Gustavo-Woltmann
Restricted (50-70%)
- Impact
- 40
Article CTRs play a huge role in determining what ranks or not.
Let’s say your article ranks #4 with a CTR of 15%. Google benchmarks this CTR with the average CTR for the position.
If the average CTR for position #4 is 12%, Google will assume that your article, with a CTR of 15% is of high quality, and will reward you with better rankings.
On the other hand, if the average CTR is 18%, Google will assume that your article isn’t as valuable as other ranking content pieces, and will lower your ranking.
So, it’s important to keep track of your Click-Through Rates for all your articles, and when you see something that’s underperforming, you can test different headlines to see if they’ll improve CTR.
Now, you’re probably wondering, how do you figure out what’s the average CTR?
Unfortunately, each search result is different, and there's no one size fits all formula for average CTR.
Over the past few years, Google has been implementing a bunch of different types of search results - featured snippets, QAs, and a lot of other types of search results.
So, depending on how many of these clutter and the search results for your given keyword, you’ll get different average CTRs by position.
Rule of thumb, you can follow these values:
Use a scraping tool like Screaming Frog to extract the following data from all your web pages:
Now, check what your competition is doing and use that to come up with new headline ideas. Then, put them in the Title Ideas cell for the respective keyword.
For each keyword, come up with 4-5 different headlines, and implement the (seemingly) best title for each article.
Once you implement the change, insert the date on the Date Implemented column. This will help you keep track of progress.
Then, wait for around 3 - 4 weeks to see what kind of impact this change is going to have on your rankings and CTR.
If the results are not satisfactory, record the results in the respective cells, and implement another test for the following month. Make sure to update the Date Implemented column once again.
Gustavo Woltmann.
Let’s say your article ranks #4 with a CTR of 15%. Google benchmarks this CTR with the average CTR for the position.
If the average CTR for position #4 is 12%, Google will assume that your article, with a CTR of 15% is of high quality, and will reward you with better rankings.
On the other hand, if the average CTR is 18%, Google will assume that your article isn’t as valuable as other ranking content pieces, and will lower your ranking.
So, it’s important to keep track of your Click-Through Rates for all your articles, and when you see something that’s underperforming, you can test different headlines to see if they’ll improve CTR.
Now, you’re probably wondering, how do you figure out what’s the average CTR?
Unfortunately, each search result is different, and there's no one size fits all formula for average CTR.
Over the past few years, Google has been implementing a bunch of different types of search results - featured snippets, QAs, and a lot of other types of search results.
So, depending on how many of these clutter and the search results for your given keyword, you’ll get different average CTRs by position.
Rule of thumb, you can follow these values:
- 1st position -> ~31.73% CTR
- 2nd pos. -> ~24.71%
- 3rd pos. -> 18.66%
- 4th pos. -> 13.60%
- 5th -> 9.51%
- 6th -> 6.23%
- 7th -> 4.15%
- 8th -> 3.12%
- 9th -> 2.97%
Use a scraping tool like Screaming Frog to extract the following data from all your web pages:
- Page title
- Page URL
- Old Headline
- CTR (28 Day Range)
- Avg. Position
Now, check what your competition is doing and use that to come up with new headline ideas. Then, put them in the Title Ideas cell for the respective keyword.
For each keyword, come up with 4-5 different headlines, and implement the (seemingly) best title for each article.
Once you implement the change, insert the date on the Date Implemented column. This will help you keep track of progress.
Then, wait for around 3 - 4 weeks to see what kind of impact this change is going to have on your rankings and CTR.
If the results are not satisfactory, record the results in the respective cells, and implement another test for the following month. Make sure to update the Date Implemented column once again.
Gustavo Woltmann.
