Tuesday 8 November 2016

5 Tips to Get Off the Content Marketing Struggle Bus & Create Content Your Audience Will Love

Posted by ronell-smith

(Original image source)

The young man at the back of the ballroom in the Santa Monica, Calif., Loews hotel has a question he's been burning to ask, having held it for more than an hour as I delivered a presentation on why content marketing is invaluable for search.

When the time comes for Q&A, he nearly leaps out of his chair before announcing that he's asking a question for pretty much the entire room.

"How do I know what content I should create?" he asks. "I work at a small company. We have a team of content people, but we're typically told what to write without having any idea if it's what people want to read from us."

When asked what the results of their two blog posts per week was, his answer told a tale I hear I often: "No one reads it. We don't know if that's because of the message or because [it's the] wrong audience for the content we're sharing."

In fishing and hunting circles circles, there's a saying that rings true today, tomorrow, and everyday: "If you want to land trophy animals, you have to hunt in places where trophy animals reside."

Content marketing is not much different.

If you want to ensure that the right audience consumes the content you design, create and share, you have to "hunt" where they are. But to do so successfully, you must first know what they desire in the way of bait (content).

For those of us who've been involved in content marketing for a while now, this all sounds like fairly simplistic, 101-level stuff. But consider this: While we as marketers and technologists have access to sundry tools and platforms that help us discern all sorts of information, most small and mid-size business owners — and the folks who work at small and mid-size businesses — often lack the resources for most of the tools that could help flatten the learning curve for "What content should I create?"

If you spend any time fishing around online, you know very well that the problem isn't going away soon.

Image courtesy of Content Marketing Institute and Marketing Profs

For small and mid-size business looking to tackle this challenge, I detail a few tips below that I frequently share during presentations and that seem to work well for clients and prospects alike.

#1—Find your audience

First, let's get something straight: When it comes to creating content worth sharing and hopefully linking to, the goal is, now and forevermore, to deliver something the audience will love. Even if the topic is boring, your job is to deliver best-in-class content that's uniquely valuable.

Instead of guessing what content you should create for your audience (or would-be audience), take the time to find out where they hang out, both online and offline. Maybe it's Facebook groups, Twitter, forums, discussion groups, or Google Plus (Yes! Google Plus!).

Whether your brand provides HVAC services, computer repair, or custom email templates, there's a community of folks sharing information about it. And these folks, especially the ones in vibrant communities, can help you create amazing content.

As an example, the owner of a small automobile repair business might spend some time reading the most popular blogs in the category, while paying close attention to the information being shared, the top names sharing it, and common complaints, issues, or needs that commonly arise. The key here is to see who the major commenters, sharers, and influencers are, which can easily be gleaned after careful review of the blog comments over time.

From there, she could "follow" those influencers to popular forums and discussion boards, in addition to Facebook groups, Google Communities, and wherever else they congregate and converse.

The keys with regard to this audience research is to find out the following:

  • Where they are
  • What they share
  • What unmet needs they might have

#2—Talk to them

Once you know where and who they are, start interacting with your audience. Maybe it's simply sharing their content on social media while including their "@" alias or answering a question in a group or forum. But over time, they'll come to know and recognize you and are likely to return the favor.

A word of warning is in order: Take off your sales-y hat. This is the time for sincere interaction and engagement, not hawking your wares.

Once you have a rapport with some of the members and/or influencers, don't be shy about asking if you can email them a quick question or two. If they open that door, keep it open with a short, simple note.

With emails of this sort, keep three things in mind:

  • Be brief
  • Be bold
  • Be gone

Respect their time — and the fact that you don't have enough currency for much of an ask — by keeping the message short and to the point, while leaving the door open to future communication.

#3—Discern the job to be done

We've all heard the saying: "People don't know what they want until they've seen it."

Whether or not you like the bromide, it certainly rings true in the business world.

Too often a product or service that's supposedly the perfect remedy for some such ailment falls flat, even after focus groups, usability testing, surveys, and customer interviews.

The key is to focus less on what they say and more on what they're attempting to accomplish.

This is where the Jobs To Be Done theory comes in very handy.

Based primarily on the research of Harvard Business School professor Clayton Christensen, Jobs To Be Done (JTBD) is a framework for helping businesses view customers motivations. In a nutshell, it helps us understand what job (why) a customers hires (reads, buys, uses, etc.) our product or service.

Christensen writes...

"Customers rarely make buying decisions around what the 'average' customer in their category may do — but they often buy things because they find themselves with a problem they would like to solve. With an understanding of the 'job' for which customers find themselves 'hiring' a product or service, companies can more accurately develop and market products well-tailored to what customers are already trying to do."

Christensen's latest book provides a thorough picture of the "Jobs To Be Done" theory

One of the best illustrations of the JTBD theory at work is the old saw we hear often in marketing circles: Customers don't buy a quarter-inch drill bit; they buy a quarter-inch hole.

