SEO
12 Reasons Your Website Can Have A High Bounce Rate
“Why do I have such a high bounce rate?”
It’s a question you’ll encounter on Twitter, Reddit, and your favorite digital marketing Facebook group.
It’s a question you may have even asked yourself. Heck, it could be the question that brought you to this article.
Whatever brought you here, rest assured: There is no “perfect” bounce rate.
But you don’t necessarily want one that’s too high.
Read on as we dig into what may be causing your high bounce rate and what you can do to fix it.
What Is A Bounce Rate?
As a refresher, Google refers to a “bounce” as “a single-page session on your site.”
Bounce rate refers to the percentage of visitors that leave your website (or “bounce” back to the search results or referring website) after viewing only one page on your site.
This can even happen when a user idles on a page for more than 30 minutes.
So, what is a high bounce rate, and why is it bad?
Well, “high bounce rate” is a relative term that depends on your company’s goals and what kind of site you have.
Low bounce rates can be a problem, too.
Data from Semrush suggests the average bounce rate ranges from 41% to 55%, with a range of 26% to 40% being optimal, and anything above 46% is considered “high.”
This aligns well with data from an earlier RocketFuel study, which found that most websites will see bounce rates between 26% to 70%:
Based on the data they gathered, RocketFuel provided a bounce rate grading system of sorts:
- 25% or lower: Something is probably broken.
- 26-40%: Excellent.
- 41-55%: Average.
- 56-70%: Higher than normal, but could make sense depending on the website.
- 70% or higher: Bad and/or something is probably broken.
How To Find Your Bounce Rate In Google Analytics
In Google Analytics 4, Google seems to have done away with bounce rate as we know it (more on this in a bit).
In Universal Analytics, you can find the overall bounce rate for your site in the Audience Overview tab.
You can find your bounce rate for individual channels and pages in the behavior column of most views in Google Analytics.
However, most organizations are currently transitioning to Google Analytics 4, affectionately known as GA4.
If your organization is in that boat, you may be wondering, “Where did the bounce rate go?”
Your eyes aren’t tricking you; Google indeed removed the bounce rate. Or, rather, they replaced it with a new and improved metric called “engagement rate.”
In GA4, you can find your site’s bounce rate engagement rate by navigating to Acquisition > User acquisition or Acquisition > Traffic acquisition.
Engagement rate fixes some of the pitfalls that plagued bounce rate as a metric. For one, it includes sessions where a visitor converted or spent at least 10 seconds on the page, even if they did not visit any other pages – two types of sessions that were not factored in previously.
As a result, you should see your bounce rate lower in GA4. Once you do a little bit of math, that is.
To calculate your new bounce rate, you simply subtract your engagement rate from 100%.
While bounce rate is an important metric, I’m happy to see Google made this change.
Instead of focusing on the negative, it encourages us to focus on the positive: How many people are engaged with your site.
Plus, it’s a more accurate and relevant metric now.
In GA4, engagement rate counts a visitor as “engaged” if they visited 2+ pages, spent at least 10 seconds on your site or converted.
Now, let’s get back to what you came here for: Why your bounce rate is high and what you can do about it.
Possible Explanations For A High Bounce Rate
Below are 12 common causes of a high bounce rate, followed by five ways you can fix it.
1. Slow-To-Load Page
Google has a renewed focus on site speed, especially as a part of the Core Web Vitals initiative.
A slow-to-load page can be a huge problem for bounce rates.
Site speed is part of Google’s ranking algorithm. It always has been.
Google wants to promote content that provides a positive experience for users, and they recognize that a slow site can provide a poor experience.
Users want the facts fast – this is part of the reason Google has put so much work into featured snippets.
If your page takes longer than a few seconds to load, your visitors may get fed up and leave.
Fixing site speed is a lifelong journey for most SEO and marketing pros.
But the upside is that with each incremental fix, you should see an incremental boost in speed.
Review your page speed (overall and for individual pages) using tools like:
- Google PageSpeed Insights.
