Tuesday, January 31, 2017

SearchCap: Google new AdWords interface, ads by AdWords & IF functions

searchcap-header-v2-scap

Below is what happened in search today, as reported on Search Engine Land and from other places across the web.

From Search Engine Land:

Recent Headlines From Marketing Land, Our Sister Site Dedicated To Internet Marketing:

Search News From Around The Web:

Link Building

Searching

SEO

SEM / Paid Search

Search Marketing

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New AdWords interface alpha is rolling out to more advertisers

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Google has been slowly building out the new AdWords interface, first introduced last March. More accounts have been granted alpha access, and on Tuesday, Google’s head of search ads, Jerry Dischler, said it is rolling out to even more AdWords accounts in the next few months.

When you first get access, you may be taken right to the new interface, or you may see a notification in the top right corner or at the bottom of the screen like the one below.

try-new-adwords-notice

Don’t worry about clicking it and never being able to get back to the land you know. You can toggle back and forth between the new and old interfaces, which you’ll want to do because functionality like being able to download data is still not available. A guided tour will launch the first time the new UI loads in an account.

Last fall, I wrote about some of the handy, time-saving visualizations in the new interface, which you might find helpful if you’re just  getting access, or want to see what’s coming.

Google continues to add more features to the new UI, so even if you don’t find yourself working in it extensively at first, it’s worth continuing to check out and get used to the navigation. Here’s a look at an Overview screen today.

adwords-interface-01-31-17

Google says accounts are selected based on a number of factors such as the features used.

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Online Content: Is Longer Really Better?

Writing online content is something of a balancing act. For years, SEO experts have pointed out that Google loves longer content.

Your readers? Not necessarily.

As a writer, that means you’re kind of stuck in the middle. Write too little, and your content won’t rank. Write too much, and most people won’t read your content.

‘Tis a conundrum, no?

The good news is, Google has realized that word count and keyword density aren’t always the best predictors of relevance. People care about their on-page experience—not the keyword count.

As a result, Google has placed an increasing focus on user experience. In Moz’s 2015 report on non-keyword ranking factors, 4 of their top 10 factors relate to user experience:

moz-non-keyword-ranking-factors

Given this trend, the odds are that as Google gets better at discerning great on-page experiences from the ho-hum ones, many pages with a lot of text but little value will start dropping through the ranks.

As a result, it’s not enough any more to write in-depth, keyword rich content—you have to optimize your content length for user experience. And, to do that, you need to know how much content your audience really wants on a page.

Fortunately, figuring that out isn’t nearly as difficult as you might think. To help you out, let’s take a look at how users interact with content and how you can test your content to maximize its effectiveness.

Is Longer Better?

Since Google has historically prioritized longer content, most companies and blogs have spent years producing long-form content. Often, this content is good, high-quality writing that delivers a lot of value (case in point, the Kissmetrics blog).

But the question is, is longer better?

For some sites, it probably is. But, to tell you the truth, I rarely read through everything on a page, even if I care a lot about the content. As it turns out, most people act the same way online.

In fact, Chartbeat ran a study to see just how far people make it through a typical blog post. Turns out, your average user only reads about half of a blog post:

So, while you may have written an epic, 8,000-word blog post about the psychology behind the Chewbacca Mask Lady’s viral video, most people aren’t going to read the whole thing. They’re going to bail long before your oh-so-compelling conclusion.

Sure, your article might rank well, but if people don’t finish reading it, will your article help your business? That’s debatable.

This idea holds especially true for site pages and landing pages. The internet is littered with enormous pages like this one (I rearranged the page into 3 side-by-side columns to improve your reading experience—see what I did there?):

myriad-pro-homepage

Pages like this have a lot of good content, but all of that good content gets lost in the length of the page. Yes, the information a potential customer needs is probably on the page, but if they can’t find it, they’re not going to have a very good experience.

The point here is that crafting a compelling user experience doesn’t mean writing a lot of content. In fact, depending on your audience, writing more may mean people read less and therefore convert less.

But how can you know what sort of content length your audience prefers? To answer that, you’ll need to run a simple test.

Testing Out Different Content Lengths

When it comes to conversion rate optimization, a lot of companies focus on major page elements like headlines, hero shots, form fields, CTA buttons, etc. Content length often sits at the bottom of the list.

This is a shame, because content length is a major part of your user experience—especially if you run an active blog.

For example, at Disruptive, we were recently helping OURrescue optimize their site. Now, OURrescue is an amazing group. They travel the world saving kids from sex traffickers. It’s pretty hard to top that.

To fund their rescues, OURrescue runs a regular blog that discusses the (often heart-wrenching) details of their “missions.” Each blog post ends with a call for donations to help fund further rescue efforts.

In keeping with most blogs, OURrescue’s articles were usually a minimum of 1,500 words long and very detailed. The blog was generating decent donations, but my VP of Conversion Rate Optimization, Chris Dayley, started to wonder about the length of their content.

Were they writing too much? Too little? Would OURrescue get more donations if they changed the length of their content?

To answer these questions, Chris asked OURrescue to write short, medium and long versions of a few articles. We then used Optimizely to send traffic to each of the post variants. Similar to Chartbeat, we tracked how far users scrolled through each post (using Hotjar), time on page and the donations generated from each version of the article.

On desktop, the results were about what you’d expect (note, we tested multiple articles, but for simplicity’s sake, we’re only showing the variants for one article):

ourrescue-desktop-results

The longer the posts, the longer people spent on the page. That makes sense, since longer posts take more time to read. However, the mid-length articles actually had the highest completion rate.

So, while readers spent more time on the longest version of the posts, more people actually finished the articles and saw the donation CTA on the medium-length versions.

Things got even more interesting when we looked at our mobile users:

ourrescue-mobile-results

On mobile (which is where most online time is spent these days), the longest post variants had the lowest time on page. The middle-length page variants had the highest time on page.

The shortest version of the posts, however, had the highest completion rate—nearly double the completion rate of the longest variants.

Now, these stats were all very interesting, but none of them really answered the most important question: which length of content provided the best user experience?

Or, to put things in more concrete business terms, which version of the articles produced the most donations?

As it turned out, the “winning length” varied between desktop and mobile:

ourrescue-mobile-vs-desktop-donations-winners

Compared with the longest version of the articles, the shortest versions drove over 80% more donations on mobile and the medium-length versions drove almost 30% more donations on desktop.

So, was longer content better for OURrescue? Not by a long shot!

