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Lessons from 1,000 Voice Searches (on Google Home)

Posted by Dr-Pete

It’s hardly surprising that Google Home is an extension of Google’s search ecosystem. Home is attempting to answer more and more questions, drawing those answers from search results. There’s an increasingly clear connection between Featured Snippets in search and voice answers.

For example, let’s say a hedgehog wanders into your house and you naturally find yourself wondering what you should feed it. You might search for “What do hedgehogs eat?” On desktop, you’d see a Featured Snippet like the following:

Given that you’re trying to wrangle a strange hedgehog, searching on your desktop may not be practical, so you ask Google Home: “Ok, Google — What do hedgehogs eat?” and hear the following:

Google Home leads with the attribution to Ark Wildlife (since a voice answer has no direct link), and then repeats a short version of the desktop snippet. The connection between the two answers is, I hope, obvious.

Anecdotally, this is a pattern we see often on Google Home, but how consistent is it? How does Google handle Featured Snippets in other formats (including lists and tables)? Are some questions answered wildly differently by Google Home compared to desktop search?

Methodology (10K –> 1K)

To find out the answer to these questions, I needed to start with a fairly large set of searches that were likely to generate answers in the form of Featured Snippets. My colleague Russ Jones pulled a set of roughly 10,000 popular searches beginning with question words (Who, What, Where, Why, When, How) from a third-party “clickstream” source (actual web activity from a very large set of users).

I ran those searches on desktop (automagically, of course) and found that just over half (53%) had Featured Snippets. As we’ve seen in other data sets, Google is clearly getting serious about direct answers.

The overall set of popular questions was dominated by “What?” and “How?” phrases:

Given the prevalence of “How to?” questions, I’ve broken them out in this chart. The purple bars show how many of these searches generated Featured Snippets. “How to?” questions were very likely to display a Featured Snippet, with other types of questions displaying them less than half of the time.

Of the roughly 5,300 searches in the full data set that had Featured Snippets, those snippets broke down into four types, as follows:

Text snippets — paragraph-based answers like the one at the top of this post — accounted for roughly two-thirds of all of the Featured Snippets in our original data set. List snippets accounted for just under one-third — these are bullet lists, like this one for “How to draw a dinosaur?”:

Step 1 – Draw a small oval. Step 5 – Dinosaur! It’s as simple as that.

Table snippets made up less than 2% of the Featured Snippets in our starting data set. These snippets contain a small amount of tabular data, like this search for “What generation am I?”:

If you throw your money recklessly at your avocado toast habit instead of buying a house, you’re probably a millennial (sorry, content marketing joke).

Finally, video snippets are a special class of Featured Snippet with a large video thumbnail and direct link (dominated by YouTube). Here’s one for “Who is the spiciest memelord?”:

I’m honestly not sure what commentary I can add to that result. Since there’s currently no way for a video to appear on Google Home, we excluded video snippets from the rest of the study.

Google has also been testing some hybrid Featured Snippets. In some cases, for example, they attempt to extract a specific answer from the text, such as this answer for “When was 1984 written?” (Hint: the answer is not 1984):

For the purposes of this study, we treated these hybrids as text snippets. Given the concise answer at the top, these hybrids are well-suited to voice results.

From the 5.3K questions with snippets, I selected 1,000, excluding video but purposely including a disproportionate number of list and table types (to better see if and how those translated into voice).

Why only 1,000? Because, unlike desktop searches, there’s no easy way to do this. Over the course of a couple of days, I had to run all of these voice searches manually on Google Home. It’s possible that I went temporarily insane. At one point, I saw a spider on my Google Home staring back at me. Fearing that I was hallucinating, I took a picture and posted it on Twitter:

I was assured that the spider was, in point of fact, not a figment of my imagination. I’m still not sure about the half-hour when the spider sang me selections from the Hamilton soundtrack.

From snippets to voice answers

So, how many of the 1,000 searches yielded voice answers? The short answer is: 71%. Diving deeper, it turns out that this percentage is strongly dependent on the type of snippet:

Text snippets in our 1K data set yielded voice answers 87% of the time. List snippets dropped to just under half, and table snippets only generated voice answers one-third of the time. This makes sense — long lists and most tables are simply harder to translate into voice.

In the case of tables, some of these results were from different sites or in a different format. In other words, the search generated a Featured Snippet and a voice answer, but the voice answer was of a different type (text, for example) and attributed to a different source. Only 20% of Featured Snippets in table format generated voice answers that came from the same source.

From a search marketing standpoint, text snippets are going to generate a voice answer almost 9 out of 10 times. Optimizing for text/paragraph snippets is a good starting point for ranking on voice search and should generally be a win-win across devices.

Special: Knowledge Graph

What about the Featured Snippets that didn’t generate voice answers? It turns out there was quite a variety of exceptions in play. One exception was answers that came directly from the Knowledge Graph on Google Home, without any attribution. For example, the question “What is the nuclear option?” produces this Featured Snippet (for me, at least) on desktop:

On Google Home, though, I get an unattributed answer that seems to come from the Knowledge Graph:

It’s unclear why Google has chosen one over the other for voice in this particular case. Across the 1,000 keyword set, there were about 30 keywords where something similar happened.

Special: Device help

Google Home seems to translate some searches as device-specific help. For example, “How to change your name?” returns desktop results about legally changing your name as an individual. On Google Home, I get the following:

Other searches from our list that triggered device help include:

  • How to contact Google?
  • How to send a fax online?
  • What are you up to?