- Google Search Console PageSpeed reports.
- Lighthouse reports.
- Pingdom.
- GTmetrix.
They’ll offer you recommendations specific to your site, such as compressing your images, reducing third-party scripts, and leveraging browser caching.
2. Self-Sufficient Content*
Sometimes your content is efficient enough that people can quickly get what they need and bounce!
This can be a wonderful thing.
Perhaps you’ve achieved the content marketer’s dream and created awesome content that wholly consumed them for a handful of minutes in their lives.
Or perhaps you have a landing page that only requires the user to complete a short lead form.
To determine whether bounce rate is nothing to worry about, you’ll want to look at the Time Spent on Page and Average Session Duration metrics in Google Analytics.
You can also conduct user experience testing and A/B testing to see if the high bounce rate is a problem.
If the user is spending a couple of minutes or more on the page, that sends a positive signal to Google that they found your page highly relevant to their search query.
If you want to rank for that particular search query, that kind of user intent is gold.
If the user is spending less than a minute on the page (which may be the case of a properly optimized landing page with a quick-hit CTA form), consider enticing the reader to read some of your related blog posts after filling out the form.
*This is an example where GA4’s engagement rate may be a superior metric to UA’s bounce rate. In GA4, this type of session would not count as a bounce and would instead count as “engaged.”
3. Disproportional Contribution By A Few Pages
If we expand on the example from the previous section, you may have a few pages on your site that are contributing disproportionally to the overall bounce rate for your site.
Google is savvy at recognizing the difference between these.
If your single CTA landing pages reasonably satisfy user intent and cause them to bounce quickly after taking an action, but your longer-form content pages have a lower bounce rate, you’re probably good to go.
However, you will want to dig in and confirm that this is the case or discover if some of these pages with a higher bounce rate shouldn’t be causing users to leave en masse.
Open up Google Analytics. Go to Behavior > Site Content > Landing Pages, and sort by Bounce Rate.
Consider adding an advanced filter to remove pages that might skew the results.
For example, it’s not necessarily helpful to agonize over the one Twitter share with five visits that have all your social UTM parameters tacked onto the end of the URL.
My rule of thumb is to determine a minimum threshold of volume that is significant for the page.
Choose what makes sense for your site, whether it’s 100 visits or 1,000 visits, and then click on Advanced and filter for Sessions greater than that.
In GA4, navigate to Acquisition > User acquisition or Acquisition > Traffic acquisition. From there, click on “Add filter +” underneath the report title.
Create a filter by selecting “Session default channel grouping” (or “Session medium” or “Session source / medium” etc.). Then check the box for “Organic Search” in the Dimension values menu.
Click the blue Apply button. Once you’re back in the report, click on the blue plus sign to open up a new menu.
Navigate to Page/screen and select Landing page.
4. Misleading Title Tag And/Or Meta Description
Ask yourself: Is the content of your page accurately summarized by your title tag and meta description?
If not, visitors may enter your site thinking your content is about one thing, only to find that it isn’t, and then bounce back to whence they came.
Whether it was an innocent mistake or you were trying to game the system by optimizing for keyword clickbait (shame on you!), this is, fortunately, simple enough to fix.
Either review the content of your page and adjust the title tag and meta description accordingly. Or, rewrite the content to address the search queries you want to attract visitors for.
You can also check what kind of meta description Google has auto-generated for your page for common searches – Google can change your meta description, and if they make it worse, you can take steps to remedy that.
5. Blank Page Or Technical Error
If your bounce rate is exceptionally high and you see that people are spending less than a few seconds on the page, it’s likely your page is blank, returning a 404, or otherwise not loading properly.
Take a look at the page from your audience’s most popular browser and device configurations (e.g., Safari on desktop and mobile, Chrome on mobile, etc.) to replicate their experience.
You can also check in Search Console under Coverage to discover the issue from Google’s perspective.
Correct the issue yourself or talk to someone who can – an issue like this can cause Google to drop your page from the search results in a hurry.