What makes this data particularly interesting is the fact that time on page wasn’t a particularly good predictor of donations. Page completion rate, however, was.

If you think about it, this makes sense. After all, with a CTA at the bottom of the article, if people weren’t finishing the article, they weren’t seeing the CTA, which meant they weren’t donating.

Now, it’s possible that adding a floating CTA users could see throughout their reading experience could help improve donations further, but that’s hardly the point of this test. Since the CTA was at the bottom of the article, that meant that people who saw the CTA were having a good enough experience to get to the bottom of the article.

So, what drove donations for OURrescue? It wasn’t the articles with the most words—it was the articles with the best user experience.

All this being said, these were OURrescue’s results. Your audience will be different. It’s very possible that you could run this same sort of test and get completely different results.

But, if you don’t test the length of your content, can you really be sure that you’re providing the optimum user experience?

Conclusion

So, is longer content really better? For years, long content has been a great way to get ranked on Google, but that’s beginning to change.

These days, both Google and your readers are looking for content that provides a great experience. That means your online content needs to be the right length for your audience.

As Google continues to focus their algorithms on providing ever better user experiences, it’s time for online marketers to do the same.

Have you ever tried a test like this one? What were your results? Do you agree that online content should be optimized for user experience, rather than word count or keyword density?

About the Author: Jacob Baadsgaard is the CEO and fearless leader of Disruptive Advertising, an online marketing agency dedicated to using PPC advertising and website optimization to drive sales. His face is as big as his heart and he loves to help businesses achieve their online potential. Connect with him on LinkedIn or Twitter.

Google launches Ads Added by AdWords pilot: what we know so far

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Automation is nothing new in AdWords, but this month, Google launched a pilot this month that adds new text ads to advertisers’ accounts. Dubbed Ads Added by AdWords, the program started on January 26.

Not surprisingly, this news has set off alarm bells among paid search managers that worry about Google usurping control over the ad creation and testing process. Here is what we know so far about this test.

The initial set of advertisers were notified of the pilot on January 12. For those that chose to participate, ads were added to ad groups two weeks later, on January 26, at which time a second wave of advertisers were notified about the pilot. Currently 2,000 accounts have been selected for the test. Each has a two-week opt-out window via a form. If you do not receive an email, you haven’t been selected for the pilot.

What accounts were considered for this program? Google looked at campaigns with ad rotation settings of either “Optimize for clicks” or “Optimize for conversions” that have ad groups with few ads in them.

If you’ve opted out of automated extensions or are in a vertical with privacy sensitivities such as pharma, your account was not selected for this program.

How are the ads generated? We’re told that, for the test, the ads were generated by people (as opposed to auto-generated) based on the existing ads in the account and the landing page content. The ads went through review by the product team, among others, for quality assurance. The sales teams were also involved in creative review and account selection for the pilot.

From the Help Center page on this new program, we also know that any ads generated for the pilot will be labeled “Added by AdWords”. In the example below (yes, all of the ads are terrible, but try to look past that for now), Google has added two test ads in an ad group that had just one ad. Notice that the headlines, description and paths are all being tested.

ads-added-by-adwords

 

Google says on that Help Center page, “We believe that adding more ads to the affected ad groups can improve these ad groups’ performance by 5 to 15%.” The new ads are set to run indefinitely, and Google recommends pilot participants not pause the ads. Theoretically, if they perform worse (based on conversion or click-through rates), the ads will be shown less. But, certainly review the ads if you’re participating in the test, as Google also advises.

This program obviously raises more questions about advertiser control and the role of machine learning in ad creation. If Google deems the pilot successful and roles Ads Added by AdWords out more broadly, it’s hard to see how the current ad creation and vetting process can scale without automation. One can assume that the machines will be learning from this pilot.

The post Google launches Ads Added by AdWords pilot: what we know so far appeared first on Search Engine Land.



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How to go above and beyond with your content

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We’re creating a lot of content these days. It’s everywhere. Everyone is writing; everyone has a blog. I’m truly waiting for the day when my mom asks me how she can start a blog to impart her wisdom about how to behave properly in a restaurant.

With the nonstop stream of content being created, it sometimes seems like not everyone is really thinking about how to make their content stand out. I remember that a few years ago, a friend asked me why I hadn’t written a piece about some SEO topic that everyone else was writing about. I explained that I didn’t think I had anything to add to what was out there. If everyone else is saying it, why would you? Wouldn’t you rather say something else, or something better?

For example, around Halloween I was searching for lists of the scariest movies ever made. I kept finding great lists full of movies I’d never even heard of, but one big thing was missing: none that I found showed you where you could stream the films or rent/buy them.

All these articles had some unique perspectives to them, too. Some listed the trailers for the films. Some were filled with recommendations from famous actors and directors. However, for me, as a big fan of streaming services, I was quite disappointed to not see any that told me where to find them and linked to those sources. This definitely stood out as something that I’d have added myself.

Let’s take a look at this article from GQ: “The 7 Best Scary Movies You Can Watch on Netflix.”

devil2 Netflix

It’s even about Netflix, but instead of giving you a link to the movie on that site, they show you the trailers. I mean I’m certainly capable of searching for a movie on Netflix (in fact, I’m pretty close to an expert on it) but as a link builder all I think is, “This is a wasted chance to link.” You see the section about the movie “Creep?” Wouldn’t it be nice if they’d linked to it on Netflix?

Here’s another example, from Thrillist, where the author could have linked out more: “15 Terrifying Movies That Prey On Your Phobias

So they do tell you where to get the film, but they don’t link to it! Why not? And in the “Honorable Mentions” sections, they list other films but leave it up to you to go search for them. If I had a horror movie site, and someone approached me with an alternative piece that linked to where to find these films, I’d favor that over this one any day.

We can do better

The beauty of a tool like BuzzSumo or Ahrefs Content Explorer is that you can easily see what content is performing well on what platforms. If you see several articles getting a lot of traction on Twitter, and you have a very similar piece in the works, look at what they don’t have and add it to your own.

Notice how this POPSUGAR article on the best national parks links to the parks mentioned, as it should. You get great photos, too.

Yosemite

Now, take a look at this article on dog-friendly national parks. It gives great info, but I think they could do more.

dog-friendly-park

This article has over 3700 shares, according to BuzzSumo.

To give you an example of how someone could use this idea and go above and beyond, here’s a great content opportunity for a site that sells dog collars to do a nice blog post on that same topic, linking to the parks themselves. Maybe they ask for visitors to send in photos of their dogs in these parks, wearing the collars they sell. That would be a nice way to get some great social shares, wouldn’t it?

