Selasa, 28 Februari 2017

How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)

How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)
How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)
How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)
How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)
How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)
How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)
How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)
How to Create Content That Keeps Earning Links (Even After You Stop Promoting It)

Posted by kerryjones

Do your link building results look something like this?

  1. Start doing outreach
  2. Get links
  3. Stop doing outreach
  4. No more links

Everyone talks about the long-term benefits of using content marketing as part of a link building strategy. But without the right type of content, your experience may be that you stop earning links as soon as you stop doing outreach.

In this sense, you have to keep putting gas in the car for it to keep running (marketing “gas” = time, effort, and resources). But what if there was a way to fill up the car once, and that would give it enough momentum to run for months or even years?

An example of this is a salary negotiations survey we published last year on Harvard Business Review. The study was picked up by TechCrunch months after we had finished actively promoting it. We didn’t reach out to TechCrunch. Rather, this writer presumably stumbled upon our content while doing research for his article.

techcrunch-link.png

So what’s the key to long-term links? Content that acts as a source.

The goal is to create something that people will find and link to when they’re in need of sources to cite in content they are creating. Writers constantly seek out sources that will back up their claims, strengthen an argument, or provide further context for readers. If your content can serve as a citation, you can be in a good position to earn a lot of passive links.

Read on for information about which content types are most likely to satisfy people in need of sources and tips on how to execute these content types yourself.

Original research and new data

Content featuring new research can be extremely powerful for building authoritative links via a PR outreach strategy.

A lot of the content we create for our clients falls under this category, but not every single link that our client campaigns earn are directly a result of us doing outreach.

In many cases, a large number of links to our client research campaigns earn come from what we call syndication. This is what typically plays out when we get a client’s campaign featured on a popular, authoritative site (which is Site A in the following scenario):

  • Send content pitch to Site A.
  • Site A publishes article linking to content.
  • Site B sees content featured on Site A. Site B publishes article linking to content.
  • Site C sees content featured on Site A. Site C publishes article linking to content.
  • And so on…

So, what does this have to do with long-term link earning? Once the content is strategically seeded on relevant sites using outreach and syndication, it is well-positioned to be found by other publishers.

Site A’s content functions as the perfect citation for these additional publishers because it’s the original source of the newsworthy information, establishing it as the authority and thus making it more likely to be linked to. (This is what happened in the TechCrunch example I shared above.)

Examples

In a recent Experts on the Wire podcast, guest Andy Crestodina talked about the “missing stat.” According to Andy, most industries have “commonly asserted, but rarely supported” statements. These “stats” are begging for someone to conduct research that will confirm or debunk them. (Side note: this particular podcast episode inspired this post – definitely worth a listen!)

To find examples of content that uncovers a missing stat in the wild, we can look right here on the Moz blog…

Confirming industry assumptions

When we did our native advertising versus content marketing study, we went into it with a hypothesis that many fellow marketers would agree with: Content marketing campaigns perform better than native advertising campaigns.

This was a missing stat; there hadn’t been any studies done proving or debunking this assumption. Furthermore, there wasn’t any publicly available data about the average number of links acquired for content marketing campaigns. This was a concrete data point a lot of marketers (including us!) wanted to know since it would serve as a performance benchmark.

Screen Shot 2017-02-27 at 1.16.47 PM.png

As part of the study, we surveyed 30 content marketing agencies about how many links the average content marketing campaign earned, in addition to other questions related to pricing, client KPIs, and more.

After the research was published here on Moz, we did some promotion to get our data featured on Harvard Business Review, Inc, and Marketing Land. This data is still being linked to and shared today without us actively promoting it, such as this mention on SEMRush’s blog and this mention on the Scoop It blog (pictured below).

scoop-it-citation.png

To date, it’s been featured on more than 80 root domains and earned dozens of co-citations. It’s worth noting that this has been about far more than acquiring high-quality links; this research has been extremely effective for driving new business to our agency, which it continues to do to this day.

Debunking industry assumptions

But research doesn’t always confirm presumptions. For example, Buzzsumo and Moz’s research collaboration examined a million online articles. A key finding of their research: There was no overall correlation between sharing and linking. This debunked a commonly held assumption among marketers that content that gets a lot of shares will earn a lot of links, and vice versa. To date, this post has received an impressive 403 links from 190 root domains (RDs) according to Open Site Explorer.

How to use this strategy

To find original research ideas, look at how many backlinks the top results have gotten for terms like:

  • [Industry topic] report
  • [Industry topic] study
  • [Industry topic] research

Then, using the MozBar, evaluate what you see in the top SERPs:

  • Have the top results gotten a sizable number of backlinks? (This tells you if this type of research has potential to attract links.)
  • Is the top-ranking content outdated? Can you provide new information? (Try Rand’s tips on leveraging keywords + year.)
  • Is there a subtopic you could explore?

Additionally, seeing what has already succeeded will allow you to determine two very important things: what can be updated and what can be improved upon. This is a great place to launch a brainstorm session for new data acquisition ideas.

Industry trend and benchmark reports

Sure, this content type overlaps with “New Research and Studies,” but it merits its own section because of its specificity and high potential.

If your vertical experiences significant change from one year, quarter, or month to the next, there may be an opportunity to create recurring reports that analyze the state of your industry. This is a great opportunity to engage all different kinds of brands within your industry while also showcasing your authority in the subject.

How?

People often like to take trends and add their own commentary as to why trends are occurring or how to make the most of a new, popular strategy. That means they’ll often link to your report to provide the context.

And there’s an added promotional benefit: Once you begin regularly publishing and promoting this type of content, your industry will anticipate future releases.

Examples

HubSpot’s State of Inbound report, which features survey data from thousands of HubSpot customers, has been published annually for the last eight years. To date, the URL that hosts the report has links from 495 RDs.

