Modern SEO demands a lot from marketers, and successful strategies are often highly dependent on third-party tools and the powerful data they provide. It’s easy to get overwhelmed by all of the information that tools offer, and find it difficult to distill the data down into actionable insights.
How to build a technical SEO dashboard
Image credit: Hack Capital on Unsplash
Even the most experienced technical SEO professional needs to have a manageable amount of information to be able to implement a reliable, data-driven strategy.
The domain of technical SEO pro is rife with a whole host of different SEO tools, all proclaiming to offer crucial insights into the technical health of your website. DeepCrawl, Screaming Frog, Botify, OnCrawl, Sitebulb… the list goes on.
It’s easy to rack up a substantial monthly expenditure on these tools alone. And the further you take your analysis, the more necessary tools become. Carrying out tasks like log file analysis can be done manually using a Google Sheet, but it’s far easier to draw on tools like Logz.io, Loggly, or Splunk.
The downside of using multiple tools (aside from the financial impact) is that it can be tricky to extract the data from the individual silo of each tool. This often leads to a disjointed workflow and makes it hard to understand how your day-to-day efforts are actually impacting your core KPIs.
While technical SEO experts can easily see the value of investing in tools like this, it can be challenging to convey this to key stakeholders.
For someone with a limited understanding of SEO, it can be difficult to understand exactly what the investment is going towards. So when it comes to getting sign off for budgets, being able to visualize and effectively demonstrate the impact of these tools is crucial.
That’s where Google Data Studio (GDS) comes in. Making good use of custom data connectors makes it possible to visualize almost any combination of data required, which can then be used to tell a story.
For example, it can be highly impactful to connect the dots between the technical metrics you have control over (e.g. crawling and indexing optimizations) and the wider KPIs from the rest of your marketing team (e.g. organic visibility, traffic acquisition, revenue, etc).
Google Data Studio offers the capability to match these data points together and get a much clearer picture of what is actually going on.
This post is sponsored by Better Proposals. Sign up by March 15th 2020 and choose either one month for free or double your proposal allowance:
How to build a technical SEO dashboard
Image credit: Hack Capital on Unsplash
Even the most experienced technical SEO professional needs to have a manageable amount of information to be able to implement a reliable, data-driven strategy.
The domain of technical SEO pro is rife with a whole host of different SEO tools, all proclaiming to offer crucial insights into the technical health of your website. DeepCrawl, Screaming Frog, Botify, OnCrawl, Sitebulb… the list goes on.
It’s easy to rack up a substantial monthly expenditure on these tools alone. And the further you take your analysis, the more necessary tools become. Carrying out tasks like log file analysis can be done manually using a Google Sheet, but it’s far easier to draw on tools like Logz.io, Loggly, or Splunk.
The downside of using multiple tools (aside from the financial impact) is that it can be tricky to extract the data from the individual silo of each tool. This often leads to a disjointed workflow and makes it hard to understand how your day-to-day efforts are actually impacting your core KPIs.
While technical SEO experts can easily see the value of investing in tools like this, it can be challenging to convey this to key stakeholders.
For someone with a limited understanding of SEO, it can be difficult to understand exactly what the investment is going towards. So when it comes to getting sign off for budgets, being able to visualize and effectively demonstrate the impact of these tools is crucial.
That’s where Google Data Studio (GDS) comes in. Making good use of custom data connectors makes it possible to visualize almost any combination of data required, which can then be used to tell a story.
For example, it can be highly impactful to connect the dots between the technical metrics you have control over (e.g. crawling and indexing optimizations) and the wider KPIs from the rest of your marketing team (e.g. organic visibility, traffic acquisition, revenue, etc).
Google Data Studio offers the capability to match these data points together and get a much clearer picture of what is actually going on.
This post is sponsored by Better Proposals. Sign up by March 15th 2020 and choose either one month for free or double your proposal allowance:
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