5 Ways to Use Search as a Growth Channel for B2B in 2021

Posted by Victor_Ijidola

Unlike B2C brands, B2B businesses are often characterized by:

• low search volumes on Google.
• high competition on scarcely available keywords.

And there’s evidence to support this — usually, where a seven-year-old B2C company is getting 500K visitors per month from SEO, a B2B brand the same age could be seeing only 15K visitors per month. (This is assuming all other things are equal.)

Check out the example below comparing Zola.com (a B2C brand) and Yiedify.com (B2B):

These two sites were founded around the same time (2013) and have been publishing lots of content. Yet, the difference in their traffic numbers makes it look like Yieldify hasn’t been doing much SEO, but that’s not the case.

For instance, when I used the MozBar to analyze the on-page optimization they did on their article about trust badges, I could tell they’re at least following basic SEO principles, like having focus keywords in their URL, page titles, headers, and meta descriptions:

I’d say they’ve not been terrible at optimizing their content for SEO — if they do optimize all their content like they did this one on trust badges.

My point here is: B2C and e-commerce businesses (usually) have way more opportunities in SEO than B2B, especially in terms of search traffic.

But while that is true, it’s also true that no matter how few the search visits, there are still a lot of opportunities in SEO for B2B businesses.

Most of the time, what B2B brands lose in search traffic, they make up in revenue — since their products/services are usually more expensive than those in B2C.

Long story short: there are opportunities for B2B companies in search, and here’s how to capitalize on them in the year ahead.

1. Start from bottom (not top) of funnel

Every funnel begins at the top, but if you want to generate results as quickly as possible, you should kick off your B2B SEO strategy targeting customers at the bottom of the funnel.

Ready-to-buy customers are already at the bottom of the funnel (BoFu), searching for information that’ll help them make a purchase decision. They’re often searching with keywords like:

• “[industry] software”
• “[industry] tools”
• “[competitor] alternatives”
• “Is [competitor] a good product/service?”

As a smart marketer, your strategy should be to prioritize reaching them with the bottom of funnel content they’re looking for.

You probably know what BoFu content looks like, but just so we’re on the same page as to what it really is, see these examples of BoFu content from SocialPilot ranking on page one:

I’m not affiliated with SocialPilot, so I don’t know if they kicked off their SEO content marketing with these BoFu topics (search terms).

But if they did, chances are they experienced quick success (in terms of relevant product awareness and sign-ups), since the articles are ranking on Google’s front page for searchers looking for “Buffer alternatives”.

Bottom line is, as a B2B brand, you’ll be better off prioritizing BoFu topics in your SEO strategy. It’s a much better approach than starting all the way at the top of the funnel, which would be targeting searchers who aren’t ready to make a purchase (or sign-up) decision.

But shouldn’t you start with top of funnel content, since that’s where buyers start their journey?

If you think your strategy should be to first target visitors at the top of the funnel (ToFu), you’re probably assuming that your prospects will first consume your ToFu content before ever getting to the bottom.

That’s hardly ever the case in real life. What often happens is:

1. A prospective customer knows they have a problem
2. They search Google for a solution
3. Google shows them multiple solutions on page one
4. They read reviews and supporting information to help them make a purchase decision
5. They make a decision to either buy or not buy

If you think back to the last purchase decision you made, this was probably the route you took.

So it’s not all the time that buyers will start reading your top of funnel content, discover your product, and then decide to start consuming your BoFu content. Sometimes they’re already at BoFu and all it’d take to convince them to buy your product is the right BoFu content.

2. Make your content t-shaped (for demand and lead generation)

You’re probably thinking, “what’s t-shaped content?”. Allow me to explain.

At my agency (Premium Content Shop), we use “t-shaped content” to describe the type of content that performs two functions at the same time:

• It provides real value to your ideal prospects

AND

• Generates relevant organic traffic, demand, and quality leads for your business.

This little illustration below should help you better understand what our “t-shaped content framework” means:

In practice, this is an example of t-shaped content from Mailshake:

Right after the fifth paragraph of the article, they introduce a CTA:

This is a t-shaped content piece because:

• The guide is focused on helping Mailshake’s potential customers — “cold emailers”

• The guide is designed to use the CTA to generate demand and leads for Mailshake

I often advise clients not to introduce anything about their product/service until readers have scrolled about 40% into the content they’re consuming, just to avoid coming across as overly promotional. And I’m not saying putting your CTA that early in an article could never work — it could — but your readers should feel like you're prioritizing them getting value from the content over trying to sell your own stuff right off the bat.

In any case, creating and ranking t-shaped content helps you achieve two objectives:

• Build a brand that people trust.
• Create awareness and generate leads for your product.

3. Don’t just rank content — rank “from-field-experience” content

One reason SEO gets a bad rap, especially among B2B marketers, is the sheer amount of low-quality B2B content that’s ranking on page one in the SERPs. And that’s because, while Google’s algorithm is able to determine search-friendly content, it’s currently not able to see if a page is relevant for a searcher, at least from a human perspective.

So, it ends up ranking content on page one that meets Google’s ranking standards, but not always the searcher’s standards.

As a B2B marketer, you don’t just want to meet Google’s requirements and rank on page one. You need your content to rank AND impress your audience well enough to convert them into leads.

How do you do that? You need to write like professionals speaking to professionals.

Usually, this means you need to see what other industry professionals are saying or have published on any given topic and spell out:

• What you agree with
• What you disagree with
• What you want to change about how something is currently done
• How you want it to change or change it

Derek Gleason of CXL mirrors the same idea in a recent tweet:

And as an expert in your field, this is a no-brainer: you’ll almost always have a different opinion to share about popular topics in your industry.

For instance, as an SEO expert, you most likely have fact-based opinions about topics like Google ranking factors, B2B marketing, technical SEO, etc. This knowledge you have about all the topics in your industry is “from-field-experience” ideas that’ll help you connect with customers on a deeper level.

And when you’re creating content based on your original opinions, experience, thoughts, or convictions, you won’t be sounding like everyone else and your content will stand out. Even if it’s similar to other competitors’ content, it’ll still have your original ideas.

But how do your original ideas impact revenue or growth?

Your clients aren't all at the bottom of the funnel. While I’ve advised kicking off your SEO marketing strategy by addressing BoFu topics, many of your potential buyers are still at the top and middle of the funnel.

This means, at the stage where they’re reading your “from-field-experience” content, they’re not even thinking about your product at all. But with the right type of content — with your original thoughts and ideas, you can move them from the top/middle to the bottom of the funnel.

