SEOSEO

How SEO Data Can Inform Next Steps

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Ever hear this quote: “Without data, you’re just another person with an opinion” (W. Edwards Deming)?  For SEO, data is the thing that confirms our suspicions, eliminates guesswork, and proves our value. It’s also what we use to create impactful insights and next-step recommendations.

Benefits of data in SEO

While anyone can rattle off best practices found online, it’s the data that helps to support our arguments. Here are a few ways in which data can benefit SEO:

  • Show what's at risk if we don't do something
  • Show what we stand to gain if we do
  • Highlight what's working and what's not working
  • Better align resources by prioritizing what needs to be worked on
  • Create marketing budgets for proposed work
  • Build confidence in your business during pitch meetings

Here are four examples of how you can use SEO data to inform next steps.

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1. Prioritize SEO content writing based on search volume

Without content, there is no SEO. And without SEO, there’s a risk that content may not be found. Let’s face it: we need each other.

To make content writing worth the time, resources, and money (at least from an SEO perspective), it’s a good idea to prioritize topics that people are searching for in search engines.

One way to do this is by addressing the ‘who, what, where, when, why, how’ questions, and looking to see what the search volume is. Another angle is addressing comparative searches (e.g. ‘this’ versus ‘that’).  

For example, let’s pretend I sell coffee products. Here are a few topics I may consider writing about when using tools such as SEMrush, Ahrefs, Conductor, and Answer the Public:

I want to point out that it’s totally fine to write about a topic with a small search volume. For some businesses, it’s more realistic to go after those versus topics with a higher search volume.

Topics with a small search volume can also be valuable since they can have more commercial intent. This is when users are looking for more information with the goal to eventually buy.

Using the examples above, how to store coffee beans to keep fresh (SV: 20) would have more commercial intent than what are the benefits of drinking coffee (SV: 590). That could mean 20 potential eyeballs that turn into 20 purchases.

On top of that, another source of data to consider is Google Trends. This can inform when to write content. Using my coffee example above, I can see iced and peppermint coffee are popular during different times of the year.

Based on the data, I will suggest that content be written a few months prior to peak time. That way I can give them time to get indexed and ranked in Google.

I will also add the keyword phrase into a tracking tool, such as AuthorityLabs or Rank Trackr, to see how they trend over time. If they don’t rank well after some time, that will help to inform more next steps!

2. Address technical errors that are negatively impacting user experience

We work so hard to get people to our sites. Why lose them because the site provides a poor user experience? Technical implications can have a negative impact on keyword rankings, thus an impact on organic traffic and conversions.

One way to improve the user experience is by making sure the website loads quickly. According to Big Commerce, a 1-second delay in page load time has shown a 7% loss in conversions. For large websites, that can be significant.

Use a tool such as Google’s PageSpeed Insights to identify page speed errors. The image below shows that it takes this one client site about 6 seconds for the first meaningful asset to load. That’s just enough time for my visitor to already be on a competitor website.

google page speed insights 6 seconds

Based on this, you will provide the top page speed items that should be resolved. Every site is different, but there are the typical usual suspects, such as: eliminating render-blocking resources, removing unused JS/CSS, using a CDN, and caching static content.

Another way to improve the user experience would be by addressing errors related to Web Core Vitals. This is part of Google’s new Page Experience Signal that will roll out early next year. It’s not common for Google to give advanced notice on an update, so the fact that they did this time, makes me believe it will be significant.

Use the Core Web Vitals dashboard in Google Search Console to discover which pages have been impacted.

google search console web core vitals dashboard

From there, you can use tools such as Google’s Page Speed Insights and web.dev to identify which errors need fixing. From my experience so far, the most opportunities have revolved around removing unused JavaScript/CSS and properly resizing images.

3. Monitor inbound links to expose sites that are friend or foe

Inbound links from quality sources help to increase a site’s authority. It’s a ‘vote of confidence’ that says your site is so valuable that others are willing to link to it.

Monitoring inbound links is a way to keep a keen eye on how others are sharing your content. This can impact your next steps, such as building new partnerships or protecting yourself against a potential spam attack.

Tools such as SEMrush, Moz, Ahrefs, or Majestic can help with discovering new and lost links. Check on inbound links at the very least once a month, or more if things are looking suspicious.

The image below shows an old client that experienced a few instances of significant increases and decreases of inbound links.

increase decrease in semrush external links

From here, you’ll want to investigate where the links are coming from and what pages they’re linking to on your site. In this case, the most recent influx was due to a podcasting site with poor taxonomy.

As quickly as those pages appeared, SEMrush was showing that those pages have since been removed. I anticipate the number of inbound links to decrease because of that.

4. Ensuring analytics provides an accurate depiction of site engagement

As I’ve mentioned, monitoring data is a must for SEO since it informs next steps. But how can we inform next steps when the data is skewed?

Fun discoveries can pop up in our analytics data from time to time. It’s up to us to then make the necessary adjustments, such as new filters or channel groupings. This will help us to make better decisions based on a more accurate depiction of how visitors are engaging on our site.

The image below shows a couple of Google Analytics discoveries during a recent client pitch. They had gone through a site migration and forgot to add GA code to the new site – for a whole month!

There was also an influx of direct traffic, which was due to spam. It’s possible this could have been prevented had they checked the box to remove known bots in the admin console long ago.

Google Analytics anomalies

This can inform the next step to conduct a full Google Analytics audit. It should also necessitate the need for someone to monitor analytics to spot threats sooner rather than later.

Final thoughts

Data is everything when it comes to SEO. I only showed a few small examples of what data can do, but it doesn’t end here. Use tools, such as the ones mentioned above to monitor your website. Traject Data is another tool that can help to derive even more insights and next steps.

I should also mention that many of your next steps will be experiments. You know the saying: if you’re not testing, you’re guessing. We may have a good idea of what will work, but past performance is not an indication of future success. Whatever changes are made to the website, annotate it in Google Analytics. That way you can correlate shifts in keyword rankings and analytics data to SEO changes.

It’s also possible during your research to feel analysis paralysis. When this happens, I recommend starting with the nuggets of data that jump out at you. Look for those noticeable increases and decreases that look interesting. Then do a deep dive from there.

If you want to learn more, you can also listen to Getting “Under the Hood” of Reporting and Analytics on the Agency Ahead podcast (episode #28). Here’s where I talked about identifying KPIs, effective reporting, making recommendations, delivering quick wins, and examining data reliability.

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