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A Guide To Social Media Algorithms & How They Work

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A Guide To Social Media Algorithms & How They Work

Why do so many marketers keep asking, “How do social media algorithms work?” Because the algorithms for the major platforms can change quickly.

But, marketers should also keep asking, “Which social media platforms have the most users?” Because that data can change frequently, as well.

So, here are the latest answers to the first question about the algorithms for the eight platforms that you should be considering today.

Spoiler alert: This update contains some surprising shifts in the latest data on monthly unique visitors, monthly visits, and monthly average visit duration from SimilarWeb.

How Does The YouTube Algorithm Work?

YouTube got 1.953 billion unique visitors worldwide in May 2022. The platform received 35.083 billion monthly visits that month with an average visit duration of 21:41.

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Now, some social media marketers may be shocked, shocked to find YouTube ranking ahead of Facebook.

But, SimilarWeb’s data above is only for desktop and mobile web channels. It doesn’t include data for connected TVs, which became the fastest-growing screen among YouTube viewers in 2020.

This makes it imperative to know how YouTube’s algorithm works.

YouTube’s algorithm tries to match each viewer to the videos they’re most likely to watch and enjoy. But, with over 500 hours of video content uploaded every minute, this is a Herculean task.

YouTube’s search and discovery systems tackle this challenge by paying close attention to:

  • What viewers watch.
  • What they don’t watch.
  • How much time do they spend watching?
  • What do they share and like?

Next, you need to learn that YouTube has multiple algorithms, including ones for:

  • YouTube Search: Videos are ranked based on how well titles, descriptions, and video content match the viewer’s search and which videos get the most engagement for a search.
  • Up Next: The ranking of suggested videos is based on machine learning’s understanding of which ones viewers are most likely to watch next. These videos are often related to the video a viewer is watching, but they can also be personalized based on the viewer’s watch history.
  • Your homepage: Videos are selected based on how often viewers watch a channel or topic, how well similar videos have interested and satisfied similar viewers, and how many times YouTube has already shown each video to a viewer.
  • YouTube Shorts: YouTube wants both short and long videos to succeed. So, relative watch time is generally more important for short videos, while absolute watch time is generally more important for longer videos.

So, what should you do next?

First, read my column, How To Optimize YouTube Videos To Help Ukraine, which provides tips on keyword research, title optimization, writing descriptions, custom thumbnails, and other video SEO best practices.

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Next, read Jon Clark’s article, 13 Key Elements Of Successful YouTube Videos. He focuses on how to make a great video.

Why is that important? Because YouTube’s search and discovery system “finds” videos for each viewer and their varying interests in order to get them to watch more videos that they’ll enjoy so they’ll come back to YouTube regularly.

How Does The Facebook Algorithm Work?

Facebook got only 1.620 billion unique visitors worldwide in May. The platform received 19.739 billion visits that month with an average session duration of 10:05.

Now, Facebook’s unique visitors started dipping worldwide in February 2022.

But, as you can see in the chart below, there was a substantial drop in unique visitors in Russia in early March, after Russia blocked Facebook in an effort to control the spread of information on the invasion of Ukraine.

Screenshot courtesy of Similarweb, June 2022

This had a negative impact on Facebook’s total unique visitors worldwide, which were already losing momentum. Nevertheless, the platform is still too big to ignore.

So, how does Facebook’s algorithm work today?

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Well, we knew how Facebook’s News Feed ranking process worked in December 2021 when Anna Stepanov, Head of Facebook App Integrity, wrote a post that said:

“News Feed uses personalized ranking, which takes into account thousands of unique signals to understand what’s most meaningful to you. Our aim isn’t to keep you scrolling on Facebook for hours on end, but to give you an enjoyable experience that you want to return to.”

And she summarized half a dozen of the biggest changes Facebook had made in 2021 to give users more control over, and insight into, how content appears in their News Feed.

This included publishing a new series of Widely Viewed Content Reports to share what content is seen by the most people in News Feed in the U.S.

Ironically, Facebook’s latest Widely Viewed Content Report showed the top four domains in Q4 2021:

  • youtube.com (168.1 million content viewers).
  • media1.tenor.co (118.4 million).
  • gofundme.com (112.4 million).
  • tiktok.com (105.0 million).

