In 2014, with Google’s search results pages being randomly filled with different types of listings, it is close to impossible to predict what will catch the reader’s eye.
How many clicks will the first listing get? How about the second? But what if ads are listed at the top of the page? What if the user is searching from mobile? What if the user is looking for a specific brand? What if the user is having a buying intent?
And the “what if”s can go on forever.
But, as marketers, as SEOs, we need the answers to these “what if”s. We need data to prove ROI. You might actually say that data is the only way we can prove ROI.
So, trying to answer all these questions and to collect the data we are so much yearning for, the Advanced Web Ranking team recently performed a study on Google organic CTR for the month of July 2014.
The study was presented yesterday at SMX East 2014 by Philip Petrescu, the CEO of Caphyon. No worries if you missed the presentation though, be sure to check out the slides or download the original study in PDF format.
In this study, you will find:
- How Google organic CTR has evolved over time, as compared to previously conducted studies.
- How user device influences organic CTR on Google (desktop vs mobile)
- How different types of ads are impacting organic CTR
- How organic CTR varies depending on the type of query (branded vs unbranded) and search intent (informational, commercial, location)
- Google organic CTR variations for head terms vs. long tail queries
So, waste no more time and download the Google Organic CTR Study 2014 now!
As a BONUS, you will also get access to the complete data set behind the study that will enable you to perform your own further CTR research. Cool, right!?
And, wait, there is MORE!
You can also access all the data we have processed in this study through the new and free Google Organic CTR History tool. This new tool allows you to see how organic click-through rates change over time, in relation to all the factors investigated throughout the study.
The tool is especially useful for evaluating trends or determining the CTR changes on particular time periods such as the holiday season.
We will be constantly adding new data segments and insights on how different features that may appear in the SERP affect the CTR.
Is there something in particular you would like to see included in this study?
Let us know your thoughts in the comments below!