Do SEOs At Larger Agencies Earn More Than Those At Smaller Agencies?

Local search practitioners, how do you stack up to your peers in the industry? Columnist Myles Anderson sheds some light on this topic based on data from BrightLocal’s recent annual Local SEO Industry Survey.

The post Do SEOs At Larger Agencies Earn More Than Those At Smaller Agencies? appeared…

Please visit Search Engine Land for the full article.

Reblogged 3 years ago from feeds.searchengineland.com

Distance from Perfect

Posted by wrttnwrd

In spite of all the advice, the strategic discussions and the conference talks, we Internet marketers are still algorithmic thinkers. That’s obvious when you think of SEO.

Even when we talk about content, we’re algorithmic thinkers. Ask yourself: How many times has a client asked you, “How much content do we need?” How often do you still hear “How unique does this page need to be?”

That’s 100% algorithmic thinking: Produce a certain amount of content, move up a certain number of spaces.

But you and I know it’s complete bullshit.

I’m not suggesting you ignore the algorithm. You should definitely chase it. Understanding a little bit about what goes on in Google’s pointy little head helps. But it’s not enough.

A tale of SEO woe that makes you go “whoa”

I have this friend.

He ranked #10 for “flibbergibbet.” He wanted to rank #1.

He compared his site to the #1 site and realized the #1 site had five hundred blog posts.

“That site has five hundred blog posts,” he said, “I must have more.”

So he hired a few writers and cranked out five thousand blogs posts that melted Microsoft Word’s grammar check. He didn’t move up in the rankings. I’m shocked.

“That guy’s spamming,” he decided, “I’ll just report him to Google and hope for the best.”

What happened? Why didn’t adding five thousand blog posts work?

It’s pretty obvious: My, uh, friend added nothing but crap content to a site that was already outranked. Bulk is no longer a ranking tactic. Google’s very aware of that tactic. Lots of smart engineers have put time into updates like Panda to compensate.

He started like this:

And ended up like this:
more posts, no rankings

Alright, yeah, I was Mr. Flood The Site With Content, way back in 2003. Don’t judge me, whippersnappers.

Reality’s never that obvious. You’re scratching and clawing to move up two spots, you’ve got an overtasked IT team pushing back on changes, and you’ve got a boss who needs to know the implications of every recommendation.

Why fix duplication if rel=canonical can address it? Fixing duplication will take more time and cost more money. It’s easier to paste in one line of code. You and I know it’s better to fix the duplication. But it’s a hard sell.

Why deal with 302 versus 404 response codes and home page redirection? The basic user experience remains the same. Again, we just know that a server should return one home page without any redirects and that it should send a ‘not found’ 404 response if a page is missing. If it’s going to take 3 developer hours to reconfigure the server, though, how do we justify it? There’s no flashing sign reading “Your site has a problem!”

Why change this thing and not that thing?

At the same time, our boss/client sees that the site above theirs has five hundred blog posts and thousands of links from sites selling correspondence MBAs. So they want five thousand blog posts and cheap links as quickly as possible.

Cue crazy music.

SEO lacks clarity

SEO is, in some ways, for the insane. It’s an absurd collection of technical tweaks, content thinking, link building and other little tactics that may or may not work. A novice gets exposed to one piece of crappy information after another, with an occasional bit of useful stuff mixed in. They create sites that repel search engines and piss off users. They get more awful advice. The cycle repeats. Every time it does, best practices get more muddled.

SEO lacks clarity. We can’t easily weigh the value of one change or tactic over another. But we can look at our changes and tactics in context. When we examine the potential of several changes or tactics before we flip the switch, we get a closer balance between algorithm-thinking and actual strategy.

Distance from perfect brings clarity to tactics and strategy

At some point you have to turn that knowledge into practice. You have to take action based on recommendations, your knowledge of SEO, and business considerations.

That’s hard when we can’t even agree on subdomains vs. subfolders.

I know subfolders work better. Sorry, couldn’t resist. Let the flaming comments commence.

To get clarity, take a deep breath and ask yourself:

“All other things being equal, will this change, tactic, or strategy move my site closer to perfect than my competitors?”

Breaking it down:

“Change, tactic, or strategy”

A change takes an existing component or policy and makes it something else. Replatforming is a massive change. Adding a new page is a smaller one. Adding ALT attributes to your images is another example. Changing the way your shopping cart works is yet another.

A tactic is a specific, executable practice. In SEO, that might be fixing broken links, optimizing ALT attributes, optimizing title tags or producing a specific piece of content.

A strategy is a broader decision that’ll cause change or drive tactics. A long-term content policy is the easiest example. Shifting away from asynchronous content and moving to server-generated content is another example.

“Perfect”

No one knows exactly what Google considers “perfect,” and “perfect” can’t really exist, but you can bet a perfect web page/site would have all of the following:

  1. Completely visible content that’s perfectly relevant to the audience and query
  2. A flawless user experience
  3. Instant load time
  4. Zero duplicate content
  5. Every page easily indexed and classified
  6. No mistakes, broken links, redirects or anything else generally yucky
  7. Zero reported problems or suggestions in each search engines’ webmaster tools, sorry, “Search Consoles”
  8. Complete authority through immaculate, organically-generated links

These 8 categories (and any of the other bazillion that probably exist) give you a way to break down “perfect” and help you focus on what’s really going to move you forward. These different areas may involve different facets of your organization.

Your IT team can work on load time and creating an error-free front- and back-end. Link building requires the time and effort of content and outreach teams.

Tactics for relevant, visible content and current best practices in UX are going to be more involved, requiring research and real study of your audience.

What you need and what resources you have are going to impact which tactics are most realistic for you.

But there’s a basic rule: If a website would make Googlebot swoon and present zero obstacles to users, it’s close to perfect.

“All other things being equal”

Assume every competing website is optimized exactly as well as yours.

Now ask: Will this [tactic, change or strategy] move you closer to perfect?

That’s the “all other things being equal” rule. And it’s an incredibly powerful rubric for evaluating potential changes before you act. Pretend you’re in a tie with your competitors. Will this one thing be the tiebreaker? Will it put you ahead? Or will it cause you to fall behind?

“Closer to perfect than my competitors”

Perfect is great, but unattainable. What you really need is to be just a little perfect-er.

Chasing perfect can be dangerous. Perfect is the enemy of the good (I love that quote. Hated Voltaire. But I love that quote). If you wait for the opportunity/resources to reach perfection, you’ll never do anything. And the only way to reduce distance from perfect is to execute.

Instead of aiming for pure perfection, aim for more perfect than your competitors. Beat them feature-by-feature, tactic-by-tactic. Implement strategy that supports long-term superiority.

Don’t slack off. But set priorities and measure your effort. If fixing server response codes will take one hour and fixing duplication will take ten, fix the response codes first. Both move you closer to perfect. Fixing response codes may not move the needle as much, but it’s a lot easier to do. Then move on to fixing duplicates.

Do the 60% that gets you a 90% improvement. Then move on to the next thing and do it again. When you’re done, get to work on that last 40%. Repeat as necessary.

Take advantage of quick wins. That gives you more time to focus on your bigger solutions.