But, then in February 2022, Matt G. Southern reported Facebook Shifts Focus To Short-Form Video After Stock Plunge. And on June 16, 2022, Southern reported Facebook To Restructure Main Feed Around Video Content.

So, what should you do next? First, read Southern’s stories and learn why Tom Alison, head of Facebook, plans to turn its main feed into a “discovery engine” for video content.

According to Alison, the main tab in the Facebook app will become a mix of Stories and Reels at the top, followed by posts that its discovery engine will recommend from across both Facebook and Instagram.

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Next, follow Southern’s expert, authoritative, and trustworthy advice:

“The best way to prepare for this change, if Facebook is a priority for you and your business, is to get comfortable with creating and publishing more short form video. While Facebook will continue to surface text and photo posts, they’ll be ancillary to the main attractions of Reels and Stories.”

How Does The Instagram Algorithm Work?

Instagram got 1.050 billion unique visitors worldwide in May. The platform received 6.497 billion visits that month with an average session duration of 07:51.

Russia has also banned Instagram, but the growth in unique visitors from other countries around the world has offset that.

So, you still need to know how Instagram’s algorithms work.

In June 2021, Adam Mosseri, the head of Instagram, wrote a post entitled, Shedding More Light On How Instagram Works. He revealed:

“Instagram doesn’t have one algorithm that oversees what people do and don’t see on the app. We use a variety of algorithms, classifiers, and processes, each with its own purpose.”

For the Feed and Stories, the key ranking signals are:

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  • Information about the post: How popular a post is, when it was posted, how long it is, if it’s a video, and if it’s attached to a location.
  • Information about the person who posted: How many times users have interacted with that person in the past few weeks.
  • User activity: What a user might be interested in and how many posts they’ve liked.
  • User history of interacting with someone: How interested a user is in seeing posts from a particular person.

For Explore, the key ranking signals are:

  • Information about the post: How popular a post seems to be as well as how many and how quickly other people are liking, commenting, sharing, and saving a post.
  • User history of interacting with someone: (See above.)
  • User activity: What posts a user has liked, saved, or commented on as well as how they’ve interacted with posts in Explore in the past.
  • Information about the person who posted: (See above.)

For Reels, the key ranking signals are:

  • User activity: Which Reels a user has liked, commented on, and engaged with recently.
  • User history of interacting with someone: (See above.)
  • Information about the reel: The audio track, video data such as pixels and whole frames, as well as popularity.
  • Information about the person who posted: (See above.)

So, each part of the app uses similar ranking signals, but their order of importance varies. Mosseri explained:

“People tend to look for their closest friends in Stories, but they want to discover something entirely new in Explore. We rank things differently in different parts of the app, based on how people use them.”

For more tips and advice, read the article by Shelley Walsh entitled, 22 Ways To Get More Instagram Followers Right Now. Then, read Amanda DiSilvestro’s article, How To Use Instagram Reels For Business.

How Does The Twitter Algorithm Work?

Twitter got 979 million unique visitors worldwide in May. The platform received 7.056 billion visits that month with an average session duration of 10.39.

This data does not screen for fake or spam accounts. Nevertheless, it’s worth investing the time and effort to keep up with how Twitter’s algorithm works.

Like most social media platforms, Twitter has multiple algorithms.

Twitter says its “algorithmic Home timeline displays a stream of Tweets from accounts you have chosen to follow on Twitter, as well as recommendations of other content we think you might be interested in based on accounts you interact with frequently, Tweets you engage with, and more.”

If users want to, they can click on the star symbol to see the latest Tweets as they happen. But, few people choose to drink water from a firehose.

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If they want to, users can click on “Explore” and see Trending tweets or ones about COVID-19, News, Sports, and Entertainment.

If users want to, they can click on “More” to see the Topics that Twitter thinks they’re interested in.

Like most social media platforms, Twitter’s algorithms use machine learning to sort content based on different ranking signals.

And it’s worth noting that Twitter is currently involved in analyzing the results of its algorithms as part of its “responsible machine learning initiative.”

Here’s what Twitter has said publicly about its Home timeline, Trends, and Topics ranking signals:

Relevance:

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  • ​​Users’ previous actions on Twitter, like their own Tweets and Tweets they’ve engaged with.
  • Accounts they often engage with.
  • Topics they follow and engage with most.
  • The number of Tweets related to a topic.
  • For Trends: their location.

