Evolving Keyword Research to Match Your Buyer’s Journey

Posted by matthew_jkay

Keyword research has been around as long as the SEO industry has. Search engines built a system that revolves around users entering a term or query into a text entry field, hitting return, and receiving a list of relevant results. As the online search market expanded, one clear leader emerged — Google — and with it they brought AdWords (now Google Ads), an advertising platform that allowed organizations to appear on search results pages for keywords that organically they might not.

Within Google Ads came a tool that enabled businesses to look at how many searches there were per month for almost any query. Google Keyword Planner became the de facto tool for keyword research in the industry, and with good reason: it was Google’s data. Not only that, Google gave us the ability to gather further insights due to other metrics Keyword Planner provided: competition and suggested bid. Whilst these keywords were Google Ads-oriented metrics, they gave the SEO industry an indication of how competitive a keyword was.

The reason is obvious. If a keyword or phrase has higher competition (i.e. more advertisers bidding to appear for that term) it’s likely to be more competitive from an organic perspective. Similarly, a term that has a higher suggested bid means it’s more likely to be a competitive term. SEOs dined on this data for years, but when the industry started digging a bit more into the data, we soon realized that while useful, it was not always wholly accurate. Moz, SEMrush, and other tools all started to develop alternative volume and competitive metrics using Clickstream data to give marketers more insights.

Now industry professionals have several software tools and data outlets to conduct their keyword research. These software companies will only improve in the accuracy of their data outputs. Google’s data is unlikely to significantly change; their goal is to sell ad space, not make life easy for SEOs. In fact, they've made life harder by using volume ranges for Google Ads accounts with low activity. SEO tools have investors and customers to appease and must continually improve their products to reduce churn and grow their customer base. This makes things rosy for content-led SEO, right?

Well, not really.

The problem with historical keyword research is twofold:

1. SEOs spend too much time thinking about the decision stage of the buyer’s journey (more on that later).

2. SEOs spend too much time thinking about keywords, rather than categories or topics.

The industry, to its credit, is doing a lot to tackle issue number two. “Topics over keywords” is something that is not new as I’ll briefly come to later. Frameworks for topic-based SEO have started to appear over the last few years. This is a step in the right direction. Organizing site content into categories, adding appropriate internal linking, and understanding that one piece of content can rank for several variations of a phrase is becoming far more commonplace.

What is less well known (but starting to gain traction) is point one. But in order to understand this further, we should dive into what the buyer’s journey actually is.

What is the buyer’s journey?

The buyer’s or customer’s journey is not new. If you open marketing text books from years gone by, get a college degree in marketing, or even just go on general marketing blogs you’ll see it crop up. There are lots of variations of this journey, but they all say a similar thing. No matter what product or service is bought, everyone goes through this journey. This could be online or offline — the main difference is that depending on the product, person, or situation, the amount of time this journey takes will vary — but every buyer goes through it. But what is it, exactly? For the purpose of this article, we’ll focus on three stages: awareness, consideration, & decision.

Awareness

The awareness stage of the buyer’s journey is similar to problem discovery, where a potential customer realizes that they have a problem (or an opportunity) but they may not have figured out exactly what that is yet.

Search terms at this stage are often question-based — users are researching around a particular area.

Consideration

The consideration stage is where a potential consumer has defined what their problem or opportunity is and has begun to look for potential solutions to help solve the issue they face.

Decision

The decision stage is where most organizations focus their attention. Normally consumers are ready to buy at this stage and are often doing product or vendor comparisons, looking at reviews, and searching for pricing information.

To illustrate this process, let’s take two examples: buying an ice cream and buying a holiday.

Being low-value, the former is not a particularly considered purchase, but this journey still takes place. The latter is more considered. It can often take several weeks or months for a consumer to decide on what destination they want to visit, let alone a hotel or excursions. But how does this affect keyword research, and the content which we as marketers should provide?

At each stage, a buyer will have a different thought process. It’s key to note that not every buyer of the same product will have the same thought process but you can see how we can start to formulate a process.

The Buyer’s Journey - Holiday Purchase

The above table illustrates the sort of queries or terms that consumers might use at different stages of their journey. The problem is that most organizations focus all of their efforts on the decision end of the spectrum. This is entirely the right approach to take at the start because you’re targeting consumers who are interested in your product or service then and there. However, in an increasingly competitive online space you should try and find ways to diversify and bring people into your marketing funnel (which in most cases is your website) at different stages.

