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Seven Alternative Keyword Research Tactics to Uncover More Ranking Opportunities

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Keyword research, the bread and butter of my trade.

Everything, from SEO to content marketing to customer engagement, is hinging on finding and cornering the best and brightest keyword combinations within my little slice of the industry. So I am always looking for new ways I may have been missing that help me do that.

For the most part, you probably have the process down to an art (if you feel stuck, here are a few great keyword research tools for you to diversify the process). You know the steps, you are aware of how to use the data and have been doing it for long enough that you have watched the resulting benefits rolling in.

But could you be skipping a couple of the more creative tactics in keyword research? I was for a time. Here are some to consider implementing (if you weren’t already).

1. Organize Your Keyword Lists Properly

Long gone are the days when we had to create a landing page for every little variation of a keyword we were able to find. I am glad our industry is forced to evolve into a more integrated and smarter tactic.

These days search engines prefer long-form expert content that covers a lot of related concepts and is organized well.

Content structure starts at keyword research level – therefore keyword list organizing is a crucial step (which is overlooked by many content publishers, sadly)

Keyword clustering isn’t new but it’s more frequently discussed these days because it helps structure your content and optimize it for a lot of related terms. A more common approach to keyword clustering is finding a common term and going from there. This approach is very limiting but luckily we have more advanced tools at our disposal. Here’s a detailed keyword clustering guide I wrote for Search Engine Watch.

2. Research Questions Behind Search Queries

Google search offers a great way to research what people are wondering about when they type a query in the search box. We have all seen the expandable section that provides the question, offers a bit of an answer and allows the reader to click-through to learn more:

people-also-ask

More than that, it provides a chance for researching niche questions and thus understanding your audience better. That makes answering questions, especially niche queries that fewer sites are trying to answer, an awesome strategy.

Covering niche questions can diversify any site’s organic rankings:

  • “People Also Ask” results help you create better-targeted content (and attract more organic users)
  • “People Also Ask” results are closely connected to Google’s “Featured snippet” algorithm, which means that covering them in your content can give you additional exposure in search

We don’t know how exactly Google finds these questions and how its algorithm decides whether a certain question deserves to be listed there. But after years of using and optimizing for Google, I can be fairly sure that paying attention to whatever Google is showing is a solid marketing strategy.

Make “People Also Ask” results a part of your content research and optimization process. Look for the questions people are asking that you are uniquely qualified to answer. Then create content addressing them, attracting more organic leads and building your site authority.

Featured Snippet Optimization tool (Disclaimer: This tool is being developed by the company I work for) is the only way I am aware of that helps users discover more related questions based on Google’s “People Also Ask” results.

Simply run your domain through the tool for it to check your current rankings, grab all “People Also Ask” results it can find and generate the list sorted by the number of times each question popped up for your site’s important search queries:

featured snippet tool

Check any questions you feel like covering and click “Export” to get your choices in a handy Excel file. Use this file to structure your content.

It may be a good idea to run your competitor’s domain through the tool too in order to see where you can expand your research and which questions they are focusing on.

Apart from content creation, there are many more ways to use the results from the tool:

  • Optimize existing content to cover the identified questions
  • Create new content to address questions that are not covered yet
  • Add product Q&A to related products (This may help get product pages featured in Google).
  • Add a Frequently Asked Questions section or a Knowledge Base to your site and update it regularly with more and more questions you come across

3. Use Social Platforms For Keyword Validation

The platforms we have access to these days provide so much opportunity to understand your audience better by simply watching and recording what they do and what they talk about.

Social media is a goldmine of information, as well as a great way to directly engage with customers, would-be customers and influencers. You can also use it to validate your findings when it comes to keywords.

Social media questions

Because the influence of social platforms is so intense, keywords are not just important when it comes to general search. You can get some great insights from social media or even a way to establish a whole other style of keyword driven campaign. Since so much referral traffic comes from social media platforms, there is no excuse not to make it a big part of your efforts.

There are dozens of tools you can use for social media monitoring (Cyfe, TweetDeck, Hootsuite, SproutSocial… Here are more monitoring tools to bookmark.) All of those and the many others that exist are great, efficient methods of gathering social insights. But don’t underestimate the power of good ‘ol fashioned search and sort on the social platforms themselves. Adding a bit of human element means you have a better chance of establishing complete lists that use imagination in the search, something automated tools lack.