This is important because we must clearly understand what customers are hoping to accomplish before we create content.

For the auto repair company preparing to create a guide for an expensive repair, it would be helpful to learn what workarounds currently exist, who are the people experiencing the problem (i.e., DIYers, Average Joes, technicians, etc.), how much the repair typically costs, and, most important, what the fix allows them to do.

For example, by talking to some of the folks in discussion groups, the business owner might learn that the problem is most common for off-roaders who don't feel comfortable making the expensive repair themselves. Therefore, many of them simply curtail the frequent use of their vehicles off-road.

Armed with this information, she would see that the JTBD is not merely the repair itself, but the ability to get away from work and into the woods on the weekend with their vehicles.

An ideal piece of content would then include the following elements:

  • Prevention tips for averting the damage that would cause the repair
  • A how-to video tutorial of the repair
  • Locations specializing in the repair (hopefully her business is on the list with the most and best reviews)

A piece of content covering the elements above, that contains amazing graphics of folks kicking up dirt off-road with their vehicles, along with interviews of some of those folks as well, should be a winner.

#4—Promote, promote, promote

Now that you've created a winning piece of content, it's time to reach back out the influencer(s) for their help in promoting the content.

First, though, ask if what you've created hits the threshold of incredibly useful and worth sharing. If you get a yes for both, you're in.

The next step is to find out who the additional influencers are who can help you promote and amplify the content.

One simple but effective way to accomplish this is to use BuzzSumo to discern prominent shares of your amplifiers' content. (You'll need to sign up for a free subscription, at least, but the tool is one of the best on the market.)

After you click "View Shares," you'll be taken to a page that list the folks who've re-shared the amplifier's content. You're specifically looking for folks who've not only shared their content but who (a) commonly share similar content, (b) have a sizable audience that would likely be interested in your content, and (c) might be amenable to sharing your content.


As you continue to cast your net far and wide, a few things to consider include:

  • Don't abuse email. Maintain the relationships by offering to help them in return as/more often than you ask for help yourself.
  • Share content multiple times via social media. Change the title each time content is shared, and look to determine which platforms work best for a given message, content type, etc.
  • Use engagement, interaction, and relationship to inform you of future content pieces. Don't be afraid to ask, "What are some additional ideas you'd be excited to share and link to?"

#5—Review, revise, repeat

The toughest part of content marketing is often understanding that neither success nor failure are final. Even the best content and content promotion efforts can be improved in some way.

What's more, even if your content enjoys otherworldly success, it says nothing about the success or failure of future efforts.

Before you make the commitment to create content, there are two very important elements to adhere to:

1.) Only create content that's in line with your brand's goals. There's lots of good ideas for creating solid content, but many of those ideas won't help your brand. Stick to creating content that in your brand's wheelhouse.

2.) This line of questioning should help you stay on track: "What content can I create that's (a) in line with my core business goals; (b) I'm uniquely qualified to offer; and (c) prospects and customers are hungry for?"

My philosophy of the three Rs:

  • Review: Answer the questions "What went right?", "What can we do better?", and "What did we miss that should be covered in the future?"
  • Review: You'll need to determine the metrics that matter for your brand before creating content, but whatever they are ensure they're easy to track, attainable, and, most important of all, have real meaning and value.
  • Repeat: Successful content marketing efforts occur primarily through repetition. You do something once, learn from it, then improve with the next effort. Remember, the No. 1 reason we have less and less competition each year is many aren't willing to pay the price of doing the little things over and over.

This post is, by no means, an exhaustive plan of what it takes to create effortful content. However, for the vast majority of brands struggling with where to start, it's exactly what the doctor ordered.


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Monday 7 November 2016

How to Use A/B Testing to Build Your Business’s Buyer Personas

As a discerning digital marketer and business owner, you’re on top of the latest trends and tips on how to convert.

You know all about SEO, and CRO, and PPC (that’s a whole lot of acronyms). You’re an active content creator, social media participant, and advocate for your brand.

And you, of course, recognize the power of the buyer persona.

Most successful businesses – from ecommerce to SaaS and all points in between – have at least one or two at the ready. They act as a guide, providing hints and suggestions on the best way to do something – anything – in order to appeal to your customers.

Without them, you’re flying blind. But let’s back up for a moment.

Buyer Personas?

Creating buyer personas is a useful exercise for any business: if you don’t know exactly who you’re going after, how can you possibly expect to find, connect, engage, and convert them?

Personas allow you to zero in on the ideal target in your marketing, your content, your communication, and virtually everything else.

Many companies complete persona cards with photos, descriptions, and identifying characteristics (just as an author might do for each character in the story…the personas represent each “character” in your story). They name the individuals, and refer to them by those names.

user-personas

They define the various types of buyers for your product or service, including their demographics, motivations, interests, beliefs, and emotional responses. Personas are detail-oriented and contain many parts beyond just the obvious (age, gender, location, and so forth).