Content Marketing Institute and MarketingProfs have teamed up for the last seven years to release two annual content marketing benchmark reports. The most recent report on B2B content marketing has earned links from 130 RDs. To gather the data, CMI and MarketingProfs emailed a survey to a sample of marketers from their own email marketing lists as well as a few lists from partner companies.

In addition to static reports, you can take this a step further and create something dynamic that is continually updated, like Indeed’s Job Trends Search (171 RDs) which pulls from their internal job listing data.

How to use this strategy

Where can you find fresh industry data? Here are a few suggestions:

Survey your customers/clients

You have a whole pool of people who have been involved in your industry, so why not ask them some questions to learn more about their thoughts, needs, fears, and experiences?

Talking directly to customers and clients is a great way to cut through speculation and discover exactly what problems they’re facing and the solutions they’re seeking.

Survey your industry

There are most likely companies in your industry that aren’t direct competitors but have a wealth of insight to provide to the overall niche.

For example, we at Fractl surveyed 1,300 publishers because we wanted to learn more about what they were looking for in content pitches. This knowledge is valuable to any content marketers involved in content promotions (including ourselves!).

Ask yourself: What aspect of your industry might need some more clarification, and who can you reach out to for more information?

Use your internal company data

This is often the easiest and most effective option. You probably have a ton of interesting data based on your interactions with customers and clients that would benefit fellow professionals in your industry.

Think about these internal data sets you have and consider how you can break it down to reveal trends in your niche while also providing actionable insights to readers.

Curated resources

Research can be one of the most time-consuming aspects of creating content. If someone has pulled together a substantial amount of information on the topic in one place, it can save anyone else writing about it a lot of time.

If you’re willing to put in the work of digging up data and examples, curated resource content may be your key to evergreen link building. Let’s look at a few common applications of this style of content.

Examples

Collections of statistics and facts

Don’t have the means to conduct your own research? Combining insightful data points from credible sources into one massive resource is also effective for long-term link attraction, especially if you keep updating your list with fresh data.

HubSpot’s marketing statistics list has attracted links from 963 root domains. For someone looking for data points to cite, a list like this can be a gold mine. This comprehensive data collection features their original data plus data from external sources. It’s regularly updated with new data, and there’s even a call-to-action at the end of the list to submit new stats.

Your list doesn’t need to be as broad as the HubSpot example, which covers a wide range of marketing topics. A curated list around a more granular topic can work, too, such as this page filled with mobile email statistics (550 RDs).

Concrete examples

Good writers help readers visualize what they’re writing about. To do this, you need to show concrete evidence of abstract ideas. As my 7th grade English teacher used to tell us: show, don’t tell.

By grouping a bunch of relevant examples in a single resource, you can save someone a lot of time when they’re in need of examples to illustrate the points they make in their writing. I can write thousands of words about the idea of 10x content, but without showing examples of what it looks like in action, you’re probably going to have a hard time understanding it. Similarly, the bulk of time it took me to create this post was spent finding concrete examples of the types of content I refer to.

The resource below showcases 50 examples of responsive design. Simple in its execution, the content features screenshots of each responsive website and a descriptive paragraph or two. It’s earned links from 184 RDs.

Authority Nutrition’s list of 20 high-protein foods has links from 53 RDs. If I’m writing a nutrition article where I mention high-protein foods, linking to this page will save me from researching and listing out a handful of protein-rich foods.

How to use this strategy

The first step is to determine what kind of information would be valuable to have all in one place for other professionals in your industry to access.

Often times, it’s the same information that would be valuable for you.

Here are some ways to brainstorm:

  • Explore your recent blog posts or other on-site content. What needed a lot of explaining? What topics did you wish you had more examples to link to? Take careful note of your own content needs while tackling your own work.
  • Examine comments on other industry articles and resources. What are people asking for? This is a gold mine for the needs of potential customers. You can take a similar approach on Reddit and Quora.
  • What works for other industries that you can apply to your own? Search for terms like the following to see what has been successful for other niches that you can apply to yours:
    • [Industry topic] examples
    • types of [industry topic]
    • list of [Industry topic]
    • [Industry topic] statistics OR stats
    • [Industry topic] facts

No matter which way you choose to proceed, the time investment can help you garner many links down the line.

Beginner content

Every niche has a learning curve, with various words, concepts, and ideas being foreign to a beginner.

Content that teaches noobs the ins and outs of your vertical has long-term linking potential. This type of content is popular for citations because it saves the writer from explaining things in their own words. Instead, they can link to the expert’s explanation.

And the best part is you can tap your internal experts to provide great insights that can serve as the foundation for this type of content.

Examples

101 Content

Moz’s Beginner’s Guide to SEO is a master class in how comprehensive beginner-level content becomes a link magnet. Not only does the guide have backlinks from more than 1,700 RDs, it also edges out the home page as the most-trafficked page on the site, according to SEMrush.

“What is...?”

Beginner content need not be as massive and thorough as the Moz guide to be linkable. It can be as simple as defining an industry term or concept.

Moz’s meta description page, which has backlinks from 244 RDs, is a solid example of an authoritative yet simple answer to a “what is?” query.

Another example is the first result in Google for the query “what is the Paleo diet,” which has 731 links from 228 RDs. It’s not a 10,000-word academic paper about the paleo diet. Rather, it’s a concise answer to the question. This page has served as an excellent source for anyone writing about the Paleo diet within the last several years.

screenshot-robbwolf.com 2017-02-21 14-17-01.png

If a lot of adequate top-level, definition-style content already exists about topics related to your vertical, consider creating content around emerging terms and concepts that aren’t yet widely understood, but may soon be more mainstream.

