Diagnosing and treating revenue fluctuations (Part I)

Tuesday, April 08, 2008

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Once you love your website, you want it to thrive. You create content, manage your community, and keep an eye on your AdSense performance. If AdSense revenue is down, you're understandably concerned. If AdSense revenue is up, you're happy, but you want to know why. Revenue fluctuations are obvious enough when they occur, but the root cause isn't equally clear. It can be challenging for both new and experienced publishers alike to analyze their AdSense data and respond effectively to changes
The goal of this post is to help you understand the AdSense revenue model so you can diagnose and treat revenue fluctuations like an experienced MD.

The first step is knowing how the figures reported in your account (such as eCPM, CTR, and page impressions) interact to describe your total revenue. Think of each number as a variable in the revenue formula for your site. At the highest level, you can calculate revenue by multiplying your page impressions by the effective cost-per-thousand impressions (eCPM) and dividing by 1000.
Revenue = Page Impressions * eCPM / 1000

eCPM = Revenue / Page Impressions * 1000

The eCPM metric provides an estimate of how much revenue you can expect to earn for every 1000 page impressions. For example, if you serve 10,000 page impressions and earn $40, your eCPM is $4. If page impressions increase to 30,000, you can predict that you'll earn $120 given the $4 eCPM.

Most AdSense ads pay on a cost-per-click (CPC) basis, so eCPM is really a measure of your average ad performance. Breaking eCPM into the click-through-rate (CTR) and the average cost that advertisers pay per click (CPC) gives you a more accurate measure of performance.


Revenue = Page Impressions * CTR * average CPC

Once you know your average CTR and your average CPC, you can predict how much revenue you'll earn for a given amount of page views. You can also analyze your revenue by looking at placement-targeted ads VS contextually-targeted ads.

Total Revenue = Revenue (contextual) + Revenue (placement-targeted)

While contextually targeted ads always pay per click, advertisers can pay for placement-targeted ads by impression (CPM) or by click (CPC). To account for both of these bid types, you should look at the average eCPM for placement-targeted ads. More simply, you can just add placement-targeted revenue to your contextually targeted revenue.

Revenue = (Page Impressions (contextual) * CTR * average CPC) + (Page Impressions (placement-targeted) * eCPM (placement targeted) / 1000)

Revenue = (Page Impressions (contextual) * CTR * average CPC ) + Revenue (placement-targeted)

Even though we're looking at contextual and placement-targeted revenue separately, don't forget that these two types of ads compete against each other in the auction. We'll always show the best performing ad, regardless of targeting type, so more competition creates higher winning bids.

Identify the symptoms

Now you're ready to diagnose any revenue fluctuation. Just like the revenue formulas above, let's start simple and gradually get more complex.

The first question to ask is: Did either your page impressions or your eCPM change? You can compare trends in both page impressions and eCPM using the Advanced Reports in your account.



Let's consider your contextual ads first. The two key metrics to investigate are CTR and average CPC. CTR is given in your reports, but you'll need to calculate your average CPC using your favorite spreadsheet. (My favorite goes without saying). Please keep in mind that this is still an average CPC for your account and doesn't necessarily correspond with the price paid by any specific advertiser. Once you've narrowed the change to CTR or average CPC you're ready to start treatment.

For placement-targeted ads, you should analyze how much total placement-targeted revenue you are receiving and the average eCPM. Changes in either of these metrics usually indicate that advertisers are beginning or ending campaigns targeted to your site. Again, placement-targeted campaigns are more likely to be short-term than contextual campaigns.

That's all for today -- now that you have a better understanding of what factors can affect revenue, don't forget to check back later for the second part of this series.

Genius Blogger

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