Special: Easter eggs

Google Home has some Easter eggs that seem unique to voice search. One of my personal favorites — the question “What is best in life?” — generates the following:

Here’s a list of the other Easter eggs in our 1,000 phrase data set:

  • How many letters are in the alphabet?
  • What are your strengths?
  • What came first, the chicken or the egg?
  • What generation am I?
  • What is the meaning of life?
  • What would you do for a Klondike bar?
  • Where do babies come from?
  • Where in the world is Carmen Sandiego?
  • Where is my iPhone?
  • Where is Waldo?
  • Who is your daddy?

Easter eggs are a bit less predictable than device help. Generally speaking, though, both are rare and shouldn’t dissuade you from trying to rank for Featured Snippets and voice answers.

Special: General confusion

In a handful of cases, Google simply didn’t understand the question or couldn’t answer the exact question. For example, I could not get Google to understand the question “What does MAGA mean?” The answer I got back (maybe it’s my Midwestern accent?) was:

On second thought, maybe that’s not entirely inaccurate.

One interesting case is when Google decides to answer a slightly different question. On desktop, if you search for “How to become a vampire?”, you might see the following Featured Snippet:

On Google Home, I’m asked to clarify my intent:

I suspect both of these cases will improve over time, as voice recognition continues to advance and Google becomes better at surfacing answers.

Special: Recipe results

Back in April, Google launched a new set of recipe functions across search and Google Home. Many “How to?” questions related to cooking now generate something like this (the question I asked was “How to bake chicken breast?”):

You can opt to find a recipe on Google search and send it to your Google Home, or Google can simply pick a recipe for you. Either way, it will guide you through step-by-step instructions.

Special: Health conditions

A half-dozen or so health questions, from general questions to diseases, generated results like the following. This one is for the question “Why do we sneeze?”:

This has no clear connection to desktop search results, and I’m not clear if it’s a signal for future, expanded functionality. It seems to be of limited use right now.

Special: WikiHow

A handful of “How to?” questions triggered an unusual response. For example, if I ask Google Home “How to write a press release?” I get back:

If I say “yes,” I’m taken directly to a wikiHow assistant that uses a different voice. The wikiHow answers are much longer than text-based Featured Snippets.

How should we adapt?

Voice search and voice appliances (including Google Assistant and Google Home) are evolving quickly right now, and it’s hard to know where any of this will be in the next couple of years. From a search marketing standpoint, I don’t think it makes sense to drop everything to invest in voice, but I do think we’ve reached a point where some forward momentum is prudent.

First, I highly recommend simply being aware of how your industry and your major keywords/questions “appear” on Google Home (or Google Assistant on your mobile device). Look at the recipe situation above — for 99%+ of the people reading this article, that’s a novelty. If you’re in the recipe space, though, it’s game-changing, and it’s likely a sign of more to come.

Second, I feel strongly that Featured Snippets are a win-win right now. Almost 90% of the text-only Featured Snippets we tracked yielded a voice answer. These snippets are also prominent on desktop and mobile searches. Featured Snippets are a great starting point for understanding the voice ecosystem and establishing your foothold.


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Location Data + Reviews: The 1–2 Punch of Local SEO

Posted by MiriamEllis

localseocombo.jpg

My father, a hale and hearty gentleman in his seventies, simply won’t dine at a new restaurant these days before he checks its reviews on his cell phone. Your 23-year-old nephew, who travels around the country for his job as a college sports writer, has devoted 233 hours of his young life to writing 932 reviews on Yelp (932 reviews x @15 minutes per review).

Yes, our local SEO industry knows that my dad and your nephew need to find accurate NAP on local business listings to actually find and get to business locations. This is what makes our historic focus on citation data management totally reasonable. But reviews are what help a business to be chosen. Phil Rozek kindly highlighted a comment of mine as being among the most insightful on the Local Search Ranking Factors 2017 survey:

“If I could drive home one topic in 2017 for local business owners, it would surround everything relating to reviews. This would include rating, consumer sentiment, velocity, authenticity, and owner responses, both on third-party platforms and native website reviews/testimonials pages. The influence of reviews is enormous; I have come to see them as almost as powerful as the NAP on your citations. NAP must be accurate for rankings and consumer direction, but reviews sell.”

I’d like to take a few moments here to dive deeper into that list of review elements. It’s my hope that this post is one you can take to your clients, team or boss to urge creative and financial allocations for a review management campaign that reflects the central importance of this special form of marketing.

Ratings: At-a-glance consumer impressions and impactful rankings filter

Whether they’re stars or circles, the majority of rating icons send a 1–5 point signal to consumers that can be instantly understood. This symbol system has been around since at least the 1820s; it’s deeply ingrained in all our brains as a judgement of value.

So, when a modern Internet user is making a snap decision, like where to grab a taco, the food truck with 5 Yelp stars is automatically going to look more appealing than the one with only 2. Ratings can also catch the eye when Schema (or Google serendipity) causes them to appear within organic SERPs or knowledge panels.

All of the above is well-understood, but while the exact impact of high star ratings on local pack rankings has long been speculative (it’s only factor #24 in this year’s Local Search Ranking Factors), we may have just reached a new day with Google. The ability to filter local finder results by rating has been around for some time, but in May, Google began testing the application of a “highly rated” snippet on hotel rankings in the local packs. Meanwhile, searches with the format of “best X in city” (e.g. best burrito in Dallas) appear to be defaulting to local results made up of businesses that have earned a minimum average of 4 stars. It’s early days yet, but totally safe for us to assume that Google is paying increased attention to numeric ratings as indicators of relevance.

