Recent SEO study: Divided into three groups – differences in search behavior by age and gender

The three groups of Google searchers: What the study reveals – New study analyzes digital search behavior in the USA

The recent study by Sparktoro and Datos, which divides Google users in the US into three groups (34% with more than 100 searches per month, 36% with 21 to 100 searches, and 30% with 1 to 20 searches), provides interesting insights into different usage intensities. However, the study does not directly reveal the demographic distribution of these three groups. Nevertheless, the available search results offer revealing insights into age-related and gender-specific differences in digital search behavior.

Datos is a Semrush company specializing in clickstream data. According to Datos' clickstream data, Google redirects approximately 30% of all clicks in the US and EU to its own services. This data is part of the extensive data sources Semrush uses for its analytics and tools.

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Age-related differences in search behavior

Age proves to be one of the most decisive factors in digital search behavior. Significant differences emerge between generations in the choice of preferred search platforms and methods.

Generational differences in search platform choice

Generation X (born between 1965 and 1980) still primarily uses traditional search engines like Google for their information searches. Millennials (Generation Y, born between 1981 and 1996) use a combination of classic search engines and social networks. Generation Z, on the other hand, strongly prefers social media as their primary source of information.

These differences are supported by current figures: Approximately 40% of young users no longer begin their information search on Google, but on platforms like TikTok or Instagram. According to the State of Search study 2024, a clear age difference is evident – ​​the younger the users, the more frequently AI chatbots and platforms like TikTok are used for search queries.

Voice search as an age-specific phenomenon

The age differences are particularly evident in the use of voice search. A study by Northstar Research, commissioned by Google, found that 55% of all teenagers between 13 and 18 years old use this technology several times a day, while older people have significantly more difficulty with this function.

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Usage intensity of different platforms by age

Age-specific patterns also emerge when using social media as search platforms:

• Instagram is most widely used by the 25-34 age group (9.6 million users as of March 2024)
• X (formerly Twitter) is particularly preferred by young adults between 18 and 34 years old (41% of this age group)
• Pinterest is used daily by 7% of 14- to 29-year-olds
• Facebook gains popularity as users get older

Gender-specific differences in search behavior

Besides age, gender also plays an important role in digital search behavior, with platform-specific differences being particularly evident here.

Platform preferences by gender

The gender distribution varies considerably depending on the platform:

• X (formerly Twitter) has the largest gender imbalance, with 60.9% male users
• Pinterest, on the other hand, is predominantly used by women – 71.9% of German users are female
• Instagram has a more balanced gender distribution, with women slightly ahead at 36% compared to men at 33% in daily use

Gender-specific search behavior on Google

Google itself analyzes its users' search behavior to draw conclusions about demographic characteristics such as age and gender. The company uses this data, among other things, for targeted advertising. For website operators, this function represents an important source of information, providing insights, for example, into which pages are visited more frequently by women and which by men.

Interaction of age and gender

In some areas, age and gender differences reinforce each other. On Instagram, for example, the biggest difference between men and women is in the 45-54 age group, with 2.4 million women compared to 1.8 million men.

These differences are also reflected in search behavior. In e-commerce, younger users tend to use second-hand marketplaces or Asian platforms more frequently, while gender-specific differences become apparent in certain product categories.

A complex network of relationships

The relationship between search behavior, age, and gender is a complex phenomenon. While the original Sparktoro study provides no direct insights into the demographic distribution of the three identified search behavior groups, other studies show that both age and gender are significant influencing factors on digital search behavior.

With increasing age, the preference for traditional search engines like Google seems to rise, while younger generations increasingly turn to alternative platforms. Gender-specific differences are particularly evident in platform choice and certain thematic interests.

For companies and marketing professionals, this means that a successful digital strategy should take into account both age- and gender-specific differences in search behavior in order to effectively reach target groups.

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How often do people actually search? Fascinating data on Google usage

A recently published study by Sparktoro and Datos reveals fascinating insights into the search behavior of US Google users. The analysis shows a clear three-way division of the user base based on the frequency of their search queries: While one-third use Google relatively infrequently, another third conducts an exceptionally high number of searches. The average number of monthly search queries is 126, with a median of 53 queries highlighting the wide variation. These findings provide important insights into the usage patterns of the world's leading search engine and its significance for different population groups.

Methodological basis of the study

The study was conducted as a collaboration between Sparktoro and Datos, a Semrush company. Researchers analyzed the search behavior of Google users in the US, focusing on desktop search queries. It's important to note that mobile applications such as Google Maps or the Google Android app were not included in the survey, which limits the data's relevance, particularly for mobile users. Despite this limitation, the study provides valuable insights into desktop search behavior, where users tend to conduct more complex and detailed search queries.

The analysis period spanned several months, with the most recent data dating from 2025. Data was collected using a panel representing a statistically significant and diverse sample of US internet users. When interpreting the results, it's important to note that a "unique search" was defined as a query that was not performed multiple times with identical wording on the same day. This means that multiple identical searches by the same user on the same day were only counted once.