6. Bad Link From Another Website
You could be doing everything perfectly on your end to achieve a normal or low bounce rate from organic search results and still have a high bounce rate from your referral traffic.
The referring site could be sending you unqualified visitors, or the anchor text and context for the link could be misleading.
Sometimes this is a result of sloppy copywriting.
The writer or publisher linked to your site in the wrong part of the copy or didn’t mean to link to your site at all.
Reach out to the author of the article first. If they don’t respond or they can’t update the article after publishing, then you can escalate the issue to the site’s editor or webmaster.
Politely ask them to remove the link to your site – or update the context, whichever makes sense.
(Tip: You can easily find their contact information with this guide.)
Unfortunately, the referring website may be trying to sabotage you with some negative SEO tactics out of spite or just for fun.
For example, they may have linked to your “Guide To Adopting A Puppy” with the anchor text of FREE GET RICH QUICK SCHEME.
You should still reach out and politely ask them to remove the link, but if needed, you’ll want to update your disavow file in Search Console.
Disavowing the link won’t reduce your bounce rate, but it will tell Google not to take that site’s link into account when it comes to determining the quality and relevance of your site.
7. Affiliate Landing Page Or Single-Page Site*
If you’re an affiliate, the whole point of your page may be to deliberately send people away from your website to the merchant’s site.
In these instances, you’re doing the job right if the page has a higher bounce rate.
A similar scenario would be if you have a single-page website, such as a landing page for your ebook or a simple portfolio site.
It’s common for sites like these to have a very high bounce rate since there’s nowhere else to go.
Remember that Google can usually tell when a website is doing a good job satisfying user intent even if the user’s query is answered super quickly (sites like WhatIsMyScreenResolution.com come to mind).
If you’re interested, you can adjust your bounce rate so it makes more sense for the goals of your website.
For Single Page Apps (or SPAs), you can adjust your analytics settings to see different parts of a page as a different page, adjusting the bounce rate to better reflect the user experience.
*This is another example where GA4’s engagement rate may be a superior metric to UA’s bounce rate. If you’ve set it up so that a click on your affiliate link is considered a conversion event, this type of session would not count as a bounce and would instead count as “engaged.”
8. Low-Quality Or Underoptimized Content
Visitors may be bouncing from your website because your content is just plain bad.
Take a long, hard look at your page and have your most judgmental and honest colleague or friend review it.
(Ideally, this person either has a background in content marketing or copywriting, or they fall into your target audience).
One possibility is that your content is great, but you just haven’t optimized it for online reading – or for the audience that you’re targeting.
- Are you writing in simple sentences (think high school students versus PhDs)?
- Is it easily scannable with lots of header tags?
- Does it cleanly answer questions?
- Have you included images to break up the copy and make it easy on the eyes?
Writing for the web is different than writing for offline publications.
Brush up your online copywriting skills to increase the time people spend reading your content.
The other possibility is that your content is poorly written overall or simply isn’t something your audience cares about.
Consider hiring a freelance copywriter (like me!) or content strategist who can help you transform your ideas into powerful content that converts.
9. Bad Or Obnoxious UX
Are you bombarding people with ads, pop-up surveys, and email subscribe buttons?
CTA-heavy features like these may be irresistible to the marketing and sales team, but using too many of them can make a visitor run for the hills.
Google’s Core Web Vitals are all about user experience – not only are they ranking factors, but they impact your site visitors’ happiness, too.
Is your site confusing to navigate?
Perhaps your visitors are looking to explore more, but your blog is missing a search box, or the menu items are difficult to click on a smartphone.
As online marketers, we know our websites in and out.
It’s easy to forget that what seems intuitive to us is anything but to our audience.
Make sure you’re avoiding these common design mistakes, and have a web or UX designer review the site and let you know if anything pops out to them as problematic.
10. The Page Isn’t Mobile-Friendly
While SEOs know it’s important to have a mobile-friendly website, the practice isn’t always followed in the real world.