Sites that are “fine” are pretty far from perfect

Google has lots of tweaks, tools and workarounds to help us mitigate sub-optimal sites:

  • Rel=canonical lets us guide Google past duplicate content rather than fix it
  • HTML snapshots let us reveal content that’s delivered using asynchronous content and JavaScript frameworks
  • We can use rel=next and prev to guide search bots through outrageously long pagination tunnels
  • And we can use rel=nofollow to hide spammy links and banners

Easy, right? All of these solutions may reduce distance from perfect (the search engines don’t guarantee it). But they don’t reduce it as much as fixing the problems.
Just fine does not equal fixed

The next time you set up rel=canonical, ask yourself:

“All other things being equal, will using rel=canonical to make up for duplication move my site closer to perfect than my competitors?”

Answer: Not if they’re using rel=canonical, too. You’re both using imperfect solutions that force search engines to crawl every page of your site, duplicates included. If you want to pass them on your way to perfect, you need to fix the duplicate content.

When you use Angular.js to deliver regular content pages, ask yourself:

“All other things being equal, will using HTML snapshots instead of actual, visible content move my site closer to perfect than my competitors?”

Answer: No. Just no. Not in your wildest, code-addled dreams. If I’m Google, which site will I prefer? The one that renders for me the same way it renders for users? Or the one that has to deliver two separate versions of every page?

When you spill banner ads all over your site, ask yourself…

You get the idea. Nofollow is better than follow, but banner pollution is still pretty dang far from perfect.

Mitigating SEO issues with search engine-specific tools is “fine.” But it’s far, far from perfect. If search engines are forced to choose, they’ll favor the site that just works.

Not just SEO

By the way, distance from perfect absolutely applies to other channels.

I’m focusing on SEO, but think of other Internet marketing disciplines. I hear stuff like “How fast should my site be?” (Faster than it is right now.) Or “I’ve heard you shouldn’t have any content below the fold.” (Maybe in 2001.) Or “I need background video on my home page!” (Why? Do you have a reason?) Or, my favorite: “What’s a good bounce rate?” (Zero is pretty awesome.)

And Internet marketing venues are working to measure distance from perfect. Pay-per-click marketing has the quality score: A codified financial reward applied for seeking distance from perfect in as many elements as possible of your advertising program.

Social media venues are aggressively building their own forms of graphing, scoring and ranking systems designed to separate the good from the bad.

Really, all marketing includes some measure of distance from perfect. But no channel is more influenced by it than SEO. Instead of arguing one rule at a time, ask yourself and your boss or client: Will this move us closer to perfect?

Hell, you might even please a customer or two.

One last note for all of the SEOs in the crowd. Before you start pointing out edge cases, consider this: We spend our days combing Google for embarrassing rankings issues. Every now and then, we find one, point, and start yelling “SEE! SEE!!!! THE GOOGLES MADE MISTAKES!!!!” Google’s got lots of issues. Screwing up the rankings isn’t one of them.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

Reblogged 4 years ago from tracking.feedpress.it

From Editorial Calendars to SEO: Setting Yourself Up to Create Fabulous Content

Posted by Isla_McKetta

Quick note: This article is meant to apply to teams of all sizes, from the sole proprietor who spends all night writing their copy (because they’re doing business during the day) to the copy team who occupies an entire floor and produces thousands of pieces of content per week. So if you run into a section that you feel requires more resources than you can devote just now, that’s okay. Bookmark it and revisit when you can, or scale the step down to a more appropriate size for your team. We believe all the information here is important, but that does not mean you have to do everything right now.

If you thought ideation was fun, get ready for content creation. Sure, we’ve all written some things before, but the creation phase of content marketing is where you get to watch that beloved idea start to take shape.

Before you start creating, though, you want to get (at least a little) organized, and an editorial calendar is the perfect first step.

Editorial calendars

Creativity and organization are not mutually exclusive. In fact, they can feed each other. A solid schedule gives you and your writers the time and space to be wild and creative. If you’re just starting out, this document may be sparse, but it’s no less important. Starting early with your editorial calendar also saves you from creating content willy-nilly and then finding out months later that no one ever finished that pesky (but crucial) “About” page.

There’s no wrong way to set up your editorial calendar, as long as it’s meeting your needs. Remember that an editorial calendar is a living document, and it will need to change as a hot topic comes up or an author drops out.

There are a lot of different types of documents that pass for editorial calendars. You get to pick the one that’s right for your team. The simplest version is a straight-up calendar with post titles written out on each day. You could even use a wall calendar and a Sharpie.

Monday Tuesday Wednesday Thursday Friday
Title
The Five Colors of Oscar Fashion 12 Fabrics We’re Watching for Fall Is Charmeuse the New Corduroy? Hot Right Now: Matching Your Handbag to Your Hatpin Tea-length and Other Fab Vocab You Need to Know
Author Ellie James Marta Laila Alex

Teams who are balancing content for different brands at agencies or other more complex content environments will want to add categories, author information, content type, social promo, and more to their calendars.

Truly complex editorial calendars are more like hybrid content creation/editorial calendars, where each of the steps to create and publish the content are indicated and someone has planned for how long all of that takes. These can be very helpful if the content you’re responsible for crosses a lot of teams and can take a long time to complete. It doesn’t matter if you’re using Excel or a Google Doc, as long as the people who need the calendar can easily access it. Gantt charts can be excellent for this. Here’s a favorite template for creating a Gantt chart in Google Docs (and they only get more sophisticated).

Complex calendars can encompass everything from ideation through writing, legal review, and publishing. You might even add content localization if your empire spans more than one continent to make sure you have the currency, date formatting, and even slang right.

Content governance

Governance outlines who is taking responsibility for your content. Who evaluates your content performance? What about freshness? Who decides to update (or kill) an older post? Who designs and optimizes workflows for your team or chooses and manages your CMS?

All these individual concerns fall into two overarching components to governance: daily maintenance and overall strategy. In the long run it helps if one person has oversight of the whole process, but the smaller steps can easily be split among many team members. Read this to take your governance to the next level.

Finding authors

The scale of your writing enterprise doesn’t have to be limited to the number of authors you have on your team. It’s also important to consider the possibility of working with freelancers and guest authors. Here’s a look at the pros and cons of outsourced versus in-house talent.

In-house authors

Guest authors and freelancers

Responsible to

You

Themselves

Paid by

You (as part of their salary)

You (on a per-piece basis)

Subject matter expertise

Broad but shallow

Deep but narrow

Capacity for extra work

As you wish

Show me the Benjamins

Turnaround time

On a dime

Varies

Communication investment

Less

More

Devoted audience

Smaller

Potentially huge

From that table, it might look like in-house authors have a lot more advantages. That’s somewhat true, but do not underestimate the value of occasionally working with a true industry expert who has name recognition and a huge following. Whichever route you take (and there are plenty of hybrid options), it’s always okay to ask that the writers you are working with be professional about communication, payment, and deadlines. In some industries, guest writers will write for links. Consider yourself lucky if that’s true. Remember, though, that the final paycheck can be great leverage for getting a writer to do exactly what you need them to (such as making their deadlines).

Tools to help with content creation

So those are some things you need to have in place before you create content. Now’s the fun part: getting started. One of the beautiful things about the Internet is that new and exciting tools crop up every day to help make our jobs easier and more efficient. Here are a few of our favorites.

Calendars

You can always use Excel or a Google Doc to set up your editorial calendar, but we really like Trello for the ability to gather a lot of information in one card and then drag and drop it into place. Once there are actual dates attached to your content, you might be happier with something like a Google Calendar.