So, if they’ve been consuming your ToFu content for any amount of time, your brand will get their attention better when it’s time for them to consider making a purchase decision.

And yes, they’ll ultimately make a decision based on reviews and other BoFu content, but your ToFu and MoFu content will help you develop authority and trust with potential customers. This will often give you a leg up on your competitors when it’s time for ToFu/MoFu prospects to make a decision.

For example, Dom Kent of Mio once shared how people in the collaboration industry keep finding Mio whenever they search for anything related to their industry; that’s one example of what ToFu and MoFu content does for your brand.

It's like when you Google something about sales management, and Close’s content keeps showing up. When it’s time to buy — or even just recommend — a sales management tool, guess which product you’ll think of? That’s right, Close. It doesn’t always mean you’ll sign up for Close, but that’s at least one of the brands you’d think of first.

4. Avoid covering too many basic topics

Often in B2B, your ideal buyers are experienced professionals. This means that most of the time, they don't need content on the basic topics that entry-level employees might.

If they're sales leaders, for instance, they seldom search for content on basic topics like "what is a sales script" or "how does CRM work?".

You're better off covering more important and sophisticated topics — regardless of whether those topics have high search volume or not.

For instance, CRM provider Copper currently ranks for “cold call script to get appointment”.

It’s a long-tail keyword with only about 500 searches per month.

The low search volume may look unattractive on the surface, but Copper’s target customers are the ones searching for it, and that’s more important than them ranking for a high search volume keyword like “what’s a sales pipeline?” that doesn’t frequently get searched by those customers.

During your keyword research phase, it’s easy to get distracted by high search volume keywords that your target audience barely ever searches for on Google. Move past that distraction and focus on creating content for keywords your target buyers need content on — even if those keywords have low search volumes.

5. Take care of your technical SEO

In my first four points, I covered things you need to know about high-quality content creation and the content strategy side of SEO, but I haven’t forgotten about the technical side.

You need to pay attention to technical SEO as well, as it can make or break the opportunities any B2B website can get from search. :

Here are the most important parts of tech SEO that you should get in the habit of checking:

• HTML tags: Your HTML tags help search engines understand what’s on your page. See it this way: you understand English (and any other language you speak), search engine algorithms understand HTML tags (plus human language).
  
  
• Meta descriptions: These help search engines understand the content of your web pages even more. It’s basically the summary of your content, showing searchers and search engines a quick overview of what’s on your web pages.
  
  
• SEO-friendly URL: This one is often considered a “minor Google ranking factor” by many (if not most) search marketers. But even if it increases your chances of ranking by .5%, it’s still important. So optimize your URLs to make them SEO-friendly. This means you need to make sure they contain the target keywords you’re trying to rank for on any page.
  
  
• User experience (UX): This includes site speed, navigation, accessibility (for visitors from PC and mobile devices), and everything else that makes your content and web pages easy to use for searchers. Google’s algorithm has been built to be powerful enough to determine which pages have good UX, so you need to make sure your pages are easy to use, navigate, and access.
  
  
• Backlinks: They may be last on the list here, but backlinks are easily one of the most important ranking factors you need to pay careful attention to. As you know, the more backlinks you get, the stronger your chances of ranking.
  
  

In conclusion

There are a lot of opportunities in SEO for B2B companies — even though the search volumes are often low. I’ve covered what you’d need to use search to your advantage as a B2B marketer.

To recap, you should kick-off your SEO and content marketing by targeting BoFu prospects. And make your content T-shaped, so that it benefits your audience and business at the same time.

Also, don’t just rank content for organic search traffic, rank with “from-field-experience” content/ideas; this will help you generate demand and quality leads as readers will be drawn to your expertise.

And then avoid covering too many basic topics, especially when your target buyers are experienced professionals or C-level decision-makers. Finally, pay attention to the technical side of SEO, too; it can make or break your entire search engine optimization efforts.

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Fast & Featured: How Entities Can Help You Conquer Snippets in Less Than 4 Minutes

Posted by larissa-lacerda

From the moment I started working with SEO, I was faced with countless optimization tactics. After heading down numerous rabbit holes, I came to see how important it is to identify your low hanging fruit: the opportunities to generate great results with less effort.

The first time I saw notable results in my work was in the optimizations I put into practice to reach featured snippets. The thrill of jumping to the top of the page was so great that it soon became my passion.

But not everything in SEO is so simple (or stable). Soon, methods that had previously brought results were no longer working. With the competition growing increasingly competent and challenging, great results were becoming less frequent.

If, like me, you’ve reached that point — don't worry! I’ll show you how I overcame this with a method that I lovingly refer to as “Fast & Featured”.

What are SEO entities?

I started with an unpretentious study of entities. I hadn’t read much on the topic, but what caught my attention was the understanding entities can offer into how search algorithms work.

Google’s definition is: “A thing or concept that is singular, unique, well-defined and distinguishable.”But this definition is very broad, leading to even greater confusion. I wanted a clearer understanding of what entities are all about, so I crafted my own definition that I’ll share with you today.

Basically, an entity in SEO is everything definable, unique, and not limited to a specific shape, spelling, or image (e.g. mom, mother, mummy, and a picture of a mother all relate to the same entity).

I really like to make an association with the following image, famous in the study of semiotics, which illustrates entities very well:

"One and Three Chairs", 1965, by Joseph Kosuth. Gautier Poupeau, CC BY 2.0, via Wikimedia Commons

Here, we have three chairs: the physical chair, the representation of a chair, and the dictionary definition of what a chair is. All three refer to a single entity: the chair.

What matters here is the essence, the content, and what lies behind it.

In the same way, this is how algorithms understand elements that exist on the web, overcoming restrictions of language, form, or representation — which results in huge improvements in the accuracy of the SERP results.

So, what if I use this concept to understand which entities are most important in searches with featured snippets? With this knowledge, I’d have an in-depth understanding of what the ideal answers are, not just the ones I, totally biased, considered good.

It may seem a simple concept, but it's like telling your SEO to focus on basic practices or understand the user's intention. No matter how much you talk about it or how obvious it seems, people will still be reluctant to do it. The tendency is to look for more complicated or advanced hacks — but that’s not what we want here.

Our goal is to show how to associate a basic concept with a previously understood practice, making each step very clear, logical, and uncomplicated.

Let's get down to the method!

How to use the Fast & Featured method

As mentioned, this method was developed to make achieving featured snippets more intelligent and strategic, so each of these seven steps is essential to increase your probability of success.

1. Understand context and objectives

As with any strategy, whether SEO, marketing, or across other areas, we must first understand the current context — what we have at the moment (and how it serves us) — to then determine our objectives, where we intend to catch up.