Google announced its switch to mobile-first indexing way back in 2017, but many websites today still wouldn’t be considered mobile-friendly.
Websites that haven’t been optimized for mobile don’t look good on mobile devices – and they don’t load too fast, either.
That’s a recipe for a high bounce rate.
Even if your website was implemented using responsive design principles, it’s still possible that the live page doesn’t read as mobile-friendly to the user.
Sometimes, when a page gets squeezed into a mobile format, it causes some of the key information to move below the fold.
Now, instead of seeing a headline that matches what they saw in search, mobile users only see your site’s navigation menu.
Assuming the page doesn’t offer what they need, they bounce back to Google.
If you see a page with a high bounce rate and no glaring issues immediately jump out to you, test it on your mobile phone.
You can also check for mobile issues in Google Search Console and Lighthouse.
11. Content Depth*
Google can give people quick answers through featured snippets and knowledge panels; you can give people deep, interesting, interconnected content that’s a step beyond that.
Make sure your content compels people to click to explore other pages on your site if it makes sense.
Provide interesting, relevant internal links, and give them a reason to stay.
And for the crowd that wants the quick answer, give them a TL;DR summary at the top.
*This is another example where GA4’s engagement rate may be a superior metric to UA’s bounce rate. If your content is deeply engrossing, people will keep reading after the 10-second mark, leading GA4 to count their session as “engaged” instead of a bounce.
12. Asking For Too Much
Don’t ask someone for their credit card number, social security, grandmother’s pension, and children’s names right off the bat (or ever, in some of those examples) – your user doesn’t trust you yet.
People are ready to be suspicious, considering how many scam websites are out there.
Being presented with a big pop-up asking for info will cause a lot of people to bounce immediately.
Your job is to build trust with your visitors.
Do so, and you’ll both be happier. Your visitor will feel like they can trust you, and you’ll have a lower bounce rate.
Either way, if it makes users happy, Google likes it.
Pro Tips For Reducing Your Bounce Rate
Regardless of the reason behind your high bounce rate, here’s a summary of best practices you can implement to bring it down.
Make Sure Your Content Lives Up To The Hype
Together, you can think of your title tag and meta description as your website’s virtual billboard on Google.
Whatever you’re advertising in the SERPs, your content needs to match.
Don’t call your page an “ultimate guide” if it’s a short post with three tips.
Don’t claim to be the “best” vacuum if your user reviews show a three-star rating.
You get the idea.
Also, make your content readable:
- Break up your text with lots of white space.
- Add supporting images.
- Use short sentences.
- Spellcheck is your friend.
- Use a good, clean design.
- Don’t bombard visitors with too many ads.
Keep Critical Elements Above The Fold
Sometimes, your content matches what you advertise in your title tag and meta description. It’s just that your visitors can’t tell at first glance.
When people arrive on a website, they make an immediate first impression.
You want that first impression to validate whatever they thought they were going to see when they arrived.
A prominent H1 should match the title they read on Google.
If it’s an ecommerce site, a photo should match the product description they saw on Google.
Also, make sure these elements aren’t obscured by pop-ups or advertisements.
Speed Up Your Site
When it comes to SEO, faster is always better.
Keeping up with site speed is a task that should remain firmly stuck at the top of your SEO to-do list.
There will always be new ways to compress, optimize, and otherwise accelerate load time. For now, make sure to:
- Compress all images before loading them to your site, and only use the maximum display size necessary.
- Review and remove any external or load-heavy scripts, stylesheets, and plugins. If there are any you don’t need, remove them. For the ones you do need, see if there’s a faster option.
- Tackle the basics: Use a CDN, minify JavaScript and CSS, and set up browser caching.
- Check Lighthouse for more suggestions.
Minimize Non-Essential Elements
Don’t bombard your visitors with pop-up ads, in-line promotions, and other content they don’t care about.
Visual overwhelm can cause visitors to bounce.
What CTA is the most important for the page?
Compellingly highlight that.
For everything else, delegate it to your sidebar or footer.