Ideation and research

If you need a quick fix for ideation, turn your keywords into wacky ideas with Portent’s Title Maker. You probably won’t want to write to the exact title you’re given (although “True Facts about Justin Bieber’s Love of Pickles” does sound pretty fascinating…), but it’s a good way to get loose and look at your topic from a new angle.

Once you’ve got that idea solidified, find out what your audience thinks about it by gathering information with Survey Monkey or your favorite survey tool. Or, use Storify to listen to what people are saying about your topic across a wide variety of platforms. You can also use Storify to save those references and turn them into a piece of content or an illustration for one. Don’t forget that a simple social ask can also do wonders.

Format

Content doesn’t have to be all about the words. Screencasts, Google+ Hangouts, and presentations are all interesting ways to approach content. Remember that not everyone’s a reader. Some of your audience will be more interested in visual or interactive content. Make something for everyone.

Illustration

Don’t forget to make your content pretty. It’s not that hard to find free stock images online (just make sure you aren’t violating someone’s copyright). We like Morgue File, Free Images, and Flickr’s Creative Commons. If you aren’t into stock images and don’t have access to in-house graphic design, it’s still relatively easy to add images to your content. Pull a screenshot with Skitch or dress up an existing image with Pixlr. You can also use something like Canva to create custom graphics.

Don’t stop with static graphics, though. There are so many tools out there to help you create gifs, quizzes and polls, maps, and even interactive timelines. Dream it, then search for it. Chances are whatever you’re thinking of is doable.

Quality, not quantity

Mediocre content will hurt your cause

Less is more. That’s not an excuse to pare your blog down to one post per month (check out our publishing cadence experiment), but it is an important reminder that if you’re writing “How to Properly Install a Toilet Seat” two days after publishing “Toilet Seat Installation for Dummies,” you might want to rethink your strategy.

The thing is, and I’m going to use another cliché here to drive home the point, you never get a second chance to make a first impression. Potential customers are roving the Internet right now looking for exactly what you’re selling. And if what they find is an only somewhat informative article stuffed with keywords and awful spelling and grammar mistakes… well, you don’t want that. Oh, and search engines think it’s spammy too…

A word about copyright

We’re not copyright lawyers, so we can’t give you the ins and outs on all the technicalities. What we can tell you (and you already know this) is that it’s not okay to steal someone else’s work. You wouldn’t want them to do it to you. This includes images. So whenever you can, make your own images or find images that you can either purchase the rights to (stock imagery) or license under Creative Commons.

It’s usually okay to quote short portions of text, as long as you attribute the original source (and a link is nice). In general, titles and ideas can’t be copyrighted (though they might be trademarked or patented). When in doubt, asking for permission is smart.

That said, part of the fun of the Internet is the remixing culture which includes using things like memes and gifs. Just know that if you go that route, there is a certain amount of risk involved.

Editing

Your content needs to go through at least one editing cycle by someone other than the original author. There are two types of editing, developmental (which looks at the underlying structure of a piece that happens earlier in the writing cycle) and copy editing (which makes sure all the words are there and spelled right in the final draft).

If you have a very small team or are in a rush (and are working with writers that have some skill), you can often skip the developmental editing phase. But know that an investment in that close read of an early draft is often beneficial to the piece and to the writer’s overall growth.

Many content teams peer-edit work, which can be great. Other organizations prefer to run their work by a dedicated editor. There’s no wrong answer, as long as the work gets edited.

Ensuring proper basic SEO

The good news is that search engines are doing their best to get closer and closer to understanding and processing natural language. So good writing (including the natural use of synonyms rather than repeating those keywords over and over and…) will take you a long way towards SEO mastery.

For that reason (and because it’s easy to get trapped in keyword thinking and veer into keyword stuffing), it’s often nice to think of your SEO check as a further edit of the post rather than something you should think about as you’re writing.

But there are still a few things you can do to help cover those SEO bets. Once you have that draft, do a pass for SEO to make sure you’ve covered the following:

  • Use your keyword in your title
  • Use your keyword (or long-tail keyword phrase) in an H2
  • Make sure the keyword appears at least once (though not more than four times, especially if it’s a phrase) in the body of the post
  • Use image alt text (including the keyword when appropriate)

Finding time to write when you don’t have any

Writing (assuming you’re the one doing the writing) can require a lot of energy—especially if you want to do it well. The best way to find time to write is to break each project down into little tasks. For example, writing a blog post actually breaks down into these steps (though not always in this order):

  • Research
  • Outline
  • Fill in outline
  • Rewrite and finish post
  • Write headline
  • SEO check
  • Final edit
  • Select hero image (optional)

So if you only have random chunks of time, set aside 15-30 minutes one day (when your research is complete) to write a really great outline. Then find an hour the next to fill that outline in. After an additional hour the following day, (unless you’re dealing with a research-heavy post) you should have a solid draft by the end of day three.

The magic of working this way is that you engage your brain and then give it time to work in the background while you accomplish other tasks. Hemingway used to stop mid-sentence at the end of his writing days for the same reason.

Once you have that draft nailed, the rest of the steps are relatively easy (even the headline, which often takes longer to write than any other sentence, is easier after you’ve immersed yourself in the post over a few days).

Working with design/development

Every designer and developer is a little different, so we can’t give you any blanket cure-alls for inter-departmental workarounds (aka “smashing silos”). But here are some suggestions to help you convey your vision while capitalizing on the expertise of your coworkers to make your content truly excellent.

Ask for feedback

From the initial brainstorm to general questions about how to work together, asking your team members what they think and prefer can go a long way. Communicate all the details you have (especially the unspoken expectations) and then listen.

If your designer tells you up front that your color scheme is years out of date, you’re saving time. And if your developer tells you that the interactive version of that timeline will require four times the resources, you have the info you need to fight for more budget (or reassess the project).

Check in

Things change in the design and development process. If you have interim check-ins already set up with everyone who’s working on the project, you’ll avoid the potential for nasty surprises at the end. Like finding out that no one has experience working with that hot new coding language you just read about and they’re trying to do a workaround that isn’t working.

Proofread

Your job isn’t done when you hand over the copy to your designer or developer. Not only might they need help rewriting some of your text so that it fits in certain areas, they will also need you to proofread the final version. Accidents happen in the copy-and-paste process and there’s nothing sadder than a really beautiful (and expensive) piece of content that wraps up with a typo:

Know when to fight for an idea

Conflict isn’t fun, but sometimes it’s necessary. The more people involved in your content, the more watered down the original idea can get and the more roadblocks and conflicting ideas you’ll run into. Some of that is very useful. But sometimes you’ll get pulled off track. Always remember who owns the final product (this may not be you) and be ready to stand up for the idea if it’s starting to get off track.

We’re confident this list will set you on the right path to creating some really awesome content, but is there more you’d like to know? Ask us your questions in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

Reblogged 4 years ago from tracking.feedpress.it

Pinpoint vs. Floodlight Content and Keyword Research Strategies – Whiteboard Friday

Posted by randfish

When we’re doing keyword research and targeting, we have a choice to make: Are we targeting broader keywords with multiple potential searcher intents, or are we targeting very narrow keywords where it’s pretty clear what the searchers were looking for? Those different approaches, it turns out, apply to content creation and site architecture, as well. In today’s Whiteboard Friday, Rand illustrates that connection.

Pinpoint vs Floodlight Content and Keyword Research Strategy Whiteboard

For reference, here are stills of this week’s whiteboards. Click on it to open a high resolution image in a new tab!

Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we’re going to chat about pinpoint versus floodlight tactics for content targeting, content strategy, and keyword research, keyword targeting strategy. This is also called the shotgun versus sniper approach, but I’m not a big gun fan. So I’m going to stick with my floodlight versus pinpoint, plus, you know, for the opening shot we don’t have a whole lot of weaponry here at Moz, but we do have lighting.

So let’s talk through this at first. You’re going through and doing some keyword research. You’re trying to figure out which terms and phrases to target. You might look down a list like this.

Well, maybe, I’m using an example here around antique science equipment. So you see these various terms and phrases. You’ve got your volume numbers. You probably have lots of other columns. Hopefully, you’ve watched the Whiteboard Friday on how to do keyword research like it’s 2015 and not 2010.

So you know you have all these other columns to choose from, but I’m simplifying here for the purpose of this experiment. So you might choose some of these different terms. Now, they’re going to have different kinds of tactics and a different strategic approach, depending on the breadth and depth of the topic that you’re targeting. That’s going to determine what types of content you want to create and where you place it in your information architecture. So I’ll show you what I mean.

The floodlight approach

For antique science equipment, this is a relatively broad phrase. I’m going to do my floodlight analysis on this, and floodlight analysis is basically saying like, “Okay, are there multiple potential searcher intents?” Yeah, absolutely. That’s a fairly broad phase. People could be looking to transact around it. They might be looking for research information, historical information, different types of scientific equipment that they’re looking for.

<img src="http://d1avok0lzls2w.cloudfront.net/uploads/blog/55b15fc96679b8.73854740.jpg" rel="box-shadow: 0 0 10px 0 #999; border-radius: 20px;"

Are there four or more approximately unique keyword terms and phrases to target? Well, absolutely, in fact, there’s probably more than that. So antique science equipment, antique scientific equipment, 18th century scientific equipment, all these different terms and phrases that you might explore there.

Is this a broad content topic with many potential subtopics? Again, yes is the answer to this. Are we talking about generally larger search volume? Again, yes, this is going to have a much larger search volume than some of the narrower terms and phrases. That’s not always the case, but it is here.

The pinpoint approach

For pinpoint analysis, we kind of go the opposite direction. So we might look at a term like antique test tubes, which is a very specific kind of search, and that has a clear single searcher intent or maybe two. Someone might be looking for actually purchasing one of those, or they might be looking to research them and see what kinds there are. Not a ton of additional intents behind that. One to three unique keywords, yeah, probably. It’s pretty specific. Antique test tubes, maybe 19th century test tubes, maybe old science test tubes, but you’re talking about a limited set of keywords that you’re targeting. It’s a narrow content topic, typically smaller search volume.

<img src="http://d1avok0lzls2w.cloudfront.net/uploads/blog/55b160069eb6b1.12473448.jpg" rel="box-shadow: 0 0 10px 0 #999; border-radius: 20px;"

Now, these are going to feed into your IA, your information architecture, and your site structure in this way. So floodlight content generally sits higher up. It’s the category or the subcategory, those broad topic terms and phrases. Those are going to turn into those broad topic category pages. Then you might have multiple, narrower subtopics. So we could go into lab equipment versus astronomical equipment versus chemistry equipment, and then we’d get into those individual pinpoints from the pinpoint analysis.

How do I decide which approach is best for my keywords?

Why are we doing this? Well, generally speaking, if you can take your terms and phrases and categorize them like this and then target them differently, you’re going to provide a better, more logical user experience. Someone who searches for antique scientific equipment, they’re going to really expect to see that category and then to be able to drill down into things. So you’re providing them the experience they predict, the one that they want, the one that they expect.

It’s better for topic modeling analysis and for all of the algorithms around things like Hummingbird, where Google looks at: Are you using the types of terms and phrases, do you have the type of architecture that we expect to find for this keyword?

It’s better for search intent targeting, because the searcher intent is going to be fulfilled if you provide the multiple paths versus the narrow focus. It’s easier keyword targeting for you. You’re going to be able to know, “Hey, I need to target a lot of different terms and phrases and variations in floodlight and one very specific one in pinpoint.”

There’s usually higher searcher satisfaction, which means you get lower bounce rate. You get more engagement. You usually get a higher conversion rate. So it’s good for all those things.

For example…

I’ll actually create pages for each of antique scientific equipment and antique test tubes to illustrate this. So I’ve got two different types of pages here. One is my antique scientific equipment page.

<img src="http://d1avok0lzls2w.cloudfront.net/uploads/blog/55b161fa871e32.54731215.jpg" rel="box-shadow: 0 0 10px 0 #999; border-radius: 20px;"

This is that floodlight, shotgun approach, and what we’re doing here is going to be very different from a pinpoint approach. It’s looking at like, okay, you’ve landed on antique scientific equipment. Now, where do you want to go? What do you want to specifically explore? So we’re going to have a little bit of content specifically about this topic, and how robust that is depends on the type of topic and the type of site you are.

If this is an e-commerce site or a site that’s showing information about various antiques, well maybe we don’t need very much content here. You can see the filtration that we’ve got is going to be pretty broad. So I can go into different centuries. I can go into chemistry, astronomy, physics. Maybe I have a safe for kids type of stuff if you want to buy your kids antique lab equipment, which you might be. Who knows? Maybe you’re awesome and your kids are too. Then different types of stuff at a very broad level. So I can go to microscopes or test tubes, lab searches.

This is great because it’s got broad intent foci, serving many different kinds of searchers with the same page because we don’t know exactly what they want. It’s got multiple keyword targets so that we can go after broad phrases like antique or old or historical or 13th, 14th, whatever century, science and scientific equipment ,materials, labs, etc., etc., etc. This is a broad page that could reach any and all of those. Then there’s lots of navigational and refinement options once you get there.

Total opposite of pinpoint content.

<img src="http://d1avok0lzls2w.cloudfront.net/uploads/blog/55b1622740f0b5.73477500.jpg" rel="box-shadow: 0 0 10px 0 #999; border-radius: 20px;"

Pinpoint content, like this antique test tubes page, we’re still going to have some filtration options, but one of the important things to note is note how these are links that take you deeper. Depending on how deep the search volume goes in terms of the types of queries that people are performing, you might want to make a specific page for 17th century antique test tubes. You might not, and if you don’t want to do that, you can have these be filters that are simply clickable and change the content of the page here, narrowing the options rather than creating completely separate pages.

So if there’s no search volume for these different things and you don’t think you need to separately target them, go ahead and just make them filters on the data that already appears on this page or the results that are already in here as opposed to links that are going to take you deeper into specific content and create a new page, a new experience.

You can also see I’ve got my individual content here. I probably would go ahead and add some content specifically to this page that is just unique here and that describes antique test tubes and the things that your searchers need. They might want to know things about price. They might want to know things about make and model. They might want to know things about what they were used for. Great. You can have that information broadly, and then individual pieces of content that someone might dig into.

This is narrower intent foci obviously, serving maybe one or two searcher intents. This is really talking about targeting maybe one to two separate keywords. So antique test tubes, maybe lab tubes or test tube sets, but not much beyond that.

Ten we’re going to have fewer navigational paths, fewer distractions. We want to keep the searcher. Because we know their intent, we want to guide them along the path that we know they probably want to take and that we want them to take.

So when you’re considering your content, choose wisely between shotgun/floodlight approach or sniper/pinpoint approach. Your searchers will be better served. You’ll probably rank better. You’ll be more likely to earn links and amplification. You’re going to be more successful.