I agree with the argument that creating content for people earlier in the journey will likely mean lower conversion rates from visitor to customer, but my counter to this would be that you're also potentially missing out on people who will become customers. Further possibilities to at least get these people into your funnel include offering content downloads (gated content) to capture user’s information, or remarketing activity via Facebook, Google Ads, or other retargeting platforms.

Moving from keywords to topics

I’m not going to bang this drum too loudly. I think many in of the SEO community have signed up to the approach that topics are more important than keywords. There are quite a few resources on this listed online, but what forced it home for me was Cyrus Shepard’s Moz article in 2014. Much, if not all, of that post still holds true today.

What I will cover is an adoption of HubSpot’s Topic Cluster model. For those unaccustomed to their model, HubSpot’s approach formalizes and labels what many search marketers have been doing for a while now. The basic premise is instead of having your site fragmented with lots of content across multiple sections, all hyperlinking to each other, you create one really in-depth content piece that covers a topic area broadly (and covers shorter-tail keywords with high search volume), and then supplement this page with content targeting the long-tail, such as blog posts, FAQs, or opinion pieces. HubSpot calls this "pillar" and "cluster" content respectively.

Source: Matt Barby / HubSpot

The process then involves taking these cluster pages and linking back to the pillar page using keyword-rich anchor text. There’s nothing particularly new about this approach aside from formalizing it a bit more. Instead of having your site’s content structured in such a way that it's fragmented and interlinking between lots of different pages and topics, you keep the internal linking within its topic, or content cluster. This video explains this methodology further. While we accept this model may not fit every situation, and nor is it completely perfect, it’s a great way of understanding how search engines are now interpreting content.

At Aira, we’ve taken this approach and tried to evolve it a bit further, tying these topics into the stages of the buyer’s journey while utilizing several data points to make sure our outputs are based off as much data as we can get our hands on. Furthermore, because pillar pages tend to target shorter-tail keywords with high search volume, they're often either awareness- or consideration-stage content, and thus not applicable for decision stage. We term our key decision pages “target pages,” as this should be a primary focus of any activity we conduct.

We’ll also look at the semantic relativity of the keywords reviewed, so that we have a “parent” keyword that we’re targeting a page to rank for, and then children of that keyword or phrase that the page may also rank for, due to its similarity to the parent. Every keyword is categorized according to its stage in the buyer’s journey and whether it's appropriate for a pillar, target, or cluster page. We also add two further classifications to our keywords: track & monitor and ignore. Definitions for these five keyword types are listed below:

Pillar page

A pillar page covers all aspects of a topic on a single page, with room for more in-depth reporting in more detailed cluster blog posts that hyperlink back to the pillar page. A keyword tagged with pillar page will be the primary topic and the focus of a page on the website. Pillar pages should be awareness- or consideration-stage content.

A great pillar page example I often refer to is HubSpot’s Facebook marketing guide or Mosi-guard’s insect bites guide (disclaimer: probably don’t click through if you don’t like close-up shots of insects!).

Cluster page

A cluster topic page for the pillar focuses on providing more detail for a specific long-tail keyword related to the main topic. This type of page is normally associated with a blog article but could be another type of content, like an FAQ page.

Good examples within the Facebook marketing topic listed above are HubSpot’s posts:

• How Do Facebook Stories Stack Up to Snapchat?
• How to Use Facebook Live: The Ultimate Guide

For Mosi-guard, they’re not utilizing internal links within the copy of the other blogs, but the "older posts" section at the bottom of the blog is referencing this guide:

• The malaria map and your guide to traveling safe

Target page

Normally a keyword or phrase linked to a product or service page, e.g. nike trainers or seo services. Target pages are decision-stage content pieces.

HubSpot’s target content is their social media software page, with one of Mosi-guard’s target pages being their natural spray product.

Track & monitor

A keyword or phrase that is not the main focus of a page, but could still rank due to its similarity to the target page keyword. A good example of this might be seo services as the target page keyword, but this page could also rank for seo agency, seo company, etc.

Ignore

A keyword or phrase that has been reviewed but is not recommended to be optimized for, possibly due to a lack of search volume, it’s too competitive, it won’t be profitable, etc.

Once the keyword research is complete, we then map our keywords to existing website pages. This gives us a list of mapped keywords and a list of unmapped keywords, which in turn creates a content gap analysis that often leads to a content plan that could last for three, six, or twelve-plus months.

Putting it into practice

I’m a firm believer in giving an example of how this would work in practice, so I’m going to walk through one with screenshots. I’ll also provide a template of our keyword research document for you to take away.

