Use your customers' tracking data correctly

[Mitu100@]

The problem with using tracking data is that as a small business you quickly lose sight of the forest for the trees.

Sure, it's cool to know that a lead clicked on a certain ad before visiting your website and was there three weeks ago and typed in the phrase "how to capture customer data correctly." But does that really help you sell your service?

It's just as cool to segment your target groups and then serve them with different content. But try telling that to your 32-hour marketing specialist who is already fully occupied with your site's SEO. With tracking data, even more than with any other customer data, the expected workload when using it is the biggest challenge.

Of course, workload issues chile telegram screening are changing as AI becomes more popular in the content space . But until it becomes clearer how much Google and other search engines devalue AI-generated content compared to content written by humans, you shouldn't start maintaining SEO-critical pages exclusively with AI content.

In a small company, you will quickly reach the point where marketing is happy about the tracking data, but cannot really do anything with it due to overload.

Long story short - here are the tracking data we consider to be the most important :

Session Time
bounce rate
visits
Views per Visit
Source, medium and campaign (we solve via UTM parameters)
Have you noticed? This is all data that does not need to be tracked on a personal basis. When we moved our website, we decided to operate a website with cookieless tracking and since then we no longer use Google Analytics, but the SEO tool Plausible .

Less is more. Consider your team's actual workload and write down the questions you really need to move forward. Simply collecting tracking data "for the sake of data" will not help your business.

Marketing specialist is happy about customer data.
Correctly recorded customer data ensures joy in everyday work.
3. The practice: customer data correctlycapture
When collecting customer data, good preparation is just as important as careful checking . So you need to invest effort before and after to ensure that the data is correct.