then seeing how they affected the performance of your pop-ups will be your golden ticket to success on Hello Bar. Check out your analytics now!