Personas Just Make Sense

If that all sounds well and good – a cute albeit not terribly valuable activity – you’re not seeing the bigger picture. In the uber-competitive modern business world, buyer personas are a pivotal component.

Think about it: a concrete buyer persona lets you get inside the head of your customers and prospects. You’re no longer making guesses or assumptions about what they might like, want, need, or respond to. You know.

Mark Schaefer of Business Grow says that 3-4 buyer personas typically account for 90% of your sales. Why? Because everything you throw at them is already targeted and exactly what they’ve been looking for. It’s an easier (if not easy) sell.

Buyer personas = good.

Your buyer personas are a fictionalized version of your (very real) ideal buyer(s) based on legitimate data and validated common traits.

The Data Deluge

But just where does this data come from? Take your pick:

  1. Search terms used to find you
  2. Content they view, search for, or download on your site
  3. Heat maps (what is drawing their attention)
  4. Search terms used on your site
  5. Speak to your sales department about customer details
  6. Customer surveys
  7. Customer feedback
  8. Contact database
  9. Market research and segmentation
  10. Social media (Facebook Insights and Twitter Analytics, for example)
  11. Competitor data (Similar Web and Compete can provide details)
  12. Analytics (language, location, device, behavior, interests, etc)

These represent the usual suspects. Unfortunately, some of them – most notably surveys and questions – can be misleading. People aren’t always 100% honest with their answers, either intentionally or accidentally.

A more atypical method – and one that can provide some seriously targeted data on your buyers and visitors – is A/B testing. It uses natural customer behavior and response to clarify and strengthen your personas.

(For more information and advice on buyer personas, check out The Complete Guide to Building Your Personal Brand, 20 Questions to Ask When Creating Buyer Personas, or How to Create a Buyer Persona Map)

A/B Testing?

You’ve no doubt heard about A/B testing already. It compares audience behavior and reaction to two samples – a control and a variation – to create powerful landing pages, effective email messages, and website design that resonates with an audience.

It allows for data-supported decisions that incrementally improve the performance of something. A tweak here, a different headline there, all moving towards better conversions and (ultimately) more revenue.

If you’re not certain what it’s all about, a good beginner’s guide can bring you quickly up to speed (it’s not hard to grasp the basics). A master’s guide can dig a little deeper and explain in greater detail.

Either way, make sure you’re including it at some level in your marketing and communication efforts.

Testing is Easier Than You Think

A well-crafted testing plan is essential to modern marketers. What’s not working can always be fixed. What’s good can always be better.

It allows you to gradually find the optimal design/wording/structure for your particular target. It’s not a quick fix. It’s not a shortcut. It’s just smart, savvy behavior for the digital 21st century.

discover-wikipedia-click-rate
(Image Source)

A/B testing = good.

Testing can find big improvements from small changes. SumoMe, for example, A/B tested a video version versus the text control of their landing page for an email list building guide and discovered a 55% conversion lift (from 8.86% to 13.7%).

But A/B testing goes beyond just trying two different versions. It can do so much more than just determining whether your visitors prefer a red or blue CTA button. It’s more akin to a science experiment, with the procedure to match. It involves proper prep and planning.

A strong test adheres to the following steps:

  1. Data collection (how’s the control performing?)
  2. Goal (what are you trying to improve: conversions, sign-ups, sales, bounce rate, CTR, open rate, social sharing, dwell time?)
  3. Hypothesis (what might be influencing the performance?)
  4. Brainstorm variations to test (only test one at a time)
  5. Run the test
  6. Analyze the results

There are A/B test mistakes to avoid, and common pitfalls can actually hurt your conversions and your website as a whole. A checklist to remind you of the dos and don’ts is a handy resource.

Tools for Testing

The services available for testing run the gamut from free and barebones to (much) more expensive and feature-rich. As with everything, you get what you pay for. If you have the budget and know-how, a robust testing tool is definitely worth the investment.

content-experiment-add-urls
Google Content Experiments allow for simple split tests.

Some of the best and most popular A/B tools include:

Using A/B Testing for Your Buyer Personas

Are you starting to appreciate the connection between these two? A/B testing can be used to steadily improve your existing buyer personas. It can fill in the blanks or areas of questionable validity.

It provides verifiable hard data on what is resonating with your visitors and customers based on their actual behavior. And if you know that, you understand them on a deeper level than you’ll likely experience by asking them.

The Proof is in the Pudding

Some of what you include in your buyer personas is subject to interpretation. You have hard data that suggests your buyers don’t like X, or believe Y.

The advantage of A/B testing your buyer personas is that you can either confirm or refute that in no uncertain terms.

But how?