Engagement:

  • For Tweets: “How popular it is and how people in your network are interacting with [the Tweet].”
  • For Trends: “The number of Tweets related to the Trend.”
  • For Topics: “How much people are Tweeting, Retweeting, replying, and liking Tweets about that Topic.”

Recency:

  • For Trends: “Topics that are popular now, rather than topics that have been popular for a while or on a daily basis.”

Rich Media:

  • The type of media the Tweet includes like an image, video, GIF, and polls.

For more advice and tips, read Lisa Buyer’s article, 8 Terrific Tips To Optimize A Twitter Business Or Brand Profile. Then, read the article by Julia McCoy entitled, How To Be A Top Tweeter: 10 Tips That Will Get Your Tweets Noticed.

How Does The TikTok Algorithm Work?

TikTok got 690 million monthly visitors worldwide in May. The platform received 1.766 billion visits that month with an average session duration of 03:48.

This data doesn’t include Douyin.com, which is counted separately. But, as the chart below illustrates, TikTok.com gets about 98% of the unique visitors worldwide for both of the ByteDance apps.

TikTok.com gets about 98% of the unique visitors worldwideScreenshot courtesy of Similarweb, June 2022

So, you should probably learn how TikTok’s algorithm works ASAP.

In June 2020, TikTok revealed how its recommendation system selected videos in a post entitled, How TikTok recommends videos #ForYou.

Little has fundamentally changed since then, except the U.S. government is no longer trying to ban the social media platform.

TikTok’s For You feed presents a stream of videos curated to each user’s interests, making it easy for a user to find content and creators they love.

In other words, there isn’t one For You feed for over one billion monthly active TikTok users. There are a billion For You feeds tailored to what each user watches, likes, and shares.

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TikTok added, “This feed is powered by a recommendation system that delivers content to each user that is likely to be of interest to that particular user.”

And recommendations are based on a number of factors, including:

  • User interactions such as the videos they like or share, accounts they follow, comments they post, and content they create.
  • Video information, which might include details like captions, sounds, and hashtags.
  • Device and account settings like their language preference, country setting, and device type.

TikTok also revealed:

“All these factors are processed by our recommendation system and weighted based on their value to a user. A strong indicator of interest, such as whether a user finishes watching a longer video from beginning to end, would receive greater weight than a weak indicator, such as whether the video’s viewer and creator are both in the same country.

Videos are then ranked to determine the likelihood of a user’s interest in a piece of content, and delivered to each unique For You feed.”

On the other hand, TikTok said:

“While a video is likely to receive more views if posted by an account that has more followers, by virtue of that account having built up a larger follower base, neither follower count nor whether the account has had previous high-performing videos are direct factors in the recommendation system.”

So, what should you do next? First, read Miranda Miller’s article, 40+ TikTok Stats Digital Marketers Need To Know. Then, read my column, How TikTok’s Search Algorithms Power Content Discovery.

How Does The Pinterest Algorithm Work?

Pinterest got 409 million unique visitors worldwide in May. The platform received 945 million visits that month with an average session duration of 05:29.

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With Instagram declaring it is “no longer just a square photo-sharing app,” this is the time to learn how Pinterest’s algorithm works.

The ranking factors on Pinterest relate more to engagement metrics and social shares, but it also involves keywords.

And Pinterest autocomplete provides ideas by automatically suggesting semantically related modifiers to a core keyword.

Pinterest’s search feature then curates a user’s “feed” based on what they’re searching for and how those key terms are used in the Pins being shared by content creators.

Pinterest also categorizes and sub-categorizes topics to make it easy to find keywords for your particular niche.

To optimize your Pins:

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  • Use long images: The optimal Pin size is 1,000 by 1,500 px or a ratio of 2:3.
  • Use eye-catching colors: Catch users’ attention and stand out with high-contrast colors.
  • Use enticing, keyword-rich titles: Entice users to click through to your content.
  • Use detailed descriptions: Include your target keywords in your descriptions.

Then, optimize your boards. Boards provide a great opportunity to tell Pinterest’s search engine how you categorize your products and/or organize your content, which will only aid visibility.