Because we’re now reaching the point from which we can comfortably speculate that high ratings will tend to start correlating more frequently with high local rankings, it’s imperative for local businesses to view low ratings as the serious impediments to growth that they truly are. Big brands, in particular, must stop ignoring low star ratings, or they may find themselves not only having to close multiple store locations, but also, to be on the losing end of competing for rankings for their open stores when smaller competitors surpass their standards of cleanliness, quality, and employee behavior.

Consumer sentiment: The local business story your customers are writing for you

Here is a randomly chosen Google 3-pack result when searching just for “tacos” in a small city in the San Francisco Bay Area:

taco3pack.jpg

We’ve just been talking about ratings, and you can look at a result like this to get that instant gut feeling about the 4-star-rated eateries vs. the 2-star place. Now, let’s open the book on business #3 and see precisely what kind of story its consumers are writing. This is the first step towards doing a professional review audit for any business whose troubling reviews may point to future closure if problems aren’t fixed. A full audit would look at all relevant review platforms, but we’ll be brief here and just look at Google and Yelp and sort negative sentiments by type:

tacoaudit.jpg

It’s easy to ding fast food chains. Their business model isn’t commonly associated with fine dining or the kind of high wages that tend to promote employee excellence. In some ways, I think of them as extreme examples. Yet, they serve as good teaching models for how even the most modest-quality offerings create certain expectations in the minds of consumers, and when those basic expectations aren’t met, it’s enough of a story for consumers to share in the form of reviews.

This particular restaurant location has an obvious problem with slow service, orders being filled incorrectly, and employees who have not been trained to represent the brand in a knowledgeable, friendly, or accessible manner. Maybe a business you are auditing has pain points surrounding outdated fixtures or low standards of cleanliness.

Whatever the case, when the incoming consumer turns to the review world, their eyes scan the story as it scrolls down their screen. Repeat mentions of a particular negative issue can create enough of a theme to turn the potential customer away. One survey says only 13% of people will choose a business that has wound up with a 1–2 star rating based on poor reviews. Who can afford to let the other 87% of consumers go elsewhere?

There are 20 restaurants showing up in Google’s local finder for my “tacos” search, highlighted above. Taco Bell is managing to hold the #3 spot in the local pack right now, perhaps due to brand authority. My question is, what happens next, particularly if Google is going to amplify ratings and review sentiment in the overall local ranking mix? Will this chain location continue to beat out 4-star restaurants with 100+ positive reviews, or will it slip down as consumers continue to chronicle specific and unresolved issues?

No third-party brand controls Google, but your brand can open the book right now and make maximum use of the story your customers are constantly publishing — for free. By taking review insights as real and representative of all the customers who don’t speak up, and by actively addressing repeatedly cited issues, you could be making one of the smartest decisions in your company’s history.

Velocity/recency: Just enough of a timely good thing

This is one of the easiest aspects of review management to teach clients. You can sum it up in one sentence: don’t get too many reviews at once on any given platform but do get enough reviews on an ongoing basis to avoid looking like you’ve gone out of business.

For a little more background on the first part of that statement, watch Mary Bowling describing in this LocalU video how she audited a law firm that went from zero to thirty 5-star reviews within a single month. Sudden gluts of reviews like this not only look odd to alert customers, but they can trip review platform filters, resulting in removal. Remember, reviews are a business lifetime effort, not a race. Get a few this month, a few next month, and a few the month after that. Keep going.

The second half of the review timing paradigm relates to not running out of steam in your acquisition campaigns. One survey found that 73% of consumers don’t believe that reviews that are older than 3 months are still relevant to them, yet you will frequently encounter businesses that haven’t earned a new review in over a year. It makes you wonder if the place is still in business, or if it’s in business but is so unimpressive that no one is bothering to review it.

While I’d argue that review recency may be more important in review-oriented industries (like restaurants) vs. those that aren’t quite as actively reviewed (like septic system servicing), the idea here is similar to that of velocity, in that you want to keep things going. Don’t run a big review acquisition campaign in January and then forget about outreach for the rest of the year. A moderate, steady pace of acquisition is ideal.

Authenticity: Honesty is the only honest policy

For me, this is one of the most prickly and interesting aspects of the review world. Three opposing forces meet on this playing field: business ethics, business education, and the temptations engendered by the obvious limitations of review platforms to police themselves.

I recently began a basic audit of a family-owned restaurant for a friend of a friend. Within minutes, I realized that the family had been reviewing their own restaurant on Yelp (a glaring violation of Yelp’s policy). I felt sorry to see this, but being acquainted with the people involved (and knowing them to be quite nice!), I highly doubted they had done this out of some dark impulse to deceive the public. Rather, my guess was that they may have thought they were “getting the ball rolling” for their new business, hoping to inspire real reviews. My gut feeling was that they simply lacked the necessary education to understand that they were being dishonest with their community and how this could lead to them being publicly shamed by Yelp, if caught.

In such a scenario, there is definitely opportunity for the marketer to offer the necessary education to describe the risks involved in tying a brand to misleading practices, highlighting how vital it is to build trust within the local community. Fake positive reviews aren’t building anything real on which a company can stake its future. Ethical business owners will catch on when you explain this in honest terms and can then begin marketing themselves in smarter ways.