The three user groups in detail

The study identifies three distinct user groups, each with characteristic search behavior. The first group, comprising 30% of users, performs relatively few searches – between one and 20 queries per month. These users may primarily use Google for occasional, specific information needs or may prefer alternative information sources. Their search behavior is characterized by sporadic, mostly targeted queries for immediate needs.

The second group comprises 36% of users who perform between 21 and 100 searches per month. These users represent the middle of the spectrum and can be considered moderate search engine users. They use Google regularly for various information needs, but not with the intensity of the third group.

The third group, comprising 34% of users, is characterized by very intensive use – more than 100 search queries per month. These power users rely on Google as their primary information-gathering tool and likely conduct research frequently for professional or personal reasons. Some users in this group even perform between 500 and 1,000 searches per month, as the data suggests.

Average search activity and statistical distribution

A particularly interesting aspect of the study concerns the statistical distribution of search queries. The average of 126 search queries per month per user is significantly higher than the median of 53. This discrepancy illustrates that a few users with extremely high search activity are skewing the average upwards, while the majority of users perform considerably fewer search queries.

The asymmetric distribution of search activity has important implications for interpreting search volumes and developing marketing strategies. It shows that a relatively small proportion of users is responsible for a large share of the total search volume. Google itself has reported that its search engine answers approximately five trillion search queries annually, underscoring the platform's enormous importance for global information gathering.

Distribution by search categories

In addition to the frequency of search queries, the study also examined the types of searches users perform. The vast majority of queries are classic web searches, accounting for approximately 87% of all searches. This illustrates that despite the increasing diversification of Google services, traditional text search remains the core business of the search engine.

Image searches follow with a share of approximately 10% of search queries. This reflects the growing importance of visual content on the internet and the need for users to find specific images or obtain visual information on a topic. The remaining search queries are distributed across other specialized areas such as news or shopping, but these represent a significantly smaller share compared to general web searches and image searches.

Google in the context of the US search market

To understand the significance of these usage patterns, it is helpful to consider Google's position in the US search engine market. In February 2025, Google held approximately 76.3% of the total US search engine market. Bing followed with a market share of about 17%, while Yahoo came in third with around 4%. These figures illustrate Google's dominant market position, despite the efforts of competitors and regulatory interventions.

Another noteworthy finding from related studies concerns the so-called “zero-click” phenomenon. According to one study, nearly 60% of mobile and desktop searches in the US end without a click on a search result. This means that a significant portion of search queries are either completed without any further action or the user changes their search query. Particularly worrying for website operators is the fact that almost 30% of all clicks go to platforms owned by Google itself, such as YouTube, Google Maps, or Google Flights.

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Search behavior over time and regional comparison

Interestingly, a comparison of data from the US and the EU shows that the average number of searches per user has increased in both regions in recent years. In September 2022, the number of searches per user in the EU was around 120, while in the US it was 130. By 2024, this number had risen to around 140 searches per user in both regions. This refutes fears that Google has lost credibility or that internet users are increasingly looking for alternatives.

Compared to the EU, differences are also apparent in click behavior following search queries. The percentage of clicks that lead to Google services like YouTube after a search is 28.5% in the US, 4.5 percentage points higher than in the EU at 24%. This could be due to stricter regulations in the EU, which, for example, have resulted in Google Maps no longer being directly linked from Google search results.

Implications for marketing strategies and website optimization

The findings of the study have significant implications for digital marketing strategies and website optimization. It is important for businesses and content creators to understand that their potential visitors have different search habits. A differentiated strategy that considers both occasional and intensive users could be more effective than a one-size-fits-all approach.

The high number of zero-click searches poses a challenge for website operators, as they may receive less traffic despite good search engine rankings. This underscores the need to think beyond pure search engine optimization and develop more comprehensive digital strategies that incorporate multiple channels and platforms.

For search engine optimization (SEO), these findings mean that a stronger focus on traditional web search remains worthwhile, as it accounts for the largest share of search queries. At the same time, however, the growing importance of image search should not be neglected, especially for industries where visual content plays a crucial role.

Changing search trends: Google's role in an AI-driven future

The study by Sparktoro and Datos provides valuable insights into the search behavior of US Google users. The identified three-way division into occasional, moderate, and intensive users, as well as the asymmetric distribution of search activity, illustrate the complexity of search behavior and the different usage habits within the population.

Despite Google's dominance in the search engine market and the high number of zero-click searches, the search engine remains a central tool for information gathering. The increasing number of search queries per user in recent years indicates that Google is maintaining its position as the primary source of information on the internet.

Looking ahead, it would be interesting to further monitor the development of these usage patterns, particularly with regard to the influence of AI-based search tools and voice-controlled assistants. Likewise, a more detailed demographic analysis of the three identified user groups would be valuable in order to gain an even deeper understanding of the search behavior of different population groups.

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