Use tools to monitor social media context but play with different search operators to find those that work well for you. I, for one, love using and monitoring question search:

The reason social media should be used for keyword research is that it provides real-life context: Actual people talking about your core topic. In this sense, tools that analyze social media context and provide related terms and hashtags can provide additional data for you to work with. If you need an example, try running a free trial report through Keyhole:

keyhole

4. Use Semantic Analysis

“Intent-based Q&A” is what is running Google’s featured snippet and People Also Ask algorithm, and much of it relies on semantic research.

Therefore using semantic analysis to identify some niche patterns. Text Optimizer is one of those tools I use for just about any brainstorming and writing task, and it is quite helpful for researching questions as well:

 

textoptimizer-questions

This Digital marketing agency has a great further reading on semantic research and intent optimization: The Ultimate Guide to Keyword Intent: What Keywords Tell Your Customers

5. Monitor Competitors’ Keywords (and How They Use Them)

Your competitors are dominating their own keywords. Maybe you should be following their example. To do that, you need a couple of tools that will help you to find out what they are targeting and how they are doing it.

Free tools really don’t have all the features you need (though they can still be awesome for supplementing your efforts), so you need to be prepared to invest some money.

For an in-depth competitive insight try Spyfu. Their data dates back to many years ago. In fact, I think it’s the first competitive intelligence tool I’ve come across in our industry

6. Expand to Related Keywords

Sometimes you just need to see what other key-phrases you could be using in order to be inspired and improve your research. I have lost track of how many times I have gotten a whole new campaign started, or even found content ideas, using this method. Though it used to be harder, having to be done manually or with some less than stellar research tools that required a few extra steps.

I personally love Buzzsumo the most for this task because it has some of the most thorough insights and analytics you could hope to find. That includes both search keywords and social media and content information. Since I use content as my primary marketing foundation, it is amazingly helpful. Its Question Analyzer feature is a great way to expand your initial keyword lists with related terms and phrases:

buzzsumo questions

Keyword Tool touts itself as an alternative to Ubersuggest and claims to gather twice as many suggests. I have found that while that is technically true sometimes, it can be misleading.

They aren’t always the most relevant keyword results. But I like how it gives some direct sources, like Bing, Amazon and eBay.

Keyword research is useful on so many levels, from content brainstorming to gaining organic visibility. There’s no one perfect way to do that.

7. Your Own Analytics

There are not many tools these days that show which keywords are currently sending you traffic. Search Console is one that’s left but you are likely to know that one already.

Finteza is an additional tool that still collects keyword data and even shows how those clicks are interacting with your sales funnel.

finteza-keywords

Over to you: What does your keyword research process consist of?

Do you have some tips we missed? Do you know of a good tool to try? Let us know in the comments!

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I am the owner of this blog as well as Brand and Community Manager at Internet Marketing Ninjas and Founder of MyBlogGuest, MyBlogU and ViralContentBee.com

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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.

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.

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?

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.

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:

  • 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.

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:

  • ​​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.

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.

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:

  • 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:

  • 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?”

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:


Featured Image: Rawpixel.com/Shutterstock





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Google Be Colorful Sign from Peter The Greeter

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Google Be Colorful Backdrop


Here is a photo from Peter the Greeter at the GooglePlex in front of a “Be Colorful” sign that is super colorful with a lot of fun scenery around it. I assume this was for the Pride celebrations at the Google office.

He shared this on Instagram.

This post is part of our daily Search Photo of the Day column, where we find fun and interesting photos related to the search industry and share them with our readers.





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Google Automatically Selecting Background Colors For Search Result Snippet Images

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Google Automatically Selecting Background Colors For Search Result Snippet Images


Over the past few months Google has been auto-selecting background colors not just for image search results and not just for shading Google Shopping Ads but also for images added to the search result snippets in Google Search.

Punit spotted this a few months ago and he shared a couple examples on Twitter that shows how Google is taking an image with maybe a light gray background and then replacing it with a green background. He has more examples but here is the bigger one.

On the left is an image of a heel on a dark green background in the Google Search result image snippet:

But if you looked at the web page, that image as on a light gray background:

Here are more examples:

Pretty cool for Google to do this but I do wonder if the publishers won’t like Google changing the image backgrounds like this?

Forum discussion at Twitter.





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