But then there’s the other side. Mike Blumenthal recently wrote of his discovery of the largest review spam network he’d ever encountered and there’s simply no way to confuse organized, global review spam with a busy small business making a wrong, novice move. Real temptation resides in this scenario, because, as Blumenthal states:

Review spam at this scale, unencumbered by any Google enforcement, calls into question every review that Google has. Fake business listings are bad, but businesses with 20, or 50, or 150 fake reviews are worse. They deceive the searcher and the buying public and they stain every real review, every honest business, and Google.”

When a platform like Google makes it easy to “get away with” deception, companies lacking ethics will take advantage of the opportunity. All we can do, as marketers, is to offer the education that helps ethical businesses make honest choices. We can simply pose the question:

Is it better to fake your business’ success or to actually achieve success?

On a final note, authenticity is a two-way street in the review world. When spammers target good businesses with fake, negative reviews, this also presents a totally false picture to the consumer public. I highly recommend reading about Whitespark’s recent successes in getting fake Google reviews removed. No guarantees here, but excellent strategic advice.

Owner responses: Your contributions to the consumer story

In previous Moz blog posts, I’ve highlighted the five types of Google My Business reviews and how to respond to them, and I’ve diagrammed a real-world example of how a terrible owner response can make a bad situation even worse. If the world of owner responses is somewhat new to you, I hope you’ll take a gander at both of those. Here, I’d like to focus on a specific aspect of owner responses, as it relates to the story reviews are telling about your business.

We’ve discussed above the tremendous insight consumer sentiment can provide into a company’s pain points. Negative reviews can be a roadmap to resolving repeatedly cited problems. They are inherently valuable in this regard, and by dint of their high visibility, they carry the inherent opportunity for the business owner to make a very public showing of accountability in the form of owner responses. A business can state all it wants on its website that it offers lightning-quick service, but when reviews complain of 20-minute waits for fast food, which source do you think the average consumer will trust?

The truth is, the hypothetical restaurant has a problem. They’re not going to be able to resolve slow service overnight. Some issues are going to require real planning and real changes to overcome. So what can the owner do in this case?

  1. Whistle past the graveyard, claiming everything is actually fine now, guaranteeing further disappointed expectations and further negative reviews resulting therefrom?
  2. Be gutsy and honest, sharing exactly what realizations the business has had due to the negative reviews, what the obstacles are to fixing the problems, and what solutions the business is implementing to do their best to overcome those obstacles?

Let’s look at this in living color:

whistlinggutsy.jpg

In yellow, the owner response is basically telling the story that the business is ignoring a legitimate complaint, and frankly, couldn’t care less. In blue, the owner has jumped right into the storyline, having the guts to take the blame, apologize, explain what happened and promise a fix — not an instant one, but a fix on the way. In the end, the narrative is going to go on with or without input from the owner, but in the blue example, the owner is taking the steering wheel into his own hands for at least part of the road trip. That initiative could save not just his franchise location, but the brand at large. Just ask Florian Huebner:

“Over the course of 2013 customers of Yi-Ko Holding’s restaurants increasingly left public online reviews about “broken and dirty furniture,” “sleeping and indifferent staff,” and “mice running around in the kitchen.” Per the nature of a franchise system, to the typical consumer it was unclear that these problems were limited to this individual franchisee. Consequently, the Burger King brand as a whole began to deteriorate and customers reduced their consumption across all locations, leading to revenue declines of up to 33% for some other franchisees.”

Positive news for small businesses working like mad to compete: You have more agility to put initiatives into quick action than the big brands do. Companies with 1,000 locations may let negative reviews go unanswered because they lack a clear policy or hierarchy for owner responses, but smaller enterprises can literally turn this around in a day. Just sit down at the nearest computer, claim your review profiles, and jump into the story with the goal of hearing, impressing, and keeping every single customer you can.

Big brands: The challenge for you is larger, by dint of your size, but you’ve also likely got the infrastructure to make this task no problem. You just have to assign the right people to the job, with thoughtful guidelines for ensuring your brand is being represented in a winning way.

NAP and reviews: The 1–2 punch combo every local business must practice

When traveling salesman Duncan Hines first published his 1935 review guide Adventures in Good Eating, he was pioneering what we think of today as local SEO. Here is my color-coded version of his review of the business that would one day become KFC. It should look strangely familiar to every one of you who has ever tackled citation management:

duncanhines.jpg

No phone number on this “citation,” of course, but then again telephones were quite a luxury in 1935. Barring that element, this simple and historic review has the core earmarks of a modern local business listing. It has location data and review data; it’s the 1–2 punch combo every local business still needs to get right today. Without the NAP, the business can’t be found. Without the sentiment, the business gives little reason to be chosen.

Are you heading to a team meeting today? Preparing to chat with an incoming client? Make the winning combo as simple as possible, like this:

  1. We’ve got to manage our local business listings so that they’re accessible, accurate, and complete. We can automate much of this (check out Moz Local) so that we get found.
  2. We’ve got to breathe life into the listings so that they act as interactive advertisements, helping us get chosen. We can do this by earning reviews and responding to them. This is our company heartbeat — our story.

From Duncan Hines to the digital age, there may be nothing new under the sun in marketing, but when you spend year after year looking at the sadly neglected review portions of local business listings, you realize you may have something to teach that is new news to somebody. So go for it — communicate this stuff, and good luck at your next big meeting!


