6 Ways to Build Brand Authority With Content Marketing

Posted by amandamilligan

Becoming an authoritative brand is no easy feat, but the massive benefits are worth the effort.

When you’ve built authority, potential customers and clients begin to count on you and trust you — and it’s hard to imagine that trust not leading to a sale (at some point).

But how exactly can a brand begin to build, or build upon, their authority? Content is an excellent way, and in this article, I’ll go through my tips on how it can be done.

1. Answer your audience’s questions

If you’re not doing this, there’s virtually no way you’ll become an authority. People grow to rely on brands when those brands provide the information they’re looking for, so if your content marketing doesn’t incorporate those answers, you’re not demonstrating to your audience why they should trust you.

By building on-site content that provides this kind of value, you can build authority while simultaneously building more awareness for your brand. In other words, you can position yourself as an expert for those who don’t already know you.

Search is a huge component of why this content tactic works. Google does a significant amount of curation for users, choosing what it thinks is the most appropriate results for a particular query. When users see that you’re ranking at the top for a certain keyword or topic, there’s an assumption you made it through the algorithm for good reason and know what you’re talking about.

As an example, I searched “shoe size chart,” which, according to Keyword Surfer, gets 49,500 monthly searches in the U.S. alone. Here’s one of the top results from Famous Footwear:

Presumably, people are searching for this because they want to buy shoes, but they’re not sure what size to get. If they click this result, not only are they now on the website, but they recognize that this brand provided the answer they were looking for. Perhaps they’ll even browse for shoes while they’re on the site.

How to execute this strategy: Find out what your target audience is curious about by talking to your customer service representatives, performing keyword research, and using tools like Answer the Public and BuzzSumo’s Discover Questions feature. Then see what content already exists and if you can do better. If you can, get to creating!

2. Create newsworthy reports and studies

One of the best ways to demonstrate your authority is to show your continued interest in unearthing new information and insights. You can do this by prioritizing original research.

When you create your own studies, surveys, and reports (aka perform data journalism) based on new data or unveiling new insights, you not only provide value to readers, but also have something you can pitch to the media.

This gives you double benefit: Getting media coverage (and building even more brand authority) and earning high-quality backlinks, which signals to Google that you’re an authority.

We’ve used this strategy for our clients since Fractl first started up in 2012, and we’re convinced it’s one of the best brand authority strategies.

Let’s look at a study we did for The Interview Guys, as an example, which involved analyzing the U.S. Bureau of Labor Statistics’ Occupational Requirements Survey to identify the highest-paying jobs that require the least amount of experience. Here’s one of the graphics from the report:

The study got media coverage on CNBC, Reader’s Digest, MarketWatch and more, earning extremely high-value dofollow links. But take a look at how The Interview Guys are mentioned in the articles:

By supplying new insights, The Interview Guys are positioned by the writers as the source of the information, which is an extremely authoritative way to be referenced.

How to execute this strategy: After doing the first tip and analyzing questions, zoom out a bit and consider what general questions in your industry still need answers. How can you answer them with data? Once you’ve created a report that reveals new information, utilize digital PR to pitch writers.

3. Utilize the authority of in-house experts

Some brands are built entirely around a particular persona, like Steve Jobs with Apple, but those examples can intimidate people. Smaller companies and newer companies alike can benefit from a similar strategy if they have subject matter experts (or SMEs) who can show their authority.

A great example of this is Headspace and how it features its founder, Andy Puddicombe. There’s a page all about him on their website where they explain his credentials but also provide what are called authority signals (which I’ll explain more in the next section) and embed his Ted Talk, so you can see for yourself what he knows.

Why is this smart? Headspace probably realized that as the literal voice behind Headspace (Andy does much of the meditation audio himself), Andy started building trust with audiences. It makes sense to double-down on that trust by helping people get to know who he is, and by having him explain even more concepts directly through Radio Headspace and their YouTube channel. After all, if people trust Andy, they’re more likely to trust the Headspace app.

How to execute this strategy: If your internal experts have never shared anything with the public, see if they’re comfortable contributing blog posts or quotes to your website. Pitch them to be on podcasts, or use Help a Reporter Out (HARO) to pitch them as sources for relevant news articles. Help them demonstrate their knowledge in ways that are useful to audiences.

4. Highlight reviews, case studies, and other proof of expertise

There are dozens of types of authority signals, from testimonials to reviews to social media share counts. The key is identifying which ones make sense to highlight for your products or services, and figuring out the best placement for them.

Your goal is to show people you know what you’re talking about by leveraging third-party validation. Your audience doesn’t just have to take your word for it that you know what you’re doing — other people can confirm that you’re great, too!

I like how SquadCast tackles this. On their homepage they have a few authority signals they provide, including testimonials that match with each user persona, which I think is really smart.

Then when you scroll further, they throw in the fact that household names like Spotify, Microsoft, Starbucks, and ESPN trust them.

If you look at the Fractl site, you’ll see we use a similar strategy. Not only do we have case studies showcasing the results we’ve gotten for clients, but we also have logos showing some of the clients we’ve worked with and the publications where our thought leadership appears.

All of this content says to a site visitor: “Others trust us, and you should too.”

How to execute this strategy: If you don’t already have this type of content, ask yourself how you can best collect it. Reach out to your best clients and ask them for a quote. Pull the best reviews you’ve ever gotten for your products. Call out any media mentions you’ve received. Then put this information on your homepage, but also on conversion pages to instill confidence when and where it counts.

5. Associate with other authoritative brands

You know the phrase, “Show me who your friends are, and I’ll tell you who you are?” That can apply in marketing, too.

If you align with other brands you respect and that are doing right by their customers/users, it’s possible some of that same trust will transfer to you if that company’s respect is reciprocated. Additionally, if you collaborate, you’re getting your brand name in front of a new audience.

So, think about which brands it makes sense to collaborate with. There are ways to do this outside of content marketing, like referral programs, but there are content-specific ways to work together, too.

This is an amazing example from Auntie Anne’s and Samuel Adams, who teamed up to create an at-home Oktoberfest kit, complete with Samuel Adams Octoberfest beer, Auntie Anne's DIY Pretzel Kit, recipe book, a "Prost from Home" playlist you can stream, and more.

This isn’t purely a content strategy, but you can see the overlap between product and building more of an experience. People who love and count on Auntie Anne’s pretzels are exposed to Samuel Adams and vice versa. Through a collaboration like this, fans of one have the potential to become fans of the other, as you can see in this review:

This is a more fun example, but you can also execute a collaboration based on studies and surveys by partnering with organizations interested in answering the same questions or solving the same problems as your brand.