1. Harvesting keywords

The first step in the process is similar, if not identical, to every other keyword research project. You start off with a batch of keywords from the client or other stakeholders that the site wants to rank for. Most of the industry call this a seed keyword list. That keyword list is normally a minimum of 15–20 keywords, but can often be more if you’re dealing with an e-commerce website with multiple product lines.

This list is often based off nothing more than opinion: “What do we think our potential customers will search for?” It’s a good starting point, but you need the rest of the process to follow on to make sure you’re optimizing based off data, not opinion.

2. Expanding the list

Once you’ve got that keyword list, it’s time to start utilizing some of the tools you have at your disposal. There are lots, of course! We tend to use a combination of Moz Keyword Explorer, Answer the Public, Keywords Everywhere, Google Search Console, Google Analytics, Google Ads, ranking tools, and SEMrush.

The idea of this list is to start thinking about keywords that the organization may not have considered before. Your expanded list will include obvious synonyms from your list. Take the example below:

Seed Keywords	Expanded Keywords
ski chalet	ski chalet ski chalet rental ski chalet hire ski chalet [location name] etc

There are other examples that should be considered. A client I worked with in the past once gave a seed keyword of “biomass boilers.” But after keyword research was conducted, a more colloquial term for “biomass boilers” in the UK is “wood burners.” This is an important distinction and should be picked up as early in the process as possible. Keyword research tools are not infallible, so if budget and resource allows, you may wish to consult current and potential customers about which terms they might use to find the products or services being offered.

3. Filtering out irrelevant keywords

Once you’ve expanded the seed keyword list, it’s time to start filtering out irrelevant keywords. This is pretty labor-intensive and involves sorting through rows of data. We tend to use Moz’s Keyword Explorer, filter by relevancy, and work our way down. As we go, we’ll add keywords to lists within the platform and start to try and sort things by topic. Topics are fairly subjective, and often you’ll get overlap between them. We’ll group similar keywords and phrases together in a topic based off the semantic relativity of those phrases. For example:

Topic	Keywords
ski chalet	ski chalet ski chalet rental ski chalet hire ski chalet [location name]
catered chalet	catered chalet luxury catered chalet catered chalet rental catered chalet hire catered chalet [location name]
ski accommodation	ski accommodation cheap ski accommodation budget ski accommodation ski accomodation [location name]

Many of the above keywords are decision-based keywords — particularly those with rental or hire in them. They're showing buying intent. We’ll then try to put ourselves in the mind of the buyer and come up with keywords towards the start of the buyer’s journey.

Topic	Keywords	Buyer’s stage
ski resorts	ski resorts best ski resorts ski resorts europe ski resorts usa ski resorts canada top ski resorts cheap ski resorts luxury ski resorts	Consideration
skiing	skiing skiing guide skiing beginner’s guide	Consideration
family holidays	family holidays family winter holidays family trips	Awareness

This helps us cater to customers that might not be in the frame of mind to purchase just yet — they're just doing research. It means we cast the net wider. Conversion rates for these keywords are unlikely to be high (at least, for purchases or enquiries) but if utilized as part of a wider marketing strategy, we should look to capture some form of information, primarily an email address, so we can send people relevant information via email or remarketing ads later down the line.

4. Pulling in data

Once you’ve expanded the seed keywords out, Keyword Explorer’s handy list function enables your to break things down into separate topics. You can then export that data into a CSV and start combining it with other data sources. If you have SEMrush API access, Dave Sottimano’s API Library is a great time saver; otherwise, you may want to consider uploading the keywords into the Keywords Everywhere Chrome extension and manually exporting the data and combining everything together. You should then have a spreadsheet that looks something like this:

You could then add in additional data sources. There’s no reason you couldn’t combine the above with volumes and competition metrics from other SEO tools. Consider including existing keyword ranking information or Google Ads data in this process. Keywords that convert well on PPC should do the same organically and should therefore be considered. Wil Reynolds talks about this particular tactic a lot.

5. Aligning phrases to the buyer’s journey

The next stage of the process is to start categorizing the keywords into the stage of the buyer’s journey. Something we’ve found at Aira is that keywords don’t always fit into a predefined stage. Someone looking for “marketing services” could be doing research about what marketing services are, but they could also be looking for a provider. You may get keywords that could be either awareness/consideration or consideration/decision. Use your judgement, and remember this is subjective. Once complete, you should end up with some data that looks similar to this:

This categorization is important, as it starts to frame what type of content is most appropriate for that keyword or phrase.