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!

Continue reading →

Location Data + Reviews: The 1–2 Punch of Local SEO

Posted by MiriamEllis

localseocombo.jpg

My father, a hale and hearty gentleman in his seventies, simply won’t dine at a new restaurant these days before he checks its reviews on his cell phone. Your 23-year-old nephew, who travels around the country for his job as a college sports writer, has devoted 233 hours of his young life to writing 932 reviews on Yelp (932 reviews x @15 minutes per review).

Yes, our local SEO industry knows that my dad and your nephew need to find accurate NAP on local business listings to actually find and get to business locations. This is what makes our historic focus on citation data management totally reasonable. But reviews are what help a business to be chosen. Phil Rozek kindly highlighted a comment of mine as being among the most insightful on the Local Search Ranking Factors 2017 survey:

“If I could drive home one topic in 2017 for local business owners, it would surround everything relating to reviews. This would include rating, consumer sentiment, velocity, authenticity, and owner responses, both on third-party platforms and native website reviews/testimonials pages. The influence of reviews is enormous; I have come to see them as almost as powerful as the NAP on your citations. NAP must be accurate for rankings and consumer direction, but reviews sell.”

I’d like to take a few moments here to dive deeper into that list of review elements. It’s my hope that this post is one you can take to your clients, team or boss to urge creative and financial allocations for a review management campaign that reflects the central importance of this special form of marketing.

Ratings: At-a-glance consumer impressions and impactful rankings filter

Whether they’re stars or circles, the majority of rating icons send a 1–5 point signal to consumers that can be instantly understood. This symbol system has been around since at least the 1820s; it’s deeply ingrained in all our brains as a judgement of value.

So, when a modern Internet user is making a snap decision, like where to grab a taco, the food truck with 5 Yelp stars is automatically going to look more appealing than the one with only 2. Ratings can also catch the eye when Schema (or Google serendipity) causes them to appear within organic SERPs or knowledge panels.

All of the above is well-understood, but while the exact impact of high star ratings on local pack rankings has long been speculative (it’s only factor #24 in this year’s Local Search Ranking Factors), we may have just reached a new day with Google. The ability to filter local finder results by rating has been around for some time, but in May, Google began testing the application of a “highly rated” snippet on hotel rankings in the local packs. Meanwhile, searches with the format of “best X in city” (e.g. best burrito in Dallas) appear to be defaulting to local results made up of businesses that have earned a minimum average of 4 stars. It’s early days yet, but totally safe for us to assume that Google is paying increased attention to numeric ratings as indicators of relevance.

Because we’re now reaching the point from which we can comfortably speculate that high ratings will tend to start correlating more frequently with high local rankings, it’s imperative for local businesses to view low ratings as the serious impediments to growth that they truly are. Big brands, in particular, must stop ignoring low star ratings, or they may find themselves not only having to close multiple store locations, but also, to be on the losing end of competing for rankings for their open stores when smaller competitors surpass their standards of cleanliness, quality, and employee behavior.

Consumer sentiment: The local business story your customers are writing for you

Here is a randomly chosen Google 3-pack result when searching just for “tacos” in a small city in the San Francisco Bay Area:

taco3pack.jpg

We’ve just been talking about ratings, and you can look at a result like this to get that instant gut feeling about the 4-star-rated eateries vs. the 2-star place. Now, let’s open the book on business #3 and see precisely what kind of story its consumers are writing. This is the first step towards doing a professional review audit for any business whose troubling reviews may point to future closure if problems aren’t fixed. A full audit would look at all relevant review platforms, but we’ll be brief here and just look at Google and Yelp and sort negative sentiments by type:

tacoaudit.jpg

It’s easy to ding fast food chains. Their business model isn’t commonly associated with fine dining or the kind of high wages that tend to promote employee excellence. In some ways, I think of them as extreme examples. Yet, they serve as good teaching models for how even the most modest-quality offerings create certain expectations in the minds of consumers, and when those basic expectations aren’t met, it’s enough of a story for consumers to share in the form of reviews.

This particular restaurant location has an obvious problem with slow service, orders being filled incorrectly, and employees who have not been trained to represent the brand in a knowledgeable, friendly, or accessible manner. Maybe a business you are auditing has pain points surrounding outdated fixtures or low standards of cleanliness.

Whatever the case, when the incoming consumer turns to the review world, their eyes scan the story as it scrolls down their screen. Repeat mentions of a particular negative issue can create enough of a theme to turn the potential customer away. One survey says only 13% of people will choose a business that has wound up with a 1–2 star rating based on poor reviews. Who can afford to let the other 87% of consumers go elsewhere?

There are 20 restaurants showing up in Google’s local finder for my “tacos” search, highlighted above. Taco Bell is managing to hold the #3 spot in the local pack right now, perhaps due to brand authority. My question is, what happens next, particularly if Google is going to amplify ratings and review sentiment in the overall local ranking mix? Will this chain location continue to beat out 4-star restaurants with 100+ positive reviews, or will it slip down as consumers continue to chronicle specific and unresolved issues?

No third-party brand controls Google, but your brand can open the book right now and make maximum use of the story your customers are constantly publishing — for free. By taking review insights as real and representative of all the customers who don’t speak up, and by actively addressing repeatedly cited issues, you could be making one of the smartest decisions in your company’s history.