Looking forward to the comments, and we’ll see you again next week for another edition of Whiteboard Friday. Take care.

Video transcription by Speechpad.com

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Reblogged 4 years ago from tracking.feedpress.it

The Inbound Marketing Economy

Posted by KelseyLibert

When it comes to job availability and security, the future looks bright for inbound marketers.

The Bureau of Labor Statistics (BLS) projects that employment for marketing managers will grow by 13% between 2012 and 2022. Job security for marketing managers also looks positive according to the BLS, which cites that marketing employees are less likely to be laid off since marketing drives revenue for most businesses.

While the BLS provides growth estimates for managerial-level marketing roles, these projections don’t give much insight into the growth of digital marketing, specifically the disciplines within digital marketing. As we know, “marketing” can refer to a variety of different specializations and methodologies. Since digital marketing is still relatively new compared to other fields, there is not much comprehensive research on job growth and trends in our industry.

To gain a better understanding of the current state of digital marketing careers, Fractl teamed up with Moz to identify which skills and roles are the most in demand and which states have the greatest concentration of jobs.

Methodology

We analyzed 75,315 job listings posted on Indeed.com during June 2015 based on data gathered from job ads containing the following terms:

  • “content marketing” or “content strategy”
  • “SEO” or “search engine marketing”
  • “social media marketing” or “social media management”
  • “inbound marketing” or “digital marketing”
  • “PPC” (pay-per-click)
  • “Google Analytics”

We chose the above keywords based on their likelihood to return results that were marketing-focused roles (for example, just searching for “social media” may return a lot of jobs that are not primarily marketing focused, such as customer service). The occurrence of each of these terms in job listings was quantified and segmented by state. We then combined the job listing data with U.S. Census Bureau population estimates to calculate the jobs per capita for each keyword, giving us the states with the greatest concentration of jobs for a given search query.

Using the same data, we identified which job titles appeared most frequently. We used existing data from Indeed to determine job trends and average salaries. LinkedIn search results were also used to identify keyword growth in user profiles.

Marketing skills are in high demand, but talent is hard to find

As the marketing industry continues to evolve due to emerging technology and marketing platforms, marketers are expected to pick up new skills and broaden their knowledge more quickly than ever before. Many believe this rapid rate of change has caused a marketing skills gap, making it difficult to find candidates with the technical, creative, and business proficiencies needed to succeed in digital marketing.

The ability to combine analytical thinking with creative execution is highly desirable and necessary in today’s marketing landscape. According to an article in The Guardian, “Companies will increasingly look for rounded individuals who can combine analytical rigor with the ability to apply this knowledge in a practical and creative context.” Being both detail-oriented and a big picture thinker is also a sought-after combination of attributes. A report by The Economist and Marketo found that “CMOs want people with the ability to grasp and manage the details (in data, technology, and marketing operations) combined with a view of the strategic big picture.”

But well-rounded marketers are hard to come by. In a study conducted by Bullhorn, 64% of recruiters reported a shortage of skilled candidates for available marketing roles. Wanted Analytics recently found that one of the biggest national talent shortages is for marketing manager roles, with only two available candidates per job opening.

Increase in marketers listing skills in content marketing, inbound marketing, and social media on LinkedIn profiles

While recruiter frustrations may indicate a shallow talent pool, LinkedIn tells a different story—the number of U.S.-based marketers who identify themselves as having digital marketing skills is on the rise. Using data tracked by Rand and LinkedIn, we found the following increases of marketing keywords within user profiles.

growth of marketing keywords in linkedin profiles

The number of profiles containing “content marketing” has seen the largest growth, with a 168% increase since 2013. “Social media” has also seen significant growth with a 137% increase. “Social media” appears on a significantly higher volume of profiles than the other keywords, with more than 2.2 million profiles containing some mention of social media. Although “SEO” has not seen as much growth as the other keywords, it still has the second-highest volume with it appearing in 630,717 profiles.

Why is there a growing number of people self-identifying as having the marketing skills recruiters want, yet recruiters think there is a lack of talent?

While there may be a lot of specialists out there, perhaps recruiters are struggling to fill marketing roles due to a lack of generalists or even a lack of specialists with surface-level knowledge of other areas of digital marketing (also known as a T-shaped marketer).

Popular job listings show a need for marketers to diversify their skill set

The data we gathered from LinkedIn confirm this, as the 20 most common digital marketing-related job titles being advertised call for a broad mix of skills.

20 most common marketing job titles

It’s no wonder that marketing manager roles are hard to fill, considering the job ads are looking for proficiency in a wide range of marketing disciplines including social media marketing, SEO, PPC, content marketing, Google Analytics, and digital marketing. Even job descriptions for specialist roles tend to call for skills in other disciplines. A particular role such as SEO Specialist may call for several skills other than SEO, such as PPC, content marketing, and Google Analytics.

Taking a more granular look at job titles, the chart below shows the five most common titles for each search query. One might expect mostly specialist roles to appear here, but there is a high occurrence of generalist positions, such as Digital Marketing Manager and Marketing Manager.

5 most common job titles by search query

Only one job title containing “SEO” cracked the top five. This indicates that SEO knowledge is a desirable skill within other roles, such as general digital marketing and development.

Recruiter was the third most common job title among job listings containing social media keywords, which suggests a need for social media skills in non-marketing roles.

Similar to what we saw with SEO job titles, only one job title specific to PPC (Paid Search Specialist) made it into the top job titles. PPC skills are becoming necessary for more general marketing roles, such as Marketing Manager and Digital Marketing Specialist.

Across all search queries, the most common jobs advertised call for a broad mix of skills. This tells us hiring managers are on the hunt for well-rounded candidates with a diverse range of marketing skills, as opposed to candidates with expertise in one area.

Marketers who cultivate diverse skill sets are better poised to gain an advantage over other job seekers, excel in their job role, and accelerate career growth. Jason Miller says it best in his piece about the new breed hybrid marketer:

future of marketing quote linkedin

Inbound job demand and growth: Most-wanted skills and fastest-growing jobs

Using data from Indeed, we identified which inbound skills have the highest demand and which jobs are seeing the most growth. Social media keywords claim the largest volume of results out of the terms we searched for during June 2015.

number of marketing job listings by keyword

“Social media marketing” or “social media management” appeared the most frequently in the job postings we analyzed, with 46.7% containing these keywords. “PPC” returned the smallest number of results, with only 3.8% of listings containing this term.

Perhaps this is due to social media becoming a more necessary skill across many industries and not only a necessity for marketers (for example, social media’s role in customer service and recruitment). On the other hand, job roles calling for PPC or SEO skills are most likely marketing-focused. The prevalence of social media jobs also may indicate that social media has gained wide acceptance as a necessary part of a marketing strategy. Additionally, social media skills are less valuable compared to other marketing skills, making it cheaper to hire for these positions (we will explore this further in the average salaries section below).

Our search results also included a high volume of jobs containing “digital marketing” and “SEO” keywords, which made up 19.5% and 15.5% respectively. At 5.8%, “content marketing” had the lowest search volume after “PPC.”

