Frequency Cap Analysis

In this section, you'll find an overview of all paid clicks and conversions generated by your advertising campaigns.

Itzayana Rodríguez avatar
Written by Itzayana Rodríguez
Updated over a week ago

To navigate to this section, click on Fraud Impact > Frequency Cap.

Here, you can get an overview of all paid clicks and conversions. Keep in mind that to visualize this data, you'll need to install our conversion tag. You can find the steps in this link.

We highly recommend this installation because it enables accurate conversion tracking, providing invaluable insights into the effectiveness of your advertising efforts. With the conversion tag in place, you'll be able to measure the impact of your campaigns with precision.

  1. You can use these filters to view specific information about any tracker, Ad Network, domain, or segment.

  2. In this section, you can select a specific date range to obtain insights based on that date.

In this second part, we dive deeper into the frequency data, providing a more detailed breakdown. Here, you'll find insights into the number of users generating specific frequencies – essentially, how many clicks per user (clicks per user) – along with paid clicks and paid conversions.


Let's take a closer look at the frequency data. Imagine we have an average of 4 clicks per user. This means that out of the 30,603 users engaging with our ads, each user clicks on our ads approximately 4 times on average. Now, let's talk numbers – those clicks translate to 698,703 paid clicks, showing strong interest and engagement from your audience. But here's where it gets exciting – out of those clicks, 28,216 have resulted in paid conversions. That's a remarkable 10.66% conversion rate, meaning over one-tenth of your clicks are turning into valuable actions like purchases or sign-ups.

What about the Cumulative Conversion Rate?

The Cumulative Conversion Rate is the cumulative conversion rate based on the total number of clicks made by a user. It shows how the likelihood of conversion changes as the user interacts more, differing from the standard conversion rate which measures conversions per individual click.

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