Velocity/recency: Just enough of a timely good thing

This is one of the easiest aspects of review management to teach clients. You can sum it up in one sentence: don’t get too many reviews at once on any given platform but do get enough reviews on an ongoing basis to avoid looking like you’ve gone out of business.

For a little more background on the first part of that statement, watch Mary Bowling describing in this LocalU video how she audited a law firm that went from zero to thirty 5-star reviews within a single month. Sudden gluts of reviews like this not only look odd to alert customers, but they can trip review platform filters, resulting in removal. Remember, reviews are a business lifetime effort, not a race. Get a few this month, a few next month, and a few the month after that. Keep going.

The second half of the review timing paradigm relates to not running out of steam in your acquisition campaigns. One survey found that 73% of consumers don’t believe that reviews that are older than 3 months are still relevant to them, yet you will frequently encounter businesses that haven’t earned a new review in over a year. It makes you wonder if the place is still in business, or if it’s in business but is so unimpressive that no one is bothering to review it.

While I’d argue that review recency may be more important in review-oriented industries (like restaurants) vs. those that aren’t quite as actively reviewed (like septic system servicing), the idea here is similar to that of velocity, in that you want to keep things going. Don’t run a big review acquisition campaign in January and then forget about outreach for the rest of the year. A moderate, steady pace of acquisition is ideal.

Authenticity: Honesty is the only honest policy

For me, this is one of the most prickly and interesting aspects of the review world. Three opposing forces meet on this playing field: business ethics, business education, and the temptations engendered by the obvious limitations of review platforms to police themselves.

I recently began a basic audit of a family-owned restaurant for a friend of a friend. Within minutes, I realized that the family had been reviewing their own restaurant on Yelp (a glaring violation of Yelp’s policy). I felt sorry to see this, but being acquainted with the people involved (and knowing them to be quite nice!), I highly doubted they had done this out of some dark impulse to deceive the public. Rather, my guess was that they may have thought they were “getting the ball rolling” for their new business, hoping to inspire real reviews. My gut feeling was that they simply lacked the necessary education to understand that they were being dishonest with their community and how this could lead to them being publicly shamed by Yelp, if caught.

In such a scenario, there is definitely opportunity for the marketer to offer the necessary education to describe the risks involved in tying a brand to misleading practices, highlighting how vital it is to build trust within the local community. Fake positive reviews aren’t building anything real on which a company can stake its future. Ethical business owners will catch on when you explain this in honest terms and can then begin marketing themselves in smarter ways.

But then there’s the other side. Mike Blumenthal recently wrote of his discovery of the largest review spam network he’d ever encountered and there’s simply no way to confuse organized, global review spam with a busy small business making a wrong, novice move. Real temptation resides in this scenario, because, as Blumenthal states:

Review spam at this scale, unencumbered by any Google enforcement, calls into question every review that Google has. Fake business listings are bad, but businesses with 20, or 50, or 150 fake reviews are worse. They deceive the searcher and the buying public and they stain every real review, every honest business, and Google.”

When a platform like Google makes it easy to “get away with” deception, companies lacking ethics will take advantage of the opportunity. All we can do, as marketers, is to offer the education that helps ethical businesses make honest choices. We can simply pose the question:

Is it better to fake your business’ success or to actually achieve success?

On a final note, authenticity is a two-way street in the review world. When spammers target good businesses with fake, negative reviews, this also presents a totally false picture to the consumer public. I highly recommend reading about Whitespark’s recent successes in getting fake Google reviews removed. No guarantees here, but excellent strategic advice.

Owner responses: Your contributions to the consumer story

In previous Moz blog posts, I’ve highlighted the five types of Google My Business reviews and how to respond to them, and I’ve diagrammed a real-world example of how a terrible owner response can make a bad situation even worse. If the world of owner responses is somewhat new to you, I hope you’ll take a gander at both of those. Here, I’d like to focus on a specific aspect of owner responses, as it relates to the story reviews are telling about your business.

We’ve discussed above the tremendous insight consumer sentiment can provide into a company’s pain points. Negative reviews can be a roadmap to resolving repeatedly cited problems. They are inherently valuable in this regard, and by dint of their high visibility, they carry the inherent opportunity for the business owner to make a very public showing of accountability in the form of owner responses. A business can state all it wants on its website that it offers lightning-quick service, but when reviews complain of 20-minute waits for fast food, which source do you think the average consumer will trust?

The truth is, the hypothetical restaurant has a problem. They’re not going to be able to resolve slow service overnight. Some issues are going to require real planning and real changes to overcome. So what can the owner do in this case?

  1. Whistle past the graveyard, claiming everything is actually fine now, guaranteeing further disappointed expectations and further negative reviews resulting therefrom?
  2. Be gutsy and honest, sharing exactly what realizations the business has had due to the negative reviews, what the obstacles are to fixing the problems, and what solutions the business is implementing to do their best to overcome those obstacles?

