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There’s a good chance you’ve seen “(not provided)” somewhere in your analytics. If you have, then you know it’s associated with your targeted keyword. Google, somewhere along the line, decided to fight keyword spam in its indexes by not providing the metrics that search marketers use to create it. That’s a win for Google.

But a win for Google doesn’t necessarily mean a loss for you. It just means you need to get a little more creative in your analysis.

While Google has closed off a lot of information that you can ascertain from your keyword metrics, one thing they did not close off was metrics associated with your landing pages. Most search marketers associated their landing pages with one or two keywords. If you can measure how much traffic you’ve gained for your landing pages, then you can unwittingly measure how much you’ve gained for the associated keywords.

Granted, it’s a little crafty, but it’s a necessary level of analytical craftiness in this post-Panda world.

Let’s break it down:

  • You have landing pages A, B, and C
  • Landing page A is optimized for keyword 1
  • Landing page B is optimized for keywords 2 and 3
  • Landing page C is optimized for keywords 1 and 4

If your analytics tells you that you got 10,000 unique visits for landing page A, 15,000 unique visitors for landing page B, and 25,000 unique visits for landing page C, then your math problem is: How do these numbers translate into metrics for the associated keywords?

Well, you know you got at least 10,000 UVs for keyword 1. But there’s an X factor. Landing page C also uses keyword 1 and got 25,000 UVs. You can figure this out in one of two ways:

  • You can split the UV down the middle for your keywords, giving 12,500 of them to keyword 1
  • Or you can look at your last known traffic numbers for the associated keywords and split the metric according to that percentage. For example, if your last known traffic measurement for keyword 1 was 15,000 and your last known traffic measurement for keyword 4 was 3,000, then the numbers represent a 5:1 ratio toward keyword 1. What that means is you’ll take your 25,000 UV and divide it by 5. Give 5,000 UV to keyword 4 and the rest to keyword 1.

Doing it this way will yield a 22,500 UV metric for keyword 1 under the first scenario and a 30,000 UV metric for keyword 1 under the second scenario. Is it perfect? No. But it can give you a sense of your relative traffic for each keyword, and it can give you a much better picture than simply blind guessing.

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