An Introduction to Personalized Search in Google & Bing
Lisa Hirst Carnes | September 2023
If you work in SEO, it’s only a matter of time before you get the perennial question about personalized search. Over the years, I’ve gotten this question too many times to count!
What Are Personalized Search Engine Results?
Personalized Search Considerations
Keyword Ranking Variability
Traditional SEO techniques often involve optimizing for specific keywords. Personalized results complicate this because rankings can vary from one user to another. At ArcStone, we usually target topic themes instead of keywords.
Importance of User Engagement Metrics
With personalized results, user behavior becomes a critical factor. Metrics like click-through rate (CTR), dwell time, and bounce rate influence the algorithm. This is another reason to make sure users engage with your content!
Local SEO Significance
Local SEO efforts become crucial since location is a key personalization factor. Optimizing for local search is essential if your organization offers local services or products. This means paying attention to local citations, reviews, and listings like Google My Business.
Difficulty in Monitoring and Reporting
Personalization makes it more challenging to track SEO efforts as the SERPs are not the same for everyone. We rely on aggregate data and other tools to resolve this issue.
Content Relevance
Personalization increases the need for relevant, quality content that meets the user’s intent. Personalized SERPs favor content that resonates with a specific audience.
Social Signals and Reviews
Personalized results may also consider social signals like shares, likes, and reviews.
Consider social media optimization and reputation management as part of your SEO strategy. This means paying attention to reviews and interacting with your audience.
Privacy Concerns
While not an SEO issue, data collection has raised user privacy concerns. This could affect how much data is available for personalization, depending on regulations. We’re seeing this firsthand with data thresholding in Google Analytics 4. Data thresholds prevent anyone from inferring user identity based on demographics or interests.