Let’s go forward with that more specific niche and find one more example of something that could be made better.

Consider this article: “Which National Parks Are Dog-Friendly?” Again, wouldn’t this one be better if the article linked out to the parks it lists?

They do include some nice info, though. They provide a list of free admission dates for the year (the article was from 2016, so it’s for that year), and they have summarized the pet policies for each park, which is pretty nice. They don’t have a photo of each park, though, and since a national park is such a visual experience, all I’m thinking is, “Why not?”

ruff parks

It has 212 total shares according to BuzzSumo, but I think it would have had more if it had contained outbound links and more photos.

Now, even if you’re not trying to create new content, you could surely look at all of this and see that other articles about dog-friendly national parks did contain links and photos, and you could thus update your piece and re-socialize it. Maybe you could add videos of drone footage of the parks or give tips on the best times to visit each one. What about linking to camping options or other accommodations for each park?

For one thing, if you have content that doesn’t stand out for having all it could have, you’re opening yourself up to potentially losing that link to someone else. It’s like broken link building, really. “We noticed you have a link to X piece, but our Y piece actually gives more information — so would you think about replacing the old link with ours?”

I recently received an email asking me if I’d consider updating an old article where I linked to a tool review. The person reaching out said that on her blog, they had recently reviewed this tool and wondered if I could change my link to their review instead, as it was much more comprehensive and reviewed several new features. If I weren’t such a lazy person, I might be tempted.

So, what can you add to make your content better?

And last, but not least… outbound links! Don’t ever be afraid to link out if it helps your audience.

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How machine learning impacts the need for quality content

Back in August, I posited the concept of a two-factor ranking model for SEO. The idea was to greatly simplify SEO for most publishers and to remind them that the finer points of SEO don’t matter if you don’t get the basics right. This concept leads to a basic ranking model that looks like this:

ranking score

To look at it a little differently, here is a way of assessing the importance of content quality:

chances of ranking

The reason that machine learning is important to this picture is that search engines are investing heavily in improving their understanding of language. Hummingbird was the first algorithm publicly announced by Google that focused largely on addressing an understanding of natural language, and RankBrain was the next such algorithm.

I believe that these investments are focused on goals such as these:

  1. Better understanding user intent
  2. Better evaluating content quality

We also know that Google (and other engines) are interested in leveraging user satisfaction/user engagement data as well. Though it’s less clear exactly what signals they will key in on, it seems likely that this is another place for machine learning to play a role.

Today, I’m going to explore the state of the state as it relates to content quality, and how I think machine learning is likely to drive the evolution of that.

Content quality improvement case studies

A large number of the sites that we see continue to under-invest in adding content to their pages. This is very common with e-commerce sites. Too many of them create their pages, add the products and product descriptions, and then think they are done. This is a mistake.

For example, adding unique user reviews specific to the products on the page is very effective. At Stone Temple, we worked on one site where adding user reviews led to a traffic increase of 45 percent on the pages included in the test.

We also did a test where we took existing text on category pages that had originally been crafted as “SEO text” and replaced it. The so-called SEO text was not written with users in mind and hence added little value to the page. We replaced the SEO text with a true mini-guide specific to the categories on which the content resided. We saw a gain of 68 percent to the traffic on those pages. We also had some control pages for which we made no changes, and traffic to those dropped 11 percent, so the net gain was just shy of 80 percent:

impact of new content

Note that our text was handcrafted and tuned with an explicit goal of adding value to the tested pages. So this wasn’t cheap or easy to implement, but it was still quite cost-effective, given that we did this on major category pages for the site.

These two examples show us that investing in improving content quality can offer significant benefits. Now let’s explore how machine learning may make this even more important.

Impact of machine learning

Let’s start by looking at our major ranking factors and see how machine learning might change them.

Content quality

Showing high-quality content in search results will remain critical to the search engines. Machine learning algorithms like RankBrain have improved their ability to understand human language. One example of this is the query that Gary Illyes shared with me: “can you get 100% score on Super Mario without walkthrough.”

Prior to RankBrain, the word “without” was ignored by the Google algorithm, causing it to return examples of walkthroughs, when what the user wanted was to be able to get a result telling them how to do it without a walkthrough. RankBrain was largely focused on long-tail search queries and represented a good step forward in understanding user intent for such queries.

But Google has a long way to go. For example, consider the following query:

why are down comforters the best

In this query, Google appears unclear on how the word “best” is being used. The query is not about the best down comforters, but instead is about why down comforters are better than other types of comforters.

Let’s take a look at another example:

coldest-day-in-us-history

See how the article identifies that the coldest day in US history occurred in Alaska, but then doesn’t actually provide the detailed answer in the Featured Snippet? The interesting thing here is that the article Google pulled the answer from actually does tell you both the date and the temperature of the coldest day in the US — Google just missed it.

These things are not that complicated, when you look at them one at a time, for Google to fix. The current limitations arise because of the complexity of language and the scale of machine learning required to fix it. The approach to fixing it requires building larger and larger sets of examples like the two I shared above, then using them to help train better machine learning-derived algorithms.

RankBrain was one major step forward for Google, but the work is ongoing. The company is making massive investments in taking their understanding of language forward in dramatic ways. The following excerpt, from USA Today, starts with a quote from Google’s senior program manager, Linne Ha, who runs the Pygmalion team of linguists at the company:

“We’re coming up with rules and exceptions to train the computer,” Ha says. “Why do we say ‘the president of the United States?’ And why do we not say ‘the president of the France?’ There are all sorts of inconsistencies within our language and within every language. For humans it seems obvious and natural, but for machines it’s actually quite difficult.”

The Pygmalion team at Google is the one that is focused on improving Google’s understanding of natural language. Some of the things that will improve at the same time are their understanding of:

  1. what pages on the web best match the user’s intent as implied by the query.
  2. how comprehensive a page is in addressing the user’s needs.

As they do that, their capabilities for measuring the quality of content and how well it addresses the user intent will grow, and this will therefore become a larger and larger ranking factor over time.

User engagement/satisfaction

As already noted, we know that search engines use various methods for measuring user engagement. They’ve already publicly revealed that they use CTR as a quality control factor, and many believe that they use it as a direct ranking factor. Regardless, it’s reasonable to expect that search engines will continue to seek out more useful ways to have user signals play a bigger role in search ranking.