Digital marketing, social media, and content marketing experienced the most job growth

While the number of job listings tells us which skills are most in demand today, looking at which jobs are seeing the most growth can give insight into shifting demands.

digital marketing growth on  indeed.com

Digital marketing job listings have seen substantial growth since 2009, when it accounted for less than 0.1% of Indeed.com search results. In January 2015, this number had climbed to nearly 0.3%.

social media job growth on indeed.com

While social media marketing jobs have seen some uneven growth, as of January 2015 more than 0.1% of all job listings on Indeed.com contained the term “social media marketing” or “social media management.” This shows a significant upward trend considering this number was around 0.05% for most of 2014. It’s also worth noting that “social media” is currently ranked No. 10 on Indeed’s list of top job trends.

content marketing job growth on indeed.com

Despite its growth from 0.02% to nearly 0.09% of search volume in the last four years, “content marketing” does not make up a large volume of job postings compared to “digital marketing” or “social media.” In fact, “SEO” has seen a decrease in growth but still constitutes a higher percentage of job listings than content marketing.

SEO, PPC, and Google Analytics job growth has slowed down

On the other hand, search volume on Indeed has either decreased or plateaued for “SEO,” “PPC,” and “Google Analytics.”

seo job growth on indeed.com

As we see in the graph, the volume of “SEO job” listings peaked between 2011 and 2012. This is also around the time content marketing began gaining popularity, thanks to the Panda and Penguin updates. The decrease may be explained by companies moving their marketing budgets away from SEO and toward content or social media positions. However, “SEO” still has a significant amount of job listings, with it appearing in more than 0.2% of job listings on Indeed as of 2015.

ppc job growth on indeed.com

“PPC” has seen the most staggered growth among all the search terms we analyzed, with its peak of nearly 0.1% happening between 2012 and 2013. As of January of this year, search volume was below 0.05% for “PPC.”

google analytics job growth on indeed.com

Despite a lack of growth, the need for this skill remains steady. Between 2008 and 2009, “Google Analytics” job ads saw a huge spike on Indeed. Since then, the search volume has tapered off and plateaued through January 2015.

Most valuable skills are SEO, digital marketing, and Google Analytics

So we know the number of social media, digital marketing, and content marketing jobs are on the rise. But which skills are worth the most? We looked at the average salaries based on keywords and estimates from Indeed and salaries listed in job ads.

national average marketing salaries

Job titles containing “SEO” had an average salary of $102,000. Meanwhile, job titles containing “social media marketing” had an average salary of $51,000. Considering such a large percentage of the job listings we analyzed contained “social media” keywords, there is a much larger pool of jobs; therefore, a lot of entry level social media jobs or internships are probably bringing down the average salary.

Job titles containing “Google Analytics” had the second-highest average salary at $82,000, but this should be taken with a grain of salt considering “Google Analytics” will rarely appear as part of a job title. The chart below, which shows average salaries for jobs containing keywords anywhere in the listing as opposed to only in the title, gives a more accurate idea of how much “Google Analytics” job roles earn on average.national salary averages marketing keywords

Looking at the average salaries based on keywords that appeared anywhere within the job listing (job title, job description, etc.) shows a slightly different picture. Based on this, jobs containing “digital marketing” or “inbound marketing” had the highest average salary of $84,000. “SEO” and “Google Analytics” are tied for second with $76,000 as the average salary.

“Social media marketing” takes the bottom spot with an average salary of $57,000. However, notice that there is a higher average salary for jobs that contain “social media” within the job listing as opposed to jobs that contain “social media” within the title. This suggests that social media skills may be more valuable when combined with other responsibilities and skills, whereas a strictly social media job, such as Social Media Manager or Social Media Specialist, does not earn as much.

Massachusetts, New York, and California have the most career opportunities for inbound marketers

Looking for a new job? Maybe it’s time to pack your bags for Boston.

Massachusetts led the U.S. with the most jobs per capita for digital marketing, content marketing, SEO, and Google Analytics. New York took the top spot for social media jobs per capita, while Utah had the highest concentration of PPC jobs. California ranked in the top three for digital marketing, content marketing, social media, and Google Analytics. Illinois appeared in the top 10 for every term and usually ranked within the top five. Most of the states with the highest job concentrations are in the Northeast, West, and East Coast, with a few exceptions such as Illinois and Minnesota.

But you don’t necessarily have to move to a new state to increase the odds of landing an inbound marketing job. Some unexpected states also made the cut, with Connecticut and Vermont ranking within the top 10 for several keywords.

concentration of digital marketing jobs

marketing jobs per capita

Job listings containing “digital marketing” or “inbound marketing” were most prevalent in Massachusetts, New York, Illinois, and California, which is most likely due to these states being home to major cities where marketing agencies and large brands are headquartered or have a presence. You will notice these four states make an appearance in the top 10 for every other search query and usually rank close to the top of the list.

More surprising to find in the top 10 were smaller states such as Connecticut and Vermont. Many major organizations are headquartered in Connecticut, which may be driving the state’s need for digital marketing talent. Vermont’s high-tech industry growth may explain its high concentration of digital marketing jobs.

content marketing job concentration

per capita content marketing jobs

Although content marketing jobs are growing, there are still a low volume overall of available jobs, as shown by the low jobs per capita compared to most of the other search queries. With more than three jobs per capita, Massachusetts and New York topped the list for the highest concentration of job listings containing “content marketing” or “content strategy.” California and Illinois rank in third and fourth with 2.8 and 2.1 jobs per capita respectively.

seo job concentration

seo jobs per capita

Again, Massachusetts and New York took the top spots, each with more than eight SEO jobs per capita. Utah took third place for the highest concentration of SEO jobs. Surprised to see Utah rank in the top 10? Its inclusion on this list and others may be due to its booming tech startup scene, which has earned the metropolitan areas of Salt Lake City, Provo, and Park City the nickname Silicon Slopes.

social media job concentration

social media jobs per capita

Compared to the other keywords, “social media” sees a much higher concentration of jobs. New York dominates the rankings with nearly 24 social media jobs per capita. The other top contenders of California, Massachusetts, and Illinois all have more than 15 social media jobs per capita.

The numbers at the bottom of this list can give you an idea of how prevalent social media jobs were compared to any other keyword we analyzed. Minnesota’s 12.1 jobs per capita, the lowest ranking state in the top 10 for social media, trumps even the highest ranking state for any other keyword (11.5 digital marketing jobs per capita in Massachusetts).

ppc job concentration

ppc jobs per capita

Due to its low overall number of available jobs, “PPC” sees the lowest jobs per capita out of all the search queries. Utah has the highest concentration of jobs with just two PPC jobs per 100,000 residents. It is also the only state in the top 10 to crack two jobs per capita.

google analytics job concentration

google analytics jobs per capita

Regionally, the Northeast and West dominate the rankings, with the exception of Illinois. Massachusetts and New York are tied for the most Google Analytics job postings, each with nearly five jobs per capita. At more than three jobs per 100,000 residents, California, Illinois, and Colorado round out the top five.

Overall, our findings indicate that none of the marketing disciplines we analyzed are dying career choices, but there is a need to become more than a one-trick pony—or else you’ll risk getting passed up for job opportunities. As the marketing industry evolves, there is a greater need for marketers who “wear many hats” and have competencies across different marketing disciplines. Marketers who develop diverse skill sets can gain a competitive advantage in the job market and achieve greater career growth.

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Reblogged 4 years ago from tracking.feedpress.it

Becoming Better SEO Scientists – Whiteboard Friday

Posted by MarkTraphagen

Editor’s note: Today we’re featuring back-to-back episodes of Whiteboard Friday from our friends at Stone Temple Consulting. Make sure to also check out the second episode, “UX, Content Quality, and SEO” from Eric Enge.

