Other Signals That Influence Local Search Visibility | Lesson 9/10 | SEMrush Academy
Learn how to use behavioral signals, personalization, and social ...
Learn how to use behavioral signals, personalization, and social signals to your advantage.
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0:45 Behavioral signals
1:03 Engagement with your GMB listing
1:23 Location check-in
1:44 CTR ...(Click Through Rate)
2:05 Pogo-Sticking
2:43 Sites with massive CTR would spike in rankling in the short term only
3:10 Personalization
3:39 Personalization decreases in strength as a ranking factor
3:56 Social Signals
4:43 Social signals become less important as a ranking factor
5:00 Social media is a key part of engaging with customers
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In the previous lessons, we've covered all of the important signals that influence local relevancy and how your business will appear in local search results. In Lesson 2, I talked about the annual Local Search Ranking Factors study and showed the pie charts that outlined the various signal strengths, and then covered the bigger signals in subsequent lessons.
In this lesson, I'm going to go over the smallest slices of pie – even though they don't carry much weight, it's important to understand how everything fits together in Google's local algorithm.
Behavioral signals are the biggest of the final pieces of pie. In the map pack graph, they're about 9.5% of the whole, and in the localized organic side, 11.5%.
This is basically a bucket for real-world engagement – the various ways that Google can tell when real-world users are engaging with your business. For example, engagement with your GMB listing would fall under the behavioral signals category. The more people interact with your Google My Business listing, the better your behavioral signal will be.
Mobile clicks to call and clicks for directions are a huge part of this. Clicking to read reviews, clicks to view photos, clicks on Posts and Q&A – any time someone interacts with your listing, it's an engagement metric that Google can track.
Location check-ins would be another example of real-world behavioral signals that would prove engagement to Google. Google can even track users in the real world to see when they're at your location – how do you think they get the info for the “most popular time to visit” graph in your GMB profile?
Your click-through rate in search results is another behavioral signal that potentially affects your rankings. Google says click-through rate has no effect, but far too much research has been done to prove that there's at least minimal influence. It makes sense – if a user clicks through to a search result and then quickly returns to the same search results page and clicks another result, it's pretty clear that they didn't find what they were looking for. This is commonly called pogo-sticking.
If a significant number of users are pogo-sticking off your site, it would make sense that Google might not show you as often, since user signals would seem to point out that they weren't finding relevant answers.
On the flip side, if you were ranking below sites that had lots of pogo-sticking, but users found their answer on your site and didn't go back to Google, it would also make sense that your site would start to show up higher in search results.
Of course, this is all conjecture, and no one has definitively proven that click-through rate affects rankings. Except, some people have actually done that. In the short term, the test sites with massive clickthroughs would spike in rankings, but it didn't seem to have much effect over the long term.
Many experts theorize that there's potential for much more emphasis on behavioral signals in the future. It's easy to manipulate links and reviews, but it's incredibly difficult to fake these real-world signals. As Google finds better ways to track actual users and their engagement with your business, it's likely that these behavioral signals will continue to gain importance.
Personalization is another one of the small slices of pie – and it used to count for much more. In the past, Google would personalize search results based on the search history of the device the search was conducted on. In other words, if you're searching on your phone, the past searches you've made would influence the search results you're seeing.
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