How to execute this strategy: Brainstorm which brands you may have a natural alignment in objectives or values with. How can you work together to provide something of value to both of your audiences?

6. Give away some of your secrets

This can be scary for a lot of marketers and especially for the C-suite. Why should you give away what makes you great?

It’s a valid question, and it won’t always apply. But in some cases, especially for service-based businesses, sharing information and breaking down exactly how you achieve that greatness can actually build trust.

Marcus Sheridan has a wonderful example of this. When my colleague attended Inbound last year, she was impressed by Marcus’s presentation in which he described a single blog post that earned him $2 million in sales. (Heidi Cohen has a great write up about it.)

Why did it work? Because he shared information no one else wanted to share: the actual cost of a fiberglass pool. Rather than hiding the information and revealing it later in the sales process, he was forthright and answered the question people wanted the answer to. Clearly this strategy paid off.

We use the same philosophy at Fractl, explaining exactly how we go about doing our work and building our clients links and brand awareness. There are process details we haven’t disclosed, but all and all, we’ve been very transparent about how we operate, and it’s worked well for us.

In fact, people still recall an Experts on the Wire podcast interview with Kerry Jones, our previous marketing director, in which she walked through our strategies. I’ve had marketing folks tell me that this is how they heard about Fractl in the first place. Years later, it’s still featured on the podcast’s main page:

People appreciate when you’re open and honest. In our case, even if people knew our strategy, clients often partner with us because they don’t have the bandwidth to execute the strategy at scale, as it requires a lot of time and resources. So by knowing how we work, they can trust us to handle it for them.

How to execute this strategy: Consider what information you have that you can share, even if (sometimes especially if) your competitors haven’t shared it. You can leave a big impression of you’re open about your industry in a way others aren’t. Of course, don’t do something that will jeopardize your company, but consider the question and see what might make sense.

Conclusion

The very act of investing in content marketing is a big step in building more brand authority. By creating content that’s beneficial for your audience, you’re demonstrating your own knowledge and utilizing your expertise.

By continuing to build on your strategy with the above tactics, you can greatly improve the chances your audience will not only remember your brand, but begin to trust your brand. Additionally, it’s likely the Google algorithm will recognize your authority, as well, especially after building an impressive link portfolio, and your results will rise in the SERP ranks.

Good luck amplifying your strategy, and don’t hesitate to reach out if you have any questions!

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!

Posted by amandamilligan

Becoming an authoritative brand is no easy feat, but the massive benefits are worth the effort.

When you’ve built authority, potential customers and clients begin to count on you and trust you — and it’s hard to imagine that trust not leading to a sale (at some point).

But how exactly can a brand begin to build, or build upon, their authority? Content is an excellent way, and in this article, I’ll go through my tips on how it can be done.

1. Answer your audience’s questions

If you’re not doing this, there’s virtually no way you’ll become an authority. People grow to rely on brands when those brands provide the information they’re looking for, so if your content marketing doesn’t incorporate those answers, you’re not demonstrating to your audience why they should trust you.

By building on-site content that provides this kind of value, you can build authority while simultaneously building more awareness for your brand. In other words, you can position yourself as an expert for those who don’t already know you.

Search is a huge component of why this content tactic works. Google does a significant amount of curation for users, choosing what it thinks is the most appropriate results for a particular query. When users see that you’re ranking at the top for a certain keyword or topic, there’s an assumption you made it through the algorithm for good reason and know what you’re talking about.

As an example, I searched “shoe size chart,” which, according to Keyword Surfer, gets 49,500 monthly searches in the U.S. alone. Here’s one of the top results from Famous Footwear:

Presumably, people are searching for this because they want to buy shoes, but they’re not sure what size to get. If they click this result, not only are they now on the website, but they recognize that this brand provided the answer they were looking for. Perhaps they’ll even browse for shoes while they’re on the site.

How to execute this strategy: Find out what your target audience is curious about by talking to your customer service representatives, performing keyword research, and using tools like Answer the Public and BuzzSumo’s Discover Questions feature. Then see what content already exists and if you can do better. If you can, get to creating!

2. Create newsworthy reports and studies

One of the best ways to demonstrate your authority is to show your continued interest in unearthing new information and insights. You can do this by prioritizing original research.

When you create your own studies, surveys, and reports (aka perform data journalism) based on new data or unveiling new insights, you not only provide value to readers, but also have something you can pitch to the media.

This gives you double benefit: Getting media coverage (and building even more brand authority) and earning high-quality backlinks, which signals to Google that you’re an authority.

We’ve used this strategy for our clients since Fractl first started up in 2012, and we’re convinced it’s one of the best brand authority strategies.

Let’s look at a study we did for The Interview Guys, as an example, which involved analyzing the U.S. Bureau of Labor Statistics’ Occupational Requirements Survey to identify the highest-paying jobs that require the least amount of experience. Here’s one of the graphics from the report:

The study got media coverage on CNBC, Reader’s Digest, MarketWatch and more, earning extremely high-value dofollow links. But take a look at how The Interview Guys are mentioned in the articles:

By supplying new insights, The Interview Guys are positioned by the writers as the source of the information, which is an extremely authoritative way to be referenced.

How to execute this strategy: After doing the first tip and analyzing questions, zoom out a bit and consider what general questions in your industry still need answers. How can you answer them with data? Once you’ve created a report that reveals new information, utilize digital PR to pitch writers.

3. Utilize the authority of in-house experts

Some brands are built entirely around a particular persona, like Steve Jobs with Apple, but those examples can intimidate people. Smaller companies and newer companies alike can benefit from a similar strategy if they have subject matter experts (or SMEs) who can show their authority.

A great example of this is Headspace and how it features its founder, Andy Puddicombe. There’s a page all about him on their website where they explain his credentials but also provide what are called authority signals (which I’ll explain more in the next section) and embed his Ted Talk, so you can see for yourself what he knows.

Why is this smart? Headspace probably realized that as the literal voice behind Headspace (Andy does much of the meditation audio himself), Andy started building trust with audiences. It makes sense to double-down on that trust by helping people get to know who he is, and by having him explain even more concepts directly through Radio Headspace and their YouTube channel. After all, if people trust Andy, they’re more likely to trust the Headspace app.

How to execute this strategy: If your internal experts have never shared anything with the public, see if they’re comfortable contributing blog posts or quotes to your website. Pitch them to be on podcasts, or use Help a Reporter Out (HARO) to pitch them as sources for relevant news articles. Help them demonstrate their knowledge in ways that are useful to audiences.

