Intro to Google Trends data



What is Google Trends, how does it collect data, and how can you use it? Join Daniel Waisberg, Search Advocate at Google, on a journey into the world of search data and discover exactly what you see when you visit Google Trends and search for a term. Watch along as Daniel explains fundamental concepts and runs through an overview of Google Trends.

Chapters:
0:00 – Intro
0:44 – What is Google Trends?
1:18 – How does Google Trends compile data?
3:00 – How to use Google Trends
4:52 – Recap

Resources:
FAQ about Google Trends data → https://goo.gle/4cGvKn5
Watch more Google Trends Tutorials → https://goo.gle/gtt
Subscribe to Google Search Channel → https://goo.gle/SearchCentral

#GoogleTrends #GoogleSearch

Speaker: Daniel Waisberg
Products Mentioned: Search Console – Google Trends

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40 thoughts on “Intro to Google Trends data”

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  3. I found this data and all the details amazing, but I would like to know how I could make money with this knowledge.
    I saw a channel from brazil where the child has 8 million subscribers just watching other people's videos. I was really impressed by how people got into this.

  4. Hello Daniel,

    A few days ago, I noticed that the "Trending now" tab was changed. Is there any way to see it as it was before? Or could you add a "Technology" tab to it? I used to look for trends in technology and other topics there, but now I can't with the changes made. Do you know if they will add something similar to what we had before, or do I just have to accept it?

    Thank you very much for your time, and I hope to learn a lot from your videos

  5. 🎯 Key points for quick navigation:

    00:00 – Daniel Waisberg introduces the Google Trends tutorial series, explaining its purpose and concepts like sampling and normalization.
    00:30 – Google Trends provides a random sample of aggregated, anonymized, and categorized Google searches.
    01:07 – Due to the volume of searches, Google uses a statistically significant random sample to represent overall trends.
    01:37 – Google cleans and aggregates data to remove noise and protect user privacy, excluding rarely searched terms and repeated searches.
    02:08 – Data normalization makes it easier to compare search terms by adjusting data points relative to the highest point, set at 100.
    03:14 – On the Explore page, users can customize date ranges and analyze different Google properties like Web Search, Images, News, Shopping, and YouTube.
    03:45 – Google Trends offers topics that group related search terms, including misspellings and acronyms, useful for global data analysis.
    04:47 – Google Trends data represents search interest on a scale from 0 to 100, allowing comparison without revealing exact search volumes.
    05:21 – The data shows changes in term popularity over time and allows for comparisons across countries, properties, and categories.
    05:53 – Future episodes will feature Google Trends engineers explaining the tool's capabilities; viewers are encouraged to subscribe for updates.

    Made with HARPA AI

  6. I love google trends! Back in 2019 proudly contributed to a pytrends library. I needed to compare lists from 30 to 50 thousands keys. Google has a limit of 750/day, but you can still get more with proxies which is what that library exactly does.

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