How do we determine from which country a user visited a website?

Similarweb uses four different types of data sources that allow us to look beyond IP addresses to understand where a user is accessing a website - including, but not limited to, networks, device codes, and more. These sources, coupled with our proprietary data synthesis and modeling, allow us to categorize traffic by the country where a site was accessed.

  Note: Geographical data is based on our sources of data, and not on the region a specific subdomain, page, or folder is focused on. For example, if you visit (Sephora's region-specific domain for Australia), your visit will not automatically be attributed to the Australia geo in Similarweb. Similarweb looks beyond the URL to identify from which region a user is accessing the site.

How do VPNs affect which country we attribute a website visit to?

We attribute a visit to the country from which we detected their first visit of the day. For example, if someone from country A logs onto their computer and visits a website, and then 5 minutes later connects to their VPN (country B) and visits more websites throughout the day, all website visits for the entire day will be attributed to country A.

What is included in the worldwide country filter?

Worldwide data includes both data from the country filters that we manage and display on the platform, as well as data from a variety of other countries.

The data collected from countries that do not have an independent country filter is not at the scale where we are able to display them independently, however, because of Similarweb's global methodology, we still have coverage and data in those geos. This data is available when analyzing data with the worldwide country filter.

How is Similarweb able to show data for a country for which we do not have a country filter (e.g. China)?

Similarweb uses the same methodology globally to capture traffic. So, even though a country may not be included as one of our 58 specific country filters, we still have coverage and data. For this reason, you can expect to see data from users in these places. 


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