4. Highlight reviews, case studies, and other proof of expertise

There are dozens of types of authority signals, from testimonials to reviews to social media share counts. The key is identifying which ones make sense to highlight for your products or services, and figuring out the best placement for them.

Your goal is to show people you know what you’re talking about by leveraging third-party validation. Your audience doesn’t just have to take your word for it that you know what you’re doing — other people can confirm that you’re great, too!

I like how SquadCast tackles this. On their homepage they have a few authority signals they provide, including testimonials that match with each user persona, which I think is really smart.

Then when you scroll further, they throw in the fact that household names like Spotify, Microsoft, Starbucks, and ESPN trust them.

If you look at the Fractl site, you’ll see we use a similar strategy. Not only do we have case studies showcasing the results we’ve gotten for clients, but we also have logos showing some of the clients we’ve worked with and the publications where our thought leadership appears.

All of this content says to a site visitor: “Others trust us, and you should too.”

How to execute this strategy: If you don’t already have this type of content, ask yourself how you can best collect it. Reach out to your best clients and ask them for a quote. Pull the best reviews you’ve ever gotten for your products. Call out any media mentions you’ve received. Then put this information on your homepage, but also on conversion pages to instill confidence when and where it counts.

5. Associate with other authoritative brands

You know the phrase, “Show me who your friends are, and I’ll tell you who you are?” That can apply in marketing, too.

If you align with other brands you respect and that are doing right by their customers/users, it’s possible some of that same trust will transfer to you if that company’s respect is reciprocated. Additionally, if you collaborate, you’re getting your brand name in front of a new audience.

So, think about which brands it makes sense to collaborate with. There are ways to do this outside of content marketing, like referral programs, but there are content-specific ways to work together, too.

This is an amazing example from Auntie Anne’s and Samuel Adams, who teamed up to create an at-home Oktoberfest kit, complete with Samuel Adams Octoberfest beer, Auntie Anne's DIY Pretzel Kit, recipe book, a "Prost from Home" playlist you can stream, and more.

This isn’t purely a content strategy, but you can see the overlap between product and building more of an experience. People who love and count on Auntie Anne’s pretzels are exposed to Samuel Adams and vice versa. Through a collaboration like this, fans of one have the potential to become fans of the other, as you can see in this review:

This is a more fun example, but you can also execute a collaboration based on studies and surveys by partnering with organizations interested in answering the same questions or solving the same problems as your brand.

How to execute this strategy: Brainstorm which brands you may have a natural alignment in objectives or values with. How can you work together to provide something of value to both of your audiences?

6. Give away some of your secrets

This can be scary for a lot of marketers and especially for the C-suite. Why should you give away what makes you great?

It’s a valid question, and it won’t always apply. But in some cases, especially for service-based businesses, sharing information and breaking down exactly how you achieve that greatness can actually build trust.

Marcus Sheridan has a wonderful example of this. When my colleague attended Inbound last year, she was impressed by Marcus’s presentation in which he described a single blog post that earned him $2 million in sales. (Heidi Cohen has a great write up about it.)

Why did it work? Because he shared information no one else wanted to share: the actual cost of a fiberglass pool. Rather than hiding the information and revealing it later in the sales process, he was forthright and answered the question people wanted the answer to. Clearly this strategy paid off.

We use the same philosophy at Fractl, explaining exactly how we go about doing our work and building our clients links and brand awareness. There are process details we haven’t disclosed, but all and all, we’ve been very transparent about how we operate, and it’s worked well for us.

In fact, people still recall an Experts on the Wire podcast interview with Kerry Jones, our previous marketing director, in which she walked through our strategies. I’ve had marketing folks tell me that this is how they heard about Fractl in the first place. Years later, it’s still featured on the podcast’s main page:

People appreciate when you’re open and honest. In our case, even if people knew our strategy, clients often partner with us because they don’t have the bandwidth to execute the strategy at scale, as it requires a lot of time and resources. So by knowing how we work, they can trust us to handle it for them.

How to execute this strategy: Consider what information you have that you can share, even if (sometimes especially if) your competitors haven’t shared it. You can leave a big impression of you’re open about your industry in a way others aren’t. Of course, don’t do something that will jeopardize your company, but consider the question and see what might make sense.

Conclusion

The very act of investing in content marketing is a big step in building more brand authority. By creating content that’s beneficial for your audience, you’re demonstrating your own knowledge and utilizing your expertise.

By continuing to build on your strategy with the above tactics, you can greatly improve the chances your audience will not only remember your brand, but begin to trust your brand. Additionally, it’s likely the Google algorithm will recognize your authority, as well, especially after building an impressive link portfolio, and your results will rise in the SERP ranks.

Good luck amplifying your strategy, and don’t hesitate to reach out if you have any questions!

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!

How Do Sessions Work in Google Analytics? — Best of Whiteboard Friday

Posted by Tom.Capper

Google Analytics data is used to support tons of important work, ranging from our everyday marketing reporting, all the way to investment decisions. To that end, it's integral that we're aware of just how that data works. In this Best of Whiteboard Friday edition, Tom Capper explains how the sessions metric in Google Analytics works, several ways that it can have unexpected results, and as a bonus, how sessions affect the time on page metric (and why you should rethink using time on page for reporting).

Editor’s note: Tom Capper is now an independent SEO consultant. This video is from 2018, but the same principles hold up today. There is only one minor caveat: the words "user" and "browser" are used interchangeably early in the video, which still hold mostly true. Google is trying to further push multi-device users as a concept with Google Analytics 4, but still relies on users being logged in, as well as extra tracking setup. For most sites most of the time, neither of these conditions hold.

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

Video Transcription

Hello, Moz fans, and welcome to another edition of Whiteboard Friday. I am Tom Capper. I am a consultant at Distilled, and today I'm going to be talking to you about how sessions work in Google Analytics. Obviously, all of us use Google Analytics. Pretty much all of us use Google Analytics in our day-to-day work.

Data from the platform is used these days in everything from investment decisions to press reporting to the actual marketing that we use it for. So it's important to understand the basic building blocks of these platforms. Up here I've got the absolute basics. So in the blue squares I've got hits being sent to Google Analytics.

So when you first put Google Analytics on your site, you get that bit of tracking code, you put it on every page, and what that means is when someone loads the page, it sends a page view. So those are the ones I've marked P. So we've got page view and page view and so on as you're going around the site. I've also got events with an E and transactions with a T. Those are two other hit types that you might have added.