Edit, edit, edit!
Help People Get Where They Want To Be Faster
Want to encourage people to browse more of your site?
Make it easy for them.
- Leverage on-site search with predictive search, helpful filters, and an optimized “no results found” page.
- Rework your navigation menu and A/B test how complex vs. simple drop-down menus affect your bounce rate.
- Include a Table of Contents in your long-form articles with anchor links taking people straight to the section they want to read.
Conclusion
Remember: Bounce rates are just one metric.
A high bounce rate doesn’t mean the end of the world.
Some well-designed, effective webpages have high bounce rates – and that’s okay.
Bounce rates can be a measure of how well your site is performing, but it’s good to keep them in context.
Hopefully, this article helped you diagnose what’s causing your high bounce rate, and you have a good idea of how to fix it.
Not sure where to start?
Make your site useful, user-focused, and fast – good sites attract good users.
More Resources:
Featured Image: Cagkan Sayin/Shutterstock
SEO
How Compression Can Be Used To Detect Low Quality Pages
The concept of Compressibility as a quality signal is not widely known, but SEOs should be aware of it. Search engines can use web page compressibility to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords, making it useful knowledge for SEO.
Although the following research paper demonstrates a successful use of on-page features for detecting spam, the deliberate lack of transparency by search engines makes it difficult to say with certainty if search engines are applying this or similar techniques.
What Is Compressibility?
In computing, compressibility refers to how much a file (data) can be reduced in size while retaining essential information, typically to maximize storage space or to allow more data to be transmitted over the Internet.
TL/DR Of Compression
Compression replaces repeated words and phrases with shorter references, reducing the file size by significant margins. Search engines typically compress indexed web pages to maximize storage space, reduce bandwidth, and improve retrieval speed, among other reasons.
This is a simplified explanation of how compression works:
- Identify Patterns:
A compression algorithm scans the text to find repeated words, patterns and phrases - Shorter Codes Take Up Less Space:
The codes and symbols use less storage space then the original words and phrases, which results in a smaller file size. - Shorter References Use Less Bits:
The “code” that essentially symbolizes the replaced words and phrases uses less data than the originals.
A bonus effect of using compression is that it can also be used to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords.
Research Paper About Detecting Spam
This research paper is significant because it was authored by distinguished computer scientists known for breakthroughs in AI, distributed computing, information retrieval, and other fields.
Marc Najork
One of the co-authors of the research paper is Marc Najork, a prominent research scientist who currently holds the title of Distinguished Research Scientist at Google DeepMind. He’s a co-author of the papers for TW-BERT, has contributed research for increasing the accuracy of using implicit user feedback like clicks, and worked on creating improved AI-based information retrieval (DSI++: Updating Transformer Memory with New Documents), among many other major breakthroughs in information retrieval.
Dennis Fetterly
Another of the co-authors is Dennis Fetterly, currently a software engineer at Google. He is listed as a co-inventor in a patent for a ranking algorithm that uses links, and is known for his research in distributed computing and information retrieval.
Those are just two of the distinguished researchers listed as co-authors of the 2006 Microsoft research paper about identifying spam through on-page content features. Among the several on-page content features the research paper analyzes is compressibility, which they discovered can be used as a classifier for indicating that a web page is spammy.
Detecting Spam Web Pages Through Content Analysis
Although the research paper was authored in 2006, its findings remain relevant to today.
Then, as now, people attempted to rank hundreds or thousands of location-based web pages that were essentially duplicate content aside from city, region, or state names. Then, as now, SEOs often created web pages for search engines by excessively repeating keywords within titles, meta descriptions, headings, internal anchor text, and within the content to improve rankings.
Section 4.6 of the research paper explains:
“Some search engines give higher weight to pages containing the query keywords several times. For example, for a given query term, a page that contains it ten times may be higher ranked than a page that contains it only once. To take advantage of such engines, some spam pages replicate their content several times in an attempt to rank higher.”