Testing Your Ideas

Let’s pretend you own a security company that sells alarms and other personal security apparatuses.

Let’s further pretend that all the existing evidence strongly suggests your buyers are motivated by fear. Fear of what could happen to them and their family without the proper security measures in place.

That sort of attitude – if true – should directly influence your choices. You would speak to (but hopefully not manipulate) that fear factor.

But if you’re wrong about it, your marketing would meet a very cool reception, and that translates to poor conversions and revenue for you. You could be alienating your buyers with negative and fear-associated vocabulary, images, and statistics.

Enter A/B testing.

A simple test comparing one page that appeals to fear and another that appeals to, say, the proactive peace of mind that comes with your security package (with no mention of the bad stuff that might happen without it) would confirm which resonates more with your buyers. Which one had the greater sign-ups for a no obligation security evaluation at their home? That’s your true buyer persona.

Whatever your assumptions and beliefs about them, a simple A/B test can bring it all into focus.

  • Is their chief buying motivation A or B?
  • Are they more concerned about X or Y?
  • Do they respond to negative or positive language?
  • Is the main selling point for them this or that?
  • Are they pulled into action by discounts, coupons, sales, or BOGO offers?
  • Do they prefer step-by-step how to guides, or summary checklists?
  • Is feature A or feature B the biggest draw?
  • Do they react most to benefit A or benefit B?
  • And on and on and on…

Get your feet wet with the free and basic Google Content Experiments feature in Google Analytics to test one against another. Just be sure to frame each one as a testable hypothesis (“I believe my buyers are motivated more by the money they can save than the ease of use”).

The Eisenberg Customer Modalities

Introduced by Bryan and Jeffrey Eisenberg in their book Waiting for Your Cat to Bark?, the customer modalities classifies each buyer as one of four different types:

  1. Competitive
  2. Methodical
  3. Spontaneous
  4. Humanistic

Each is characterized by the speed of their decisions, and whether they’re driven by emotion or logic. It’s just one more example of how you could organize your customers and frame your marketing, content, and communication for them.

buying-modalities
(Image Source)

Are your buyers mainly methodical – motivated by logic, thoroughness, details, and the slow approach – or spontaneous – making snap decisions based on their gut and the excitement of the purchase? Both would demand a very different marketing approach.

Not sure? Test, test, and test your working hypothesis. They each want something different from your website and content.

  • Competitive buyers want to know what makes you the best, and what your product/service does for them.
  • Methodical buyers need to know exactly how your product solves their problem or addresses their need.
  • Spontaneous buyers are concerned with why your product is the right fit for them at this moment in time.
  • Humanistic buyers expect to see your product being used in the real world. They want to see case studies, pictures, testimonials, and examples. They demand a little bit of personality.

The humble A/B test can remove all lingering doubt. Slot your buyers into their personas with full confidence that you know what they want and what makes them tick.

And once you know that, you can craft everything for them specifically. Your personas are tweaked, refined, and polished one hypothesis at a time.

It won’t happen overnight, but you’ll eventually end up with personas that are accurate and battle-tested. You’ll be able to climb inside their head for anything and everything. You’ll slowly but steadily know what you need to know in order to connect, engage, and convert like a boss.

Buyer personas and A/B tests are good. A/B testing your buyer personas? That’s better. That’s marketing for the digital age.

Have you experimented with A/B testing your personas? What insights did it reveal? Leave your comments below.

About the Author: Aaron Agius is an experienced search, content and social marketer. He has worked with some of the world’s largest and most recognized brands to build their online presence. See more from Aaron at Louder Online, their Blog, Facebook, Twitter, Google+ and LinkedIn.



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7 Conversion-Sabotaging Words to Avoid at All Costs

Words matter. People may not read everything, but they do scan. And they process information subconsciously at lightning speeds to determine if they’ll click or bounce within a few fractions of a second.

So while some words, like “Submit” on your button, may seem innocent enough... they could be costing you dearly, turning away visitors in droves.

Conversion Killing Words

Here’s why, along with a few other conversion-sabotaging words you need to replace in your emails, ads, and landing pages ASAP.

Conversion Killer #1: “Submit”

“Submit” is a derivation of submission. And therein lies the problem.

We ain’t talkin’ kinky 50 Shades of Grey stuff, but a negative connotation with yielding to someone or something superior. People, as a general rule, don’t like yielding. (Remember that whole Revolution bit?)

Especially when even the slightest suspicion of required payment might be involved.

This was proven definitively years and years ago by Dan Zarella and HubSpot. They took a look at the conversion rates of over 40,000 customer landing pages and quickly noticed a huge discrepancy...

Conversion Killing

When CTA buttons included the word “submit,” conversion rates tended to drop immediately by a few percentage points.