The job of Google Analytics is to take all this hit data that you're sending it and try and bring it together into something that actually makes sense as sessions. So they're grouped into sessions that I've put in black, and then if you have multiple sessions from the same browser, then that would be a user that I've marked in pink. The issue here is it's kind of arbitrary how you divide these up.

These eight hits could be one long session. They could be eight tiny ones or anything in between. So I want to talk today about the different ways that Google Analytics will actually split up those hit types into sessions. So over here I've got some examples I'm going to go through. But first I'm going to go through a real-world example of a brick-and-mortar store, because I think that's what they're trying to emulate, and it kind of makes more sense with that context.

Brick-and-mortar example

So in this example, say a supermarket, we enter by a passing trade. That's going to be our source. Then we've got an entrance is in the lobby of the supermarket when we walk in. We got passed from there to the beer aisle to the cashier, or at least I do. So that's one big, long session with the source passing trade. That makes sense.

In the case of a brick-and-mortar store, it's not to difficult to divide that up and try and decide how many sessions are going on here. There's not really any ambiguity. In the case of websites, when you have people leaving their keyboard for a while or leaving the computer on while they go on holiday or just having the same computer over a period of time, it becomes harder to divide things up, because you don't know when people are actually coming and going.

So what they've tried to do is in the very basic case something quite similar: arrive by Google, category page, product page, checkout. Great. We've got one long session, and the source is Google. Okay, so what are the different ways that that might go wrong or that that might get divided up?

Several things that can change the meaning of a session

1. Time zone

The first and possibly most annoying one, although it doesn't tend to be a huge issue for some sites, is whatever time zone you've set in your Google Analytics settings, the midnight in that time zone can break up a session. So say we've got midnight here. This is 12:00 at night, and we happen to be browsing. We're doing some shopping quite late.

Because Google Analytics won't allow a session to have two dates, this is going to be one session with the source Google, and this is going to be one session and the source will be this page. So this is a self-referral unless you've chosen to exclude that in your settings. So not necessarily hugely helpful.

2. Half-hour cutoff for "coffee breaks"

Another thing that can happen is you might go and make a cup of coffee. So ideally if you went and had a cup of coffee while in you're in Tesco or a supermarket that's popular in whatever country you're from, you might want to consider that one long session. Google has made the executive decision that we're actually going to have a cutoff of half an hour by default.

If you leave for half an hour, then again you've got two sessions. One, the category page is the landing page and the source of Google, and one in this case where the blog is the landing page, and this would be another self-referral, because when you come back after your coffee break, you're going to click through from here to here. This time period, the 30 minutes, that is actually adjustable in your settings, but most people do just leave it as it is, and there isn't really an obvious number that would make this always correct either. It's kind of, like I said earlier, an arbitrary distinction.

3. Leaving the site and coming back

The next issue I want to talk about is if you leave the site and come back. So obviously it makes sense that if you enter the site from Google, browse for a bit, and then enter again from Bing, you might want to count that as two different sessions with two different sources. However, where this gets a little murky is with things like external payment providers.

If you had to click through from the category page to PayPal to the checkout, then unless PayPal is excluded from your referral list, then this would be one session, entrance from Google, one session, entrance from checkout. The last issue I want to talk about is not necessarily a way that sessions are divided, but a quirk of how they are.

4. Return direct sessions

If you were to enter by Google to the category page, go on holiday and then use a bookmark or something or just type in the URL to come back, then obviously this is going to be two different sessions. You would hope that it would be one session from Google and one session from direct. That would make sense, right?

But instead, what actually happens is that, because Google and most Google Analytics and most of its reports uses last non-direct click, we pass through that source all the way over here, so you've got two sessions from Google. Again, you can change this timeout period. So that's some ways that sessions work that you might not expect.

As a bonus, I want to give you some extra information about how this affects a certain metric, mainly because I want to persuade you to stop using it, and that metric is time on page.

Bonus: Three scenarios where this affects time on page

So I've got three different scenarios here that I want to talk you through, and we'll see how the time on page metric works out.

I want you to bear in mind that, basically, because Google Analytics really has very little data to work with typically, they only know that you've landed on a page, and that sent a page view and then potentially nothing else. If you were to have a single page visit to a site, or a bounce in other words, then they don't know whether you were on that page for 10 seconds or the rest of your life.

They've got no further data to work with. So what they do is they say, "Okay, we're not going to include that in our average time on page metrics." So we've got the formula of time divided by views minus exits. However, this fudge has some really unfortunate consequences. So let's talk through these scenarios.

Example 1: Intuitive time on page = actual time on page

In the first scenario, I arrive on the page. It sends a page view. Great. Ten seconds later I trigger some kind of event that the site has added. Twenty seconds later I click through to the next page on the site. In this case, everything is working as intended in a sense, because there's a next page on the site, so Google Analytics has that extra data of another page view 20 seconds after the first one. So they know that I was on here for 20 seconds.

In this case, the intuitive time on page is 20 seconds, and the actual time on page is also 20 seconds. Great.

Example 2: Intuitive time on page is higher than measured time on page

However, let's think about this next example. We've got a page view, event 10 seconds later, except this time instead of clicking somewhere else on the site, I'm going to just leave altogether. So there's no data available, but Google Analytics knows we're here for 10 seconds.

So the intuitive time on page here is still 20 seconds. That's how long I actually spent looking at the page. But the measured time or the reported time is going to be 10 seconds.

Example 3: Measured time on page is zero

The last example, I browse for 20 seconds. I leave. I haven't triggered an event. So we've got an intuitive time on page of 20 seconds and an actual time on page or a measured time on page of 0.

The interesting bit is when we then come to calculate the average time on page for this page that appeared here, here, and here, you would initially hope it would be 20 seconds, because that's how long we actually spent. But your next guess, when you look at the reported or the available data that Google Analytics has in terms of how long we're on these pages, the average of these three numbers would be 10 seconds.

So that would make some sense. What they actually do, because of this formula, is they end up with 30 seconds. So you've got the total time here, which is 30, divided by the number of views, we've got 3 views, minus 2 exits. Thirty divided 3 minus 2, 30 divided by 1, so we've got 30 seconds as the average across these 3 sessions.

Well, the average across these three page views, sorry, for the amount of time we're spending, and that is longer than any of them, and it doesn't make any sense with the constituent data. So that's just one final tip to please not use average time on page as a reporting metric.

I hope that's all been useful to you. I'd love to hear what you think in the comments below. Thanks.

Video transcription by Speechpad.com

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!

