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How do we calculate your click fraud savings through our click fraud protection tool?

The most important element within your click fraud reports is the saved counter. In a nutshell, this calculates how much money you have saved by using our click fraud protection software.  

Click Fraud Protection Tool Savings

But how do we come about this number?

We aim to provide you with the most accurate value possible so you can attribute a R.O.I. figure to this software, so here’s how we do it:

When a click is detected to be fraudulent and blocked, the cost of that click has not been saved – because the click has already occurred!

We then analyse that click in detail, taking into account over 100 factors, paying particular attention to:

  • IP address
  • Geo-location
  • User agent
  • The keyword the fraud occurred on

We use this analysis as well as with data from our ever-growing database and a range of 3rd party tools and datasets, to determine how often this IP would have clicked on one of your ads had it not been detected and blocked. This also takes into account the fraud rates within your specific industry and in your country over the past 30 days, giving the most up to date estimate possible.

As soon as we have determined how often this IP would have clicked had it not been blocked, we multiply that value by the CPC of the keyword that the fraudulent IP was clicking.

For example, if an IP fraudulently clicked for the keyword “PPC Management” at a CPC of £3, and this IP would have clicked 4 times, then we arrive at a saving of £12.

The saved amount is what the lifetime value saving of that IP address being blocked.

Whilst this is an estimation, the saved figure is currently calculated with a 90% confidence rating. We are continually improving this factor and as our database of fraudulent activity continues to grow, so does our ability to accurately measure the amount saved using our tool.

If you are still unsure, then please contact your PPC Account Manager at Mabo who will be happy to answer any questions you may well have.

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Click Fraud
Post by James Lees
November 12, 2018