There is a type of machine learning called “reinforcement learning” that may come into play here. What if you could try different sets of search results, see how they perform, and then use that as input to directly refine and improve the search results in an automated way? In other words, could you simply collect user engagement signals and use them to dynamically try different types of search results for queries, and then keep tweaking them until you find the best set of results?

But it turns out that this is a very hard problem to solve. Jeff Dean, who many consider one of the leaders of the machine learning efforts at Google, had this to say about measuring user engagement in a recent interview he did with Fortune:

An example of a messier reinforcement learning problem is perhaps trying to use it in what search results should I show. There’s a much broader set of search results I can show in response to different queries, and the reward signal is a little noisy. Like if a user looks at a search result and likes it or doesn’t like it, that’s not that obvious.

Nonetheless, I expect that this is a continuing area of investment by Google. And, if you think about it, user engagement and satisfaction has an important interaction with content quality. In fact, it helps us think about what content quality really represents: web pages that meet the needs of a significant portion of the people who land on them. This means several things:

  1. The product/service/information they are looking for is present on the page.
  2. They can find it with relative ease on the page.
  3. Supporting products/services/information they want can also be easily found on the page.
  4. The page/website gives them confidence that you’re a reputable source to interact with.
  5. The overall design offers an engaging experience.

As Google’s machine learning capabilities advance, they will get better at measuring the page quality itself, or various types of user engagement signals that show what users think about the page quality. This means that you will need to invest in creating pages that fit the criteria laid out in the five points above. If you do, it will give you an edge in your digital marketing strategies — and if you don’t, you’ll end up suffering a a result.

Summary

There are huge changes in the wind, and they’re going to dramatically impact your approach to digital marketing. Your basic priorities won’t change, as you’ll still need to:

  1. create high-quality content.
  2. measure and continuously improve user satisfaction with your site.
  3. establish authority with links.

The big question is, are you really doing enough of these things today? In my experience, most companies under-invest in the continuous improvement of content quality and improving user satisfaction. It’s time to start putting more focus on these things. As Google and other search engines get better at determining content quality, the winners and losers in the search results will begin to shift in dramatic ways.

Google’s focus is on providing better and better results, as this leads to more market share for them and thus higher levels of revenue. Best to get on board the content quality train now — before it leaves the station and leaves you behind!

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AdWords IF functions roll out for ad customization as Standard Text Ads sunset

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First, a moment of silence for the Standard Text Ad format that held on for 15+ years. Today marks the end. And with that, Google is rolling out AdWords IF functions globally to give advertisers the ability to customize their ads in much the same way ad customizers allow, but without the feed.

With IF functions,text ads can be tailored based on whether users are on mobile and/or a member of an audience list. For example, Frederick Vallaeys wrote in his column about using the IF function for mobile last fall when the feature was first announced as a way for advertisers who were running mobile preferred Standard Text Ads to continue customizing ads for mobile users.

In the example below from Google, an If function is used to customize the description offer based on whether a user is in the advertiser’s “Cart Abanodoners” retargeting list. If they on the list, users will see a “15% off” promotion; if not, they’ll get a “10% off” offer.

google-adwords-if-functions-abandon-cart

Syntax

Broken down, the syntax for IF functions is:

  1. Start with “{=IF”
  2. Add an open “(” after IF
  3. Follow with the targeting of “device=mobile” or “audience IN”
    1. If you’re using audience targeting, put the list you want to target inside parentheses. If you are targeting multiple audience lists, separate them with a comma.
  4. Put a comma after the targeting
  5. Add the text to insert when targeting criteria is met
  6. Close “)”
  7. Follow with a colon “:”
  8. After the colon, add the default text that will be used when the targeting criteria is not met
  9. End with the closing curly bracket “}”

Put together it looks like this:

{=IF(device=mobile or audience IN(audiencelist1,audiencelist2), Custom Text): Default Text}

A few more things to note

If you’re creating ads in the web UI, the IF function option will become available when you enter a curly bracket “{“. However, for now at least, it defaults to the mobile targeting syntax: {=IF(device=mobile,insert text):default text}. You’ll have to change it for audience targeting, and be sure to use the exact list name.

IF functions can be used anywhere in an Expanded Text Ad except for the final URL. They are only eligible to run on the Search Network.

And last but not least, with the default text provided with IF functions, advertisers don’t have to have an ad that doesn’t use customizers ad in their ad groups.

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The PPC industry would not exist under Trump’s immigration policy

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President Donald Trump’s executive order barring people from seven predominantly Muslim countries from entering the United States, even if they have a valid visa or green card, is not the way to “make America great again.” In fact, the online marketing industry as we know it would not exist had this order been in effect in Google’s early days.

Let me explain.

One of the most successful companies to come out of the US in the past two decades is Google, founded by Sergey Brin, a Russian and Larry Page, an American. While they had a great search engine, there was no business model. According to John Battelle in “The Search,” Google was months away from shutting down in 1999, when it was spending $500,000 per month with only $20 million in the bank and no significant revenues of any kind.

Employee #9, Salar Kamangar, born in Tehran, Iran, is credited with figuring out how to start making money by selling relevant ads on Google.* Employee #11, Omid Kordestani, also born in Tehran, figured out how to scale that business.

How much did it scale? In 2016, Google parent Alphabet Inc. and Apple went back and forth for holding the honors of being the world’s most valuable company based on market cap. On January 26, 2017, Google, the part of the business including ads, reported Q4 2016 revenues of $25.8 billion with profits of $7.8 billion. It is estimated that about 90 percent of Alphabet’s revenue comes from ads.

Had it not been for two Iranian immigrants and all the profits Google makes from selling ads, Google might no longer exist today. When I worked there from 2002–2012, I found ads tremendously exciting, but I also knew that my work helped fund all the things that make our lives more convenient and that we could not imagine being without, like Maps, Search, Gmail, Apps, and soon, self-driving cars.

And the benefits haven’t been limited to making life more convenient or giving all of us in the online marketing industry our careers and livelihoods. It’s benefited companies of all sizes everywhere. Across the US, Google’s search and advertising tools helped 1.4 million businesses drive $165 billion in economic activity in 2015.

And that is why I will argue that President Trump’s latest executive order is misguided.

Disclaimer: The views and opinions expressed in this post are my personal ones.

*The pay-per-click advertising model was invented by Bill Gross of Idealab. Salar’s unique twist was to make ad relevance part of the ranking algorithm. Online ads at the time were on the decline because users hated how irrelevant and interruptive they were. By making them relevant, users started to click on ads to connect with companies that could help them, a true win-win.