The research paper explains that search engines compress web pages and use the compressed version to reference the original web page. They note that excessive amounts of redundant words results in a higher level of compressibility. So they set about testing if there’s a correlation between a high level of compressibility and spam.
They write:
“Our approach in this section to locating redundant content within a page is to compress the page; to save space and disk time, search engines often compress web pages after indexing them, but before adding them to a page cache.
…We measure the redundancy of web pages by the compression ratio, the size of the uncompressed page divided by the size of the compressed page. We used GZIP …to compress pages, a fast and effective compression algorithm.”
High Compressibility Correlates To Spam
The results of the research showed that web pages with at least a compression ratio of 4.0 tended to be low quality web pages, spam. However, the highest rates of compressibility became less consistent because there were fewer data points, making it harder to interpret.
Figure 9: Prevalence of spam relative to compressibility of page.
The researchers concluded:
“70% of all sampled pages with a compression ratio of at least 4.0 were judged to be spam.”
But they also discovered that using the compression ratio by itself still resulted in false positives, where non-spam pages were incorrectly identified as spam:
“The compression ratio heuristic described in Section 4.6 fared best, correctly identifying 660 (27.9%) of the spam pages in our collection, while misidentifying 2, 068 (12.0%) of all judged pages.
Using all of the aforementioned features, the classification accuracy after the ten-fold cross validation process is encouraging:
95.4% of our judged pages were classified correctly, while 4.6% were classified incorrectly.
More specifically, for the spam class 1, 940 out of the 2, 364 pages, were classified correctly. For the non-spam class, 14, 440 out of the 14,804 pages were classified correctly. Consequently, 788 pages were classified incorrectly.”
The next section describes an interesting discovery about how to increase the accuracy of using on-page signals for identifying spam.
Insight Into Quality Rankings
The research paper examined multiple on-page signals, including compressibility. They discovered that each individual signal (classifier) was able to find some spam but that relying on any one signal on its own resulted in flagging non-spam pages for spam, which are commonly referred to as false positive.
The researchers made an important discovery that everyone interested in SEO should know, which is that using multiple classifiers increased the accuracy of detecting spam and decreased the likelihood of false positives. Just as important, the compressibility signal only identifies one kind of spam but not the full range of spam.
The takeaway is that compressibility is a good way to identify one kind of spam but there are other kinds of spam that aren’t caught with this one signal. Other kinds of spam were not caught with the compressibility signal.
This is the part that every SEO and publisher should be aware of:
“In the previous section, we presented a number of heuristics for assaying spam web pages. That is, we measured several characteristics of web pages, and found ranges of those characteristics which correlated with a page being spam. Nevertheless, when used individually, no technique uncovers most of the spam in our data set without flagging many non-spam pages as spam.
For example, considering the compression ratio heuristic described in Section 4.6, one of our most promising methods, the average probability of spam for ratios of 4.2 and higher is 72%. But only about 1.5% of all pages fall in this range. This number is far below the 13.8% of spam pages that we identified in our data set.”
So, even though compressibility was one of the better signals for identifying spam, it still was unable to uncover the full range of spam within the dataset the researchers used to test the signals.
Combining Multiple Signals
The above results indicated that individual signals of low quality are less accurate. So they tested using multiple signals. What they discovered was that combining multiple on-page signals for detecting spam resulted in a better accuracy rate with less pages misclassified as spam.
The researchers explained that they tested the use of multiple signals:
“One way of combining our heuristic methods is to view the spam detection problem as a classification problem. In this case, we want to create a classification model (or classifier) which, given a web page, will use the page’s features jointly in order to (correctly, we hope) classify it in one of two classes: spam and non-spam.”
These are their conclusions about using multiple signals:
“We have studied various aspects of content-based spam on the web using a real-world data set from the MSNSearch crawler. We have presented a number of heuristic methods for detecting content based spam. Some of our spam detection methods are more effective than others, however when used in isolation our methods may not identify all of the spam pages. For this reason, we combined our spam-detection methods to create a highly accurate C4.5 classifier. Our classifier can correctly identify 86.2% of all spam pages, while flagging very few legitimate pages as spam.”