As a result, the first step is to compile a list of searches for keywords that you rank in the top ten positions for, and note which already have featured snippets. For even greater chances, filter for just the top three positions as well, since that’s where Google selects the featured snippet 70% of the time.

There are several methods for this, with the main difference being speed. I will share three approaches, to cover the range of demands that different teams may have.

Moz Keyword Explorer

In a very intuitive way, Moz's Keyword Explorer has an easy approach to help you out with this stage of creating your list of opportunities.

To do this, simply access the keywords you rank for and filter positions 1-10.

Then, create your own list and then select the “Featured Snippet” option under “SERP feature”.

Source: Moz

Now you have a complete list of opportunities!

Ahrefs Webmaster Tools

Ahrefs WebMaster Tools (the free version of Ahrefs) can also be used to create your list of opportunities.

The process is largely similar, simply access the “Organic keywords” feature, click on “SERP features” (under “Include”) and select “Featured snippet”.

After doing this, the tool will present a series of results, including snippets that you have already achieved. You can follow up on each result separately or export the complete list.

To clean your data, leaving only the opportunities, exclude all keywords that are in first place — those already considered featured snippets by the tool — after all, you hear less about position zero nowadays.

Google Search Console

This technique was used when free tools were not yet available and a user simply needed a way to generate this list.

If this is not your case — and you’re not curious to find out more — feel free to skip ahead.

To find opportunities where there is less competition and greater focus on long tails, it’s necessary to access the "Performance" report, go to "Search results" and filter by "Queries" using expressions such as "what is", "concept", "definition" , “how to” among others.

As it’s not possible to identify the SERP features this way, it’s not as accurate, but is worth mentioning.

2. Start a SERP analysis

Now that you’ve managed to create a respectable list, select your priorities. Again, keywords with higher positions and more traffic coverage are ideal.

Start by accessing the SERP and identifying the following aspects:

• What type of snippet is it?
• Are there other definitions highlighted on the page? (This could include definitions under a “knowledge panel” or “people also ask”.)

This information will help you understand what Google interprets as the ideal answer, giving you more information than just what the featured snippet contains. This way, you will know if the snippet is a paragraph or shorter, or what the user hopes to find when searching for that term.

For the keyword “interactive ebook”, we find a paragraph snippet. Below, the SERP presents PAAs on how to make interactive ebooks and the difference between digital books and ebooks.

Hang on to this info, as we’ll need it in step 4.

3. Look at competitor content

In addition to the previous questions related to the SERP, the time has come to meet the current winner and understand what sets it apart from the rest. Identify:

• Who has the current snippet?
• Where is it located on the page? (first paragraph, summary, middle of the text)
• How is the concept in question currently defined?
• How objective is it?

Look for answers to these questions and, especially for the last two, try to set aside your current definition or how you would approach it differently, in order to be as impartial as possible in your analysis — however difficult it may be at times.

In the example I presented, the competitor is Visme, the snippet was taken from the beginning of the second title, the definition is very objective, succinct, and logical, and takes advantage of the formats that make up an interactive ebook.

4. Use a comparative analysis

I consider this next step to be the most important. I suggest that you write down the information somewhere. I usually use an online text counter, but feel free to do it on a spreadsheet or another platform.

Whatever tool you use, first record the result of the snippet. Then, add another definition, if found on the SERP (could be a Google dictionary or Wikipedia definition), then finally add your current definition.

Now, the time has come to apply the concept of entities. We will focus on the first two definitions from the beginning of this post.

Below, list the entities you found and how many times they appear in the text — which helps to indicate their relevance in context.

To get the hang of this when starting, you can use Google's own NLP API demo tool or another tool, such as TextRazor, to help you identify it:

5. Identify entities

After you identify the entities and their level of relevance for the definitions you found (the snippet itself and another highlighted definition), see which entities are most repeated on both lists (if the SERP presents more than one definition) and the relationships established between them.

Once you do that, you have the set of entities considered the most important for that Google search and can then avoid relying on “I prefer this” or “I think this word is better”, because it will be based on what the search engine understands to be the best.

Then, just like a puzzle, assemble these entities with your own text in an objective and easy to understand way.

Ideally, your definition should be slightly shorter than the current one, making it as unbiased as possible — very important, especially for voice searches.

Take a look at this example:

In blue are the entities I decided to use on my new definition. You can also note that this paragraph is a lot shorter than the previous one.

Finally, insert your updated paragraph into your text, making sure it fits with the rest of the text, and avoiding any breaks in the flow of the text that could throw off your reader.

6. Re-index your page

After making these changes, the next step is to request that your page be re-indexed through Google Search Console.

This action wasn’t possible until a few weeks ago, but Google announced on December 22, 2020 that “Request Indexing” is back to their tool.

The re-indexing part is not an indispensable step, but it is ideal to streamline the process and verify whether it was possible to achieve the snippet or not more quickly.

To illustrate the results my team and I were able to make, here are some snippets won using this strategy:

And the one that made me proudest (it is in Portuguese, my native language):

Before:

After four minutes:

Besides conquering it incredibly fast, this exact snippet made me realize I had created an effective strategy and I needed to share it with the SEO community.

7. Don’t give up

Something went wrong? Check if your content as a whole relates to what is presented in the snippet text, and make the necessary adjustments or consider re-analyzing the entities to see if something important was left out.

For some tests I’ve carried out, simply shortening the definition by two words was enough for Google to accept my definition and not a competitor's.

In addition, there are cases of reaching the snippet, but then quickly losing it. While this can be very frustrating, it’s a sign that you are on the right track. Several factors can influence this, such as your text not being attractive enough or sounding confusing.

When this happens, keep trying and update your definition from time to time (at two-week intervals), to continue increasing the chance that you show up on the snippet.

Final tips

Here are a few final thoughts. If you have other advice, let me know in the comments!

• Test the use of abstracts in WordPress (that bold section that appears at the beginning of the text).
• Try to work concepts into your text objectively, preferably using the composition “what is + the keyword” in the given intertitle. This doesn’t mean that your copy should lack variety and personality, but look for ways to adapt this formula your own way to attract people with your style, while also being accessible to a wide audience.
• Intertitles of lists should be more obvious as well: "What are the best channels on Youtube" — something simple and without being too distracting.

See how reaching snippets can be simple (and fast) when using a clear method?

It may feel great to achieve a position without much effort or even when we don't know what we did, but it's much better when we know exactly what it takes — without mistakes or crazy tricks.