Let’s look at this in living color:

whistlinggutsy.jpg

In yellow, the owner response is basically telling the story that the business is ignoring a legitimate complaint, and frankly, couldn’t care less. In blue, the owner has jumped right into the storyline, having the guts to take the blame, apologize, explain what happened and promise a fix — not an instant one, but a fix on the way. In the end, the narrative is going to go on with or without input from the owner, but in the blue example, the owner is taking the steering wheel into his own hands for at least part of the road trip. That initiative could save not just his franchise location, but the brand at large. Just ask Florian Huebner:

“Over the course of 2013 customers of Yi-Ko Holding’s restaurants increasingly left public online reviews about “broken and dirty furniture,” “sleeping and indifferent staff,” and “mice running around in the kitchen.” Per the nature of a franchise system, to the typical consumer it was unclear that these problems were limited to this individual franchisee. Consequently, the Burger King brand as a whole began to deteriorate and customers reduced their consumption across all locations, leading to revenue declines of up to 33% for some other franchisees.”

Positive news for small businesses working like mad to compete: You have more agility to put initiatives into quick action than the big brands do. Companies with 1,000 locations may let negative reviews go unanswered because they lack a clear policy or hierarchy for owner responses, but smaller enterprises can literally turn this around in a day. Just sit down at the nearest computer, claim your review profiles, and jump into the story with the goal of hearing, impressing, and keeping every single customer you can.

Big brands: The challenge for you is larger, by dint of your size, but you’ve also likely got the infrastructure to make this task no problem. You just have to assign the right people to the job, with thoughtful guidelines for ensuring your brand is being represented in a winning way.

NAP and reviews: The 1–2 punch combo every local business must practice

When traveling salesman Duncan Hines first published his 1935 review guide Adventures in Good Eating, he was pioneering what we think of today as local SEO. Here is my color-coded version of his review of the business that would one day become KFC. It should look strangely familiar to every one of you who has ever tackled citation management:

duncanhines.jpg

No phone number on this “citation,” of course, but then again telephones were quite a luxury in 1935. Barring that element, this simple and historic review has the core earmarks of a modern local business listing. It has location data and review data; it’s the 1–2 punch combo every local business still needs to get right today. Without the NAP, the business can’t be found. Without the sentiment, the business gives little reason to be chosen.

Are you heading to a team meeting today? Preparing to chat with an incoming client? Make the winning combo as simple as possible, like this:

  1. We’ve got to manage our local business listings so that they’re accessible, accurate, and complete. We can automate much of this (check out Moz Local) so that we get found.
  2. We’ve got to breathe life into the listings so that they act as interactive advertisements, helping us get chosen. We can do this by earning reviews and responding to them. This is our company heartbeat — our story.

From Duncan Hines to the digital age, there may be nothing new under the sun in marketing, but when you spend year after year looking at the sadly neglected review portions of local business listings, you realize you may have something to teach that is new news to somebody. So go for it — communicate this stuff, and good luck at your next big meeting!


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Tasty SEO Report Recipes to Save Time & Add Value for Clients [Next Level]

Posted by jocameron

Reporting can be the height of tedium. You spend your time making those reports, your client may (or may not) spend their time trying to understand them. And then, in the end, we’re all left with some unanswered questions and a rumble in the tum of dissatisfaction.

I’m going to take some basic metrics, throw in some culinary metaphors, and take your client reporting to the next level.

By the end of this article you’ll know how to whip up intelligent SEO reports for your clients (or potential clients) that will deliver actionable insights any search chef worth their salt would be proud of.

[Part one] Freshly foraged keywords on sourdough to power your campaign

I’ve got intel on some really tasty keywords; did you know you can scoop these up like wild porcini mushrooms using your website categories? The trick is to find the keywords that you can use to make a lovely risotto, and discard the ones that taste nasty.

The overabundance of keywords has become a bit of a challenge for SEOs. Google is better at gauging user intent — it’s kind of their thing, right? This results in the types of keywords that send traffic to your clients expanding, and it’s becoming trickier to track every. single. keyword. Of course, with a budget big enough almost anything is possible, but why hemorrhage cash on tracking the keyword minutiae when you can wrangle intelligent data by tracking a sample of keywords from a few pots?

With Keyword Explorer, you can save your foraged terms to lists. By bundling together similar “species,” you’ll get a top-level view of the breadth and depth of search behavior within the categories of your niche. Easily compare volume, difficulty, opportunity, and potential to instigate a data-driven approach to website architecture. You’ll also know, at a glance, where to expand on certain topics and apply more resources to content creation.

With these metrics in hand and your client’s industry knowledge, you can cherry-pick keywords to track ranking positions week over week and add them to your Moz Pro campaign with the click of a button.

What’s the recipe?

Step 1: Pluck keywords from the category pages of your client’s site.

Step 2: Find keyword suggestions in Keyword Explorer.

Step 3: Group by low lexicon to bundle together similar keywords to gather up that long tail.

Step 4: Analyze and save relevant results to a list

Step 5: Head to the Keyword Lists and compare the metrics: where is the opportunity? Can you compete with the level of difficulty? Is there a high-volume long tail that you can dig in to?

Step 6: Add sample keywords from your pots directly to your campaign.

Bonus step: Repeat for products or other topic segments of the niche.

Don’t forget to drill into the keywords that are turning up here to see if there are categories and subcategories you hadn’t thought of. These can be targeted in existing content to further extend the relevancy and reach of your client’s content. Or it may inspire new content which can help to grow the authority of the site.

Why your client will be impressed

Through solid, informed research, you’ll be able to demonstrate why their site should be structured with certain categories on the top-level navigation right down to product pages. You’ll also be able to prioritize work on building, improving, or refining content on certain sections of the site by understanding the breakdown of search behavior and demand. Are you seeing lots of keywords with a good level of volume and lower difficulty? Or more in-depth long tail with low search volume? Or fewer different keywords with high search volume but stronger competition?