The next stage of this process is to start noticing patterns in keyphrases and where they get mapped to in the buyer’s journey. Often you’ll see keywords like “price” or ”cost” at the decision stage and phrases like “how to” at the awareness stage. Once you start identifying these patterns, possibly using a variation of Tom Casano’s keyword clustering approach, you can then try to find a way to automate so that when these terms appear in your keyword column, the intent automatically gets updated.

Once completed, we can then start to define each of our keywords and give them a type:

• Pillar page
• Cluster page
• Target page
• Track & monitor
• Ignore

We use this document to start thinking about what type of content is most effective for that piece given the search volume available, how competitive that term is, how profitable the keyword could be, and what stage the buyer might be at. We’re trying to find that sweet spot between having enough search volume, ensuring we can actually rank for that keyphrase (there’s no point in a small e-commerce startup trying to rank for “buy nike trainers”), and how important/profitable that phrase could be for the business. The below Venn diagram illustrates this nicely:

We also reorder the keywords so keywords that are semantically similar are bucketed together into parent and child keywords. This helps to inform our on-page recommendations:

From the example above, you can see "digital marketing agency" as the main keyword, but “digital marketing services” & “digital marketing agency uk” sit underneath.

We also use conditional formatting to help identify keyword page types:

And then sheets to separate topics out:

Once this is complete, we have a data-rich spreadsheet of keywords that we then work with clients on to make sure we’ve not missed anything. The document can get pretty big, particularly when you’re dealing with e-commerce websites that have thousands of products.

5. Keyword mapping and content gap analysis

We then map these keywords to existing content to ensure that the site hasn’t already written about the subject in the past. We often use Google Search Console data to do this so we understand how any existing content is being interpreted by the search engines. By doing this we’re creating our own content gap analysis. An example output can be seen below:

The above process takes our keyword research and then applies the usual on-page concepts (such as optimizing meta titles, URLs, descriptions, headings, etc) to existing pages. We’re also ensuring that we’re mapping our user intent and type of page (pillar, cluster, target, etc), which helps us decide what sort of content the piece should be (such as a blog post, webinar, e-book, etc). This process helps us understand what keywords and phrases the site is not already being found for, or is not targeted to.

Free template

I promised a template Google Sheet earlier in this blog post and you can find that here.

Do you have any questions on this process? Ways to improve it? Feel free to post in the comments below or ping me over on Twitter!

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Why isn’t it

The way JavaScript works is we can do scripts as an inline block:

<script>
  let foo = "bar";
</script>

Or, if the script should be fetched from the network...

<script src="/js/global.js"></script>

With CSS, we can do an inline block of styles:

<style>
  .foo { color: red; }
</style>

So why not <style src=""></style>? Instead, we have <link href="">.

Harry Roberts asked about that the other day on Twitter:

Can any W3 historians tell us why it’s `<link rel="stylesheet" />` and not `<style src="…">`?

— Harry Roberts (@csswizardry) November 29, 2018

There is lots of speculation in that thread, but Bruce has a pretty clear answer:

AFAIK, <foo src=""> tells the browser to get something and insert it here - eg <img src="">, "<script src="">. Stylesheets aren't 'inserted', they are related to the current doc, but typically style more than 1 page. <style></style> declares a block of rules for this page only

— Bruce Lawson (@brucel) November 29, 2018

I sort of get that. The location in the document matters with src, but not with <link> — that relates to the entire document instead. I guess the crack in that reasoning is that the order of stylesheets does matter for order-specificity, but I take the point.

The W3C chimed to confirm that logic:

<link rel=stylesheet> was completely obvious at the time, with <link> for external resources that apply to the whole document (copyright, parent document, alternative formats, translations, style sheets); <style src="…"> was never discussed. (1/2)

— W3C (@w3c) November 29, 2018

There we have it: <style src=""></style> wasn't even considered.

The post Why isn’t it <style src=””>? appeared first on CSS-Tricks.

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An Introduction and Guide to the CSS Object Model (CSSOM)

Google Labs Web Components

I think it's kinda cool to see Google dropping repos of interesting web components. It demonstrates the possibilities of cool new web features and allows them to ship them in a way that's compatible with entirely web standards.

Here's one: <two-up>

I wanted to give it a try, so I linked up their example two-up-min.js script in a Pen and used the element by itself to see how it works. They expose the component's styling with custom properties, which I'd say is a darn nice use case for those.

See the Pen <two-up&rt; by Chris Coyier (@chriscoyier) on CodePen.