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Announcing the New Technical SEO Certification Series: What It Is & How to Get Certified

Posted by KaviKardos

SEO education has been central to Moz’s mission since the start. In addition to our many guides, blog posts, and videos, we’ve shifted in recent years to offer on-demand video training courses through Moz Academy. Our team has been blown away by the reception of our online training programs. To date, over 142,000 students have enrolled in a course through Moz Academy. Wowie!

On top of that, 94% of Moz Academy students said they would recommend the course(s) they took to a friend or colleague. We’re so glad that our content is resonating with you and helping to level up your knowledge in various SEO subject areas.

We launched our SEO Essentials Certification Series back in May 2019, and we’ve seen almost 500 students get certified in that timeframe. Since then, we’ve heard requests from across the Moz community for more technical-focused coursework and more advanced course options. As a result, we’re stoked to be adding another outstanding certification to our collection of coursework.

The Learning Team has put in many, many hours of work to develop a technically focused, in-depth training series that hones in on the nuts and bolts of technical SEO. We’re thrilled to announce the launch of the Technical SEO Certification Series through Moz Academy.

I want to get started!

What’s included in the Technical SEO Certification Series?

The Technical SEO Certification is a five-part series dedicated to technical SEO, combining video lessons with tasks and activities to allow for practical application of important concepts. The series culminates in a final exam, and with a passing score, you’ll be awarded an official Moz Certificate and badge for your LinkedIn profile.

The Certification Series was built to help you efficiently grow your technical skills and think critically about websites and SEO strategy from an informed technical perspective. By the time you wrap up the series, you’ll be ready to build a technical strategy for your website that ensures crawlability, indexability, accessibility, and site performance.

The certification series focuses on four core competency areas:

1. Explore the Fundamentals of Technical SEO
2. Design for Crawlability
3. Build for Indexation
4. Prioritize Accessibility & Site Performance

Dig into what’s included in the coursework below:

1. Explore the Fundamentals of Technical SEO

In building a certification series solely focused on technical SEO, we knew laying the groundwork would be critical. Although many folks in the SEO space are aware of various components of technical SEO, we felt it was important to identify where these tactics fit within a larger strategy.

The Explore the Fundamentals course analyzes the reasoning behind technical SEO and its foundational impact on other SEO work. In addition to defining core terminology and principles, you’ll gain a clear understanding of how technical SEO fits into the larger SEO methodology. You’ll learn how search engines find and analyze websites, readying you to apply that knowledge to the concepts of crawling, indexing, accessibility, and site performance that we’ll dive into in later sections.

2. Design for Crawlability

Once we’ve gotten the fundamentals down pat, the Certification Series jumps into crawlability – search engines’ ability to discover and navigate a website. In developing this section of the coursework, we wanted to be sure to provide a thorough background on how search engines operate, what they value, and a step-by-step process to ensure that your website is crawler-friendly.

You’ll learn the importance of optimizing your crawl budget to help crawlers get to the parts of your site that matter most. These considerations can also improve overall SEO health and even site conversions. In addition, we’ll cover robots.txt, site architecture, response codes, log file analysis, and more, using a variety of tools to give you hands-on practice with designing for crawlability.

By the end of this section, you’ll be well-versed in how to optimize for efficient crawling and how to implement and scale fixes across your website.

3. Build for Indexation

Up next in our Certification Series is indexation – how search engines understand, store, and organize information while crawling the web. We want to be sure that you’re confident in your ability to build and present a website that will be indexed properly by the search engines. You’ll next learn how to utilize sitemaps, canonicalization, and structured data to support indexation.

We’ll dig into what search engines typically value as they organize the information they’ve ingested, and how you can use that knowledge to implement tactics that will get your most important content indexed. This will ensure that your valuable content makes its way into the SERPs and, ultimately, to your target audience.

4. Prioritize Accessibility & Site Performance

There are heaps of articles across the web addressing accessibility, and we wanted to build a comprehensive section of the Certification Series dedicated to this vital concern as well as site performance. Here, we dig into top priorities to ensure a site is accessible to all users and performing at its best, as well as tasks to help you do so.

You’ll learn how to conduct an accessibility audit to identify and prioritize optimization efforts. You’ll also discover how components such as URL structure, site speed, mobile-friendliness, and site security impact performance. We’ll look at various tools to help us test these, so that you can create a repeatable process for auditing in the future.

By the end of this class, you’ll be familiar with strategies you can implement to ensure a great (and accessible!) user experience.

Following the courses on these four core competency areas, you will take a final exam to test your knowledge. The exam will consist of 50 multiple-choice questions.

Technical SEO Certification Series FAQs

How do I get certified?

The Technical SEO Certification Series is available through Moz Academy. Just select the series from the catalog, move through the registration process, and get started! After completing the series and taking the final exam, you’ll be awarded an official Moz Certificate and a LinkedIn badge.

Who is this Certification Series best for?

This series is ideal for intermediate SEOs and digital marketers with existing SEO knowledge who are looking to level up their technical skills. The series content covers technical topics that pair nicely with a solid understanding of keyword research, on-page SEO, link building, and content marketing. If you already have familiarity with the SEO fundamentals and are looking to grow your technical expertise, this series is great for you.

If you’re new to SEO and looking to learn the ropes, we’d recommend the SEO Essentials Certification.

How long will the series take to complete?

The certification series includes three hours of instructor-led curriculum, in addition to activities to test your understanding and the final exam. With all of that in mind, you can expect your time commitment to be about five hours in total.

How long is the Technical SEO Certification valid? Do my certification credentials expire?

No, your Technical SEO Certification credentials will not expire.

I don't have a Moz Pro subscription – is the Technical SEO Certification Series still relevant for me?

Yes! While we do use Moz Pro to apply certain concepts throughout the series, having a Moz Pro subscription is not a requirement to benefit from this certification. We’ll also explore a number of technical tasks in other tools outside of Moz. In general, the concepts, activities, and theories covered in the series are agnostic of tools.

Sign me up!

Any other questions or thoughts about the Technical SEO Certification Series? Drop them in the comments below – we’d love to chat with you!

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SEO Forecasting in Google Sheets

Posted by Tom.Capper

Way back in 2015, I published an article giving away a free, simple, forecasting tool, and talking through use cases for forecasting in SEO. It was a quick, effective way to see if a change to your site traffic is some kind of seasonality you can ignore, something to celebrate, or a worrying sign of traffic loss.

In short: you could enter in a series of data, and it would plot it out on a graph like the image above.

Five years later, I still get people — from former colleagues to complete strangers — asking me about this tool, and more often than not, I’m asked for a version that works directly in spreadsheets.

