Google Trends normalizes search data to the time and location of a query. Google doesn’t filter out the irregular searches from the system because doing so would inform users that the algorithm has identified them, could could then make it more difficult to target that activity in Google Search products. This means that the search data reported in the tool reflects daily searches made by real people on Google’s platforms as well as irregular search activity from automated searches by machines and queries that are used to spam the search results. By sampling only a percentage of search requests, Google Trends can display a good representative dataset for all Google searches within a matter of minutes not hours or days.Īdditionally, Google Search Trends works with an unfiltered dataset. Google’s search engines handle billions of searches per day and processing a dataset that large would be too much work to perform in real time. Google Trends only collects a sample of Google searches for users to explore, measure, and analyze in the tool. The Google Trends process also uses anonymized, categorized, and aggregated data based on the time and location of the query. Google Trends works by collecting an unfiltered sample of actual search requests made to Google and normalizing the data to make accurate comparisons between terms. The Way Google Trends Works Summary How Does Google Trends Work?.
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