SEO is a major aspect of any marketing strategy. It’s the backbone of search engine optimization and an integral part to digital marketing in general. However, it can be difficult for companies and individuals alike to know exactly what works best when creating their own campaigns. There are so many factors that go into SEO, which makes experimenting with new ideas incredibly important.,
The “20+ seo experiments to get more organic traffic” is a blog post that talks about 20 different seo experiments that can be done in order to get more organic traffic. The article also includes the “Must Have” text.
Everyone has an opinion on SEO, but what I like about it is that evidence always wins the fight; either it worked or it didn’t. That’s why Will Critchlow of Distilled and I came together to speak about several SEO experiments, some of which you may have conducted yourself. Some of these insane experiments will astound you.
Will and I discussed 10 tests in our previous webinar; here, I’ll go through six more.
I’d want to start with some instances of fairly typical advice that you’ve undoubtedly read on many sites, and that you’ve probably provided if you’ve ever hired an SEO consultant or worked in SEO. There are some made-up cases as well, with fictitious clients and customers. These are the counterparts of tests we’ve conducted with anonymous websites:
First SEO Experiment: What is a decent organic search click-through rate?
I basically utilize “time-lapse photography” to quantify this. In this case, I tracked 1,000 distinct keywords throughout the course of the previous year, the same 1,000 keywords, and I took pictures in May, June, September, and so on.
The arrangement of these terms had an effect on the search ranks, I discovered. The search ranks in this research changed in a relatively predictable fashion from month to month. The terms with higher predicted click-through rates floated to the top of the page, while the keywords with lower expected click-through rates floated to the bottom.
Second SEO Experiment: Does the click-through rate affect rankings?
The influence of rankings on click-through rates is evident, but is there a feedback loop? Is the inverse true? Is it true that a greater-than-expected click-through rate feeds back into the algorithm and results in a better ranking?
We looked at relative organic click-through rates to see whether any keywords were outperforming or underperforming the predicted click-through rate. We discovered that all you had to do is outperform the average projected click-through rate for any given slot by 3% on average to get promoted to the next position.
Optimization of the title tag is the third SEO experiment.
In this example, the original title is the red one on the top below on the slide where it says “Guerilla Marketing: 20+ Examples & Strategies to Stand Out,” which is the old way of doing it where you take the primary keyword and stuff it at the beginning of the title page. However, in order to make it more “clicky,” I rearranged the words to make it “20+ Jaw-Dropping Guerilla Marketing Examples and Strategies.” By adding that action word “jaw-dropping” and then moving the number to the front, it had a profound impact on both click-through rate and rank.
Click-through rate optimization is intriguing because, even if your rank does not change, you will quadruple your traffic since you will get more than your fair portion of clicks for your current position. However, there are methods to boost your click-through rates without affecting your position, and if it works, which is often the case, it’s almost like a double bonus.
CTR increases are really beneficial. Even if you don’t accept my notion that greater click-through rates improve ranks, it’s still useful since higher click-through rates imply more and more clicks.
Do engagement rates affect ranks in the fourth SEO experiment?
We know Google monitors dwell time since they used to have a feature where if you pushed “back” really rapidly, it would actually block the site; today, if you hit “back” very quickly on mobile, it will show “People also search for.”
Google is keeping track of how long it takes you to click anything and then return to the same page. Could they be utilizing that data to determine if the search results are relevant or not? Sure enough, I couldn’t monitor dwell time since it’s tracked by the Google search page, and we can’t track other comparable metrics like bounce rates or duration on site. You are qualified to appear in the top four slots if you have a very low bounce rate. On the other hand, if you have a high bounce rate, you’re less likely to be in the top spots.
The graph above shows a discontinuity that implies an algorithmic filter (as opposed to a naturally occurring relationship). If you spend enough time on site, you should be able to get into the top six spots. Otherwise, you’ll be assigned to positions 7, 8, 9, 10, and so on.
What is the true link between social sharing and organic ranks, according to the fifth SEO experiment?
For years, Google claimed that social signals are used to rank sites, but if you’ve ever done any SEO, you’ve definitely discovered that your greatest SEO is also dominating Facebook shares. There is a link, but it isn’t what you expect; instead, the search results that people prefer to click on and have high click-through rates also have high click-through rates when shared on social networking sites.
This is due to the fact that the same emotions that drive individuals to click on items also drive them to share things on Facebook:
This graph compares click-through rates for Facebook posts to post-engagement rates, standardized by position on the search results page. Since you can see, material that does well on one platform tends to perform well on the other, as both Google search and Facebook’s news feed algorithms utilize machine-learning techniques that reward strong user interaction with increased exposure.
The sixth SEO experiment is to see how time (bounce rate) affects SEO ranks.
A comparative report in Google Analytics informs you how much time people spend on each page. This report displays all of the information that is bringing visitors to your website. The year 2015 is used in the example below (January to December of 2015). You can discover the most popular SEO pages. The majority of them had above-average time on page (green bars), but 1/3 of them had red bars, indicating that they were really beneath the site’s average time on page.
Fast forward to October 2016 and January 2017; you can see how much has changed and how Google has discovered and removed all of the donkey pages. All of those pages with lower-than-average time on site were discovered by Google and removed from consideration for my top evergreen SEO pages. They have no business ranking for any of those keywords; they are vulnerable sites that must be corrected or will be removed shortly.
These are just a handful of the experiments that I spoke about in my last webinar. Some of the preceding trials are comparable to SEMrush’s recently released Ranking Factors Study. Despite the fact that we have seen somewhat different things, I feel we are looking at the same phenomena from various perspectives. You may find a more detailed explanation here, as well as many of the others that have been finished.
If you’d like to see my webinar slides, you may do so by clicking here. Will’s may also be found by clicking here. Please note that these SEO tests were done in 2017.
The “easy experiments for kids” is a blog that offers easy experiments for business owners to try. The author, Randy Harris, has also written other blogs on the topic of marketing.
Frequently Asked Questions
How do you do an SEO experiment?
A: An experiment on search engine optimization is a test designed to see what factors affect how well or poorly a website ranks in the results of certain searches. In this situation, one would test for which phrases people are using and then see if changes their ranking significantly.
How can I write SEO in my mind?
A: This is not possible.
What are some real world impacts of SEO?
A: The term search engine optimization refers to the process of optimizing a website or webpage in order to help it rank higher and attract more visitors. Search engines use algorithms called PageRank which determines how many other high-quality websites link back to your site, as well as factors such as keyword relevance and page load time. With this ranking system, sites that are perceived by search engines to be high quality have an increased chance at attracting new visitors because they will appear near the top of searches for related queries
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