Part 2 - Understanding EPC

Part 2 - Understanding EPC

This is the second article in the series that unpacks Earnings Per Click (EPC). Click here if you wish to reach Part 1. The previous article covered the basics in how EPC is calculated while this one goes in depth into what actually lays at the heart of EPC.


So now we have an approximation for the EPC and the formula will look like.

EPC = (Total Revenue Over a Period of Time)  /  (No. Clicks x Parking Company Filter)

This is great but we have forgotten the other side of the whole equation. An Earnings Per Click for the domain owner is a Cost Per Click (CPC) for the advertiser. How much they will pay for each click will be dependent upon their business models and ultimately conversion rates.

If I’m an advertiser and I need 10 clicks at $1 each to make a sale and I make $20 for every sale, then I’m happily making money. But if the online auction for the traffic increases to $2 per click then my advertising is costing $20 and I’m making $0.

In a perfect world where everyone has the identical conversion rate, the advertiser with the lowest cost base will ultimately be able to outbid their competitors. It just so happens that we don’t live in a perfect world and many advertisers have widely varying margins that they can expend upon buying traffic.

Assuming economically rational advertisers (they aren’t always) we can then simplify what an advertiser is willing to pay for a click down to the following equation:

p=  Am  S  C


p= maximum price per click

Am = Advertiser gross margin on the goods/service being sold

S = total value of the sale

C = Conversion rate (0 to 100%)

What this formula suggests is that in market verticals with large margins the EPC should trend higher. We see this as domain investors know the “Sale Value” of a mortgage lead is much higher than a computer games lead, so the EPC for mortgage traffic is much more valuable. Remember we are talking about EPC rates and not revenue at this stage…..revenue will also depend upon the click through rate.

By adding the conversion rate into the equation, we can clearly see why Google wants conversions to be as high as possible. The higher the conversion rate, the higher an advertiser can bid for traffic. I read in a forum recently that Google doesn’t care about the conversion rate…..this formula debunks that theory and provides an economic rational why Google wants higher conversions.

Ideally for a domain investor we want high traffic domains in market verticals that have big margins and large sale prices. Sadly, these are few and far between…

So we now know what an advertiser is willing to pay for a click but what’s our percentage? If we were to simplify the whole advertising auction system, then the formula for revenue now looks like the scary one below.

EPC forumla


p= Price advertisers pay per click
f(p)= p x Advertising clicks
G= Google margin
Mg = Additional Google tier margin
T = Tag smart pricing
M= Monetisation company margin

What does this complicated equation actually mean? Once you get past the sigma notation (ie. Sum) you have a function which is essentially what an advertiser pays for a click multiplied by the number of clicks.

The (1 – G) is the Google margin and the “T” is some “smart pricing” factor that is applied to the tag that your particular account at a parking provider happens to be on. The (1 + Mg) is the increase in margin due to the Google tiers that a particular parking company may be on….this typically has a very small impact on the results. The (1 – M) is the margin taken by the parking provider. This will then become the numerator for the EPC equation.

The sigma or sum just means sum all of the revenue earned for all of the values of "p" for the function f(p). In other words, just add up all of the revenue. So let's move on.....

The denominator (ie. Number of clicks) is different to the advertising clicks. This is where it can get a little tricky. An advertiser may still pay for a click but it is still not registered as a click in a parking company interface due to their filters. By rights, the revenue should still flow through (fingers crossed) but the clicks may not.

The question domain investors should ask is what can they influence in the equation? Assuming Google has the targeting right (they don’t always) then there isn’t that much at a single parking provider. If you’re big enough you can squeeze parking company margins but other than that an individual domain owner typically neither has the scale nor the technology to take advantage of other optimisation solutions. Don’t worry…..there is light at the end of the tunnel.

A few things should be said…..given the volatility of the domain parking market the parking companies do not have any spare margin to hand around to domain owners. In other words, there isn’t some secret slush fund that any of them have. If this were the case, then it would come out and as soon as they paid out with the slush fund it would be soaked up as domain owners migrate their traffic across to them. It’s the market at work….

On a personal note, as one of the founders of ParkLogic I've found that getting underneath the mathematics really provides dividends for clients. Understanding the maths and coming to grips with the fact that its constantly changing ís one of the reasons why large domain investors utilise our service.

In the next article I will go through the opportunities and pitfalls that understanding EPC presents for domain investors.

Greenberg and Lieberman

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