To further validate, they queued up another test that would rotate CTA text randomly between a few different options. Here’s what they found:

Conversion Killers

Unsurprisingly, at this point, the word “submit” performed worse than a few other common CTA text options like “click here” or “go.”

The hypothesized reasoning is that these other variations feel much less committal and imply a lower investment of time and effort.

The negative connotation is one problem. But another is the vague, generic nature of the word.

In general, the best CTA’s are as specific and actionable as possible. That means you start with a verb, or action oriented word, that describes what a person’s going to get (e.g. “Click Here to Get My Report”).

Here’s why generic quickly devolves into meaningless.

Conversion Killer #2: “Synergy”

What’s the fastest way to learn terrible copywriting?

Get an MBA.

Because in just a few short weeks, you’ll find yourself spewing out “synergy,” “competencies,” and a host of other clichéd, meaningless words that have old professors nodding their heads in  approval. (This, coming from someone who has their MBA.)

As evidence, go visit almost any B2B website outside of marketing and advertising.

Your eyes will glaze over, your face will contort, and a sudden bout of narcolepsy might hit at any moment.

Many times, clients and bosses don’t notice anything wrong at first either. They’ve been drinking the Kool-Aid too long, like your crazy cat-lady aunt who doesn’t notice that her house reeks of cat nip, hair balls, and litter boxes.

Thankfully, the kind people from Unbounce came out with the amazing Dejargonator to quickly and humorously diagnose these issues for the people we answer to.

Sondra Example

The problem with “best in class” and all other common business jargon (besides the fact that it also appears on every competitor’s website) is that customers can smell the BS from a mile away.

The best explanation comes from Peep at ConversionXL who points to cognitive fluency and “the heuristic that Easy = True”.

Sounds stupid, right? But Peep points to research that shows easily pronounceable company names perform better in stock markets (hardly the barometer of rational decision making), and simple fonts are more believable.

In other words, as the Boston Globe points out, “it turns out that people prefer things that are easy to think about to those that are hard.”

But wait, there’s more!

The first problem is that the average person’s reading comprehension ain’t that good. So anything above a 7th or 8th grade reading level will be too difficult and complex (which is like, really low dude).

The second, is that people aren’t focusing or reading online; they’re scanning and multitasking and browsing and tweeting while also (kinda) looking at your page.

The solution in most cases? Cut the BS. Rewrite anything with the faintest resemblance to what you learned in skool school.

Conversion Killer #3: “Spam”

No, not the canned mystery meat kind. The graymail kind that your customers are already overwhelmed with.

They’re being bombarded with hundreds of emails each day. Trillions are being sent by marketers each year.

So you’d think, logically speaking, that assuring visitors you won’t spam them would help conversions. Right?

Unfortunately that’s not the case. “Spam” is a huge stop word – or no no – that causes people to become apprehensive and hesitate.

A test carried out by Michael Aargaard showed the surprising ramifications. He added the seemingly harmless line of “100% privacy – We will never spam you” in between the form fields and submission button.

Typically, these extra credibility indicators surrounding a CTA can help to give conversions a nice little boost. But not in this case.

Messaging Tests

Huh. Strange. You’d think a statement assuring people of their privacy would help. But this time it backfired by over 18%.

So Michael switched it up.

He wanted to reinforce the same message, but alter the wording to change from a negative connotation (i.e. bringing up something like “spam” that people weren’t really considering before) to a positive one.

The winning variation provided a 19.47% lift, landing on: “We guarantee 100% privacy. Your information will not be shared.”

Conversion Messaging

Michael has even repeated this process several times, finding similarly poor results when placing the possibility of “spam” in people’s minds.

Messaging Tests

The lesson?

Avoid words with a negative connotation (as we saw with “submit”) in general, and use additional messaging to reinforce the positive aspects of what someone is about to get.

Conversion Killer #4: “We”

“We” opens a door. It’s like the gateway drug of bad copywriting.

One small hit, and you’re quickly off to dabbling with bigger, badder things.

While it might seem harmless at the time, “we” puts you on a path to jonesing for a fix of “synergy” and “best in class” in no time.

But keep in mind, that as a general rule, people don’t care about you. Instead, they want a “better version of themselves.

This is especially so for all those visiting your site at the top of the funnel, who haven’t realized a need for your product or service yet. They’re Googling solutions for drilling a hole in their wall so they can hang a picture… they’re not looking for a drill (just yet).

Path to Conversion

That means the focus of messaging should be centered around said problem and solution, not a tool, product or service.

Conversion Messaging Example

Joanna Wiebe says it goes back to trust. Or lack thereof.

She points to a quote from Rohit Bhargava on Likeonomics: “The first and most basic reason for distrust is because there are so many companies and people who choose to lie to us either by making misleading claims or simply by hiding the truth.”

Instead of “we”, Joanna recommends:

  1. Begin with “you”… or
  2. Begin with no pronoun at all (like a question or a command / call to action)

Conversion Killer #5: “Your”

The copy on most websites is written in the second person. And that’s a good thing!