Posted by Tom.Capper

Google Analytics data is used to support tons of important work, ranging from our everyday marketing reporting, all the way to investment decisions. To that end, it's integral that we're aware of just how that data works. In this Best of Whiteboard Friday edition, Tom Capper explains how the sessions metric in Google Analytics works, several ways that it can have unexpected results, and as a bonus, how sessions affect the time on page metric (and why you should rethink using time on page for reporting).

Editor’s note: Tom Capper is now an independent SEO consultant. This video is from 2018, but the same principles hold up today. There is only one minor caveat: the words "user" and "browser" are used interchangeably early in the video, which still hold mostly true. Google is trying to further push multi-device users as a concept with Google Analytics 4, but still relies on users being logged in, as well as extra tracking setup. For most sites most of the time, neither of these conditions hold.

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

Video Transcription

Hello, Moz fans, and welcome to another edition of Whiteboard Friday. I am Tom Capper. I am a consultant at Distilled, and today I'm going to be talking to you about how sessions work in Google Analytics. Obviously, all of us use Google Analytics. Pretty much all of us use Google Analytics in our day-to-day work.

Data from the platform is used these days in everything from investment decisions to press reporting to the actual marketing that we use it for. So it's important to understand the basic building blocks of these platforms. Up here I've got the absolute basics. So in the blue squares I've got hits being sent to Google Analytics.

So when you first put Google Analytics on your site, you get that bit of tracking code, you put it on every page, and what that means is when someone loads the page, it sends a page view. So those are the ones I've marked P. So we've got page view and page view and so on as you're going around the site. I've also got events with an E and transactions with a T. Those are two other hit types that you might have added.

The job of Google Analytics is to take all this hit data that you're sending it and try and bring it together into something that actually makes sense as sessions. So they're grouped into sessions that I've put in black, and then if you have multiple sessions from the same browser, then that would be a user that I've marked in pink. The issue here is it's kind of arbitrary how you divide these up.

These eight hits could be one long session. They could be eight tiny ones or anything in between. So I want to talk today about the different ways that Google Analytics will actually split up those hit types into sessions. So over here I've got some examples I'm going to go through. But first I'm going to go through a real-world example of a brick-and-mortar store, because I think that's what they're trying to emulate, and it kind of makes more sense with that context.

Brick-and-mortar example

So in this example, say a supermarket, we enter by a passing trade. That's going to be our source. Then we've got an entrance is in the lobby of the supermarket when we walk in. We got passed from there to the beer aisle to the cashier, or at least I do. So that's one big, long session with the source passing trade. That makes sense.

In the case of a brick-and-mortar store, it's not to difficult to divide that up and try and decide how many sessions are going on here. There's not really any ambiguity. In the case of websites, when you have people leaving their keyboard for a while or leaving the computer on while they go on holiday or just having the same computer over a period of time, it becomes harder to divide things up, because you don't know when people are actually coming and going.

So what they've tried to do is in the very basic case something quite similar: arrive by Google, category page, product page, checkout. Great. We've got one long session, and the source is Google. Okay, so what are the different ways that that might go wrong or that that might get divided up?

Several things that can change the meaning of a session

1. Time zone

The first and possibly most annoying one, although it doesn't tend to be a huge issue for some sites, is whatever time zone you've set in your Google Analytics settings, the midnight in that time zone can break up a session. So say we've got midnight here. This is 12:00 at night, and we happen to be browsing. We're doing some shopping quite late.

Because Google Analytics won't allow a session to have two dates, this is going to be one session with the source Google, and this is going to be one session and the source will be this page. So this is a self-referral unless you've chosen to exclude that in your settings. So not necessarily hugely helpful.

2. Half-hour cutoff for "coffee breaks"

Another thing that can happen is you might go and make a cup of coffee. So ideally if you went and had a cup of coffee while in you're in Tesco or a supermarket that's popular in whatever country you're from, you might want to consider that one long session. Google has made the executive decision that we're actually going to have a cutoff of half an hour by default.

If you leave for half an hour, then again you've got two sessions. One, the category page is the landing page and the source of Google, and one in this case where the blog is the landing page, and this would be another self-referral, because when you come back after your coffee break, you're going to click through from here to here. This time period, the 30 minutes, that is actually adjustable in your settings, but most people do just leave it as it is, and there isn't really an obvious number that would make this always correct either. It's kind of, like I said earlier, an arbitrary distinction.

3. Leaving the site and coming back

The next issue I want to talk about is if you leave the site and come back. So obviously it makes sense that if you enter the site from Google, browse for a bit, and then enter again from Bing, you might want to count that as two different sessions with two different sources. However, where this gets a little murky is with things like external payment providers.

If you had to click through from the category page to PayPal to the checkout, then unless PayPal is excluded from your referral list, then this would be one session, entrance from Google, one session, entrance from checkout. The last issue I want to talk about is not necessarily a way that sessions are divided, but a quirk of how they are.

4. Return direct sessions

If you were to enter by Google to the category page, go on holiday and then use a bookmark or something or just type in the URL to come back, then obviously this is going to be two different sessions. You would hope that it would be one session from Google and one session from direct. That would make sense, right?

But instead, what actually happens is that, because Google and most Google Analytics and most of its reports uses last non-direct click, we pass through that source all the way over here, so you've got two sessions from Google. Again, you can change this timeout period. So that's some ways that sessions work that you might not expect.

As a bonus, I want to give you some extra information about how this affects a certain metric, mainly because I want to persuade you to stop using it, and that metric is time on page.

Bonus: Three scenarios where this affects time on page

So I've got three different scenarios here that I want to talk you through, and we'll see how the time on page metric works out.

I want you to bear in mind that, basically, because Google Analytics really has very little data to work with typically, they only know that you've landed on a page, and that sent a page view and then potentially nothing else. If you were to have a single page visit to a site, or a bounce in other words, then they don't know whether you were on that page for 10 seconds or the rest of your life.

They've got no further data to work with. So what they do is they say, "Okay, we're not going to include that in our average time on page metrics." So we've got the formula of time divided by views minus exits. However, this fudge has some really unfortunate consequences. So let's talk through these scenarios.

Example 1: Intuitive time on page = actual time on page

In the first scenario, I arrive on the page. It sends a page view. Great. Ten seconds later I trigger some kind of event that the site has added. Twenty seconds later I click through to the next page on the site. In this case, everything is working as intended in a sense, because there's a next page on the site, so Google Analytics has that extra data of another page view 20 seconds after the first one. So they know that I was on here for 20 seconds.

In this case, the intuitive time on page is 20 seconds, and the actual time on page is also 20 seconds. Great.