The perfect example of this? Creating a definitive explanation about content marketing before the entire world knew what content marketing meant. Case in point: Content Marketing Institute’s “What is Content Marketing?” page has amassed an impressive from 12,462 links from 1,100 root domains.

How to use this strategy

Buzzsumo recently released a new tool called Bloomberry which scours forums including Reddit and Quora for questions being asked about a keyword. You can search by time period (ex. questions asked within the last 6 months, all-time results, etc.) and filter by source (ex. only see questions asked in Reddit).

Use Bloomberry to see what beginner questions are being asked about your keyword/topic. Keyword ideas include:

  • [Industry topic] definition
  • How does [industry topic] work
  • [Industry topic] guide
  • What is [industry topic]

After doing the search, ask yourself:

  • What questions keep coming up?
  • How are these common questions being answered?

Bloomberry is also useful for spotting research opportunities. Within the first few results for “SaaS” I found three potential research ideas.

bloomberry.png

Pro tip: Return to these threads and provide an answer plus link to your content once it’s published.

Yes, you still need to promote your content

Don’t mistake this post as a call to stop actively doing outreach and promotion to earn links. Content promotion should serve as the push that gives your content the momentum to continue earning links. After you put in the hard work of getting your content featured on reputable sites with sizable audiences, you have strong potential to organically attract more links. And the more links your content has, the easier it will be for writers and publishers in need of sources to find it.

What types of content do you think are best for earning citation links? I’d love to hear what’s worked for you – please share your experiences in the comments below.

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!


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3 Tactics for Hyperlocal Keywords - Whiteboard Friday

3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday

Posted by randfish

Trying to target a small, specific region with your keywords can prove frustrating. While reaching a high-intent local audience is incredibly valuable, without volume data to inform your keyword research, you'll find yourself hitting a wall. In this Whiteboard Friday, Rand shares how to uncover powerful, laser-focused keywords that will reach exactly the right people.

Hyper Local Keyword Research

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

Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we're going to chat about hyperlocal keyword research. Now, this is a big challenge, not only for hyperlocal-focused businesses, but also for all kinds of websites that are trying to target very small regions, and many of them, with their keyword research and keyword targeting, on-page optimization.

The problem:

So the problem tends to be that most keyword research tools, and this includes things like the Google AdWords Tool, it includes Moz's Keyword Explorer, or KeywordTool.io, or Übersuggest, or anybody you want to use, most of them are relying on volume data.

So what happens is when you see a bunch of keyword suggestions, you type in "Sequim," for example, Sequim is a tiny town on Washington's peninsula, so across the Puget Sound from where we are here in Seattle. Sequim has a population of like 6,500 people or something like that, so very tiny. So most searches related to Sequim have no volume data in any of these tools. As a result, you don't see a lot of information about: How can I target these keywords? What are the right ones to go after? You don't know whether a keyword has zero searches a month, or whether it has four searches a month, and those four searchers are exactly who you want to get in front of, and this is really problematic.

There are three solutions that we've seen professional SEOs use and that some of us here at Moz use and the Moz Local team uses, and these can be real handy for you.

Solution 1: Use keyword data for larger, similar regions

So the first one is to basically replicate the data by using keyword information that comes from similar regions nearby. So let's say, okay, here we are in Sequim, Washington, population 6,669. But Port Angeles is only a few miles away. I think maybe a couple dozen miles away. But its population is more like 20,000. So we've got four or five times the keyword volume for most searches probably. This is going to include some outlying areas. So now we can start to get data. Not everything is going to be zero searches per month, and we can probably backtrack that to figure out what Sequim's data is going to be like.

The same thing goes for Ruidoso versus Santa Fe. Ruidoso, almost 8,000. But Santa Fe's population is almost 10 times larger at 70,000. Or Stowe, Vermont, 4,300, tiny, little town. Burlington is nearby, 10 times bigger at 42,000. Great. So now I can take these numbers and I can intuit what the relative volumes are, because the people of Burlington are probably similar in their search patterns to the people of Stowe. There are going to be a few differences, but for most types of local searches this will work.

Solution 2: Let Google autosuggest help

The second one, Google autosuggest can be really helpful here. So Google Suggest does not care if there's one search a month or one search in the last year, versus zero searched in the last year. They'll still show you something. Well, zero searched in the last year, they won't show you anything.

But for example, when I search for "Sequim day," I can intuit here, because of the ordering that Google Suggest shows me, that "Sequim day spa" is more popular than "day care." Sequim, by the way, sounds like a lovely place to live if you are someone who enjoys few children and lots of spa time, apparently. Then, "day hikes."

So this technique doesn't just work with Google itself. It'll also work with Bing, with Google Maps, and with YouTube. Another suggestion on this one, you will see different results if you use a mobile device versus a desktop device. So you might want to change it up and try your mobile device. That can give you some different results.

Solution 3: Use lexical or related SERP suggestions

All right. Third tactic here, last one, you can use sort of two styles of keyword research. One is called lexical, which is basically the semantic relationships between words and phrases. The other one is related SERP suggestions, which is where a keyword research tool — Moz Keyword Explorer does this, SEMrush is very popular for this, and there are a few others — and they will basically show you search terms the links that came up, the search results that came up for "Sequim day care" also came up in searches for these terms and phrases. So these are like SERPs for which your SERP also ranked.

You can see, when I searched for "Sequim day care," I did this in Keyword Explorer, because I happen to have a Moz Keyword Explorer subscription. It's very nice of Moz to give me that. You can see that I used two kinds of suggestions. One are related to keywords with similar results, so that's the related SERPs. The other one was based on closely related topics, like the semantic, lexical thing. "Sequim day care" has given me great stuff like "Banbury School Nursery," a nearby town, "secondary schools in Banbury," "Horton Day Nursery," which is a nursery that's actually near there, "Port Angeles childcare," "children's nursery."