Copywriters are taught to use “you” instead of “they” when explaining the benefits derived from the latest product or service.

Take the completely hypothetical example of writing a blog post that discusses which words hurt conversions. To drive your points home for maximum resonance, you would write tips and takeaways to a specific audience by speaking to “you” as much as possible.

But as always, there are exceptions.

When focusing on a CTA or specific conversion event, the “possessive determiner” should switch back to first person.

Another test from Michael Aagaard proves the point. Michael initially thought that “your” in the CTA button copy would work best. It’s commonplace all over the interwebs after all.

But here’s what he found.

YOUR as a conversion killer

Almost a 25% difference, just by switching a single word.

He then repeated this process on an Unbounce landing page, switching “your” free trial with “my” free trial and saw similarly significant results.

Conversion Rate Test

Most landing pages and blog posts should write directly to a single person, using “you” and “your” liberally.

However…

When writing CTA copy, switch to “my” to give people ownership of the benefit they’re about to receive.

Conversion Killer #6: “Free”

You’d think, on the surface, that “free” increases conversions. And it does in most cases.

The last example a few seconds ago used a “free trial” to generate more interest (and clicks).

But as always, there’s exceptions.

The first (albeit tiny) issue is that the word “free” can trip up spam filters in email messaging.

The second, bigger problem though is a curious case of over optimization.

For example, less form fields will typically mean a higher conversion rate. Just by whittling down your landing page form fields from the oppressively long 11 to only four you can boost conversions by 120%.

The problem is that more conversions isn’t always better.

A Totango study showed that 70% of the people who sign up for free trials are useless, with only around ~20% of those actively evaluating the product.

Accidental Signups

Software company Moz found this out years ago, where the most profitable customers didn’t convert on the first or second visit, but only after 8+ visits. “Many, many visits are often correlated with high purchase prices,” Rand Fishkin reported.

So while the word “free” can (and will) increase initial conversions, you should be optimizing for sales and revenue – not vanity metrics like leads or impressive (but hollow) conversion rates.

Robert from Neuromarketing says: “if you are trying to encourage sampling of a product that appeals to a specific audience…a very modest charge will throttle demand but will eliminate most samplers who have no use for the product.”

Conversion Killer #7. “Save Time & Money”

So far we’ve seen that vague, meaningless, overly generic phrases are bad for conversions.

The culmination of them all – the cherry on top and the pièce de résistance – is “save time and money.”

This simple, albeit ever-present phrase is a (non)favorite of Joanna Wiebe’s, who lovingly refers to it as “lazy ass messaging.

Yes, this seemingly harmless phrase raises vitriol in seemingly one of the nicest people around the interwebs. Why?

Because it takes a piece of everything bad from the previous six words and rolls them up into one terrifyingly conversion-repellent Frankenstein.

In other words, it breaks one of the very first rules of copywriting that says you should write to a particular audience. And Joanna shows in the last link that people either value one or the other, not both equally.

The easiest solution isn’t actually a copywriting trick at all, but a strategy one. Employ inbound funnel segmentation to try your hardest at getting only one audience to a dedicated page (by linking your content to a specific acquisition channel or segment).

Conversion Flow

But what if there’s no way around it? What if you HAVE to cater to multiple audiences – like on your homepage?

Then roll up your sleeves and dig a little deeper into who you’re speaking to, and what they value most.

Again, Joanna gets all the credit with her flashy Venn diagram skillz:

Venn Diagram

The key is to ferret out those few ingredients that make your offering awesome & unique, which both audiences value.

You want the stuff that overlaps, which will help you create a specific value proposition that reinforces your primary aim (of driving conversions), while avoiding the same generic crap showing up on each of your competitor’s websites.

In Conclusion…

Not every successful landing page is a long-form squeeze page with thousands upon thousands of words. Many, if not most, are just a few simple lines with a killer headline and strong CTA.

In these cases, making each and every word work its hardest is imperative. You literally and figuratively can’t afford words and phrases that don’t pull their weight.

Online, that includes “stop words” and words which turn the focus away from your audience and selfishly onto yourself.

Thankfully, many people have already done the research and testing to show us the light. We just need to be aware of it and then follow it.



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Social Media For Customer Acquisition

  What do you want to get out of your social media marketing? For most companies, the benefits they expect to see are: increasing exposure (89%) developing loyal fans (68%) providing marketplace insights (66%). These are all real benefits of […]

Post from: Search Engine People SEO Blog

Social Media For Customer Acquisition

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Written by Teena Thach, blog.socedo.com

The post Social Media For Customer Acquisition appeared first on Search Engine People Blog.



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Google's War on Data and the Clickstream Revolution

Posted by rjonesx.