Finally, aim for engagement, which can increase your Pin’s (and your profile’s) visibility in search, increasing your traffic.

For additional information and advice, read Southern’s story, Pinterest Updates Algorithm To Surface More Content Types. Then, read Jessica Foster’s article, 12 Pinterest SEO Tips For High-Traffic Success.

How Does The LinkedIn Algorithm Work?

LinkedIn got 306 million unique visitors worldwide in May. The platform received 1.479 billion visits that month with an average session duration of 07:32.

So, social media marketers – especially ones at B2B organizations – need to know how LinkedIn’s algorithm works.

In June 2019, Pete Davies, Senior Director of Product Management at LinkedIn, wrote a post entitled, What’s in your LinkedIn Feed: People You Know, Talking about Things You Care About. He explained, “The more valuable the conversation, the higher in your feed the post will be.”

How does LinkedIn’s algorithm know if a conversation is valuable? It uses the following framework:

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  • People you know: LinkedIn’s algorithm looks at a user’s connections and prioritizes who they’ve interacted with directly through comments and reactions; the user’s implicit interests and experiences based on information in their profile; explicit signals, such as who a user works with; as well as who would benefit from hearing from the user.
  • Talking about: A lot of sophistication goes into understanding a good conversation. As a rule of thumb, better conversations are authentic and have a constructive back and forth.
  • Things you care about: LinkedIn’s algorithm also looks at whether the content and the conversation are relevant and interesting to a user. It considers a number of signals, including joining groups and following hashtags, people, and pages.

So, what should you do next? First, read Jessica Foster’s article, How The LinkedIn Algorithm Works & Optimizing For It. Then, read Matt G. Southern’s article, LinkedIn Debunks Algorithm Myths In New Video Series.

How Does The Reddit Algorithm Work?

Reddit got 237 million unique visitors worldwide in May. The platform received 1.669 billion visits that month with an average session duration of 09:59.

With Facebook setting its sights on video to regain its momentum, this is a good time to learn how Reddit’s algorithm works.

In June 2021, the official blog for Reddit posted Evolving the Best Sort for Reddit’s Home Feed. It provided insights into how Reddit determines which relevant posts to show users.

The post revealed that:

“Reddit’s systems build a list of potential candidate posts from multiple sources, pass the posts through multiple filtering steps, then rank the posts according to the specified sorting method. Over the years, we’ve built many options to choose from when it comes to sorting your Home feed.”

Here’s how each sort option recommends content:

  • “Hot” ranks using votes and post age.
  • “New” displays the most recently published posts.
  • “Top” shows users the highest vote count posts from a specified time range.
  • “Controversial” shows posts with both high count upvotes and downvotes.
  • “Rising” populates posts with lots of recent votes and comments.
  • ‘Best” uses machine learning algorithms to personalize the order in which users see posts.

For more tips and information, read the article by Brent Csutoras entitled, A Beginner’s Guide To Reddit: How To Get Started & Be Successful. Then, read Southern’s story, Reddit Makes Comments Searchable.

Why Should You Keep Asking Questions?

The latest data from SimilarWeb indicates that you should continue asking “Which social media platforms have the most users?” as well as “How do social media algorithms work?”

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Things change too quickly and frequently in this particular arena for anyone to think that past performance is even remotely indicative of future results.

More Resources:


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HARO Has Been Dead for a While

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HARO Has Been Dead for a While

Every SEO’s favorite link-building collaboration tool, HARO, was officially killed off for good last week by Cision. It’s now been wrapped into a new product: Connectively.

I know nothing about the new tool. I haven’t tried it. But after trying to use HARO recently, I can’t say I’m surprised or saddened by its death. It’s been a walking corpse for a while. 

I used HARO way back in the day to build links. It worked. But a couple of months ago, I experienced the platform from the other side when I decided to try to source some “expert” insights for our posts. 

After just a few minutes of work, I got hundreds of pitches: 

So, I grabbed a cup of coffee and began to work through them. It didn’t take long before I lost the will to live. Every other pitch seemed like nothing more than lazy AI-generated nonsense from someone who definitely wasn’t an expert. 

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Here’s one of them: 

Example of an AI-generated pitch in HAROExample of an AI-generated pitch in HARO

Seriously. Who writes like that? I’m a self-confessed dullard (any fellow Dull Men’s Club members here?), and even I’m not that dull… 

I don’t think I looked through more than 30-40 of the responses. I just couldn’t bring myself to do it. It felt like having a conversation with ChatGPT… and not a very good one! 