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Majestic successfully prints the internet in 3-D in outer space

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As you may remember, Majestic, an SEO toolset company, set off on a voyage last year to print the internet in 3D in outer space. Well, we are glad to report that that mission has been a success.

After 18-months, the “Majestic Landscape,” which is a 3D data visualization sculpture that depicts the internet graph was printed on a 3D printer designed to work in zero gravity on the International Space Station.

Matthew Napoli, the VP of In-Space Operations for Made In Space, Inc. said, “the print looks really good. It was exciting to be able to print those complex digital features in microgravity and see the great results.”

Dixon Jones from Majestic said, “the #MajesticInSpace Project has been about expanding ideas, expanding knowledge leadership and about believing that data can be more than just numbers on an excel spreadsheet. I think that it also inspires people within our industry to say we are doing more there is more that we can do in the world to advance humankind.”

Here is a photo:

MajesticInSpace-Article-in-Space

Here is a video from Majestic on this mission:

Here is a GIF of it floating in the space station:

MajesticInSpace-Article-in-Space

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Google mobile-friendly testing tool now has API access

Google has released a new API for the mobile-friendly testing tool named the mobile-friendly test API.

The API is a simple and quick tool that you can use to build your own tools to see what pages are mobile-friendly or not.

Google’s John Mueller said “the API method runs all tests, and returns the same information – including a list of the blocked URLs – as the manual test.” “The documentation includes simple samples to help get you started quickly,” he added.”

The API test outputs include these three statuses:

  • MOBILE_FRIENDLY_TEST_RESULT_UNSPECIFIED Internal error when running this test. Please try running the test again.
  • MOBILE_FRIENDLY The page is mobile friendly.
  • NOT_MOBILE_FRIENDLY The page is not mobile friendly.

You can access the API at http://ift.tt/2kmS3af.

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Monday, January 30, 2017

Updated for 2017 — Enterprise SEO Platforms: A Marketer’s Guide

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The “Enterprise SEO Platforms: A Marketer’s Guide,” from our sister-site MarTech Today, examines the market for enterprise SEO software platforms and the considerations involved in implementing this software into your business.

If you are considering licensing an SEO software tool, this report will help you decide whether or not you need to. The report has been updated for 2017 to include the latest trends, opportunities and challenges facing the market for SEO software tools as seen by industry leaders, vendors and their customers.

Also included in the report are profiles of 13 leading SEO tools vendors, pricing charts, capabilities comparisons, and recommended steps for evaluating and purchasing.

Visit Digital Marketing Depot to download this MarTech Today report.

The post Updated for 2017 — Enterprise SEO Platforms: A Marketer’s Guide appeared first on Search Engine Land.



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SearchCap: Google News AMP, LSA survey & Google doodle

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Below is what happened in search today, as reported on Search Engine Land and from other places across the web.

From Search Engine Land:

Recent Headlines From Marketing Land, Our Sister Site Dedicated To Internet Marketing:

Search News From Around The Web:

Local & Maps

Link Building

Searching

SEO

SEM / Paid Search

The post SearchCap: Google News AMP, LSA survey & Google doodle appeared first on Search Engine Land.



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Google AMP results in Google News more than doubles

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A report from RankRanger, a toolset that tracks the Google results, shows that the AMP results shown in the Google News section for mobile users has more than doubled in the past several days. A week or so ago, AMP content was showing in Google News for about 30% of the news results. Now it is more than double that in the Google News US based mobile section, with 70% of the news results returning AMP content.

Mordy Oberstein from RankRanger said “the number of AMP optimized news articles appearing within Google’s Top Stories on mobile has skyrocketed across the globe.”

On January 25,2016, RankRanger reported about 30% of mobile Google News box results in the US showing as AMP. On January 29th that number hit 70%.

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Here is a chart showing the rollout and increase by country:

google-amp-news-global

It is unclear if this is a glitch or a change in the algorithm where Google is showing more AMP for mobile users in Google News. We have sent a request to learn more about this change to Google.

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Your Customers Don’t Care About Your Product: They Care About Progress

It’s true. Your customers don’t care about your product. Don’t worry, they don’t care about your competitor’s products either. Your customers don’t care about any products. Thankfully, your customers do care about something, which is why they buy your product.

Your customers care about the progress they will make as a result of using your product.

As Growth Marketers and Product Builders, it’s our job to make sure customers understand how our product will change them for the better. Then we can create an efficient customer funnel that turns potential customers into loyal, repeat customers. We use data to optimize each stage of the user lifecycle. However, it’s easy to get bogged down in user data and product features. When we lose sight of whether or not our customers have realized the better life we’ve promised, the customer becomes stuck in our funnel and we lose our customer.

By understanding the progress our customers are hoping to make, we can increase conversions at any stage of the user lifecycle: Acquisition, Activation, Retention, Revenue, and Referral.

Customers Buy Progress

Customers actually don’t buy your product. They aspire to be more awesome, and they believe your product will help them get there. They buy the vision of themselves being more awesome. This visual from Samuel Hulick explains why customers buy products.

what-you-sell-what-customers-buy

Customer progress is a key concept of Jobs To Be Done (JTBD). I was first introduced to the above Super Mario graphic by Alan Klement’s book on JTBD, When Coffee & Kale Compete. The JTBD helps us focus on the customer’s desire to make life better and the progress they are hoping to achieve. With this focus, we can grow faster and build better products.

Alan lists 10 JTBD principles in his book. We’ll focus on two.

  1. Customers don’t want your product or what it does; they want help making their lives better.
  2. Solutions and Jobs should be thought of as parts of system that work together to deliver progress to customers.

The rest of this article will show how growth and product teams at B2B and B2C orgs have used these two principles to create better top of funnel marketing messages and increase LTV and retention through progress-centric product updates.

Acquisition

  • Create ads and content that focus on progress. Progress is overcoming an emotional struggle to make one’s life better.
  • Make sure you have the right understanding of progress for your audience.

Case Study

TownHound was a dual-sided marketplace that was picked up by Google just 8 months after launch. It was a mobile app that brought restaurants more patrons during off-peak hours by offering discounts to its users. In just 3 months, TownHound was able to sign on 6x more restaurant partners in the San Jose, CA region than it’s behemoth competitor Groupon.