So now I'm getting a bunch of keyword suggestions that can potentially be relevant and lead me down a path. When I look at closely related topics, I can see things like closely related topics. By the way, what I did is I actually removed the term "Sequim," because that was showing me a lot of things that are particular to that region. But if I search for "day care," I can see lots of closely related topics, like day care center, childcare, school care, special needs children, preschool programs, and afterschool programs. So now I can take all of these and apply the name of the town and get these hyperlocal results.

This is frustrating still. You don't have nearly the data that you have for much more popular search terms. But this is a good way to start building that keyword list, targeting, experimenting, and testing out the on-page work that you're going to need to do to rank for these terms. Then, you'll start to see your traffic grow from these.

Hyperlocal may be small, but it can be powerful, it can be very targeted, and it can bring you exactly the customers you're looking for.

So good luck with your targeting out there, and we'll see you again next week for another edition of Whiteboard Friday. Take care.

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!


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Proximity to Searcher is the New #1 Local Search Ranking Factor

Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor
Proximity to Searcher is the New #1 Local Search Ranking Factor

Posted by Whitespark

Have you noticed that a lot of local pack results don’t seem to make sense these days? Almost every time I search Google for a local search term, the pack results leave me wondering, “Why are these businesses ranking?”

For example, take a look at the results I get for “plumbers”:


(Searched in an incognito Chrome browser on PC in Edmonton)

Here’s a quick summary of the basic local ranking factors for the businesses in this local pack:

Notice that:

  • None of the businesses have claimed/verified their Google listing.
  • None of the businesses have any Google reviews.
  • Only one of the businesses even has a website!

Surely, Google, there are more prominent businesses in Edmonton that deserve to rank for this term?

Here’s the data table again with one additional point added: proximity to the searcher.

These business are all so close to me that I could walk to them in about 8 to 15 minutes. Here’s a map of Edmonton with pins for my location and these 3 businesses. Just look at how close they are to my location:

After analyzing dozens of queries that my colleagues and I searched for, I am going to make a bold statement:

"Proximity to searcher is the new #1 ranking factor in local search results today." - Darren Shaw

For most local searches these days, proximity appears to be weighted more than links, website content, citations, and reviews in the local pack rankings. Google doesn’t seem to value the traditional local search ranking factors when determining which businesses to rank in the local pack. The main consideration seems to be: “Which businesses are closest to the searcher?” I have been noticing this trend for at least the last 8 months or so, and it seems to have intensified since the Possum update.

Evidence of proximity-based local rankings

Whitespark has team members that are scattered throughout Edmonton, so four of us ran a series of searches from our home offices to see how the results differ across the city.

Here is a map showing where we are physically located in Edmonton:

On desktop, Google doesn’t actually know exactly where we are. It guesstimates it based on IP, WiFi, and mobile data. You can figure out where Google thinks you’re located by doing the following:

  1. Open an incognito browser in Chrome.
  2. Go to maps.google.com.
  3. Search for a local business in your city.
  4. Click the “Directions” button.
  5. Enter “my location” into the top field.

In order to give you directions, Maps will drop a circle on the spot that it thinks you’re located at.

Here’s where Google thinks I am located:

As a team, at approximately the same time of day, all four of us searched the same 9 local queries in incognito browser windows and saved screenshots of our results.

The search terms:

Non-geo-modified terms (keyword):
plumbers
lawyers
coffee shops

Geo-modified terms (keyword + city):
plumbers edmonton
edmonton plumbers
edmonton lawyers
lawyers edmonton
coffee shops edmonton
edmonton coffee shops

Below are the mapped results for 9 local queries that we each searched in incognito browsers. Rather than dumping 24 maps on the page, here they are in a Slideshare that you can click through:

Proximity is the New Top Local Search Ranking Factor from Darren Shaw

As you click through, you'll see that each of us get completely different results, and that these results are generally clustered around our location.

You can also see that proximity impacted non-geo-modified terms (“plumbers”) more than the results for geo-modified terms (“edmonton plumbers”). The differences we’re seeing are likely due to relevancy for the geo-modified term. So for instance, the websites may have more anchor text targeting the term "Edmonton plumbers," or the overall content on the site has more references to Edmonton plumbers.

How does proximity impact local organic results?

Localized organic results are the blue links that list businesses, directories, etc, under the local pack. We’re seeing some very minor differences in the results, but relatively consistent local organic rankings across the city.

Generally, localized organic results are consistent no matter where you're located in a city — which is a strong indication of traditional ranking signals (links, reviews, citations, content, etc) that outweigh proximity when it comes to local organic results.

Here are screenshots of the local organic results:

Proximity is the New Top Local Search Ranking Factor from Darren Shaw

Some observations

  1. Non geo-modified searches (keyword only) can pull results from neighboring cities. In the new local packs, proximity to searcher is not affected by the city you are in, but by the radius of the searcher. This does not appear to be the same for a geo-modified term — when you add a city to the search. This tells us that the #1 local search ranking factor from the Local Search Ranking Factors survey, “Physical address in city of search,” may no longer be as important as it once was.
  2. Results sometimes cluster together. Even though there may be businesses closer to the searcher, it seems like Google prefers to show you a group of businesses that are clustered together.
  3. Google would rather show a smaller pack than a 3-pack when there is a business that’s too far away from the searcher. For example: I only get a 2-pack of nearby businesses here, but I know there are at least 5 other businesses that match this search term:
  4. Probably obvious, but if there aren’t many businesses in the category, then Google will return a wider set of results from all over the city:

Why is Google doing this?

Why is Google giving so much ranking strength to proximity and reducing the impact of traditional local search ranking factors?

To sell more ads, of course.