Key Insight:
Misidentifying “very few legitimate pages as spam” was a significant breakthrough. The important insight that everyone involved with SEO should take away from this is that one signal by itself can result in false positives. Using multiple signals increases the accuracy.
What this means is that SEO tests of isolated ranking or quality signals will not yield reliable results that can be trusted for making strategy or business decisions.
Takeaways
We don’t know for certain if compressibility is used at the search engines but it’s an easy to use signal that combined with others could be used to catch simple kinds of spam like thousands of city name doorway pages with similar content. Yet even if the search engines don’t use this signal, it does show how easy it is to catch that kind of search engine manipulation and that it’s something search engines are well able to handle today.
Here are the key points of this article to keep in mind:
- Doorway pages with duplicate content is easy to catch because they compress at a higher ratio than normal web pages.
- Groups of web pages with a compression ratio above 4.0 were predominantly spam.
- Negative quality signals used by themselves to catch spam can lead to false positives.
- In this particular test, they discovered that on-page negative quality signals only catch specific types of spam.
- When used alone, the compressibility signal only catches redundancy-type spam, fails to detect other forms of spam, and leads to false positives.
- Combing quality signals improves spam detection accuracy and reduces false positives.
- Search engines today have a higher accuracy of spam detection with the use of AI like Spam Brain.
Read the research paper, which is linked from the Google Scholar page of Marc Najork:
Detecting spam web pages through content analysis
Featured Image by Shutterstock/pathdoc
SEO
New Google Trends SEO Documentation
Google Search Central published new documentation on Google Trends, explaining how to use it for search marketing. This guide serves as an easy to understand introduction for newcomers and a helpful refresher for experienced search marketers and publishers.
The new guide has six sections:
- About Google Trends
- Tutorial on monitoring trends
- How to do keyword research with the tool
- How to prioritize content with Trends data
- How to use Google Trends for competitor research
- How to use Google Trends for analyzing brand awareness and sentiment
The section about monitoring trends advises there are two kinds of rising trends, general and specific trends, which can be useful for developing content to publish on a site.
Using the Explore tool, you can leave the search box empty and view the current rising trends worldwide or use a drop down menu to focus on trends in a specific country. Users can further filter rising trends by time periods, categories and the type of search. The results show rising trends by topic and by keywords.
To search for specific trends users just need to enter the specific queries and then filter them by country, time, categories and type of search.
The section called Content Calendar describes how to use Google Trends to understand which content topics to prioritize.
Google explains:
“Google Trends can be helpful not only to get ideas on what to write, but also to prioritize when to publish it. To help you better prioritize which topics to focus on, try to find seasonal trends in the data. With that information, you can plan ahead to have high quality content available on your site a little before people are searching for it, so that when they do, your content is ready for them.”
Read the new Google Trends documentation:
Get started with Google Trends
Featured Image by Shutterstock/Luis Molinero
SEO
All the best things about Ahrefs Evolve 2024
Hey all, I’m Rebekah and I am your Chosen One to “do a blog post for Ahrefs Evolve 2024”.
What does that entail exactly? I don’t know. In fact, Sam Oh asked me yesterday what the title of this post would be. “Is it like…Ahrefs Evolve 2024: Recap of day 1 and day 2…?”
Even as I nodded, I couldn’t get over how absolutely boring that sounded. So I’m going to do THIS instead: a curation of all the best things YOU loved about Ahrefs’ first conference, lifted directly from X.
Let’s go!
OUR HUGE SCREEN
The largest presentation screen I’ve ever seen! #ahrefsevolve pic.twitter.com/oboiMFW1TN
— Patrick Stox (@patrickstox) October 24, 2024
This is the biggest presentation screen I ever seen in my life. It’s like iMax for SEO presentations. #ahrefsevolve pic.twitter.com/sAfZ1rtePx
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024
CONFERENCE VENUE ITSELF
It was recently named the best new skyscraper in the world, by the way.