This is a huge accomplishment because two-sided marketplaces are tricky. You need a high volume of Demand (customers redeeming TownHound deals) in order to build up Supply (restaurant partners that offer deals). Bryan Solar, Co-Founder of TownHound, understood the progress that his customers were hoping to achieve, which he used to guide his paid acquisition strategy.

Early on, his Facebook and Instagram ads were just doing okay. TownHound was bringing on new users, but they weren’t sticky. Users would download the app, redeem a single deal, and then poof, they were gone. He wasn’t acquiring the right users.

He needed more quality users in order to satisfy the balance of his two-sided marketplace. He decided to interview customers that had redeemed more than one deal.

Bryan’s interviews led to a huge discovery. He learned that his best users were dating app users. His repeat customers were using TownHound while on first, second, or third dates.

  • TownHound’s Restaurant partners want more patrons during slow hours: Monday – Thursday nights.
  • Dating app users typically meet for dinner during the week because weekends are too precious to waste on a potentially traumatic first Tinder date experience.
  • It’s a match!

Bryan learned that his best customers didn’t use TownHound to get discounts on meals. They use TownHound in order to find the right person for a relationship. He also understood that his customers didn’t necessarily love to go on dates. Dates are exciting, but they’re also stressful and expensive. For many, dates are a necessary evil.

When TownHound’s ad content changed, quality user growth and restaurant partner growth rapidly increased.

  • Before: Ads focused on saving money on dinner.
  • After: Ads focused on relieving the pain of going on expensive dates.

Bryan found his core audience and tailored acquisition efforts to focus on their progress, rather than the function of his product.

Activation

  • Re-highlight the progress that was promised in acquisition.
  • Link onboarding process to progress or overcoming a struggling moment.

Samuel Hulick, the creator of the Super Mario graphic above, runs UserOnboard.com – a site dedicated to onboarding and activating users. He sat down with Ryan Singer of Basecamp and discussed how JTBD can be applied to the onboarding process. Ryan noticed a change in the way he approaches onboarding when customer progress is his goal.

“That’s really interesting to look through a Jobs-to-Be-Done lens, because then the question becomes ‘what can we do to help this person decide that this is the right tool for them?’ That’s a very different task for the designer than ‘how can I thoroughly explain the mechanisms of my products?’”

Case Study

Le Tote is an e-commerce subscription service for women that delivers a personalized box of clothes directly to their customer’s doorstep. Le Tote’s monthly subscription lets customers wear the clothes they receive as long as they want, and then receive a new box in exchange for sending back their previously worn garments. Le Tote is old-school Netflix for women’s clothes.

Le Tote uses style preferences, ratings of previously shipped garments, and sizing info to curate a box of clothes for each customer. In theory, the more you use Le Tote, the better the service is at matching you with clothes you’ll love.

However, Le Tote doesn’t have a history of customer feedback to leverage when shipping a box to a first time user. It’s critical that Le Tote gets the first box right because it’s essentially a “test drive.” Send a bad box to a first time user and the likelihood of them sticking around for a second box is slim.

If the first box is critical to a new user adopting Le Tote, then the onboarding process incredibly important. Le Tote needs to gather as much info about their customer’s style preferences during onboarding as possible in order to make a great first impression, without bombarding users with tedious onboarding tasks. So how does Le Tote get users through a lengthy onboarding process without seeing a drop in conversion?

Here are two steps in the process. The user is met with easy to answer questions about occasions that are hard to dress for and weather, which is uncontrollable.

Le-Tote-App-Onboarding

Now, think about the progress that Le Tote’s customers are hoping to achieve. They want access to new, trendy clothes in order to feel confident in situations that matter. Buying a new garment from a traditional e-commerce site for every special occasion can get expensive. Plus, ‘that perfect new shirt’ tends to lose it’s magic after a few wears and a couple months in the closet. A Le Tote customer wants to feel confident in new clothes while maintaining wallet-friendly peace of mind.

Le Tote communicates progress by highlighting a few occasions that customers have struggled to get ready for in the past. This reminds the user why she’s jumping through onboarding hoops — to overcome these struggling moments and make progress. This is easily forgotten when onboarding focuses too much on the product and not the user, and we activate fewer users as a result.

Retention

  • Use data to track changes in usage behavior.
  • Interview customers when behaviors change to understand if customers are making progress.
  • Make product changes when features are standing in the way of progress.

Your marketing and sales efforts have promised the solution to a struggling moment, and your customer has chosen your product to take them from ‘Normal Mario’ to ‘Awesome Fireball Throwing Mario’.

If you don’t deliver progress, your customers will churn. How do we know that we’re delivering progress?

Behavioral data helps us understand which features are being used and how often customers are coming back. This data is incredibly actionable, but it doesn’t tell us if our customers are actually making progress.

Customer interviews are key to improving retention. Data will help uncover behavior changes of our customers, but interviews will reveal the why behind those changes. Alan Klement gives us examples of behavior changes to investigate through customer interviews: “When someone purchases a product, begins to use a new product, stops using a product, suddenly uses a product more, and suddenly uses a product less.” (p. 190).

Case Study

Wade Warren, Co-Founder of Resource, is using JTBD to guide the product roadmap of his candidate sourcing platform. Resource finds candidates and then writes personalized, custom outreach that comes from an internal recruiter’s identity. It’s a platform that helps recruiters with limited hiring bandwidth to build teams faster.

Resource has a feature where new candidates are automatically screened in – which means that they are contacted without explicit recruiter approval.

Wade noticed a decline in usage in the product. People were signing up for Resource, adding a number of roles and using it for a few weeks, before suddenly pausing their roles and stopping usage. His team interviewed customers to understand the root of the issue. One of his interviewees was a user that had stopped using Resource, but then began to use it again.

She got responses from a few candidates who had been automatically screened and was forced to speak with candidates that weren’t a good fit, which caused anxiety. She paused her Resource roles and went back to contacting candidates through Linkedin.

Then, she saw a recruiter on her team using a buried feature that allowed her to individually pick the candidates to be contacted: “I saw Sarah clicking approve and asked, ‘what is that’. She explained to me that you can screen each individual candidate in Resource if you change this setting.” She immediately went back to Resource.

Wade heard this same story from a few different customers, so his team made a product change. Automated screening was switched from a default feature to a feature that must be toggled on by the user. Once this switch was made, he saw usage go up and churn decrease across all of his customers.

Although the original feature performed its intended function of reducing work for his customers, it caused anxiety. Wade’s interviews helped him better understand the progress his customers wanted to achieve: “We didn’t think that giving our customers more work in the product would mean them making more progress, but counterintuitively did.”