I find this easy to sympathize with: a spreadsheet is more flexible, easier to debug, easier to expand upon, easier to maintain, and a format that people are very familiar with.

The tradeoff when optimizing for those things is, although I’ve improved on that tool from a few years ago, I’ve still had to keep things manageable in the famously fickle programming environment that is Excel/Google Sheets. That means the template shared in this post uses a simpler, slightly less performant model than some tools with external code execution (e.g. Forecast Forge).

In this post, I’m going to give away a free template, show you how it works and how to use it, and then show you how to build your own (better?) version. (If you need a refresher on when to use forecasting in general, and concepts like confidence intervals, refer to the original article linked above.).

Types of SEO forecast

There is one thing I want to expand on before we get into the spreadsheet stuff: the different types of SEO forecast.

Broadly, I think you can put SEO forecasts into three groups:

1. “I’m feeling optimistic — add 20% to this year” or similar flat changes to existing figures. More complex versions might only add 20% to certain groups of pages or keywords. I think a lot of agencies use this kind of forecast in pitches, and it comes down to drawing on experience.
2. Keyword/CTR models, when you estimate a ranking change (or sweeping set of ranking changes), then extrapolate the resulting change in traffic from search volume and CTR data (you can see a similar methodology here). Again, more complex versions might have some basis for the ranking change (e.g. “What if we swapped places with competitor A in every keyword of group X where they currently outrank us?”).
3. Statistical forecast based on historical data, when you extrapolate from previous trends and seasonality to see what would happen if everything remained constant (same level of marketing activity by you and competitors, etc.).

Type two has its merits, but if you compare the likes of Ahrefs/SEMRush/Sistrix data to your own analytics, you’ll see how hard this is to generalize. As an aside, I don’t think type one is as ridiculous as it looks, but it’s not something I’ll be exploring any further in this post. In any case, the template in this post fits into type three.

What makes this an SEO forecast?

Why, nothing at all. One thing you’ll notice about my description of type three above is that it doesn’t mention anything SEO-specific. It could equally apply to direct traffic, for example. That said, there are a couple of reasons I’m suggesting this specifically as an SEO forecast:

• We’re on the Moz Blog and I’m an SEO consultant.
• There are better methodologies available for a lot of other channels.

I mentioned that type two above is very challenging, and this is because of the highly non-deterministic nature of SEO and the generally poor quality of detailed data in Search Console and other SEO-specific platforms. In addition, to get an accurate idea of seasonality, you’d need to have been warehousing your Search Console data for at least a couple of years.

For many other channels, high quality, detailed historic data does exist, and relationships are far more predictable, allowing more granular forecasts. For example, for paid search, the Forecast Forge tool I mentioned above builds in factors like keyword-level conversion data and cost-per-click based on your historical data, in a way that would be wildly impractical for SEO.

That said, we can still combine multiple types of forecast in the template below. For example, rather than forecasting the traffic of your site as a whole, you might forecast subfolders separately, or brand/non-brand separately, and you might then apply percentage growth to certain areas or build in anticipated ranking changes. But, we’re getting ahead of ourselves…

How to use the template

FREE TEMPLATE

The first thing you’ll need to do is make a copy (under the “File” menu in the top left, but automatic with the link I’ve included). This means you can enter your own data and play around to your heart’s content, and you can always come back and get a fresh copy later if you need one.

Then, on the first tab, you’ll notice some cells have a green or blue highlight:

You should only be changing values in the colored cells.

The blue cells in column E are basically to make sure everything ends up correctly labelled in the output. So, for example, if you’re pasting session data, or click data, or revenue data, you can set that label. Similarly, if you enter a start month of 2018-01 and 36 months of historic data, the forecast output will begin in January 2021.

On that note, it needs to be monthly data — that’s one of the tradeoffs for simplicity I mentioned earlier. You can paste up to a decade of historic monthly data into column B, starting at cell B2, but there are a couple of things you need to be careful of:

• You need at least 24 months of data for the model to have a good idea of seasonality. (If there’s only one January in your historic data, and it was a traffic spike, how am I supposed to know if it was a one-off thing, or an annual thing?)
• You need complete months. So if it’s March 25, 2021 when you’re reading this, the last month of data you should include is February 2021.

Make sure you also delete any leftovers of my example data in column B.

Outputs

Once you’ve done that, you can head over to the “Outputs” tab, where you’ll see something like this:

Column C is probably the one you’re interested in. Keep in mind that it’s full of formulas here, but you can copy and paste as values into another sheet, or just go to File > Download > Comma-separated values to get the raw data.

You’ll notice I’m only showing 15 months of forecast in that graph by default, and I’d recommend you do the same. As I mentioned above, the implicit assumption of a forecast is that historical context carries over, unless you explicitly include changed scenarios like COVID lockdowns into your model (more on that in a moment!). The chance of this assumption holding two or three years into the future is low, so even though I’ve provided forecast values further into the future, you should keep that in mind.

The upper and lower bounds shown are 95% confidence intervals — again, you can recap on what that means in my previous post if you so wish.

Advanced use cases

You may by now have noticed the “Advanced” tab:

Although I said I wanted to keep this simple, I felt that given everything that happened in 2020, many people would need to incorporate major external factors into their model.

In the example above, I’ve filled in column B with a variable for whether or not the UK was under COVID lockdown. I’ve used “0.5” to represent that we entered lockdown halfway through March.

You can probably make a better go of this for the relevant factors for your business, but there are a few important things to keep in mind with this tab:

• It’s fine to leave it completely untouched if you don’t want to add these extra variables.
• Go from left to right — it’s fine to leave column C blank if you’re using column B, but it’s not fine to leave B blank if you’re using C.
• If you’re using a “dummy” variable (e.g. “1” for something being active), you need to make sure you fill in the 0s in other cells for at least the period of your historic data.
• You can enter future values — for example, if you predict a COVID lockdown in March 2021 (you bastard!), you can enter something in that cell so it’s incorporated into the forecast.
• If you don’t enter future values, the model will predict based on this number being zero in the future. So if you’ve entered “branded PPC active” as a dummy variable for historic data, and then left it blank for future periods, the model will assume you have branded PPC turned off in the future.
• Adding too much data here for too few historic periods will result in something called “overfit” — I don’t want to get into detail on this, which is why this tab is called “Advanced”, but try not to get carried away.

Here’s some example use cases of this tab for you to consider:

• Enter whether branded PPC was active (0 or 1)
• Enter whether you’re running TV ads or not
• Enter COVID lockdowns
• Enter algorithm updates that were significant to your business (one column per update)

Why are my estimates different to your old tool? Is one of them wrong?