Example 2: Intuitive time on page is higher than measured time on page

However, let's think about this next example. We've got a page view, event 10 seconds later, except this time instead of clicking somewhere else on the site, I'm going to just leave altogether. So there's no data available, but Google Analytics knows we're here for 10 seconds.

So the intuitive time on page here is still 20 seconds. That's how long I actually spent looking at the page. But the measured time or the reported time is going to be 10 seconds.

Example 3: Measured time on page is zero

The last example, I browse for 20 seconds. I leave. I haven't triggered an event. So we've got an intuitive time on page of 20 seconds and an actual time on page or a measured time on page of 0.

The interesting bit is when we then come to calculate the average time on page for this page that appeared here, here, and here, you would initially hope it would be 20 seconds, because that's how long we actually spent. But your next guess, when you look at the reported or the available data that Google Analytics has in terms of how long we're on these pages, the average of these three numbers would be 10 seconds.

So that would make some sense. What they actually do, because of this formula, is they end up with 30 seconds. So you've got the total time here, which is 30, divided by the number of views, we've got 3 views, minus 2 exits. Thirty divided 3 minus 2, 30 divided by 1, so we've got 30 seconds as the average across these 3 sessions.

Well, the average across these three page views, sorry, for the amount of time we're spending, and that is longer than any of them, and it doesn't make any sense with the constituent data. So that's just one final tip to please not use average time on page as a reporting metric.

I hope that's all been useful to you. I'd love to hear what you think in the comments below. Thanks.

Video transcription by Speechpad.com

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!

Location Data + Reviews: The 1–2 Punch of Local SEO (Updated for 2020)

Posted by MiriamEllis

Get found. Get chosen.

It’s the local SEO two-step at the heart of every campaign. It’s the 1-2 punch combo that hinges on a balance of visible, accurate contact data, and a volunteer salesforce of consumer reviewers who are supporting your rise to local prominence.

But here’s the thing: while managed location data and reviews may be of equal and complementary power, they shouldn’t require an equal share of your time.

Automation of basic business data distribution is the key to freeing you up to focus on the elements of listings that require human ingenuity — namely, reviews and other listings-based content like posts and Q&A.

It’s my hope that sharing this article with your team or your boss will help you get the financial allocations you need for automated listings management, plus generous resources for creative reputation management.

Location data + reviews = the big picture

When Google lists a business, it gives good space to the business name, and a varying degree of space to the address and phone number. But look at the real estate occupied by the various aspects associated with reputation:

If Google cares this much about ratings, review text, responses, and emerging elements like place topics and attributes, any local brand you’re marketing should see these factors as a priority. In this article, I’ll strive to codify your actionable perspective on managing both location data and the many aspects of reviews.

Ratings: The most powerful local filter of them all

In the local SEO industry, we talk a lot about Google’s filters, like the Possum filter that’s supposed to strain local businesses through a sort of sieve so that a greater diversity of mapped results is shown to the searcher. But searchers have an even more powerful filter than this — the human-driven filter of ratings that helps people intuitively sort local brands by perceived quality.

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.

This useful, rapid form of shorthand lets a searcher needing to do something like grab a quick taco see that the food truck with five Yelp stars is likely a better bet than the one with only two. Meanwhile, searchers with more complex needs can comb through the ratings of many listings at leisure, carefully weighing one option against another for major purchases. In Google’s local results, ratings are the most powerful human-created filter that influences the major goal of being chosen.

But before a local brand can be chosen on the basis of its high ratings, it has to rank well enough to be found. The good news is that, over the past three years, expert local SEOs have become increasingly convinced of the impact of Google ratings on Google local pack rankings. In 2017, when I wrote the original version of this post, contributors to the Local Search Ranking Factors survey placed Google star ratings down at #24 in terms of local rankings influence. In 2020, this metric has jumped up to spot #8 — a leap of 16 spots in just three years.

In the interim, Google has been experimenting with different ratings-related displays. In 2017, they were testing the application of a “highly rated” snippet on hotel rankings in the local packs. Today, their complex hotel results let the user opt to see only 4+ star results. Meanwhile, local SEOs have noticed patterns over the years like searches with the format of “best X in city” (e.g. best burrito in Dallas) appearing to default to local results made up of businesses that have earned a minimum average of four stars. Doubtless, observations like these have strengthened experts’ convictions that Google cares a lot about ratings and allows them to influence rank.

Heading into 2021, any local brand with goals of being found and chosen must view low ratings as an impediment to reaching full growth potential.

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

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

We’ve just covered the topic of 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 brand story its consumers are writing, as you would in conducting a professional review audit for a local business, excerpting dominant sentiment:

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 been denied the training they need to represent the brand in a knowledgeable, friendly, or accessible manner. If you audited a different business, its pain points might surround 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 up to 11% of consumers will do business with a brand that’s wound up with a 2-star rating based on poor reviews. Who can afford to let the other 91% of consumers go elsewhere?

The central goal of being chosen hinges on recognizing that your reviewer base is a massive, unpaid salesforce that tells your brand story. Survey after survey consistently finds that people trust reviews — in fact, they may trust them more than any claim your brand can make about itself.

Going into 2021, the writing is on the wall that Google cares a great deal about themes surfacing in your reviews. The ongoing development and display of place topics and attributes signifies Google’s increasing interest in parsing sentiment, and doubtless, using such data to determine relevance.

Fully embracing review management and the total local customer service ecosystem is key to giving customers a positive tale to tell, enabling the business you’re marketing to be trusted and chosen for the maximum number of transactions.

Velocity/recency/count: Just enough of a timely good thing to be competitive

This is one of the easiest aspects of review management to convey. 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. Multiple surveys indicate that the largest percentage of review readers consider content from the past month to be most relevant. Despite this, Google’s index is filled with local brands that haven’t been reviewed in over a year, leaving searchers to wonder if a place is still in business, or if it’s 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.

And finally, a local SEO FAQ comes from business owners who want to know how many reviews they need to earn. There’s no magic number, but the rule of thumb is that you need to earn more reviews than the top competitor you are trying to outrank for each of your search terms. This varies from keyword phrase, to keyword phrase, from city to city, from vertical to vertical. The best approach is steady growth of reviews to surpass whatever number the top competitor has earned.

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 often recall a basic review audit I did for a family-owned restaurant belonging to 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, or even subjected to a lawsuit, if caught.