I can think of three ways that this will increase ad revenue for Google:

  1. If it’s harder to get into the organically driven local packs, then businesses will need to pay to get into their fancy new paid local packs.
  2. Back in the day, there was one local pack per city/keyword combo (example: "edmonton plumbers"). Now there are thousands of local packs across the city. When they create a new pack every mile, they drastically increase their available “inventory” to sell ads on.
  3. When the results in the 3-pack aren’t giving you what you want, then a click into “more places” will bring up the Local Finder, where Google is already displaying ads:
  4. (Bonus) And have you noticed that the new local ad packs focus on “nearby”? The local ads and the local pack results are increasingly focused on how close the businesses are to your physical location.

Though I don’t think it’s only for the additional ad revenue. I think they truly believe that returning closer businesses is a better user experience, and they have been working on improving their technology around this for quite some time.

Way back in 2012, Whitespark’s Director of Local Search, Nyagoslav Zhekov, noted in the 2012 Local Search Ranking Factors survey that proximity of business location to the point of the searcher was his top local ranking factor. He says:

“What really matters, is where the searcher is physically located and how close the potentially relevant search results are. This ranking factor is getting further boost by the importance of local-mobile search, where it is undoubtedly #1. For desktop search the factor might not be as important (or not have any significance) if searcher's location and the location for which the search is intended differ.”

It is interesting to note that in today’s results, as we can see in the examples in this post, proximity is now a huge ranking factor on desktop as well. Google has been going “mobile-first” for years, and I’m starting to think that there is no difference in how they process mobile and desktop local results. You just see different results because Google can get a more precise location on mobile.

Furthermore, Bill Slawski just published a post about a recently approved Google patent for determining the quality of locations based on travel time investment. The patent talks about using quality measures like reviews (both user and professional) AND travel time and distance from the searcher (time investment) to rank local businesses in search results.

One excerpt from the patent:

“The present disclosure is directed to methods and apparatus for determining the quality measure of a given location. In some implementations, the quality measure of a given location may be determined based on the time investment a user is willing to make to visit the given location. For example, the time investment for a given location may be based on comparison of one or more actual distance values to reach the given location to one or more anticipated distance values to reach the given location. The actual distance values are indicative of actual time of one or more users to reach the given location and the anticipated distance values are indicative of anticipated time to reach the given location.”

The patent was filed in May 2013, so we can assume that Google may have been experimenting with this and incorporating it into local search for at least the past 3 to 4 years. In the past year, the dial seems to have been cranked up on this factor as Google gets more distance and travel data from Android users and from users of the Google Maps app on other mobile platforms.

These results suck

It seems to me that in most business categories, putting so much emphasis on proximity is a pretty poor way to rank results. I don’t care if a lawyer is close to me. I am looking to hire a lawyer that’s reputable, prominent in my city, and does good work. I’m perfectly happy to drive an extra 20 minutes to go to the office of a good lawyer. I’m also looking for the best pizza in town, not the cardboard they serve at the place down the street. The same applies for every business category I can think of, outside of maybe gas stations, emergency plumbers, or emergency locksmiths.

In my opinion, this emphasis on proximity by Google seriously downgrades the quality of their local results. People are looking for the best businesses, not the closest businesses. If this is the new normal in Google’s local results, I expect that people will start turning to sites like Yelp, TripAdvisor, Avvo, Angie's List, etc. when searching for businesses. I already have.

So what about local rank tracking?

Most local rank trackers set the location to the city, which is the equivalent of setting it to the centroid. It is very likely that the local pack and local finder results reported in your rank tracker will be different from what the business or client sees when they search. To get more accurate results, you should use a rank tracker that lets you set the location by zip/postal code (hint hint, Whitespark’s Local Rank Tracker).

You should also realize that you’re never going to get local rank tracking reports that perfectly match with what the person sitting in the city sees. There are just too many variables to control for. The precise proximity to the searcher is one thing a rank tracker can’t exactly match, but you’ll also see differences based on device used, browser version, personalization, and even time of day as results can and do change by the hour.

Use your rank tracking reports as a measure of general increases and decreases in local visibility, not as an exact match with what you would see if you were searching from within city.

How does this affect local SEO strategies?

Local SEO is not dead. Far from it. It’s just more competitive now. The reach your business can have in local results is smaller than it used to be, which means you need to step up your local organic and optimization efforts.

  • Local search practitioners, if you’re seeing traffic and rankings going down in your local SEO reporting and you need to answer to your clients on this, you’re now armed with more info on how to answer these questions. It’s not you, it’s Google. They have reduced the radius that your business will be shown in the search results, so you’re going to be driving less traffic and leads from local pack results.
  • If you want your business to rank in the pack or local finder, you will need to crank up the dial on your optimization efforts.
  • Get on those local organic opportunities (content and links). There is less pack real estate for you now, but the localized organic results are still great city-wide opportunities. The local organic results are currently localized to the city, not the searcher location. We can see this in all the terms.
  • Look for outliers. Study the businesses that are getting pulled into the local rankings from a far distance from the searcher. What are they doing in terms of content, links, reviews, and mentions that helps them appear in a wider radius than other businesses?
  • Diversify your local optimization efforts beyond Google. Make sure you’re on Yelp, BBB, TripAdvisor, Avvo, Angie's List, etc, and that your profiles are claimed, optimized, and enhanced with as much information as possible. Then, make sure you’re driving reviews on THESE sites rather than just Google. If the local pack results are crap, a lot of people will click Yelp’s 10 Best XYZ list, for example. You want to be on that list. The more reviews you get on these sites, the better you will rank in their internal search results, and as people desert Google for local business recommendations because of their low-quality results, you’ll be ready and waiting for them on the other sites.

The tighter radius might mean less local search pie for the more dominant businesses in the city, but don’t despair. This opens up opportunities for more businesses to attract local search business from their local neighborhood, and there is still plenty of business to drive through local search if you step up your game.

