Google compare popularity search terms8/13/2023 Google Trends data goes back to 2004, so you can analyze trends over a long period of time. You can choose between Realtime (past 7 days) and Longterm (data older than the past 7 days). Set the timeframe and location: Once you have chosen your topic, select a timeframe.Google Trends uses language-agnostic topics that account for synonyms and misspellings, making them more reliable than search terms. Here you can choose a search term or topic that you want to explore. Choose your search term or topic: Start by navigating to Google Trends.This can be useful for market research, for example to compare different brands’ popularity over time. You can also compare multiple search terms, to see how they relate to each other or to external events. By overlaying trends data with demographic data, you can paint a more complete picture of how different groups of people are affected by different issues and events. The trends it reveals can be used to contextualize other datasets, such as demographic data from the census. And by normalizing search volumes to account for differences in population and search behavior, it enables you to compare the relative interest in different topics, regardless of their absolute numbers.īut Google Trends is not just a source of data it’s also a powerful storytelling tool in its own right. The indexed data is presented on a scale of 0 to 100, with 100 representing the highest search interest for the selected time and location.Ĭreate your own » Google Trends data for storytellingĪs a data storyteller, you need powerful tools to uncover insights that captivate your audience.īy tracking the popularity of search terms over time and across geographic locations, Google Trends provides a window into how people think and react to different events and issues. Search results are normalized to the time and location of a query by the following process: Each data point is divided by the total searches of the geography and time range it represents to compare relative popularity. Google Trends normalizes search data to make comparisons between terms easier. The dataset is dynamic and can be filtered by real-time and historic searches. With Google Trends, users can easily search for a specific topic or set of search terms and uncover search interest over time, popular locations for the search, and related searches. It is a real-time dataset of mammoth proportions and enables users to investigate insights and opinions around events as they happen. Google Trends offers a sample of anonymized, categorized, and aggregated Google search data that unlocks insights into human curiosity and behavior. In this blog post, we’ll explore how you can leverage Google Trends data to gain insights into what people are searching for and how they’re reacting to different events. To compare search terms, click on Compare and type in your terms or topics.Whether you’re a journalist seeking to compare the popularity of a political candidate across the country, a researcher identifying emerging trends, or a marketer trying to optimize campaigns, understanding how to use, interpret, and visualize Google Trends data can be a game-changer. How to compare search terms on Google Trendsġ. "Different regions that show the same search interest for a term don't always have the same total search volumes."įor the example we used above with Apple, this would mean that on August 18, Apple was one of the most popular search terms when compared to every other topic, for those searching on Google News in the US.Ī zero rating, however, wouldn't mean that no one searched for Apple, but only a small number compared to the peaks."The resulting numbers are then scaled on a range of 0 to 100 based on a topic's proportion to all searches on all topics.".Otherwise, places with the most search volume would always be ranked highest." "Each data point is divided by the total searches of the geography and time range it represents to compare relative popularity.Once you've searched a term or topic and customized some of its variants, understanding what the peaks (represented with a 100 on the graph) and plateaus actually mean can be confusing. How to interpret what each graph on Google Trends means Customize the subregion graph by using the drop-down menu on the right.
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