Revenue

  • You’ve already delivered some progress. Find ways to deliver more progress.
  • Add features that make progress easier to achieve.

Case Study

When Bryan’s team at TownHound focused their acquisition strategy on dating app users, he started acquiring quality users. He noticed an increase in quality feedback as a result. The feedback he got informed a product update that increased both retention and revenue because it helped to deliver more progress for his users.

TownHound rolled out a new feature that is similar to a feature in the expense reporting app, Expensify. The new feature allowed users to redeem their discounts by snapping a photo of the paper receipt in the app after the meal was over. Before this feature, the user could only redeem a discount by showing a waiter or waitress a confirmation page in the app during the meal.

At its surface, this new feature provides TownHound users more flexibility when redeeming their discounts while at dinner. It could even allow a user to redeem a discount after leaving the restaurant if they forgot to show their waiter the in app coupon.

The new snap-a-photo feature does offer flexibility, but more importantly, it contributes to progress for users who are on dates. Dates are stressful because first, second, and third impressions matter. We want to impress the person sitting across the table. Although most would agree that living frugally where we can is an admirable characteristic, a first date typically isn’t the place to tout this trait. The new snap-a-photo feature allows a TownHound user to redeem their discount without their date knowing. They don’t have to worry about being perceived as cheap!

TownHound is used to help create a meaningful dining experience for users that are looking for a new relationship. Bryan’s team at TownHound had a deep understanding of the progress his customers were hoping to make and the role that TownHound played in delivering that progress. If he had viewed his product simply as a “deals app”, he wouldn’t have been able to make a key product update that brought in more revenue as more users redeemed second, third, and fourth deals.

Referral

  • Use incentives that align with progress to influence referrals.
  • Don’t assume increased credits, storage, or currency equals progress.

If you help your customers make progress, it’s likely that their friends will hear about your product. Unfortunately, word of mouth alone won’t raise our K Factor above 1, so we must encourage referrals. Social networks like Linkedin and Twitter have had huge wins through productized referrals. Josh Elman explains how his teams at Twitter and Linkedin created winning referral programs in this video called 3 Growth Hacks: The Secrets To Driving Massive User Growth:

Linkedin and Twitter are social networks, so the “better with friends” referral play works incredibly well. What about products that aren’t social? How do we build an effective referral program for customers?

The common referral incentive we see looks like this: “If you use my referral code when you sign up, we each get $10 off our purchase.” Sometimes the reward for the referrer is delayed until the new user makes a purchase, but there is usually a give and a get incentive. In other words, “I give you $10, I get $10.”

Case Study

Le Tote used the standard give/get strategy early on, but couldn’t find the right mix of give/get secret sauce in order for their referral program to take off. Le Tote is not a social product.

Before working as Director of Growth at Le Tote, Luke Langon implemented referral programs at Lyft and two other mobile apps that he co-founded. Luke interviewed his customers in order to find out what give/get incentive would work best. His goal was to increase the percentage of users participating in referrals.

He learned that many of his customers weren’t referring friends because their give of $25 only covered half the cost of their friend’s Le Tote box. This means that their friend would still have to pay in order to test drive Le Tote. His customers didn’t like the idea of recommending a new product that forced their friends to pay. The get of $15 was intended to incentivize a referral, but not all customers were motivated by saving money on their next Le Tote box.

Le Tote’s referral program became a top acquisition channel when it shifted from ‘Give $25/Get $15’, to ‘Give a free box, Get nothing.’ Referrals achieved the lowest Cost Per Acquisition compared to all other acquisition channels and ranked second in volume of new subscribers.

Le Tote’s subscription does help customers save money on new clothes, but this isn’t how they make progress. Le Tote’s customers make progress by feeling confident during important occasions involving people they want to maintain or create a healthy relationship with. This progress is more important than saving money, which is why the old referral program didn’t work for many customers.

How to start using progress to benefit you and your customers

Customer interviews will help you discover what progress means to your customers. Remember, progress is overcoming an emotional struggle to make one’s life better. You need to uncover an emotional hurdle that has nothing to do with your product. When you use progress as your guide, you will create more wins throughout the entire customer lifecycle.

If you’re interested in learning more about Jobs To Be Done, JTBD.info is a great place to start. It’s run by Alan Klement, who’s book I linked at the beginning of this article.

If you have any questions or thoughts, please comment below or feel free to reach out!

About the Author: Chris Brophy likes to drive growth for consumer-focused startups. He’s currently consulting startups on growth strategy at Tradecraft and exploring his next adventure. If you’d like to chat about growth, JTBD, or live music, reach him at cabrophy89[at]gmail[dot]com.

SMBs are overwhelmed with digital marketing choices. How to stand out and win their business.

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Small and medium-sized businesses (SMBs) get almost 24 calls a month from marketing providers looking to sell them advertising or marketing products and services. Competition is fierce, and SMBs often have a difficult time choosing a provider.

Last month, I covered how the trend of fake online content leads to a general distrust of digital and online media. But the local digital marketing industry, especially in the area of SEO, suffers from its own share of issues that lead to a lack of trust by SMBs.

LSA (Local Search Association) conducted a survey to examine what challenges SMBs face when shopping for a digital marketing provider and what areas they feel are most important for marketers to address when trying to gain their business.

Below I discuss the results of the survey, data regarding client churn in the industry and ways in which marketers need to respond. Lastly, I share some information on a new certification program that LSA is launching to address these problems.

Top challenges in finding a marketing provider

LSA’s survey found that the top challenges expressed by SMBs when shopping for a marketing provider were:

  • finding a reasonably priced service provider (56 percent)
  • finding a provider that provides value or ROI (44 percent)
  • finding a provider that can be trusted (38 percent)
  • finding providers that understand their needs (35 percent)

Other questions asked in the survey that reflect what SMBs want from their marketing partners provide further insight into these numbers. SMBs aren’t just concerned with the bottom-line cost, but also with knowing what the price includes. Eighty-six percent of SMBs responded that a clear statement of pricing or costs from providers was very or extremely important. Likewise, 82 percent of SMBs stated that it’s very or extremely important that a provider fairly represents its expertise, the product or service being sold, credentials and past performance.

Thus, the top four challenges listed above are related in that SMBs have difficulty trusting that what they are buying really will pay off and meet their needs.