Let the demand drive the machine forward and make sure you’re giving the hordes what they want.

All this helps to further develop your understanding of the ways people search so you can make informed decisions about which keywords to track.

[Part two] Palate-cleansing lemon keyword label sorbet

Before diving into the next course you need to cleanse your palate with a lemon “label” sorbet.

In Part One, we talked about the struggle of maintaining gigantic lists of keywords. We’ve sampled keywords from our foraged pots, keeping these arranged and segmented in our Moz Pro campaign.

Now you want to give those tracked keywords a more defined purpose in life. This will help to reinforce to your client why you’re tracking these keywords, what the goal is for tracking them, and in what sort of timeframe you’re anticipating results.

Types of labels may include:

  • Local keywords: Is your business serving local people, like a mushroom walking tour? You can add geo modifiers to your keywords and label them as such.
  • Long-tail keywords: Might have lower search volume, but focused intent can convert well for your client.
  • High-priority keywords: Where you’re shoveling more resources, these keywords are more likely impacting the other keyword segments.
  • Brand keywords: Mirror, mirror on the wall… yeah, we all want those vanity keywords, don’t lie. You can manage brand keywords automatically through “Manage Brand Rules” in Moz Pro:

A generous scoop of tasty lemon “label” sorbet will make all the work you do and progress you achieve infinitely easier to report on with clear, actionable focus.

What’s the recipe?

Step 1: Label your keywords like a pro.

Step 2: Filter by labels in the Ranking tab to analyze Search Visibility for your keyword segments.

In this example, I’m comparing our visibility for “learn” keywords against “guide” keywords:

Step 3: Create a custom report for your keyword segments.

Step 4: Add a drizzle of balsamic vinegar by triggering the Optimize button — now you can send the latest on-page reporting with your super-focused ranking report.

Why your client will be impressed

Your ranking reports will be like nothing your client has ever tasted. They will be tightly focused on the segments of keywords you’re working on, so they aren’t bamboozled by a new slew of keywords or a sudden downward trend. By clearly segmenting your piles of lovely keywords, you’ll be proactively answering those inevitable queries about why, when, and in what form your client will begin to see results.

With the on-page scores updating automatically and shipping out to your client’s inbox every month via a custom report, you’ll be effortlessly highlighting what your team has achieved.

[Part three] Steak sandwich links with crispy competitor bacon

You’re working with your client to publish content, amplifying it through social channels and driving brand awareness through PR campaigns.

Now you want to keep them informed of the big wins you’ve had as a result of that grind. Link data in Moz Pro focuses on the highest-quality links with our Mozscape index, coming from the most prominent pages of authoritative sites. So, while you may not see every link for a site within our index, we’re reporting the most valuable ones.

Alongside our top-quality steak sarnie, we’re add some crispy competitor bacon so you can identify what content is working for the other sites in your industry.

What’s the recipe?

Step 1: Check that you have direct competitors set up on your campaign.

Step 2: Compare link metrics for your site and your competitors.

Step 4: Head to Top Pages to see what those competitors are doing to get ahead.

Step 5: Compile a delicious report sandwich!

Step 6: Make another report for Top Pages for the bacon-filled sandwich experience.

Why your client will be impressed

Each quality established link gives your client a clear idea of the value of their content and the blood, sweat, and tears of your team.

These little gems are established and more likely to have an impact on their ranking potential. Don’t forget to have a chat with your client where you explain that a link’s impact on rankings takes time.

By comparing this directly with the other sites battling it out for top SERP property, it’s easier to identify progress and achievements.

By highlighting those pesky competitors and their top pages by authority, you’re also getting ahead of that burning question of: How can we improve?

[Part four] Cinnamon-dusted ranking reports with cherry-glazed traffic

Rankings are a staple ingredient in the SEO diet. Much like the ever-expanding keyword list, reporting on rankings has become something we do without thinking enough about that what clients can do with that information.

Dish up an all-singing, all-dancing cinnamon-dusted rankings report with cherry-glazed traffic by illustrating the direct impact these rankings have on organic traffic. Real people, coasting on through the search results to your client’s site.

Landing Pages in Moz Pro compares rankings with organic landing pages, imparting not just the ranking score but the value of those pages. Compliments to the chef, because that good work is down to you.

What’s the recipe?

Step 1: Track your target keywords in Moz Pro.

Step 2: Check you’ve hooked up Google Analytics for that tasty traffic data.

Step 3: Discover landing pages and estimated traffic share.

As your SEO work drives more traffic to those pages and your keyword rankings steadily increase, you’ll see your estimated traffic share go up.

If your organic traffic from search is increasing but your ranking is dropping off, it’s an indication that this keyword isn’t the driving force.

Now you can have a dig around and find out why that keyword isn’t performing, starting with your on-page optimization and following up with keyword research.

Why your client will be impressed

We all send ranking reports, and I’m sure clients just love it. But now you can dazzle them with an insight into what those rankings mean for the lifeblood of their site.

You can also take action by directing more energy towards those well-performing keywords, or investigate what worked well for those pages and replicate it across other keywords and pages on your site.

Wrapping up

It’s time to say “enough is enough” and inject some flavor into those bland old SEO reports. Your team will save time and your clients will thank you for the tasty buffet of reporting delight.

Next Level is our educational series combining actionable SEO tips with tools you can use to achieve them. Check out any of our past editions below:


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