Search engines analyze how users interact with your business listing to determine its relevance and value to searchers. According to Google’s own statements, user behavior is a significant factor in determining local search rankings.
Click-Through Rate (CTR)
Research from Sistrix shows that the first position in local search results receives an average CTR of 28.5%. This includes clicks to your website, to get directions or call your business.
Engagement Metrics
According to Google’s research, businesses that maintain high engagement rates in their listings are more likely to appear in prominent positions. Key engagement metrics include the time users spend viewing your business profile, how many photos they saw, and whether they interacted with posts and updates or used one of your contact features.
Direction Requests
Google confirms that the number of times users request directions to your business is a significant ranking factor. This signal is particularly powerful because it indicates a strong intent to visit your business.
Mobile Interaction
With mobile searches accounting for over 60% of all Google searches, mobile engagement has become crucial. Google particularly values click-to-call actions, website visits on mobile, and using mobile-specific features.
Imagine if someone searches for “auto repair Chicago” and users consistently click on and engage with a particular shop’s listing (calling them, getting directions, etc.). Google interprets this as a signal that this business is relevant and valuable to searchers. This behavioral data helps Google understand which businesses will most likely satisfy user intent.
Negative Behavioral Signals
Let me explain how user behavior affects your local visibility. Imagine Google as a really observant neighbor who notices how people interact with your business. When users quickly leave your listing, can’t find what they’re looking for, or struggle to contact you, it sends signals that something might be wrong. Some businesses try to fake positive signals by repeatedly clicking their own listings or generating artificial traffic. But just like in real life, authentic interactions are what really matter for building a strong local presence.
Welcome back to Localo Complete SEO Course! Today we’re exploring how user behavior signals influence your local search rankings. Search engines analyze how users interact with your business listing to determine its relevance and value. Understanding these signals can help you optimize for real user engagement, not just technical SEO factors.
How do behavioral signals influence local rankings?
According to Google’s own statements, user behavior is a significant factor in determining local search rankings. These behavioral signals provide Google with real-world data about how users respond to your business in search results—essentially showing whether users find your listing valuable when they see it.
What impact does click-through rate have on local visibility?
Research shows that the 1st position local search results receives an average click-through rate of 28.5%. This represents a significant advantage for businesses that achieve top positions. Your click-through rate isn’t limited to website clicks—it includes all interactions with your listing, such as: Clicks to your website. Requests for directions. Phone calls initiated from your listing. And clicks to view photos or read more reviews. Google interprets a high click-through rate as a signal that your business is relevant and valuable to searchers for specific queries. If users consistently click on your listing when searching for “boutique clothing store Chicago,” Google learns that your business is a good match for that search.
What engagement metrics matter most for local search?
Beyond initial clicks, Google evaluates how users engage with your business listing. Key engagement metrics include: Time spent viewing your business profile. Number of photos viewed. Interactions with posts and updates. Use of features like appointments or messaging And, whether users save your business for later reference.
According to Google’s research, businesses that maintain high engagement rates in their listings are more likely to appear in prominent positions. This creates a virtuous cycle where better visibility leads to more engagement, which further improves visibility.
Why are direction requests such a powerful signal?
Google has confirmed that the number of times users request directions to your business is a significant ranking factor. Direction requests are powerful because they indicate a strong intent to visit your business. When someone clicks “Directions,” they’re showing Google they’re not just casually browsing—they’re actively planning to visit your location. This signal is particularly valuable because it connects online search behavior to real-world actions. For businesses like retail stores, restaurants, and service locations, direction requests can be one of the most important behavioral metrics to track and improve.
How does mobile interaction affect your local visibility?
With mobile searches accounting for over 60%of all Google searches, mobile engagement has become crucial for local businesses. Google particularly values mobile-specific interactions such as: click-to-call actions from mobile devices. direction requests initiated on phones. mobile website visits from local listings. And , use of the “call now” button during high-intent moments. These mobile actions often represent immediate purchase intent. When someone searches for “emergency plumber” and calls directly from their mobile search results, it’s a strong signal that your business satisfied an urgent need.
What negative behavioral signals should you be aware of?
Let me explain how user behavior affects your local visibility. Imagine Google as a really observant neighbor who notices how people interact with your business. When users quickly leave your listing, can’t find what they’re looking for, or struggle to contact you, it sends signals that something might be wrong. Some businesses try to artificially boost their metrics by clicking their own listings or generating fake traffic. But Google’s algorithms have become sophisticated at detecting these patterns. What really matters is genuine user engagement – people spending time with your content, finding what they need, and taking meaningful actions. Remember, Google’s goal is to provide the best experience for searchers. If users consistently show through their behavior that your business isn’t meeting their needs, your visibility will likely suffer regardless of other optimization efforts.
How does Google use all this behavioral data?
Google integrates these various behavioral signals to understand which businesses satisfy user intent. Imagine someone searches for “auto repair Chicago” and users consistently click on and engage with a particular shop’s listing—calling them, getting directions, viewing multiple photos. Google interprets this as evidence that this business is relevant and valuable to searchers. Over time, these patterns help Google understand which businesses consistently deliver what searchers are looking for. This behavioral data becomes part of the “prominence” factor we discussed in an earlier lesson.
In our next lesson, we’ll explore the role of citations in local SEO and how to build a strong citation profile that reinforces your local visibility. Thank you for joining me today, and I’ll see you in the next video!
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The websites and Google Business Profiles used throughout the course are for educational purposes only. We're not affiliated with these businesses and don't claim any endorsement from them. All trademarks belong to their owners. Some examples include visual changes (made with browser tools) to help illustrate the SEO concepts we're teaching. These edits are strictly local and illustrative of specific SEO concepts. They don't affect the original websites.
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