In such a scenario, there’s definitely an 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’s reporting on this has set a high bar in the industry, with coverage of developments like the largest review spam network he’d ever encountered. 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. Beyond reporting review spam, one of the best things we can do as marketers is to offer ethical clients the education that helps them make honest choices. We can simply pose the question:

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

Local brands that choose to take the high road must avoid:

• Any form of review incentives or spam
• Review gating that filters consumers so that only happy ones leave reviews
• Violations of the review guidelines specific to each review platform

Owner responses: creatively turning reviews into two-way conversations

Over the years, I’ve devoted abundant space in my column here at Moz to the fascinating topic of owner responses. I’ve highlighted the five types of Google My Business reviews and how to respond to them, I’ve diagrammed a real-world example of how a terrible owner response can make a bad situation even worse, and I’ve studied basic reputation management for better customer service and how to get unhappy customers to edit their negative reviews.

My key learnings from nearly two decades of examining reviews and responses are these:

• Review responses are a critical form of customer service that can’t be ignored any more than business staff should ignore in-person customers asking for face-to-face help. Many reviewers expect responses.
• The number of local business listings in every industry with zero owner responses on them is totally shocking.
• Negative reviews, when fairly given, are a priceless form of free quality control for the brand. Customers directly tell the brand which problems need to be fixed to make them happy.
• Many reviewers think of their reviews as living documents, and update them to reflect subsequent experiences.
• Many reviewers are more than happy to give brands a second chance when a problem is resolved.
• Positive reviews are conversations starters warmly inviting a response that further engages the customer and can convince them that the brand deserves repeat business.

Local brands and agencies can use software to automate updating a phone number or hours of operation. Software like Moz Local can be of real help in alerting you to new, incoming reviews across multiple platforms, or surfacing the top sentiment themes within your review corpus.

Tools free up resources to manage what can’t be automated: human creativity. It takes serious creative resources to spend time with review sentiment and respond to customers in a way that makes a brand stand out as responsive and worthy. It takes time to fully utilize the opportunities owner responses represent to impact goals all the way from the top to the bottom of the sales funnel.

I’ve never forgotten a piece Florian Huebner wrote for StreetFight documenting the neglected reviews of a major fast food chain and its subsequent increase in location closures and decrease in profits. No one was taking the time to sit down with the reviews, listen, fix problems customers were citing, or offer proofs of caring resolution via owner responses.

And all too often, when brands large and small do respond to reviews, they take a corporate-speak stance equivalent to “whistling past the graveyard” when addressing complaints. To keep the customer and to signal to the public that the brand deserves to be chosen, creative resources must be allocated to providing gutsy, honest owner responses. It’s easy to spot the difference:

The response in yellow signals that the brand simply isn’t invested in customer retention. By contrast, the response in blue is a sample of what it takes to have a real conversation with a real person on the other side of the review text, in hopes of transforming one bad initial experience into a second chance, and hopefully, a lifetime of loyalty.

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

Right now, there’s an employee at a local business or a staffer at an agency who is looking at the review corpus of a brand that’s struggling for rankings and profits. The set of reviews contains mixed sentiment, and no one is responding to either positive or negative customer experiences.

Maybe this is an issue that’s been brought up from time to time in company meetings, but it’s never made it to priority status. Decision-makers have felt that time and budget are better spent elsewhere.

Meanwhile, customers are quietly trickling away for lack of attention, leads are being missed, structural issues are being ignored…

If the employee or staffer I’m describing is you, my best advice is to make 2021 the year you make your strongest case for automating listing distribution and management with software so that creative resources can be dedicated to full reputation management.

Local SEO experts, your customers and clients, and Google, itself, are all indicating that location data + reviews are highly impactful and here to stay. In fact, history proves that this combination is deeply embedded in our entire approach to local commerce.

When traveling salesman Duncan Hines first published his 1935 review guide Adventures in Good Eating, he was developing 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 anyone who has ever tackled local business listings management:

No phone number on this “citation,” of course, but 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.

From Duncan Hines to the digital age, there may be nothing new under the sun in marketing, but striking the right pose between listings and reputation management may be new news to your CEO, your teammates, or clients. So go for it — communicate this stuff, and good luck at your next big meeting!

Check out the new Moz Local plans that let you take care of location data distribution in seconds so that the balance of your focus can be on creatively caring for the customer.

New Moz Local Plans

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!

Posted by MiriamEllis

Get found. Get chosen.

It’s the local SEO two-step at the heart of every campaign. It’s the 1-2 punch combo that hinges on a balance of visible, accurate contact data, and a volunteer salesforce of consumer reviewers who are supporting your rise to local prominence.

But here’s the thing: while managed location data and reviews may be of equal and complementary power, they shouldn’t require an equal share of your time.

Automation of basic business data distribution is the key to freeing you up to focus on the elements of listings that require human ingenuity — namely, reviews and other listings-based content like posts and Q&A.

It’s my hope that sharing this article with your team or your boss will help you get the financial allocations you need for automated listings management, plus generous resources for creative reputation management.

Location data + reviews = the big picture

When Google lists a business, it gives good space to the business name, and a varying degree of space to the address and phone number. But look at the real estate occupied by the various aspects associated with reputation:

If Google cares this much about ratings, review text, responses, and emerging elements like place topics and attributes, any local brand you’re marketing should see these factors as a priority. In this article, I’ll strive to codify your actionable perspective on managing both location data and the many aspects of reviews.

Ratings: The most powerful local filter of them all

In the local SEO industry, we talk a lot about Google’s filters, like the Possum filter that’s supposed to strain local businesses through a sort of sieve so that a greater diversity of mapped results is shown to the searcher. But searchers have an even more powerful filter than this — the human-driven filter of ratings that helps people intuitively sort local brands by perceived quality.

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.

This useful, rapid form of shorthand lets a searcher needing to do something like grab a quick taco see that the food truck with five Yelp stars is likely a better bet than the one with only two. Meanwhile, searchers with more complex needs can comb through the ratings of many listings at leisure, carefully weighing one option against another for major purchases. In Google’s local results, ratings are the most powerful human-created filter that influences the major goal of being chosen.

But before a local brand can be chosen on the basis of its high ratings, it has to rank well enough to be found. The good news is that, over the past three years, expert local SEOs have become increasingly convinced of the impact of Google ratings on Google local pack rankings. In 2017, when I wrote the original version of this post, contributors to the Local Search Ranking Factors survey placed Google star ratings down at #24 in terms of local rankings influence. In 2020, this metric has jumped up to spot #8 — a leap of 16 spots in just three years.

In the interim, Google has been experimenting with different ratings-related displays. In 2017, they were testing the application of a “highly rated” snippet on hotel rankings in the local packs. Today, their complex hotel results let the user opt to see only 4+ star results. Meanwhile, local SEOs have noticed patterns over the years like searches with the format of “best X in city” (e.g. best burrito in Dallas) appearing to default to local results made up of businesses that have earned a minimum average of four stars. Doubtless, observations like these have strengthened experts’ convictions that Google cares a lot about ratings and allows them to influence rank.