There’s two major differences in method between this template and my old tool:

• The old tool used Google’s Causal Impact library, the new template uses an Ordinary Least Squares regression.
• The old tool captured non-linear trends by using time period squared as a predictive variable (e.g. month 1 = 1, month 2 = 4, month 3 = 9, etc.) and trying to fit the traffic curve to that curve. This is called a quadratic regression. The new tool captures non-linear trends by fitting each time period as a multiple of the previous time period (e.g. month 1 = X * month 2 where X can be any value). This is called an AR(1) model.

If you’re seeing a significant difference in the forecast values between the two, it almost certainly comes down to the second reason, and although it adds a little complexity, in the vast majority of cases the new technique is more realistic and flexible.

It’s also far less likely to predict zero or negative traffic in the case of a severe downwards trend, which is nice.

How does it work?

There’s a hidden tab in the template where you can take a peek, but the short version is the “LINEST()” spreadsheet formula.

The inputs I’m using are:

• Dependent variables
  • Whatever you put as column B in the inputs tab (like traffic)
• Independent variables
  • Linear passing of time
  • Previous period’s traffic
  • Dummy variables for 11 months (12th month is represented by the other 11 variables all being 0)
  • Up to three “advanced” variables

The formula then gives a series of “coefficients” as outputs, which can be multiplied with values and added together to form a prediction like:

• “Time period 10” traffic = Intercept + (Time Coefficient * 10) + (Previous Period Coefficient * Period 9 traffic)

You can see in that hidden sheet I’ve labelled and color-coded a lot of the outputs from the Linest formula, which may help you to get started if you want to play around with it yourself.

Potential extensions

If you do want to play around with this yourself, here are some areas I personally have in mind for further expansion that you might find interesting:

• Daily data instead of monthly, with weekly seasonality (e.g. dip every Sunday)
• Built-in growth targets (e.g. enter 20% growth by end of 2021)

Richard Fergie, whose Forecast Forge tool I mentioned a couple of times above, also provided some great suggestions for improving forecast accuracy with fairly limited extra complexity:

• Smooth data and avoid negative predictions in extreme cases by taking the log() of inputs, and providing an exponent of outputs (smoothing data may or may not be a good thing depending on your perspective!).
• Regress on the previous 12 months, instead of using the previous 1 month + seasonality (this requires 3 years’ minimum historical data)

I may or may not include some or all of the above myself over time, but if so I’ll make sure I use the same link and make a note of it in the spreadsheet, so this article always links to the most up-to-date version.

If you’ve made it this far, what would you like to see? Let me know in the comments!

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The Anatomy of the Perfect Pitch Email

Posted by amandamilligan

If you need to get backlinks and generate brand awareness for clients, a great way to start is by creating original research and then pitching that research to writers. But the promotion of your work is probably the trickiest part, and a lot of it comes down to the pitch email you send to a writer. 

To make this task a bit less daunting, in this episode of Whiteboard Friday, Amanda Milligan of Fractl walks you through a real pitch email that resulted in coverage of one of their stories.

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hi, everyone. Welcome to another edition of Whiteboard Friday. My name is Amanda Milligan. I'm the Marketing Director at Fractl. Today I'm going to talk to you about the anatomy of the perfect pitch email.

This has to do with the digital PR space. The way that we get backlinks and brand awareness for our clients is by creating original research, new studies and surveys, and then pitching those things to writers. Now the pitching and the promotion is some of the trickiest part, and a lot of it comes down to this — the email you send to a writer.

So what I've done here is literally write out a real pitch email that was sent to a writer that resulted in a publication and coverage of the story. I'll shout out to Skylar who wrote this one. What I'm going to do is walk through each piece of it, each element that we think is extremely important and that we include in all of our emails.

Human connection

So to start, I actually use this email because it didn't delve too much into the personalization. I wanted to show an example of what happens if you can't personalize as well. But personalization or any kind of human connection is extremely important, and it should be the lead into the body of your email.

So in this case, it's a little more general. It says, "We all remember the horror flicks that left us sleeping with the lights on." So that's a more general human experience. I know I slept with the lights on when I saw "The Ring" for the first time. That's just some way to connect with the person who's reading it, to have them think of a memory.

However, if you actually have a chance to personalize an email, for example, if the writer has written something that resonates with you recently or you follow them on Twitter or LinkedIn and you like something that they shared, you can connect with them — you went to the same school, you have the same love of animals. We actually have a lot of people who pitched this year like pitching pictures of their animals and talking about how much they love dogs or cats.

Anything that is genuine can do really well. But remember that there's a human being on the other side of the email that you're sending, and just humanize this a little bit. So that should be about a sentence or two. As you can see here, it ends about here. So you don't want to go into a whole life story, but touch on that a little bit.

Top-level project description

The next segment is a top-level project description. So the next sentence here says, "Could you imagine if one of those characters occupied the room next to yours?" So now we're bridging the kind of anecdote to the actual project. "To explore this further, my team asked over 1,000 TV and movie fans about their most and least desirable fictional roommates."

So right there you know exactly what the project is about. It's about a survey we did asking people which fictional characters in all kinds of media they would like to live with. So it's very fun. It's a light piece. It's a fun piece. However, the structure is still the same when creating these pitch emails. No matter if it's hard news or something a little more lighthearted, this is a really effective way to go.

Main takeaways

So that covers human connection and top-level project description. This next piece is arguably the most important. This, as you can see over here, are the main takeaways, the biggest, most interesting, new insights from this study that you did. You don't want the writer to be sifting through your content trying to figure out why they care or why any of their readers are going to care.

It's your job to pull the two or three most interesting takeaways, literally create a bulleted list for them so that they can see it very quickly. So in this case, Skylar literally said, "Here's what we found: The Beetlejuice home ranks as one of the most identifiable movie houses. However, Beetlejuice was the least desirable fictional roommate."

Understandably. The reason why I can assume she called this out is because, in this particular pitch, she was pitching a home publication, so she's talking about houses. The reason I highlight that is you shouldn't have even the same body of a pitch that you send to everyone. It depends on who their readers are and the topics that they cover, the subtopics they cover.

Even if you know they're relevant and you're pitching them in the first place, make sure to tailor every aspect of the email to them specifically. You might have a list of 10 to 15 interesting takeaways, and you piece together which ones make the most sense per writer. So then some other facts. "Movie fans agree Norman Bates would have been equally undesirable as the Hulk would be as a roommate."