Have you also noticed hyper-localized local pack results? I would love to hear about your examples and thoughts in the comments.


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March 01, 2017 at 12:06PM

Branding Success: How to Use PPC to Amplify Your Brand

Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand
Branding Success: How to Use PPC to Amplify Your Brand

Posted by purna_v

Here’s a question for you:

Do you think a brand can influence your behavior outside of purchase preference? Put another way, will seeing the North Face logo make you want to take up hiking in the snow?

A few years ago, researchers at Duke University conducted an experiment with 341 students. Their goal? Studying what makes a brand powerful and how we’re influenced by brands. As part of this study, the students were asked to complete what they were told was a visual acuity test.

During this test, either an Apple logo or IBM logo flashed on the screen for a second, so quickly that the students were unaware they had been exposed to the logo. The participants then completed a task designed to evaluate how creative they were, listing all the uses they could think of for a brick.

Are you surprised that students exposed to the Apple logo came up with not just more uses, but more creative uses? The experiment was also done using the Disney Channel logo and the E! logo – and the students were tested on their degree of honesty and dishonesty. Which logo exposure led to more honesty? If you thought Disney, you’re right.

This is evidence that subliminal brand exposure can cause people to act in specific ways. Branding matters.

For those of us who work in paid search, this whole “branding” thing, with its unintuitive KPIs, can seem nebulous and not something for us to worry about. We PPC-ers have specific goals and KPIs, and it’s easy for us to be seen as only a bottom-funnel channel. But we’re far more powerful than that.

Here’s the truth: Brand advertising via PPC does impact the bottom line.

I’ll share three key ways to build a framework for branding:

  1. Make choosing you easier.
  2. Show your customers you care.
  3. Make it easy to be a loyal customer.

Chances are you’re taking some of these steps already, which is fantastic. This framework can guide you to ensure you’re covering all the steps of the funnel. Let’s break down how PPC can support all three of these key points.

1. Make choosing you easier

Top brands understand their audiences really well. And what’s true of pretty much every audience right now is that we’re all looking for the fast fix. So if a brand can make it easy for us to find what we need, to get something done – that brand is going to win our hearts.

Which is why getting your ad messaging right is critical.

Something I notice repeatedly is that we’re so focused on that next advanced tactic or the newest feature that we neglect the simple basics. And that is how we get cracks in our foundation.

Most accounts I look at perform brilliantly with the complex, but routinely make avoidable errors with the basics.

Ad copy

Ads are one of those places where the cracks aren’t just visible, they’re also costly. Let’s look at a few examples of ads with sitelink extensions.

Example 1: What not to do

1_Almay.png

What do you think of this ad?

It’s a decent ad. It’s just not great. What’s hurting the ad is that the sitelinks are a broad – even random – mix of different paths and actions a person can take. We have a mix of product, social media, and spokesperson content. This is not likely to make anyone’s life easier.

Even if I had been interested in the makeup, I might be distracted by the opportunity to meet Carrie Underwood, reducing the odds of a conversion. In trying to please too many different audiences, this ad doesn’t do a particularly strong job of pleasing anyone.

Example 2: Sitelinks organized according to stage of interest

2_Clinique.png

Why not organize your sitelinks according to your customer’s stage of interest instead, like Clinique did here? This is brilliant.

Clinique is acknowledging that some shoppers are here just to buy the makeup they always order – so “Shop Makeup” is the first sitelink offered. But other visitors have come to see what’s new, or to do research on the quality of Clinique skincare, and probably everyone is looking for that discount.

Organizing sitelinks by your customer’s stage of interest also boosts brand by showing your customer that you care. We’ll talk more about that piece later.

Example 3: Sitelinks organized according to customer’s need

3_Harley.png

Here’s something smart: Organizing sitelinks according to what you already know your customers need.

Harley Davidson knows that a potential customer coming to their website wants more than pretty pictures of the bike. They’re ready to schedule a test ride or even estimate payments, so these options are right at the top.

They also understand that Harley Davidson is an aspirational product. I may want to estimate a payment or find information about my local dealer even before I know how to ride a bike. It’s part of the dream of joining the Harley lifestyle. They know this and make their customers’ lives easier by sharing links to learn-to-ride classes.

Example 4: Give them multiple ways to choose you

4_Sephora.png

For brands targeting by geography and who have a local presence, including call extensions and location extensions is a must.

As searches move from desktop to mobile, we know that local searches take the lead – and conversions on a local search happen within five hours of the search (source: Microsoft Internal research). Including call and location extensions helps shorten that conversion cycle.

What I especially love about this ad is that they give you two different buying options. You can visit the store at the physical address, or if that is deemed out-of-the-way by the searcher, the ad entices them to shop Sephora with a discount code for an online purchase. This increases the odds that the shopper will choose Sephora as opposed to visiting a more conveniently located competitor.

Indirect brand terms

When people are looking for your service but not necessarily your brand, you can still make their lives easier by sharing answers to questions they may have.

Of course, you’re already showing up for branded searches or searches directly asking for your product. But what about being helpful to your customers by answering their questions with helpful information? Bidding on these keywords is good for your brand.

For example, Neutrogena is doing a great job at showing up for longer-tail keywords, and they’re also working to build the association between gentle makeup removers for sensitive skin and their brand.

5_Neutrogena.png

And here, Crest is doing a fantastic job in using their ad copy to make themselves stand out as experts. If anyone has questions about teeth whitening, they’re showing that they’re ready to answer them:

6_Crest.png

This also helps you show up for long-tail queries, which are another increasingly critical aspect of voice search.

2. Show your customers you care

If you can anticipate issues and show up when your customers are venting, you win.

