#Google trends data interest over time how to

You can also narrow your searches down to specific Google products, such as Web Search, Image Search, Google Shopping, and YouTube making Google Trends one of the best tools for how to find the most searched keywords on Google for search engine optimization (SEO) and digital marketing campaigns. This allows the data exploration tool to display related queries for each search term based on categories like Arts & Entertainment, Finance, Real Estate, Travel, etc, to help users find other relevant topics to measure and analyze. Google Trends categorizes data by grouping search queries into topics. Data anonymization is the process of protecting private or sensitive information for individuals by erasing or encrypting identifiers that connect that person to stored data.

Google Search Trends only works with anonymized data so no one can be personally identified through the system. (More details on this scoring method in the next section.) Trends Data Is Anonymized How Google Trends works to normalize is by dividing each data point by the total searches of the geography and time range it represents and assigning it a value on a scale between 0 to 100 to accurately compare popularity between search terms. Without data normalization, locations with the highest search volume would always rank the highest and seem to be the most popular. Normalized data is important because it makes it easier to compare two or more terms without skewing the results in favor of one term based on search volume. Data normalization means that the data is organized in a way that appears similar across all search terms. 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?.

Google trends data interest over time