Despite only reviewing a few dozen of the many pitches I received, one stood out to me: 

Example HARO pitch that caught my attentionExample HARO pitch that caught my attention

Believe it or not, this response came from a past client of mine who runs an SEO agency in the UK. Given how knowledgeable and experienced he is (he actually taught me a lot about SEO back in the day when I used to hassle him with questions on Skype), this pitch rang alarm bells for two reasons: 

  1. I truly doubt he spends his time replying to HARO queries
  2. I know for a fact he’s no fan of Neil Patel (sorry, Neil, but I’m sure you’re aware of your reputation at this point!)

So… I decided to confront him 😉 

Here’s what he said: 

Hunch, confirmed ;)Hunch, confirmed ;)

Shocker. 

I pressed him for more details: 

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I’m getting a really good deal and paying per link rather than the typical £xxxx per month for X number of pitches. […] The responses as you’ve seen are not ideal but that’s a risk I’m prepared to take as realistically I dont have the time to do it myself. He’s not native english, but I have had to have a word with him a few times about clearly using AI. On the low cost ones I don’t care but on authority sites it needs to be more refined.

I think this pretty much sums up the state of HARO before its death. Most “pitches” were just AI answers from SEOs trying to build links for their clients. 

Don’t get me wrong. I’m not throwing shade here. I know that good links are hard to come by, so you have to do what works. And the reality is that HARO did work. Just look at the example below. You can tell from the anchor and surrounding text in Ahrefs that these links were almost certainly built with HARO: 

Example of links build with HARO, via Ahrefs' Site ExplorerExample of links build with HARO, via Ahrefs' Site Explorer

But this was the problem. HARO worked so well back in the day that it was only a matter of time before spammers and the #scale crew ruined it for everyone. That’s what happened, and now HARO is no more. So… 

If you’re a link builder, I think it’s time to admit that HARO link building is dead and move on. 

No tactic works well forever. It’s the law of sh**ty clickthroughs. This is why you don’t see SEOs having huge success with tactics like broken link building anymore. They’ve moved on to more innovative tactics or, dare I say it, are just buying links.

Sidenote.

Talking of buying links, here’s something to ponder: if Connectively charges for pitches, are links built through those pitches technically paid? If so, do they violate Google’s spam policies? It’s a murky old world this SEO lark, eh?

If you’re a journalist, Connectively might be worth a shot. But with experts being charged for pitches, you probably won’t get as many responses. That might be a good thing. You might get less spam. Or you might just get spammed by SEOs with deep pockets. The jury’s out for now. 

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My advice? Look for alternative methods like finding and reaching out to experts directly. You can easily use tools like Content Explorer to find folks who’ve written lots of content about the topic and are likely to be experts. 

For example, if you look for content with “backlinks” in the title and go to the Authors tab, you might see a familiar name. 😉 

Finding people to request insights from in Ahrefs' Content ExplorerFinding people to request insights from in Ahrefs' Content Explorer

I don’t know if I’d call myself an expert, but I’d be happy to give you a quote if you reached out on social media or emailed me (here’s how to find my email address).

Alternatively, you can bait your audience into giving you their insights on social media. I did this recently with a poll on X and included many of the responses in my guide to toxic backlinks.

Me, indirectly sourcing insights on social mediaMe, indirectly sourcing insights on social media

Either of these options is quicker than using HARO because you don’t have to sift through hundreds of responses looking for a needle in a haystack. If you disagree with me and still love HARO, feel free to tell me why on X 😉



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Google Clarifies Vacation Rental Structured Data

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Google updates their vacation rental structured data documentation

Google’s structured data documentation for vacation rentals was recently updated to require more specific data in a change that is more of a clarification than it is a change in requirements. This change was made without any formal announcement or notation in the developer pages changelog.

Vacation Rentals Structured Data

These specific structured data types makes vacation rental information eligible for rich results that are specific to these kinds of rentals. However it’s not available to all websites. Vacation rental owners are required to be connected to a Google Technical Account Manager and have access to the Google Hotel Center platform.

