I’ve had a look at this a couple of times already, but now I am re-thinking the way I will go forward with this site/blog and doing some Content Planning, this is an interesting resource: Google trends.
Based on keywords you put in, it displays the historical searches in Google on that keyword. After putting in the main keywords of my site, I find these results:
This graph, including the forecasted bit clearly shows the decline in one of my main topics; Lotus Notes. This is strange, because until now, this is the topic that generates most visits on this site.
However, these trends are based on Google search queries and not on the links people click on. Meaning that even though there are less and less people searching for lotus notes, if there is little information available (small amount of quality search results) there is a larger chance that they will end up on my blog, than when people search for example for SharePoint where many people write about and loads of information is available.
Some data from a quick Google Search would give us the following:
- Sharepoint: Forecasted on 68 in April, About 91,100,000 results
- Lotus Notes: Forecasted on 8 in April, About 32,200,000 results
- Mindstorms: Forecasted on 4 in April, About 5,810,000 results
- Intranet: Forecasted on 94 in April, About 103,000,000 results
- Pinhole: Forecasted on 3 in April, About 12,000,000 results
Taking these numbers, and splitting the amount of results by the amount of searches, would give us a more realistic indicator on how my topics would do in April (taking a few things out of the equation, like paying for ads or sudden events affecting these queries).
- Sharepoint: one in 1.339.705 searches
- Lotus Notes: one in 4.025.000 searches
- Mindstorms: one in 1.452.500 searches
- Intranet: one in 1.095.744 searches
- Pinhole: one in 4.000.000 searches
The smallest numbers in this list would be the topics with most positive results. In order of quality:
As you can see this ranking slightly differs from the above trend graph. The trend graph does however show what topics are rising and which ones are declining. Using the above calculation you can quite easily do some Content planning and more or less figure out when writing about a certain topic will become more interesting for you and when not.