SMBs also want agreements with providers to be clear, especially in the areas of length of the agreement, how they can terminate an agreement, a schedule for payment and what happens when there is a dispute between the SMB and provider. Seventy to 80 percent of SMBs rated these areas as very or extremely important. A similar percentage of SMBs wanted assurances that they will receive reliable customer service in communicating with them once an agreement is in place.

Sixty to 70 percent of SMBs felt regular reporting, an evaluation of whether they were a good fit for specific marketing products/services and setting reasonable expectations were very or extremely important.

Sales tips based on what SMBs want

The challenges SMBS face in finding a provider they feel comfortable with are becoming even more pronounced as they are targeted by an increasing number of remote sales calls. Recent data from Borrell Associates revealed the number of sales calls received by SMBs per month increased over 60 percent last year, from 14.6 calls in 2015 to 23.7 calls in 2016.

Knowing what information SMBs express as important to their decision when shopping for a digital marketing provider can help marketers understand how to build trust and confidence with a potential client during the sales process. Here are a few tips based on the survey results:

  • Be very open about your pricing, and don’t dodge questions or give nonresponsive answers to requests for more information or specificity.
  • Have backup ready to support representations you make about your expertise, credentials and past performance. Offer to send them links to supporting documentation.
  • Share some examples of when your product or service might not be suitable so that you provide a balanced review.
  • Keep agreements clear and simple, and don’t hide the abovementioned specific areas of concern in fine print, including length of contract, payment details, how to reach someone if there are issues or concerns, and ultimately, how the agreement may be canceled.
  • Explain your customer service standards and what access is available to accounting and performance reports.

Some disclosures might seem counterintuitive to making a sale, but the credibility gained by demonstrating transparency and honesty should lead to positive results.

Dealing with unfair competition

Local search marketers also face competition, both from outright scams and unfair or questionable sales tactics by companies who actually offer real marketing products. It’s difficult to know what percentage of sales calls or communications are from these bad apples, but it doesn’t take much to poison the whole barrel.

Here are some examples of the bad sales practices that leave SMBs with negative experiences and cause them to shop for digital marketing services skeptically.

  • Sales pitches that are misleading. Promises are made that are disguised using nonspecific performance outcomes or meaningless results. For example, promising to secure a #1 Google ranking or page one search results without specifying that the result is for very specific keywords, not broad search terms. A business is likely already the top result for a search that includes the full name of the business and its location.
  • Low-cost services that rely on upselling. A form of bait and switch where the SMB is lured in by a low-cost agreement or plan that then only serves as an opportunity to sell real services at higher costs. Alternately, those other services are automatically billed once payment information is secured.
  • Services without accountability. Services are provided, but the client has no reporting or metrics to gauge the effectiveness or return on its marketing spend. Recurring charges are continued until the client finally cancels.
  • A focus on profitability instead of client interests. Marketing products or services are recommended or prioritized by how lucrative it is for the marketer as opposed to how well it helps the client.

Being aware of these tactics will help providers understand the mindset of some SMBs during sales calls or while trying to make contact. Ultimately, demonstrating transparency and honesty and showing that the provider is sensitive to these concerns will help win over SMBs that have legitimate reasons to question who they do business with.

The importance of fulfillment and churn

A genuine sales process that keeps expectations realistic has an impact beyond making the sale: it also affects client retention.  Marketing agencies have traditionally struggled in this area with historically high churn rates.

An LSA Report titled “SMB Advertiser Churn: New Data for an Old Industry Problem” (January 2016) revealed that agencies continue to have one of the highest churn rates by media category at a rate of 40 to 50 percent a year. The only media category that experiences higher churn rates is television. SEO/SEM as a media category also experienced higher-than-typical churn, at an average rate of about 40 percent per year.

LSA data - Agency and SEO churn

Source: LSA Report, “SMB Advertiser Churn: New Data for an Old Industry Problem” (January 2016)

Client retention is important from both a cost and revenue business perspective.  It costs five to 10 times more to sign up a new customer than it does to retain an existing one, according to data shared by Google at LSA’s 2016 Annual Conference.

On the revenue side, Google also shared that selling to existing customers has a 60 to 70 percent probability of success, compared to only five to 20 percent for new customers.

These numbers reveal that clients who see results matching what they were promised in the sales process trust their marketing provider, grow into long-term business relationships and end up being much more profitable accounts.

What can marketers do to earn SMB trust?

LSA created a set of standards that capture those best practices SMBs state would help foster trust in a digital marketing provider.  Reviewing these standards and implementing them into company policies, training, quality control checks and client agreements and communications will go a long way to developing strong client-centric digital marketing sales processes that SMBs look for.

According to the survey, 80 percent of SMBs stated that they would be likely or highly influenced in their choice of digital marketing provider if a provider demonstrated that it adopted these standards.

The standards cover, but are not limited to, the following subject areas:

  • Service agreements and pricing are clear.
  • Sales practices are fair and ethical.
  • Representations made are truthful and accurate.
  • Sales and service reps are trained to meet standards.
  • Clients receive accounting and performance reports.
  • Products and services sold are suitable for the buyer.
  • All terms and conditions for service and performance are defined including how to terminate the agreement.
  • Past performance metrics are accurate.
  • Reasonable expectations are set.
Eighty percent of small and medium-sized businesses stated that they would be likely or highly influenced in their choice of digital marketing provider if a provider demonstrated that it adopted these standards.

One of LSA’s not-for-profit missions is to advocate for and elevate the local search and local marketing industry. In response to the needs identified above, LSA created a first-of-its-kind program called LSA Certification based on those standards (disclosure: I work for LSA).

Unlike other certification programs that focus on subject matter expertise, such as Google AdWords, LSA certification examines companywide policies and processes for digital marketing sales and fulfillment. We hope LSA Certification will help companies identify best practices that are important to adopt and guide them through ways to incorporate those practices into their business operations.

A business can certainly put the standards into practice without becoming certified. Certification, however, requires that a business demonstrate it engages in those best practices. LSA performs a rigorous review of policies, training, company documents and agreements to determine whether business practices meet the standards. If it passes the review, a company may then cite its certification as evidence it complies with those standards.

Closing

Standard features in consumer products often start with one company offering it and others copying the practice or feature to stay competitive. For example, all major cellphone providers now offer unlimited data plans, and side impact air bags are now fairly standard in passenger vehicles.

Our hope is that by raising the bar for digital marketing sellers, more and more agencies and providers in the industry would follow suit and adopt these standards. Better business practices that consider the interests of small businesses and boost the reputation of the industry is a win for all.

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