Which is just fun. "Despite appearing in your dreams while you're fast asleep, Freddy Krueger ranks as less desirable than Hannibal Lecter." So the fun thing about this project and something I didn't mention at the top is that we were pitching it around Halloween. So it makes a little more sense. You have that timeliness factor also.

This is fun, but they're basically writing these bullet points thinking like, "What can the writer's headline be? What are they going to say is the most interesting part of this project, and why do they think it's going to be fun or funny or entertaining or useful or informative?" So that covers this section. It's extremely important. Honestly, as you're creating content, you should be thinking of these things, hypothesizing what these could look like.

Link to the content

If you can't even imagine what little bullet points you're going to be able to create after you do something, it might not be interesting enough, or you might not be on the right track. So then this is important. It's small, but it's important. "Here's a link to the full study." Linked. Some people do the tactic of kind of asking, "Oh, do you want to see the rest? We can send it to you."

We don't recommend doing that because you don't want to add an extra step. You don't want writers to have to work for anything. You want to give them everything they need to make a decision. So you're making it easy for them by calling out the bullet points that are the most relevant. Then you're saying, "But listen, look at the whole study if you want. If this is intriguing to you, here it is. You can view the whole thing and make a decision as to whether it's a good fit for your audience." So be sure to do that. 

Direct ask

Then Skylar did a good job by saying, "It's the very first day of October," which it was at the time, "and your readers are gearing up for Halloween." So she's tying it back to the relevancy of the project to their readers, which is what you always have to think about. The writer only cares about whether something is going to resonate with their readership. That means that they're doing a good job. So she kind of ties that up. "Any interest in sharing this exclusive study with [the publication]?" So I highlighted here a direct ask. So come out and say like, "So do you want to cover this?" In this case, we were pitching it as an exclusive, meaning nobody else hadn't covered it yet, which makes it a little more appealing.

You're saying, "You're going to be the first ones to talk about this study." You can say it's exclusive, and you can highlight that in the email as well. But even if you're not doing that, if you're pitching it to a bunch of people or somebody has already covered it and you're still pitching it, just make sure you directly ask, "Are you interested in covering this?" Don't assume that they even know how to respond. So those are the four main components of a pitch email.

Conclusion

Now there's a lot that goes into making this work. This is just one piece of a greater puzzle. Your content has to be fantastic, because, as I say, no fantastic pitch can salvage a terrible project. You just can't pitch your way out of it. But also you need to be targeting the right people.

So sometimes we have fantastic pitch emails go out, or anybody has fantastic pitch emails go out, but the person, for whatever reason, can't cover the content. That happens. It certainly happens. Sometimes people have full editorial calendars, or they just wrote about something recently similar. But you want to avoid the situation where they say, "Cool pitch, but this isn't my niche."

This happens all the time in the industry. We surveyed 500 publishers last year, in 2019, depending on when you're listening to this, and they said that their number one pet peeve is being pitched content that does not match their niche. So they're being pitched things that they don't typically write about. So this is a fantastic way to increase the chances of your pitch being successful, but that doesn't mean that it's foolproof if you haven't done all these other steps.

If you're interested in learning about those things, check out my other content on Moz. I've talked about what makes great content. I've talked about some things to look at when it comes to who to pitch. All these things fit together. But I did want to break down for you exactly what that pitch can look like. So best of luck out there. I know it's tough.

Talk to you soon.

Video transcription by Speechpad.com

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Finding Keyword Opportunities Without Historical Data

Posted by Imogen_Davies

At Google’s Search On event in October last year, Prabhakar Raghavan explained that 15% of daily queries are ones that have never been searched before. If we take the latest figures from Internet Live Stats, which state 3.5 billion queries are searched every day, that means that 525 million of those queries are brand new.

That is a huge number of opportunities waiting to be identified and worked into strategies, optimization, and content plans. The trouble is, all of the usual keyword research tools are, at best, a month behind with the data they can provide. Even then, the volumes they report need to be taken with a grain of salt – you’re telling me there are only 140 searches per month for “women’s discount designer clothing”? – and if you work in B2B industries, those searches are generally much smaller volumes to begin with.

So, we know there are huge amounts of searches available, with more and more being added every day, but without the data to see volumes, how do we know what we should be working into strategies? And how do we find these opportunities in the first place?

Finding the opportunities

The usual tools we turn to aren’t going to be much use for keywords and topics that haven’t been searched in volume previously. So, we need to get a little creative — both in where we look, and in how we identify the potential of queries in order to start prioritizing and working them into strategies. This means doing things like:

1. Mining People Also Ask
2. Scraping autosuggest
3. Drilling into related keyword themes

Mining People Also Ask

People Also Ask is a great place to start looking for new keywords, and tends to be more up to date than the various tools you would normally use for research. The trap most marketers fall into is looking at this data on a small scale, realizing that (being longer-tail terms) they don’t have much volume, and discounting them from approaches. But when you follow a larger-scale process, you can get much more information about the themes and topics that users are searching for and can start plotting this over time to see emerging topics faster than you would from standard tools.

To mine PAA features, you need to:

1. Start with a seed list of keywords.

2. Use SerpAPI to run your keywords through the API call – you can see their demo interface below and try it yourself:

3. Export the “related questions” features returned in the API call and map them to overall topics using a spreadsheet:

4. Export the “related search boxes” and map these to overall topics as well:

5. Look for consistent themes in the topics being returned across related questions and searches.

6. Add these overall themes to your preferred research tool to identify additional related opportunities. For example, we can see coffee + health is a consistent topic area, so you can add that as an overall theme to explore further through advanced search parameters and modifiers.

7. Add these as seed terms to your preferred research tool to pull out related queries, like using broad match (+coffee health) and phrase match (“coffee health”) modifiers to return more relevant queries:

This then gives you a set of additional “suggested queries” to broaden your search (e.g. coffee benefits) as well as related keyword ideas you can explore further.

This is also a great place to start for identifying differences in search queries by location, like if you want to see different topics people are searching for in the UK vs. the US, then SerpAPI allows you to do that at a larger scale.

If you’re looking to do this on a smaller scale, or without the need to set up an API, you can also use this really handy tool from Candour – Also Asked – which pulls out the related questions for a broad topic and allows you to save the data as a .csv or an image for quick review:

Once you’ve identified all of the topics people are searching for, you can start drilling into new keyword opportunities around them and assess how they change over time. Many of these opportunities don’t have swathes of historical data reported in the usual research tools, but we know that people are searching for them and can use them to inform future content topics as well as immediate keyword opportunities.