The post Google Labs Web Components appeared first on CSS-Tricks.

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Content Comprehensiveness - Whiteboard Friday

Posted by KameronJenkins

When Google says they prefer comprehensive, complete content, what does that really mean? In this week's episode of Whiteboard Friday, Kameron Jenkins explores actionable ways to translate the demands of the search engines into valuable, quality content that should help you rank.

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

Video Transcription

Hey, guys. Welcome to this week's edition of Whiteboard Friday. My name is Kameron Jenkins, and I work here at Moz.

Today we're going to be talking about the quality of content comprehensiveness and what that means and why sometimes it can be confusing. I want to use an example scenario of a conversation that tends to go on between SEOs and Google. So here we go.

An SEO usually says something like, "Okay, Google, you say you want to rank high-quality content. But what does that really mean? What is high quality, because we need more specifics than that."

Then Google goes, "Okay, high quality is something that's comprehensive and complete. Yeah, it's really comprehensive." SEOs go, "Well, wait. What does that even mean?"

That's kind of what this was born out of. Just kind of an explanation of what is comprehensive, what does Google mean when they say that, and how that differs depending on the query.

Here we have an example page, and I'll kind of walk you through it. It's just going to serve to demonstrate why when Google says "comprehensive," that can mean something different for an e-commerce page than it would for a history of soccer page. It's really going to differ depending on the query, because people want all sorts of different kinds of things. Their intent is going to be different depending on what they're searching in Google. So the criteria is going to be different for comprehensiveness. So hopefully, by way of example, we'll be able to kind of walk you through what comprehensiveness looks like for this one particular query. So let's just dive in.

1. Intent

All right. So first I'm going to talk about intent. I have here a Complete Guide to Buying a House. This is the query I used as an example. Before we dive in, even before we look into keyword research tools or anything like that, I think it's really important to just like let the query sit with you for a little bit. So "guide to buying a house," okay, I'm going to think about that and think about what the searcher probably wanted based on the query.

So first of all, I noticed "guide." The word "guide" to me makes it sound like someone wants something very complete, very thorough. They don't just want quick tips. They don't want a quick bullet list. This can be longer, because someone is searching for a comprehensive guide.

"To buying a house," that's a process. That's not like an add-to-cart like Amazon. It's a step-by-step. There are multiple phases to that type of process. It's really important to realize here that they're probably looking for something a little lengthier and something that is maybe a step-by-step process.

And too, you just look at the query, "guide to buying a house," people are probably searching that if they've never bought a house before. So if they've never bought a house before, it's just good to remember that your audience is in a phase where they have no idea what they're doing. It's important to understand your audience and understand that this is something that they're going to need very, very comprehensive, start-to-finish information on it.

2. Implications

Two, implications. This is again also before we get into any keyword research tools. By implications, I mean what is going to be the effect on someone after reading this? So the implications here, a guide to buying a house, that is a big financial decision. That's a big financial purchase. It's going to affect people's finances and happiness and well-being, and Google actually has a name for that. In their Quality Rater Guidelines, they call that YMYL. So that stands for "your money, your life."

Those types of pages are held to a really high standard, and rightfully so. If someone reads this, they're going to get advice about how to spend their money. It's important for us, as SEOs and writers crafting these types of pages, to understand that these are going to be held to a really high standard. I think what that could look like on the page is, because they're making a big purchase like this, it might be a good sign of trustworthiness to maybe have some expert quotes in here. Maybe you kind of sprinkle those throughout your page. Maybe you actually have it written by an expert author instead of just Joe Schmoe blogger. Those are just some ideas for making a page really trustworthy, and I think that's a key to comprehensiveness.

3. Subtopics

Number three here we have subtopics. There are two ways that I'll walk you through finding subtopics to fit within your umbrella topic. I'm going to use Moz Keyword Explorer as an example of this.

Use Keyword Explorer to reveal subtopics

In Moz Keyword Explorer, you can search for different keywords and related keywords two different ways. You can type in a query. So you can type in something like "buy a house" or "home buying" or something like that. You start with your main topic, and what you'll get as a result is a bunch of suggested keywords that you can also incorporate on your page, terms that are related to the term that you searched. This is going to be really great, because you're going to start to notice themes emerge. Some of the themes I noticed were people tend to search for "home buying calculator," like a can-I-afford-it type of calculator. A lot of people search financial-related things obviously, bad credit. I filed for bankruptcy, can I still buy a house? You'll start to see subthemes emerge.

