Ad Unique Clicks

Date created: Jun 19, 2019  •   Last updated: Oct 15, 2020

What is Ad Unique Clicks?

Ad Unique Clicks is a count of the number of people who clicked on your digital advertisement at least once. This is different than Ad Clicks or Total Clicks, because this is a count of the unique people who clicked.

Formula

ƒ Count(Unique Ad Clicks)

How to calculate

Imagine you have an ad in-market and people have started to click on it. You may see data that looks like this: Ad 1: Total Clicks: 14,000 Unique Clicks: 10,000 This means that your ad has been clicked a total of 14,000 times by 10,000 different people.

Ad Unique Clicks

Start tracking your Ad Unique Clicks data

Use Klipfolio PowerMetrics, our free analytics tool, to monitor your data. Start tracking your Ad Unique Clicks instantly.

How does this work?

Follow the steps below in order to get your instant metric

Step 1 - Choose your preferred service
Step 1Choose your preferred service
Step 2 - Create your free Klipfolio PowerMetrics Account
Step 2Create your free Klipfolio PowerMetrics Account
Step 3 - Connect your data and get your metric instantly
Step 3Connect your data and get your metric instantly

More about this metric

There are a few things to keep in mind when evaluating Unique Clicks. A browser cookie is usually used to determine Unique Clicks. This means that if you have clicked on an ad, the ad network (like Facebook) has registered that you have clicked. If you click again, it would still count you as a single unique click unless the cookie has expired or been removed. As a result of this, it is possible for some Unique Clicks to be double counted. It is also possible that you could be double counted if you click on a specific ad on your phone and then click on that same ad from your laptop.

This is still a very valuable metric to track, especially when you are tracking performance on smaller ad networks. If you are seeing a large, suspicious discrepancy between your Total Clicks and Unique Clicks then you may want to investigate the potential of ad fraud or inflated data.