![]() After that point, "content marketing" performs better, barring that unusual spike. You can see that, before early 2013, "search marketing" was the better keyword. That peak of traffic is the high-water mark for both graphs. The peak of interest in search marketing happened in October 2017. It scales the lower-searched keyword based on its performance compared to the higher-performing query.įor example, compare "content marketing" and "search marketing" here. These only consider some synonyms and similar searches that competing web pages may be ranking for.Ĭomparing two keywords puts both of them on a graph that is bounded by whichever one has the highest performance. Remember, Google Trends doesn't give you specific traffic numbers, just estimates based on the keyword's performance compared to itself. This section is useful for keyword research, but it's also helpful to see the current health of any given topic. Of course, you can click on any of these queries and see more specific information about them. Top: The most popular related search queries.Google's definition of "breakout" is a 5,000%+ growth, by the way. If there's a label of "breakout" next to them, they've had a substantial increase in traffic, though this is usually due to a baseline interest of 0 beforehand. Rising: These are "hot topic" queries with a significant increase in the last timeframe.This area is a list of keywords people search for in addition to searching for your primary term. If you scroll down, you'll see a map with geographic interest subdivided by region, like State in the U.S., but what you want is below even that.Īt the bottom right of the page, you see a box labeled "Related queries." When you plug a search phrase into Google Trends, there's more than just that chart of interest. You can use Google Trends data for this purpose as well. There are many different ways you can plug a new keyword into Google and get related keywords.Īll of their auto-complete searches, the variety of "people also ask" questions, and so on can be good resources to find spin-off topics and sub-topics for a given top-level keyword. You don't want to invest all that time and resources into something that will eventually flatline. If you're going to produce an evergreen mega-guide, you want it to be about a topic that's growing in interest, not falling, right? ![]() This data is helpful whenever you want to create pillar, 10x, or skyscraper content for a given topic. In fact, as of this writing, the peak interest of all time was October 2021. If you expand it back to 2004, you see that, while it has some peaks and valleys, it's still trending upwards. But, if you expand the timeline to the past two years, you see a slow increase. It has ups and downs, but there's no clear trend upwards or downwards. This tool also pulls real-time data, so you can follow queries to see how interest grows or wanes over time.įor example, if you put "content marketing" into the trend bar, you'll see a relatively flat line for the past year. This information helps you distinguish between a fad and a genuine trend, as well as between an evergreen topic, a topic that has a long and slow decline in interest, and a topic that is growing in relative popularity. Is interest rising or falling compared to the previous year?.Is the interest in the topic rising or falling over time on a long enough scale?.Well, you can use it to determine two things: You can change that date range to any custom time range or one of Google's pre-set times, including "everything from 2004 to present." By default, Google shows you the past year of search volume estimates for the topic. The critical part here is that you can see how the topic trends over time. You can't use this to estimate absolute search numbers, just relative search numbers compared to the exact search in the past. The vertical scale is scored between 0-100, but it's adjusted for 0 to be zero search interest and 100 to be the peak search interest of all time. ![]() Note that this does not give you search volume numbers. In particular, when you put a search term into a Google Trends search, you'll see search interest in that search term over time. ![]() Google Trends isn't necessarily going to help you find new keyword ideas (though it could I'll cover some uses in that sphere later), but it does let you vet them. ![]()
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