The Ahrefs conference venue feels like being in inception. #AhrefsEvolve pic.twitter.com/18Yjai1Cej
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024
I’m in Singapore for @ahrefs Evolve this week. Keen to connect with people doing interesting work on the future of search / AI #ahrefsevolve pic.twitter.com/s00UkIbxpf
— Alex Denning (@AlexDenning) October 23, 2024
OUR AMAZING SPEAKER LINEUP – SUPER INFORMATIVE, USEFUL TALKS!
A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024
“would I even do this if Google didn’t exist?” – what a great question to assess if you actually have the right focus when creating content amazing presentation from @amandaecking at #AhrefsEvolve pic.twitter.com/a6OKbKxwiS
— Aleyda Solis ️ (@aleyda) October 24, 2024
Attending @CyrusShepard ‘s talk on WTF is Helpful Content in Google’s algorithm at #AhrefsEvolve
“Focus on people first content”
Super relevant for content creators who want to stay ahead of the ever evolving Google search curve! #SEOTalk #SEO pic.twitter.com/KRTL13SB0g
This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
— Parth Suba (@parthsuba77) October 24, 2024
@thinking_slows thoughts on AI content – “it’s very good if you want to be average”.
We can do a lot better and Ryan explains how. Love it @ahrefs #AhrefsEvolve pic.twitter.com/qFqWs6QBH5
— Andy Chadwick (@digitalquokka) October 24, 2024
A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024
This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
GREAT MUSIC
First time I’ve ever Shazam’d a track during SEO conference ambience…. and the track wasn’t even Shazamable! #AhrefsEvolve @ahrefs pic.twitter.com/ZDzJOZMILt
— Lily Ray (@lilyraynyc) October 24, 2024
AMAZING GOODIES
Ahrefs Evolveきました!@ahrefs @AhrefsJP #AhrefsEvolve pic.twitter.com/33EiejQPdX
— さくらぎ (@sakuragi_ksy) October 24, 2024
Aside from the very interesting topics, what makes this conference even cooler are the ton of awesome freebies
Kudos for making all of these happen for #AhrefsEvolve @ahrefs team pic.twitter.com/DGzk5FSTN8
— Krista Melgarejo (@kimelgarejo) October 24, 2024
Content Goblin and SEO alligator party stickers are definitely going on my laptop. @ahrefs #ahrefsevolve pic.twitter.com/QBsBuY5Yix
— Patrick Stox (@patrickstox) October 24, 2024
This is one of the best swag bags I’ve received at any conference!
Either @ahrefs actually cares or the other conference swag bags aren’t up to par w Ahrefs!#AhrefsEvolve pic.twitter.com/Yc9e6wZPHn— Moses Sanchez (@SanchezMoses) October 25, 2024
SELFIE BATTLE
Some background: Tim and Sam have a challenge going on to see who can take the most number of selfies with all of you. Last I heard, Sam was winning – but there is room for a comeback yet!
Got the rare selfie with both @timsoulo and @samsgoh #AhrefsEvolve
— Bernard Huang (@bernardjhuang) October 24, 2024
THAT BELL
Everybody’s just waiting for this one.
@timsoulo @ahrefs #AhrefsEvolve pic.twitter.com/6ypWaTGDDP
— Jinbo Liang (@JinboLiang) October 24, 2024
STICKER WALL
Viva la vida, viva Seo!
Awante Argentina loco!#AhrefsEvolve pic.twitter.com/sfhbI2kWSH
— Gaston Riera. (@GastonRiera) October 24, 2024
AND, OF COURSE…ALL OF YOU!
#AhrefsEvolve let’s goooooooooooo!!! pic.twitter.com/THtdvdtUyB
— Tim Soulo (@timsoulo) October 24, 2024
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There’s a TON more content on LinkedIn – click here – but I have limited time to get this post up and can’t quite figure out how to embed LinkedIn posts so…let’s stop here for now. I’ll keep updating as we go along!
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