VacationRental Structured Data Type Definitions

The primary changes were made to the structured data property type definitions where Google defines what the required and recommended property types are.

The changes to the documentation is in the section governing the Recommended properties and represents a clarification of the recommendations rather than a change in what Google requires.

The primary changes were made to the structured data type definitions where Google defines what the required and recommended property types are.

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The changes to the documentation is in the section governing the Recommended properties and represents a clarification of the recommendations rather than a change in what Google requires.

Address Schema.org property

This is a subtle change but it’s important because it now represents a recommendation that requires more precise data.

This is what was recommended before:

“streetAddress”: “1600 Amphitheatre Pkwy.”

This is what it now recommends:

“streetAddress”: “1600 Amphitheatre Pkwy, Unit 6E”

Address Property Change Description

The most substantial change is to the description of what the “address” property is, becoming more descriptive and precise about what is recommended.

The description before the change:

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PostalAddress
Information about the street address of the listing. Include all properties that apply to your country.

The description after the change:

PostalAddress
The full, physical location of the vacation rental.
Provide the street address, city, state or region, and postal code for the vacation rental. If applicable, provide the unit or apartment number.
Note that P.O. boxes or other mailing-only addresses are not considered full, physical addresses.

This is repeated in the section for address.streetAddress property

This is what it recommended before:

address.streetAddress Text
The full street address of your vacation listing.

And this is what it recommends now:

address.streetAddress Text
The full street address of your vacation listing, including the unit or apartment number if applicable.

Clarification And Not A Change

Although these updates don’t represent a change in Google’s guidance they are nonetheless important because they offer clearer guidance with less ambiguity as to what is recommended.

Read the updated structured data guidance:

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Vacation rental (VacationRental) structured data

Featured Image by Shutterstock/New Africa

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Google On Hyphens In Domain Names

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What Google says about using hyphens in domain names

Google’s John Mueller answered a question on Reddit about why people don’t use hyphens with domains and if there was something to be concerned about that they were missing.

Domain Names With Hyphens For SEO

I’ve been working online for 25 years and I remember when using hyphens in domains was something that affiliates did for SEO when Google was still influenced by keywords in the domain, URL, and basically keywords anywhere on the webpage. It wasn’t something that everyone did, it was mainly something that was popular with some affiliate marketers.

Another reason for choosing domain names with keywords in them was that site visitors tended to convert at a higher rate because the keywords essentially prequalified the site visitor. I know from experience how useful two-keyword domains (and one word domain names) are for conversions, as long as they didn’t have hyphens in them.

A consideration that caused hyphenated domain names to fall out of favor is that they have an untrustworthy appearance and that can work against conversion rates because trustworthiness is an important factor for conversions.

Lastly, hyphenated domain names look tacky. Why go with tacky when a brandable domain is easier for building trust and conversions?

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Domain Name Question Asked On Reddit

This is the question asked on Reddit:

“Why don’t people use a lot of domains with hyphens? Is there something concerning about it? I understand when you tell it out loud people make miss hyphen in search.”

And this is Mueller’s response:

“It used to be that domain names with a lot of hyphens were considered (by users? or by SEOs assuming users would? it’s been a while) to be less serious – since they could imply that you weren’t able to get the domain name with fewer hyphens. Nowadays there are a lot of top-level-domains so it’s less of a thing.

My main recommendation is to pick something for the long run (assuming that’s what you’re aiming for), and not to be overly keyword focused (because life is too short to box yourself into a corner – make good things, course-correct over time, don’t let a domain-name limit what you do online). The web is full of awkward, keyword-focused short-lived low-effort takes made for SEO — make something truly awesome that people will ask for by name. If that takes a hyphen in the name – go for it.”

Pick A Domain Name That Can Grow

Mueller is right about picking a domain name that won’t lock your site into one topic. When a site grows in popularity the natural growth path is to expand the range of topics the site coves. But that’s hard to do when the domain is locked into one rigid keyword phrase. That’s one of the downsides of picking a “Best + keyword + reviews” domain, too. Those domains can’t grow bigger and look tacky, too.

That’s why I’ve always recommended brandable domains that are memorable and encourage trust in some way.

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Read the post on Reddit:

Are domains with hyphens bad?

Read Mueller’s response here.

Featured Image by Shutterstock/Benny Marty

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