Like many other areas of marketing, SEO incorporates elements of science. It becomes problematic for everyone, though, when theories that haven’t been the subject of real scientific rigor are passed off as proven facts. In today’s Whiteboard Friday, Stone Temple Consulting’s Mark Traphagen is here to teach us a thing or two about the scientific method and how it can be applied to our day-to-day work.

For reference, here’s a still of this week’s whiteboard.
Click on it to open a high resolution image in a new tab!

Video transcription

Howdy, Mozzers. Mark Traphagen from Stone Temple Consulting here today to share with you how to become a better SEO scientist. We know that SEO is a science in a lot of ways, and everything I’m going to say today applies not only to SEO, but testing things like your AdWords, how does that work, quality scores. There’s a lot of different applications you can make in marketing, but we’ll focus on the SEO world because that’s where we do a lot of testing. What I want to talk to you about today is how that really is a science and how we need to bring better science in it to get better results.

The reason is in astrophysics, things like that we know there’s something that they’re talking about these days called dark matter, and dark matter is something that we know it’s there. It’s pretty much accepted that it’s there. We can’t see it. We can’t measure it directly. We don’t even know what it is. We can’t even imagine what it is yet, and yet we know it’s there because we see its effect on things like gravity and mass. Its effects are everywhere. And that’s a lot like search engines, isn’t it? It’s like Google or Bing. We see the effects, but we don’t see inside the machine. We don’t know exactly what’s happening in there.

An artist’s depiction of how search engines work.

So what do we do? We do experiments. We do tests to try to figure that out, to see the effects, and from the effects outside we can make better guesses about what’s going on inside and do a better job of giving those search engines what they need to connect us with our customers and prospects. That’s the goal in the end.

Now, the problem is there’s a lot of testing going on out there, a lot of experiments that maybe aren’t being run very well. They’re not being run according to scientific principles that have been proven over centuries to get the best possible results.

Basic data science in 10 steps

So today I want to give you just very quickly 10 basic things that a real scientist goes through on their way to trying to give you better data. Let’s see what we can do with those in our SEO testing in the future.

So let’s start with number one. You’ve got to start with a hypothesis. Your hypothesis is the question that you want to solve. You always start with that, a good question in mind, and it’s got to be relatively narrow. You’ve got to narrow it down to something very specific. Something like how does time on page effect rankings, that’s pretty narrow. That’s very specific. That’s a good question. Might be able to test that. But something like how do social signals effect rankings, that’s too broad. You’ve got to narrow it down. Get it down to one simple question.

Then you choose a variable that you’re going to test. Out of all the things that you could do, that you could play with or you could tweak, you should choose one thing or at least a very few things that you’re going to tweak and say, “When we tweak this, when we change this, when we do this one thing, what happens? Does it change anything out there in the world that we are looking at?” That’s the variable.

The next step is to set a sample group. Where are you going to gather the data from? Where is it going to come from? That’s the world that you’re working in here. Out of all the possible data that’s out there, where are you going to gather your data and how much? That’s the small circle within the big circle. Now even though it’s smaller, you’re probably not going to get all the data in the world. You’re not going to scrape every search ranking that’s possible or visit every URL.

You’ve got to ask yourself, “Is it large enough that we’re at least going to get some validity?” If I wanted to find out what is the typical person in Seattle and I might walk through just one part of the Moz offices here, I’d get some kind of view. But is that a typical, average person from Seattle? I’ve been around here at Moz. Probably not. But this was large enough.

Also, it should be randomized as much as possible. Again, going back to that example, if I just stayed here within the walls of Moz and do research about Mozzers, I’d learn a lot about what Mozzers do, what Mozzers think, how they behave. But that may or may not be applicable to the larger world outside, so you randomized.

We want to control. So we’ve got our sample group. If possible, it’s always good to have another sample group that you don’t do anything to. You do not manipulate the variable in that group. Now, why do you have that? You have that so that you can say, to some extent, if we saw a change when we manipulated our variable and we did not see it in the control group, the same thing didn’t happen, more likely it’s not just part of the natural things that happen in the world or in the search engine.

If possible, even better you want to make that what scientists call double blind, which means that even you the experimenter don’t know who that control group is out of all the SERPs that you’re looking at or whatever it is. As careful as you might be and honest as you might be, you can end up manipulating the results if you know who is who within the test group? It’s not going to apply to every test that we do in SEO, but a good thing to have in mind as you work on that.

Next, very quickly, duration. How long does it have to be? Is there sufficient time? If you’re just testing like if I share a URL to Google +, how quickly does it get indexed in the SERPs, you might only need a day on that because typically it takes less than a day in that case. But if you’re looking at seasonality effects, you might need to go over several years to get a good test on that.

Let’s move to the second group here. The sixth thing keep a clean lab. Now what that means is try as much as possible to keep anything that might be dirtying your results, any kind of variables creeping in that you didn’t want to have in the test. Hard to do, especially in what we’re testing, but do the best you can to keep out the dirt.

Manipulate only one variable. Out of all the things that you could tweak or change choose one thing or a very small set of things. That will give more accuracy to your test. The more variables that you change, the more other effects and inner effects that are going to happen that you may not be accounting for and are going to muddy your results.

Make sure you have statistical validity when you go to analyze those results. Now that’s beyond the scope of this little talk, but you can read up on that. Or even better, if you are able to, hire somebody or work with somebody who is a trained data scientist or has training in statistics so they can look at your evaluation and say the correlations or whatever you’re seeing, “Does it have a statistical significance?” Very important.

Transparency. As much as possible, share with the world your data set, your full results, your methodology. What did you do? How did you set up the study? That’s going to be important to our last step here, which is replication and falsification, one of the most important parts of any scientific process.

So what you want to invite is, hey we did this study. We did this test. Here’s what we found. Here’s how we did it. Here’s the data. If other people ask the same question again and run the same kind of test, do they get the same results? Somebody runs it again, do they get the same results? Even better, if you have some people out there who say, “I don’t think you’re right about that because I think you missed this, and I’m going to throw this in and see what happens,” aha they falsify. That might make you feel like you failed, but it’s success because in the end what are we after? We’re after the truth about what really works.

Think about your next test, your next experiment that you do. How can you apply these 10 principles to do better testing, get better results, and have better marketing? Thanks.

Video transcription by Speechpad.com

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Reblogged 4 years ago from tracking.feedpress.it

How to Rid Your Website of Six Common Google Analytics Headaches

Posted by amandaecking

I’ve been in and out of Google Analytics (GA) for the past five or so years agency-side. I’ve seen three different code libraries, dozens of new different features and reports roll out, IP addresses stop being reported, and keywords not-so-subtly phased out of the free platform.

Analytics has been a focus of mine for the past year or so—mainly, making sure clients get their data right. Right now, our new focus is closed loop tracking, but that’s a topic for another day. If you’re using Google Analytics, and only Google Analytics for the majority of your website stats, or it’s your primary vehicle for analysis, you need to make sure it’s accurate.

Not having data pulling in or reporting properly is like building a house on a shaky foundation: It doesn’t end well. Usually there are tears.

For some reason, a lot of people, including many of my clients, assume everything is tracking properly in Google Analytics… because Google. But it’s not Google who sets up your analytics. People do that. And people are prone to make mistakes.

I’m going to go through six scenarios where issues are commonly encountered with Google Analytics.

