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.

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Reblogged 3 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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Are Banner Ads Worth It? and Mobile Marketing – SEO Lunch

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Reblogged 4 years ago from www.youtube.com