The 10 Most Common Errors in Content Audits.
Many can fall for cheap #SEO advice and get nothing.
I've audited small and large content websites to develop profitable processes.
This thread is for you ๐งต
Many can fall for cheap #SEO advice and get nothing.
I've audited small and large content websites to develop profitable processes.
This thread is for you ๐งต
1. Only using one data source to delete articles.
If your website is using multiple channels, you should have other data than GSC.
Wait if one article has 0 clicks but high engagement on Facebook?
Guru advice says to delete it, I would never do that.
If your website is using multiple channels, you should have other data than GSC.
Wait if one article has 0 clicks but high engagement on Facebook?
Guru advice says to delete it, I would never do that.
2. Using Google Analytics as your bible.
The average GA user looks at sessions or users that are hard to convert into actions.
I'd rather check Search Console first and get the unique query count.
Thinking in terms of queries is an additional step that will save you later.
The average GA user looks at sessions or users that are hard to convert into actions.
I'd rather check Search Console first and get the unique query count.
Thinking in terms of queries is an additional step that will save you later.
3. Audit = Checklist.
Super wrong, even though there's no official consensus.
Audits should contain actionable advice and explain how to fix relevant problems.
It shouldn't list every pattern or recommend nonsense fixes.
Super wrong, even though there's no official consensus.
Audits should contain actionable advice and explain how to fix relevant problems.
It shouldn't list every pattern or recommend nonsense fixes.
4. Focusing on vanity metrics.
It's good to have traffic and ToFu content but you should never base your entire audit on fluff.
It's very unlikely you will make meaningful decisions based on the number of sessions.
It's good to have traffic and ToFu content but you should never base your entire audit on fluff.
It's very unlikely you will make meaningful decisions based on the number of sessions.
5. Touching the URLs.
Look, in the majority of cases, content websites/publishers don't need to change URLs.
Not only they are minor ranking factors but you risk doing more harm than good.
Please, don't change them for ""UX"" if they are OK.
Look, in the majority of cases, content websites/publishers don't need to change URLs.
Not only they are minor ranking factors but you risk doing more harm than good.
Please, don't change them for ""UX"" if they are OK.
6. Using biased/partial data.
> Use GSC API to get more data
> Repeat the same for GA
Don't do manual exports from the interfaces!
You can also connect the APIs to @screamingfrog if you can't code.
> Use GSC API to get more data
> Repeat the same for GA
Don't do manual exports from the interfaces!
You can also connect the APIs to @screamingfrog if you can't code.
7. Forgetting about the business.
Why should I care about a section if it brings unqualified traffic?
You should tie an audit to the needs of a website.
Today it may rank, tomorrow you can get penalized.
Don't dilute your website across many topics.
Why should I care about a section if it brings unqualified traffic?
You should tie an audit to the needs of a website.
Today it may rank, tomorrow you can get penalized.
Don't dilute your website across many topics.
8. Listen to the average marketing advice.
It's not based on Statistics or Analytics or you name it.
Many blog posts dump data on GSheets and make hasty decisions.
Pruning and auditing can ruin/save a website.
It's not based on Statistics or Analytics or you name it.
Many blog posts dump data on GSheets and make hasty decisions.
Pruning and auditing can ruin/save a website.
9. Auditing every page.
Think in terms of groups and clusters instead.
Measure unique query count and clicks over time per group.
Never go granular with large websites, it doesn't make any sense.
Divide et impera, split the website into clusters.
Think in terms of groups and clusters instead.
Measure unique query count and clicks over time per group.
Never go granular with large websites, it doesn't make any sense.
Divide et impera, split the website into clusters.
10. Making random claims.
In most cases you can't prove why something happened.
You need to test and make hypotheses.
It doesn't matter why it happened as long as you fix it.
And after that, prevention is crucial.
In most cases you can't prove why something happened.
You need to test and make hypotheses.
It doesn't matter why it happened as long as you fix it.
And after that, prevention is crucial.
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