Existential threats to SEO

Rand called "Not Provided" the First Existential Threat to SEO in 2013. While 100% Not Provided was certainly one of the largest and most egregious data grabs by Google, it was part of a long and continued history of Google pulling data sources which benefit search engine optimizers.

A brief history

  1. Nov 2010 - Deprecate search API
  2. Oct 2011 - Google begins Not Provided
  3. Feb 2012 - Sampled data in Google Analytics
  4. Aug 2013 - Google Keyword Tool closed
  5. Sep 2013 - Not Provided ramped up
  6. Feb 2015 - Link Operator degraded
  7. Jan 2016 - Search API killed
  8. Mar 2016 - Google ends Toolbar PageRank
  9. Aug 2016 - Keyword Planner restricted to paid

I don't intend to say that Google made any of these decisions specifically to harm SEOs, but that the decisions did harm SEO is inarguable. In our industry, like many others, data is power. Without access to SERP, keyword, and analytics data, our and our industry's collective judgement is clouded. A recent survey of SEOs showed that data is more important to them than ever, despite these data retractions.

So how do we proceed in a world in which we need data more and more but our access is steadily restricted by the powers that be? Perhaps we have an answer — clickstream data.

What is clickstream data?

First, let's give a quick definition of clickstream data to those who are not yet familiar. The most straightforward definition I've seen is:

"The process of collecting, analyzing, and reporting aggregate data about which pages users visit in what order."
– (TechTarget: What is Clickstream Analysis)

If you've spent any time analyzing your funnel or looking at how users move through your site, you have utilized clickstream data in performing clickstream analysis. However, traditionally, clickstream data is restricted to sites you own. But what if we could see how users behave across the web — not just our own sites? What keywords they search, what pages they visit, and how they navigate the web? With that data, we could begin to fill in the data gaps previously lost to Google.

I think it's worthwhile to point out the concerns presented by clickstream data. As a webmaster, you must be thoughtful about what you do with user data. You have access to the referrers which brought visitors to your site, you know what they click on, you might even have usernames, emails, and passwords. In the same manner, being vigilant about anonymizing data and excluding personally identifiable information (PII) has to be the first priority in using clickstream data. Moz and our partners remain vigilant, including our latest partner Jumpshot, whose algorithms for removing PII are industry-leading.

What can we do?

So let's have some fun, shall we? Let's start to talk about all the great things we can do with clickstream data. Below, I'll outline a half dozen or so insights we've gleaned from clickstream data that are relevant to search marketers and Internet users in general. First, let me give credit where credit is due — the data for these insights have come from 2 excellent partners: Clickstre.am and Jumpshot.

Popping the filter bubble

It isn't very often that the interests of search engine marketers and social scientists intersect, so this is a rare opportunity for me to blend my career with my formal education. Search engines like Google personalize results in a number of ways. We regularly see personalization of search results in the form of geolocation, previous sites visited, or even SERP features tailored to things Google knows about us as users. One question posed by social scientists is whether this personalization creates a filter bubble, where users only see information relative to their interests. Of particular concern is whether this filter bubble could influence important informational queries like those related to political candidates. Does Google show uniform results for political candidate queries, or do they show you the results you want to see based on their personalization models?

Well, with clickstream data we can answer this question quite clearly by looking at the number of unique URLs which users click on from a SERP. Personalized keywords should result in a higher number of unique URLs clicked, as users see different URLs from one another. We randomly selected 50 search-click pairs (a searched keyword and the URL the user clicked on) for the following keywords to get an idea of how personalized the SERPs were.

  1. Dropbox - 10
  2. Google - 12
  3. Donald Trump - 14
  4. Hillary Clinton - 14
  5. Facebook - 15
  6. Note 7 - 16
  7. Heart Disease - 16
  8. Banks Near Me - 107
  9. Landscaping Company - 260

As you can see, a highly personalized keyword like "banks near me" or "landscaping company" — which are dependent upon location —receive a large number of unique URLs clicked. This is to be expected and validates the model to a degree. However, candidate names like "Hillary Clinton" and "Donald Trump" are personalized no more than major brands like Dropbox, Google, or Facebook and products like the Samsung Note 7. It appears that the hypothetical filter bubble has burst — most users see the exact same results as one another.

Biased search behavior

But is that all we need to ask? Can we learn more about the political behavior of users online? It turns out we can. One of the truly interesting features of clickstream data is the ability to do "also-searched" analysis. We can look at clickstream data and determine whether or not a person or group of people are more likely to search for one phrase or another after first searching for a particular phrase. We dove into the clickstream data to see if there were any material differences between subsequent searches of individuals who looked for "donald trump" and "hillary clinton," respectively. While the majority of the searches were quite the same, as you would expect, searching for things like "youtube" or "facebook," there were some very interesting differences.