Professor Andrew Ehrenberg of South Bank Business School says that people trust strong brands more. They forgive your mistakes more easily. They believe you will put things right.

And what better way to show your customers you care than by anticipating their issues?

Be there when they want to complain

Where’s the first place you go when you want to look something up? Most likely a search engine. Showing up well in the SERPs can make a big difference.

Let’s look at an example. I did a search for complaints related to Disney, a brand with a strong positive sentiment.

7_Disney.png

Surprisingly, the SERPs were filled with complaint sites. What could have helped Disney here would be if they ran ads on these keywords, with the message that they were keen to make things right, and here’s the best number to call and chat.

Wouldn’t that diffuse the situation? Best of all, keywords like this would be very low-cost to bid on.

What about showing up when potential customers are complaining about the competition? You could consider running ads for keywords related to complaints about your competition.

I’d advise you to be careful with this approach since you want to come across as being helpful, not gloating. This strategy also may not lead to very many conversions – since the searcher is looking to complain and not to find alternative businesses – but given the low cost, it may be worth testing.

Cross-channel wins

As PPCs, we’re more powerful than even we give ourselves credit for. Our work can greatly help the PR and SEO teams. Here’s how.

PR:

As noted earlier, the search engine is the first place we go when we want to look up something.

This is so very impactful that, as reported in the New York Times, Microsoft scientists were able to analyze large samples of search engine queries that could in some cases identify Internet users who were suffering from pancreatic cancer, even before they have received a diagnosis of the disease.

This all goes to show the power of search. We can also harness that power for reputation management.

Broad-match bidding can help PR with brand protection. Looking through broad-match search term reports, a.k.a search query reports (SQRs), can help to spot trends like recalls or a rise in negative sentiment.

PPCs can send the PR folks a branded SQR on a regular basis for them to scrub through to spot any concerning trends. This can help PPC stand out as a channel that protects and monitors brand sentiment.

SEO:

Content marketing is a key way for brands to build loyalty, and PPC is an excellent way to get the content to the audience. Serving ads on key terms that support the content you have allows you to give your audience the info they really want.

For example, if your SEO teams built a mortgage calculator as value-add content, then you could serve ads for queries such as “How much house can I afford?”:

8_Mortgage.png

Taking this concept a step further, you can use high-value content to show up with ads that match the research stage of the customer’s interest. As PPCs, we’re often keen to simply show an ad that gets people to convert. But what if they’re not ready? Why should we either ignore them or show up with something that doesn’t match their goal?

Take a look at these ads that show up for a research-stage query:

9_KitchenIdeas.png

The first ad from Sears – while very compelling – seems mismatched to the search query.

Now look at the third ad in the list, offering 50 kitchen idea photos. This is a much better match to the query. If it were me searching, this is the ad I would have chosen to click on.

What happens to the conversion?

Well, the landing page of the “50 ideas” ad could feature some type of offer, say like what the Sears ad has to offer, and here it would be much more welcome. In this way, we could use higher-funnel ads as lead gen, with KPIs such as content impressions, lead form fills, and micro-conversions.

This is such a win-win-win strategy:

  • You’ve shown your customers you care for them and will be there for them
  • You’ve helped your colleagues get more exposure for their hard work
  • You’ve earned yourself cost-effective new leads and conversions.

Boss move.

Want more ideas? Wil Reynolds has some fantastic tips on how SEOs can use PPC to hit their goals.

3. Make it easy to be a loyal customer

Growing customer lifetime value is one of the most worthwhile things a brand can do. There are two clever ways to do this.

Smarter remarketing

You liked us enough to buy once – how would you like to buy again? Show your customers more of what they like over time and they’ll be more attuned to choosing your brand, provided you’ve served them well.

What about remarketing based on how long it’s been since the purchase of a product?

This tactic can be seen as helpful as opposed to overtly sales-y, building brand loyalty. Think of how Amazon does it with their emails suggesting other products or deals we may be interested in. As a result, we just keep going back to Amazon. Even if they don’t have the lowest price.

10_PowerProtein.png

For example, what if a sports nutrition company knew that most customers took three months to finish their box of protein shake powder? Then around the middle of month two, the company could run an ad like this to their list of buyers. It features an offer and shows up just at the right time.

The customer will probably think they’ve lucked out to find a special offer just at the right time. We know that it’s not luck, it’s just smarter remarketing.

Want more ideas? Check out Sam Noble’s Whiteboard Friday on how paid media can help drive loyalty and advocacy.

Show up for the competition

Remember when the iPhone 6s launched? Samsung ran very clever PPC ads during the launch of the iPhone 6s, and again when Apple was in the news about the phones bending.

11_Samsung1.png

12_Samsung2.png

Samsung used humor – which, importantly, wasn’t mean-spirited – and got a lot of attention and goodwill, not to mention a ton of PR and social media attention. Great for their brand at the time!

You can use the same tactic to run ads on competitors’ brand names with ads that showcase your USP. This works especially well for remarketing in paid search (or RLSA) campaigns.

13_Chevy.png

Here, Chevy capitalized on the Tesla Model 3 announcement-related search volume spike. They ran ads that reminded users that their cars were available in late 2016, with the unstated message that it’s much sooner than when the Tesla Model 3 cars are expected to arrive.

Give back

Engaging with the customer is the best way to make it easy for them to be loyal to your brand. Enhance that by showing them you care about what they care about for added impact.

Here’s one way to give back to your customer, and this particular effort is also a huge branding opportunity.

14_Loreal.png

I love how L’Oréal is associating themselves with empowering women – and most of their customers will like this as well. They’re giving back to their customers by honoring the women they care about. To create loyal customers, the best brands give back in meaningful ways.

Wrapping up

One of my favorite Seth Godin quotes is, “Marketing is no longer about the stuff that you make, but about the stories that you tell.”

