SimilarWeb doesn’t rely on any single channel for data collection. We work with a wide variety of sources to create the most accurate and reliable picture of the digital world. All of this data is fed into SimilarWeb’s data processing servers where we turn billions of daily data points into insightful information.
Where does SimilarWeb data come from? Our data comes from 4 main sources:  Panel of Web Surfers - Our User Panel is the largest panel in the industry (tens of millions). Panel data is collected from tens of thousands of browser plugins, desktop software, and mobile apps.  Global Internet Service Provider - We also collect data from local Internet Service Providers (ISPs) in many countries.  Direct Measurement - We have directly measure web traffic from tens of thousands of websites that share their data with SimilarWeb. When directly measured data is available it replaces our estimations to give unparalleled accuracy within our platforms. We also use this data to create highly accurate estimation algorithms.  Web Crawlers - Our web crawlers scan every public website to create a highly accurate map of the digital world.
The bottom line is that there is no simple way to measure the entire digital world. SimilarWeb spent several years building the data collection infrastructure and refining the data collection processes before launching. We are confident that we offer the most accurate and unbiased data covering the digital world.
When it comes to data, the bigger the panel is, the more statistically accurate the insights will be.
We have panel data for tens of millions of users across the world, making our panel the biggest in the industry.
We implement big data technologies on our data center consisting of dozens of high-end servers that analyze tens of terabytes of data every week and more than a billion data points every single day. The volume of data we manage and process makes our insights highly accurate and reliable.
Once we have collected volumes of raw data, we use statistical analysis and machine learning techniques to turn it into actionable knowledge.
Our raw data is treated with in-house algorithms to remove biases, filter out noisy information, and transform it into meaningful insights. The data from our diversified sources is intelligently combined, normalized, and projected to represent the entire Internet population.
Our expertise in web traffic, marketing analytics, and Internet behavior is what brings our data to life.
We work hard to filter our processed data and present it to users in a way that allows them to quickly find the insights they need.
We work hard so that you don't have to. Instead of being overloaded with irrelevant data, we give users focused access to the most relevant intelligence to help them achieve faster and better research.