You can also track these People Also Ask features to identify when your competitors are appearing in them, and get a better idea of how they’re changing their strategies over time and what kind of content and keywords they might also be targeting. At Found, we use our bespoke SERP Real Estate tool to do just that (and much more) so we can spot these opportunities quickly and work them into our approaches.

Scraping autosuggest

This one doesn’t need an API, but you’ll need to be careful with how frequently you use it, so you don’t start triggering the dreaded captchas.

Similar to People Also Ask, you can scrape the autosuggest queries from Google to quickly identify related searches people are entering. This tends to work better on a small scale, just because of the manual process behind it. You can try setting up a crawl with various parameters entered and a custom extraction, but Google will be pretty quick to pick up on what you’re doing.

To scrape autosuggest, you use a very simple URL query string:

https://suggestqueries.google.com/complete/search?output=toolbar&hl=&gl=uk&q=

Okay, it doesn’t look that simple, but it’s essentially a search query that outputs all of the suggested queries for your seed query.

So, if you were to enter “cyber security” after the “q=”, you would get:

This gives you the most common suggested queries for your seed term. Not only is this a goldmine for identifying additional queries, but it can show some of the newer queries that have started trending, as well as information related to those queries that the usual tools won’t provide data for.

For example, if you want to know what people are searching for related to COVID-19, you can’t get that data in Keyword Planner or most tools that utilize the platform, because of the advertising restrictions around it. But if you add it to the suggest queries string, you can see:

This can give you a starting point for new queries to cover without relying on historical volume. And it doesn’t just give you suggestions for broad topics – you can add whatever query you want and see what related suggestions are returned.

If you want to take this to another level, you can change the location settings in the query string, so instead of “gl=uk” you can add “=us” and see the suggested queries from the US. This then opens up another opportunity to look for differences in search behavior across different locations, and start identifying differences in the type of content you should be focusing on in different regions — particularly if you’re working on international websites or targeting international audiences.

Refining topic research

Although the usual tools won’t give you that much information on brand new queries, they can be a goldmine for identifying additional opportunities around a topic. So, if you have mined the PAA feature, scraped autosuggest, and grouped all of your new opportunities into topics and themes, you can enter these identified “topics” as seed terms to most keyword tools.

Google Ads Keyword Planner

Currently in beta, Google Ads now offers a “Refine keywords” feature as part of their Keyword Ideas tool, which is great for identifying keywords related to an overarching topic.

Below is an example of the types of keywords returned for a “coffee” search:

 Here we can see the keyword ideas have been grouped into:

• Brand or Non-Brand – keywords relating to specific companies
• Drink – types of coffee, e.g. espresso, iced coffee, brewed coffee
• Product – capsules, pods, instant, ground
• Method – e.g. cold brew, French press, drip coffee

These topic groupings are fantastic for finding additional areas to explore. You can either:

1. Start here with an overarching topic to identify related terms and then go through the PAA/autosuggest identification process.
2. Start with the PAA / autosuggest identification process and put your new topics into Keyword Planner

Whichever way you go about it, I’d recommend doing a few runs so you can get as many new ideas as possible. Once you’ve identified the topics, run them through the refine keywords beta to pull out more related topics, then run them through the PAA/autosuggest process to get more topics, and repeat a few times depending how many areas you want to explore or how in-depth you need your research to be.

Google Trends

Trends data is one of the most up-to-date sets you can look at for topics and specific queries. However, it is worth noting that for some topics, it doesn’t hold any data, so you might run into problems with more niche areas.

Using “travel ban” as an example, we can see the trends in searches as well as related topics and specific related queries:

Now, for new opportunities, you aren’t going to find a huge amount of data, but if you’ve grouped your opportunities into overarching topics and themes, you’ll be able to find some additional opportunities from the “Related topics” and “Related queries” sections.

In the example above we see these sections include specific locations and specific mentions of coronavirus – something that Keyword Planner won’t provide data on as you can’t bid on it.

Drilling into the different related topics and queries here will give you a bit more insight into additional areas to explore that you may not have otherwise been able to identify (or validate) through other Google platforms.

Moz Keyword Explorer

The Moz interface is a great starting point for validating keyword opportunities, as well as identifying what’s currently appearing in the SERPs for those terms. For example, a search for “london theatre” returns the following breakdown:

From here, you can drill into the keyword suggestions and start grouping them into themes as well, as well as being able to review the current SERP and see what kind of content is appearing. This is particularly useful when it comes to understanding the intent behind the terms to make sure you’re looking at the opportunities from the right angle – if a lot more ticket sellers are showing than news and guides, for example, then you want to be focusing these opportunities on more commercial pages than informational content.

Other tools

There are a variety of other tools you can use to further refine your keyword topics and identify new related ideas, including the likes of SEMRush, AHREFS, Answer The Public, Ubersuggest, and Sistrix, all offering relatively similar methods of refinement.

The key is identifying the opportunities you want to explore further, looking through the PAA and autosuggest queries, grouping them into themes, and then drilling into those themes.

Keyword research is an ever-evolving process, and the ways in which you can find opportunities are always changing, so how do you then start planning these new opportunities into strategies?

Forming a plan

Once you’ve got all of the data, you need to be able to formalize it into a plan to know when to start creating content, when to optimize pages, and when to put them on the back burner for a later date.

A quick (and consistent) way you can easily plot these new opportunities into your existing plans and strategies is to follow this process:

1. Identify new searches and group into themes
2. Monitor changes in new searches. Run the exercise once a month to see how much they change over time
3. Plot trends in changes alongside industry developments. Was there an event that changed what people were searching for?
4. Group the opportunities into actions: create, update, optimize.
5. Group the opportunities into time-based categories: topical, interest, evergreen, growing, etc.
6. Plot timeframes around the content pieces. Anything topical gets moved to the top of the list, growing themes can be plotted in around them, interest-based can be slotted in throughout the year, and evergreen pieces can be turned into more hero-style content.

Then you end up with a plan that covers:

• All of your planned content.
• All of your existing content and any updates you might want to make to include the new opportunities.
• A revised optimization approach to work in new keywords on existing landing pages.
• A revised FAQ structure to answer queries people are searching for (before your competitors do).
• Developing themes of content for hubs and category page expansion.

Conclusion

Finding new keyword opportunities is imperative to staying ahead of the competition. New keywords mean new ways of searching, new information your audience needs, and new requirements to meet. With the processes outlined above, you’ll be able to keep on top of these emerging topics to plan your strategies and priorities around them. The world of search will always change, but the needs of your audience — and what they are searching for — should always be at the center of your plans.

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