PPC is a wonderful channel to shape and create stories that will engage and delight your customers.

And now we come full circle, to that place where we started, wondering how in the world PPC can impact brand. Your paid search campaigns are a chapter in your brand’s story, and you have an unlimited number of ways to write that chapter, and to contribute to the brand.

Branding isn’t just for the birds. Have you found a way to use PPC to help grow your brand? I’d love to hear your ideas in the comments below.


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3 Tactics for Hyperlocal Keywords - Whiteboard Friday

3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday
3 Tactics for Hyperlocal Keywords - Whiteboard Friday

Posted by randfish

Trying to target a small, specific region with your keywords can prove frustrating. While reaching a high-intent local audience is incredibly valuable, without volume data to inform your keyword research, you'll find yourself hitting a wall. In this Whiteboard Friday, Rand shares how to uncover powerful, laser-focused keywords that will reach exactly the right people.

Hyper Local Keyword Research

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

Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we're going to chat about hyperlocal keyword research. Now, this is a big challenge, not only for hyperlocal-focused businesses, but also for all kinds of websites that are trying to target very small regions, and many of them, with their keyword research and keyword targeting, on-page optimization.

The problem:

So the problem tends to be that most keyword research tools, and this includes things like the Google AdWords Tool, it includes Moz's Keyword Explorer, or KeywordTool.io, or Übersuggest, or anybody you want to use, most of them are relying on volume data.

So what happens is when you see a bunch of keyword suggestions, you type in "Sequim," for example, Sequim is a tiny town on Washington's peninsula, so across the Puget Sound from where we are here in Seattle. Sequim has a population of like 6,500 people or something like that, so very tiny. So most searches related to Sequim have no volume data in any of these tools. As a result, you don't see a lot of information about: How can I target these keywords? What are the right ones to go after? You don't know whether a keyword has zero searches a month, or whether it has four searches a month, and those four searchers are exactly who you want to get in front of, and this is really problematic.

There are three solutions that we've seen professional SEOs use and that some of us here at Moz use and the Moz Local team uses, and these can be real handy for you.

Solution 1: Use keyword data for larger, similar regions

So the first one is to basically replicate the data by using keyword information that comes from similar regions nearby. So let's say, okay, here we are in Sequim, Washington, population 6,669. But Port Angeles is only a few miles away. I think maybe a couple dozen miles away. But its population is more like 20,000. So we've got four or five times the keyword volume for most searches probably. This is going to include some outlying areas. So now we can start to get data. Not everything is going to be zero searches per month, and we can probably backtrack that to figure out what Sequim's data is going to be like.

The same thing goes for Ruidoso versus Santa Fe. Ruidoso, almost 8,000. But Santa Fe's population is almost 10 times larger at 70,000. Or Stowe, Vermont, 4,300, tiny, little town. Burlington is nearby, 10 times bigger at 42,000. Great. So now I can take these numbers and I can intuit what the relative volumes are, because the people of Burlington are probably similar in their search patterns to the people of Stowe. There are going to be a few differences, but for most types of local searches this will work.

Solution 2: Let Google autosuggest help

The second one, Google autosuggest can be really helpful here. So Google Suggest does not care if there's one search a month or one search in the last year, versus zero searched in the last year. They'll still show you something. Well, zero searched in the last year, they won't show you anything.

But for example, when I search for "Sequim day," I can intuit here, because of the ordering that Google Suggest shows me, that "Sequim day spa" is more popular than "day care." Sequim, by the way, sounds like a lovely place to live if you are someone who enjoys few children and lots of spa time, apparently. Then, "day hikes."

So this technique doesn't just work with Google itself. It'll also work with Bing, with Google Maps, and with YouTube. Another suggestion on this one, you will see different results if you use a mobile device versus a desktop device. So you might want to change it up and try your mobile device. That can give you some different results.

Solution 3: Use lexical or related SERP suggestions

All right. Third tactic here, last one, you can use sort of two styles of keyword research. One is called lexical, which is basically the semantic relationships between words and phrases. The other one is related SERP suggestions, which is where a keyword research tool — Moz Keyword Explorer does this, SEMrush is very popular for this, and there are a few others — and they will basically show you search terms the links that came up, the search results that came up for "Sequim day care" also came up in searches for these terms and phrases. So these are like SERPs for which your SERP also ranked.

You can see, when I searched for "Sequim day care," I did this in Keyword Explorer, because I happen to have a Moz Keyword Explorer subscription. It's very nice of Moz to give me that. You can see that I used two kinds of suggestions. One are related to keywords with similar results, so that's the related SERPs. The other one was based on closely related topics, like the semantic, lexical thing. "Sequim day care" has given me great stuff like "Banbury School Nursery," a nearby town, "secondary schools in Banbury," "Horton Day Nursery," which is a nursery that's actually near there, "Port Angeles childcare," "children's nursery."

So now I'm getting a bunch of keyword suggestions that can potentially be relevant and lead me down a path. When I look at closely related topics, I can see things like closely related topics. By the way, what I did is I actually removed the term "Sequim," because that was showing me a lot of things that are particular to that region. But if I search for "day care," I can see lots of closely related topics, like day care center, childcare, school care, special needs children, preschool programs, and afterschool programs. So now I can take all of these and apply the name of the town and get these hyperlocal results.

This is frustrating still. You don't have nearly the data that you have for much more popular search terms. But this is a good way to start building that keyword list, targeting, experimenting, and testing out the on-page work that you're going to need to do to rank for these terms. Then, you'll start to see your traffic grow from these.

Hyperlocal may be small, but it can be powerful, it can be very targeted, and it can bring you exactly the customers you're looking for.

So good luck with your targeting out there, and we'll see you again next week for another edition of Whiteboard Friday. Take care.

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!


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