Then I also wanted to mention that, in Moz Keyword Explorer, you can also search by URL. What I might do is query my term that I'm trying to target on my page. I'm going to pick the top three URLs that are ranking. You pop them into Keyword Explorer, and you can compare them and you can see the areas of most overlap. So what you'll get essentially is a list of keywords that the top ranking pages for that term also rank for. That's going to be a really good way to mine some extra keyword ideas for your page to make it more comprehensive.

4. Questions

Then here we go. We have step four. After we've come up with some subtopics, I think it's also a really good idea to mine questions and try to find what questions our audience is actually asking. So, for these, I like to use Answer the Public and Keywords Everywhere. Those are two really great tools that I kind of like to use in tandem.

Use Answer the Public to mine questions

Answer the Public, if you've never used it, is a really fun tool. You can put in a keyword, and you get a huge list. Depending on how vague your query is, you might get a ton of ideas. If your query is really specific, you might not get as many keyword ideas back. But it's a really great way to type in a keyword, like "buying a house" or "buy a house" or "home buying" or something like that, and get a whole, big, long list of questions that your audience is asking. People that want to know how to buy a house, they're also asking these questions.

I think a comprehensive page will answer those questions. But it can be a little bit overwhelming. There's going to be probably a lot of questions potentially to answer. So how do you prioritize and choose which questions are the best to address on your page?

Use Keywords Everywhere to highlight keywords on a page

That's where the Keywords Everywhere plug-in comes in handy. I use it in Chrome. You can have it highlight the keywords on the page. I think I have mine set to highlight anything that's searched 50 or more times a month. That's a really good way to gauge, just right off the bat you can see, okay, now there are these 10 instead of these 100 questions to potentially answer on my page.

So examples of questions here, I have questions like: Can I afford this? Is now the right time to buy? So you can kind of fit those into your page and answer those questions.

5. Trends

Then finally here I have trends. I think this is a really commonly missed step. It's important to remember that a lot of terms have seasonality attached to them. So what I did with this query, I queried "buy a house," and I wanted to see if there were any trends for home buying-type of research queries in Google Trends. I zoomed out to five years to see if I could see year-over-year if there were any trends that emerged.

That was totally the case. When people are searching "buy a house," it's at its peak kind of around January into spring, and then in the summer it starts to dive, and then it's at its lowest during the holidays. That kind of shows you that people are researching at the beginning of the year. They're kind of probably moving into their house during the summertime, and then during the holidays they've had all the time to move in and now they're just enjoying the holidays. That's kind of the trend flow that it follows. That's really key information, if you're going to build a comprehensive page, to kind of understand that there's seasonality attached with your term.

Because I know now that there's seasonality with my term, I can incorporate information like what are the pros and cons of buying in peak season versus off-season for buying a house. Maybe what's the best time of year to buy. Those are, again, other ideas for things that you can incorporate on your page to make it more comprehensive.

This page is not comprehensive. I didn't have enough room to fit some things. So you don't just stop at this phase. If you're really building a comprehensive page on this topic, don't stop where I stopped. But this is kind of just an example of how to go about thinking through what Google means when they say make a page comprehensive. It's going to mean something different depending on your query and just keep that in mind. Just think about the query, think about what your audience wanted based on what they searched, and you'll be off to a great start building a comprehensive page.

I hope that was helpful. If you have any ideas for building your own comprehensive page, how you do that, maybe how it differs in different industries that you've worked in, pop it in the comments. That would be really good for us to share that information. Come back again next week for another edition of Whiteboard Friday.

Video transcription by Speechpad.com

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What do you name color variables?

Accessible SVG Icons With Inline Sprites

This is a great look at accessible SVG markup patterns by Marco Hengstenberg. Here's the ideal example:

<button type="button">
  Menu
  <svg class="svg-icon"
     role="img"
     height="10"
     width="10"
     viewBox="0 0 10 10"
     aria-hidden="true"
     focusable="false">
     <path d="m1 7h8v2h-8zm0-3h8v2h-8zm0-3h8v2h-8z"/>
    </svg>
</button>

Notes:

• It's not the <svg> itself that is interactive — it's wrapped in a <button> for that.
• The .svg-icon class has some nice trickery, like em-based sizing to match the size of the text it's next to, and currentColor to match the color.
• Since real text is next to it, the icon can be safely ignored via aria-hidden="true". If you need an icon-only button, you can wrap that text in an accessibily-friendly .visually-hidden class.
• The focusable="false" attribute solves an IE 11 bug.

Plus a handy Pen to reference all the patterns.

Direct Link to Article — Permalink

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