Heading into 2021, any local brand with goals of being found and chosen must view low ratings as an impediment to reaching full growth potential.

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

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

We’ve just covered the topic of 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 brand story its consumers are writing, as you would in conducting a professional review audit for a local business, excerpting dominant sentiment:

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 been denied the training they need to represent the brand in a knowledgeable, friendly, or accessible manner. If you audited a different business, its pain points might surround 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 up to 11% of consumers will do business with a brand that’s wound up with a 2-star rating based on poor reviews. Who can afford to let the other 91% of consumers go elsewhere?

The central goal of being chosen hinges on recognizing that your reviewer base is a massive, unpaid salesforce that tells your brand story. Survey after survey consistently finds that people trust reviews — in fact, they may trust them more than any claim your brand can make about itself.

Going into 2021, the writing is on the wall that Google cares a great deal about themes surfacing in your reviews. The ongoing development and display of place topics and attributes signifies Google’s increasing interest in parsing sentiment, and doubtless, using such data to determine relevance.

Fully embracing review management and the total local customer service ecosystem is key to giving customers a positive tale to tell, enabling the business you’re marketing to be trusted and chosen for the maximum number of transactions.

Velocity/recency/count: Just enough of a timely good thing to be competitive

This is one of the easiest aspects of review management to convey. 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. Multiple surveys indicate that the largest percentage of review readers consider content from the past month to be most relevant. Despite this, Google’s index is filled with local brands that haven’t been reviewed in over a year, leaving searchers to wonder if a place is still in business, or if it’s 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.

And finally, a local SEO FAQ comes from business owners who want to know how many reviews they need to earn. There’s no magic number, but the rule of thumb is that you need to earn more reviews than the top competitor you are trying to outrank for each of your search terms. This varies from keyword phrase, to keyword phrase, from city to city, from vertical to vertical. The best approach is steady growth of reviews to surpass whatever number the top competitor has earned.

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 often recall a basic review audit I did for a family-owned restaurant belonging to 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, or even subjected to a lawsuit, if caught.

In such a scenario, there’s definitely an 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’s reporting on this has set a high bar in the industry, with coverage of developments like the largest review spam network he’d ever encountered. 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. Beyond reporting review spam, one of the best things we can do as marketers is to offer ethical clients the education that helps them make honest choices. We can simply pose the question:

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

Local brands that choose to take the high road must avoid:

• Any form of review incentives or spam
• Review gating that filters consumers so that only happy ones leave reviews
• Violations of the review guidelines specific to each review platform

Owner responses: creatively turning reviews into two-way conversations

Over the years, I’ve devoted abundant space in my column here at Moz to the fascinating topic of owner responses. I’ve highlighted the five types of Google My Business reviews and how to respond to them, I’ve diagrammed a real-world example of how a terrible owner response can make a bad situation even worse, and I’ve studied basic reputation management for better customer service and how to get unhappy customers to edit their negative reviews.

My key learnings from nearly two decades of examining reviews and responses are these:

• Review responses are a critical form of customer service that can’t be ignored any more than business staff should ignore in-person customers asking for face-to-face help. Many reviewers expect responses.
• The number of local business listings in every industry with zero owner responses on them is totally shocking.
• Negative reviews, when fairly given, are a priceless form of free quality control for the brand. Customers directly tell the brand which problems need to be fixed to make them happy.
• Many reviewers think of their reviews as living documents, and update them to reflect subsequent experiences.
• Many reviewers are more than happy to give brands a second chance when a problem is resolved.
• Positive reviews are conversations starters warmly inviting a response that further engages the customer and can convince them that the brand deserves repeat business.

Local brands and agencies can use software to automate updating a phone number or hours of operation. Software like Moz Local can be of real help in alerting you to new, incoming reviews across multiple platforms, or surfacing the top sentiment themes within your review corpus.

Tools free up resources to manage what can’t be automated: human creativity. It takes serious creative resources to spend time with review sentiment and respond to customers in a way that makes a brand stand out as responsive and worthy. It takes time to fully utilize the opportunities owner responses represent to impact goals all the way from the top to the bottom of the sales funnel.

I’ve never forgotten a piece Florian Huebner wrote for StreetFight documenting the neglected reviews of a major fast food chain and its subsequent increase in location closures and decrease in profits. No one was taking the time to sit down with the reviews, listen, fix problems customers were citing, or offer proofs of caring resolution via owner responses.

And all too often, when brands large and small do respond to reviews, they take a corporate-speak stance equivalent to “whistling past the graveyard” when addressing complaints. To keep the customer and to signal to the public that the brand deserves to be chosen, creative resources must be allocated to providing gutsy, honest owner responses. It’s easy to spot the difference:

The response in yellow signals that the brand simply isn’t invested in customer retention. By contrast, the response in blue is a sample of what it takes to have a real conversation with a real person on the other side of the review text, in hopes of transforming one bad initial experience into a second chance, and hopefully, a lifetime of loyalty.

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

Right now, there’s an employee at a local business or a staffer at an agency who is looking at the review corpus of a brand that’s struggling for rankings and profits. The set of reviews contains mixed sentiment, and no one is responding to either positive or negative customer experiences.

Maybe this is an issue that’s been brought up from time to time in company meetings, but it’s never made it to priority status. Decision-makers have felt that time and budget are better spent elsewhere.

Meanwhile, customers are quietly trickling away for lack of attention, leads are being missed, structural issues are being ignored…

If the employee or staffer I’m describing is you, my best advice is to make 2021 the year you make your strongest case for automating listing distribution and management with software so that creative resources can be dedicated to full reputation management.

Local SEO experts, your customers and clients, and Google, itself, are all indicating that location data + reviews are highly impactful and here to stay. In fact, history proves that this combination is deeply embedded in our entire approach to local commerce.

When traveling salesman Duncan Hines first published his 1935 review guide Adventures in Good Eating, he was developing 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 anyone who has ever tackled local business listings management:

No phone number on this “citation,” of course, but 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.

From Duncan Hines to the digital age, there may be nothing new under the sun in marketing, but striking the right pose between listings and reputation management may be new news to your CEO, your teammates, or clients. So go for it — communicate this stuff, and good luck at your next big meeting!

Check out the new Moz Local plans that let you take care of location data distribution in seconds so that the balance of your focus can be on creatively caring for the customer.

New Moz Local Plans

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!