For example, individuals who searched for "donald trump" were 2x as likely to then go on to search for "Omar Mateen" than individuals who previously searched for "hillary clinton." Omar Mateen was the Orlando shooter. Individuals who searched for "Hillary Clinton" were about 60% more likely to search for "Philando Castile," the victim of a police shooting and, in particular, one of the more egregious examples. So it seems — at least from this early evidence —that people carry their biases to the search engines, rather than search engines pushing bias back upon them.

Getting a real click-through rate model

Search marketers have been looking at click-through rate (CTR) models since the beginning of our craft, trying to predict traffic and earnings under a set of assumptions that have all but disappeared since the days of 10 blue links. With the advent of SERP features like answer boxes, the knowledge graph, and Twitter feeds in the search results, it has been hard to garner exactly what level of traffic we would derive from any given position.

With clickstream data, we have a path to uncovering those mysteries. For starters, the click-through rate curve is dead. Sorry folks, but it has been for quite some time and any allegiance to it should be categorized as willful neglect.

We have to begin building somewhere, so at Moz we start with opportunity metrics (like the one introduced by Dr. Pete, which can be found in Keyword Explorer) which depreciate the potential search traffic available from a keyword based on the presence of SERP features. We can use clickstream data to learn the non-linear relationship between SERP features and CTR, which is often counter-intuitive.

Let's take a quick quiz.

Which SERP has the highest organic click-through rate?

  • A SERP with just news
  • A SERP with just top ads
  • A SERP with sitelinks, knowledge panel, tweets, and ads at the top

Strangely enough, it's the last that has the highest click-through rate to organic. Why? It turns out that the only queries that get that bizarre combination of SERP features are for important brands, like Louis Vuitton or BMW. Subsequently, nearly 100% of the click traffic goes to the #1 sitelink, which is the brand website.

Perhaps even more strangely, pages with top ads deliver more organic clicks than those with just news. News tends to entice users more than advertisements.

It would be nearly impossible to come to these revelations without clickstream data, but now we can use the data to find the unique relationships between SERP features and click-through rates.

In production: Better volume data

Perhaps Moz's most well-known usage of clickstream data is our volume metric in Keyword Explorer. There has been a long history of search marketers using Google's keyword volume as a metric to predict traffic and prioritize keywords. While (not provided) hit SEOs the hardest, it seems like the recent Google Keyword Planner ranges are taking a toll as well.

So how do we address this with clickstream data? Unfortunately, it isn't as cut-and-dry as simply replacing Google's data with Jumpshot or a 3rd party provider. There are several steps involved — here are just a few.

  1. Data ingestion and clean-up
  2. Bias removal
  3. Modeling against Google Volume
  4. Disambiguation corrections

I can't stress how much attention to detail needs to go into these steps in order to make sure you're adding value with clickstream data rather than simply muddling things further. But I can say with confidence that our complex solutions have had a profoundly positive impact on the data we provide. Let me give you some disambiguation examples that were recently uncovered by our model.

Keyword Google Value Disambiguated
cars part 135000 2900
chopsuey 74000 4400
treatment for mononucleosis 4400 720
lorton va 9900 8100
definition of customer service 2400 1300
marion county detention center 5400 4400
smoke again lyrics 1900 880
should i get a phd 480 320
oakley crosshair 2.0 1000 480
barter 6 download 4400 590
how to build a shoe rack 880 720

Look at the huge discrepancies here for the keyword "cars part." Most people search for "car parts" or "car part," but Google groups together the keyword "cars part," giving it a ridiculously high search value. We were able to use clickstream data to dramatically lower that number.

The same is true for "chopsuey." Most people search for it, correctly, as two separate words: "chop suey."

These corrections to Google search volume data are essential to make accurate, informed decisions about what content to create and how to properly optimize it. Without clickstream data on our side, we would be grossly misled, especially in aggregate data.

How much does this actually impact Google search volume? Roughly 25% of all keywords we process from Google data are corrected by clickstream data. This means tens of millions of keywords monthly.

Moving forward

The big question for marketers is now not only how do we respond to losses in data, but how do we prepare for future losses? A quick survey of SEOs revealed some of their future concerns...

Luckily, a blended model of crawled and clickstream data allows Moz to uniquely manage these types of losses. SERP and suggest data are all available through clickstream sources, piggybacking on real results rather than performing automated ones. Link data is already available through third-party indexes like MozScape, but can be improved even further with clickstream data that reveals the true popularity of individual links. All that being said, the future looks bright for this new blended data model, and we look forward to delivering upon its promises in the months and years to come.

And finally, a question for you...

As Moz continues to improve upon Keyword Explorer, we want to make that data more easily accessible to you. We hope to soon offer you an API, which will bring this data directly to you and your apps so that you can do more research than ever before. But we need your help in tailoring this API to your needs. If you have a moment, please answer this survey so we can piece together something that provides just what you need.


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