The purpose of this guide is to look at why there are sometimes discrepancies between the figures that Similarweb shows for a given URL and the figures that the owners of that URL see from direct measurement data tools such as Google Analytics.
This follows on from our review of Similarweb’s Data Methodology.
There are three main reasons why the data you get from direct measurement tools such as Google Analytics may differ from the data shown in the Similarweb Platform.
Most businesses use direct measurement tools, such as Google Analytics, to analyze traffic to their own domains. While the technology is usually similar from one tool to the next, the data often varies. This is because of different methodologies used to calculate sessions, session times, and other standard metrics. For example, some methodologies deduplicate visitors which is a method used by Similarweb.
Trackers and analytics codes can be implemented on websites in different ways. Many tools rely on an imperfect human element. This can result in under-reporting pages where a code has not been properly installed or forgotten altogether on newly published pages. It can also lead to over-reporting when brands add trackers to other widgets, apps, plugins, and email clients, incorporating off-site results along with other figures.
When comparing numbers shown by Similarweb to numbers from a direct measurement tool, you need to make sure that your parameters are consistent.
Are you comparing the same time frame?
Are you comparing the same devices? E.g., desktop, mobile or both
Are you comparing the same metrics? E.g., unique visitors vs visits
Similarweb uses a consistent methodology across all of our estimations, measuring all sites in a consistent unified manner.