I’ll outline the remedy for each issue, and in the process, show you how to move forward with a diagnosis or resolution.

1. Self-referrals

This is probably one of the areas we’re all familiar with. If you’re seeing a lot of traffic from your own domain, there’s likely a problem somewhere—or you need to extend the default session length in Google Analytics. (For example, if you have a lot of long videos or music clips and don’t use event tracking; a website like TEDx or SoundCloud would be a good equivalent.)

Typically one of the first things I’ll do to help diagnose the problem is include an advanced filter to show the full referrer string. You do this by creating a filter, as shown below:

Filter Type: Custom filter > Advanced
Field A: Hostname
Extract A: (.*)
Field B: Request URI
Extract B: (.*)
Output To: Request URI
Constructor: $A1$B1

You’ll then start seeing the subdomains pulling in. Experience has shown me that if you have a separate subdomain hosted in another location (say, if you work with a separate company and they host and run your mobile site or your shopping cart), it gets treated by Google Analytics as a separate domain. Thus, you ‘ll need to implement cross domain tracking. This way, you can narrow down whether or not it’s one particular subdomain that’s creating the self-referrals.

In this example below, we can see all the revenue is being reported to the booking engine (which ended up being cross domain issues) and their own site is the fourth largest traffic source:

I’ll also a good idea to check the browser and device reports to start narrowing down whether the issue is specific to a particular element. If it’s not, keep digging. Look at pages pulling the self-referrals and go through the code with a fine-tooth comb, drilling down as much as you can.

2. Unusually low bounce rate

If you have a crazy-low bounce rate, it could be too good to be true. Unfortunately. An unusually low bounce rate could (and probably does) mean that at least on some pages of your website have the same Google Analytics tracking code installed twice.

Take a look at your source code, or use Google Tag Assistant (though it does have known bugs) to see if you’ve got GA tracking code installed twice.

While I tell clients having Google Analytics installed on the same page can lead to double the pageviews, I’ve not actually encountered that—I usually just say it to scare them into removing the duplicate implementation more quickly. Don’t tell on me.

3. Iframes anywhere

I’ve heard directly from Google engineers and Google Analytics evangelists that Google Analytics does not play well with iframes, and that it will never will play nice with this dinosaur technology.

If you track the iframe, you inflate your pageviews, plus you still aren’t tracking everything with 100% clarity.

If you don’t track across iframes, you lose the source/medium attribution and everything becomes a self-referral.

Damned if you do; damned if you don’t.

My advice: Stop using iframes. They’re Netscape-era technology anyway, with rainbow marquees and Comic Sans on top. Interestingly, and unfortunately, a number of booking engines (for hotels) and third-party carts (for ecommerce) still use iframes.

If you have any clients in those verticals, or if you’re in the vertical yourself, check with your provider to see if they use iframes. Or you can check for yourself, by right-clicking as close as you can to the actual booking element:

iframe-booking.png

There is no neat and tidy way to address iframes with Google Analytics, and usually iframes are not the only complicated element of setup you’ll encounter. I spent eight months dealing with a website on a subfolder, which used iframes and had a cross domain booking system, and the best visibility I was able to get was about 80% on a good day.

Typically, I’d approach diagnosing iframes (if, for some reason, I had absolutely no access to viewing a website or talking to the techs) similarly to diagnosing self-referrals, as self-referrals are one of the biggest symptoms of iframe use.

4. Massive traffic jumps

Massive jumps in traffic don’t typically just happen. (Unless, maybe, you’re Geraldine.) There’s always an explanation—a new campaign launched, you just turned on paid ads for the first time, you’re using content amplification platforms, you’re getting a ton of referrals from that recent press in The New York Times. And if you think it just happened, it’s probably a technical glitch.

I’ve seen everything from inflated pageviews result from including tracking on iframes and unnecessary implementation of virtual pageviews, to not realizing the tracking code was installed on other microsites for the same property. Oops.

Usually I’ve seen this happen when the tracking code was somewhere it shouldn’t be, so if you’re investigating a situation of this nature, first confirm the Google Analytics code is only in the places it needs to be.Tools like Google Tag Assistant and Screaming Frog can be your BFFs in helping you figure this out.

Also, I suggest bribing the IT department with sugar (or booze) to see if they’ve changed anything lately.

5. Cross-domain tracking

I wish cross-domain tracking with Google Analytics out of the box didn’t require any additional setup. But it does.

If you don’t have it set up properly, things break down quickly, and can be quite difficult to untangle.

The older the GA library you’re using, the harder it is. The easiest setup, by far, is Google Tag Manager with Universal Analytics. Hard-coded universal analytics is a bit more difficult because you have to implement autoLink manually and decorate forms, if you’re using them (and you probably are). Beyond that, rather than try and deal with it, I say update your Google Analytics code. Then we can talk.

Where I’ve seen the most murkiness with tracking is when parts of cross domain tracking are implemented, but not all. For some reason, if allowLinker isn’t included, or you forget to decorate all the forms, the cookies aren’t passed between domains.

The absolute first place I would start with this would be confirming the cookies are all passing properly at all the right points, forms, links, and smoke signals. I’ll usually use a combination of the Real Time report in Google Analytics, Google Tag Assistant, and GA debug to start testing this. Any debug tool you use will mean you’re playing in the console, so get friendly with it.

6. Internal use of UTM strings

I’ve saved the best for last. Internal use of campaign tagging. We may think, oh, I use Google to tag my campaigns externally, and we’ve got this new promotion on site which we’re using a banner ad for. That’s a campaign. Why don’t I tag it with a UTM string?

Step away from the keyboard now. Please.

When you tag internal links with UTM strings, you override the original source/medium. So that visitor who came in through your paid ad and then who clicks on the campaign banner has now been manually tagged. You lose the ability to track that they came through on the ad the moment they click on the tagged internal link. Their source and medium is now your internal campaign, not that paid ad you’re spending gobs of money on and have to justify to your manager. See the problem?

I’ve seen at least three pretty spectacular instances of this in the past year, and a number of smaller instances of it. Annie Cushing also talks about the evils of internal UTM tags and the odd prevalence of it. (Oh, and if you haven’t explored her blog, and the amazing spreadsheets she shares, please do.)

One clothing company I worked with tagged all of their homepage offers with UTM strings, which resulted in the loss of visibility for one-third of their audience: One million visits over the course of a year, and $2.1 million in lost revenue.

Let me say that again. One million visits, and $2.1 million. That couldn’t be attributed to an external source/campaign/spend.

Another client I audited included campaign tagging on nearly every navigational element on their website. It still gives me nightmares.

If you want to see if you have any internal UTM strings, head straight to the Campaigns report in Acquisition in Google Analytics, and look for anything like “home” or “navigation” or any language you may use internally to refer to your website structure.

And if you want to see how users are moving through your website, go to the Flow reports. Or if you really, really, really want to know how many people click on that sidebar link, use event tracking. But please, for the love of all things holy (and to keep us analytics lovers from throwing our computers across the room), stop using UTM tagging on your internal links.

Now breathe and smile

Odds are, your Google Analytics setup is fine. If you are seeing any of these issues, though, you have somewhere to start in diagnosing and addressing the data.

We’ve looked at six of the most common points of friction I’ve encountered with Google Analytics and how to start investigating them: self-referrals, bounce rate, iframes, traffic jumps, cross domain tracking and internal campaign tagging.

What common data integrity issues have you encountered with Google Analytics? What are your favorite tools to investigate?

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