Thursday, May 26, 2016

SearchCap: Voice search SEO, SEMPO survey & more

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:

Local & Maps

Link Building

SEO

SEM / Paid Search

The post SearchCap: Voice search SEO, SEMPO survey & more appeared first on Search Engine Land.

SEMPO’s latest salary survey shows search marketer average pay up 16% over 2013

seo-money-revenue-ss-1920

According to SEMPO’s most recent salary survey, the average pay for search and digital marketing professionals is up 16 percent since 2013.

The nonprofit organization for SEO and SEM professionals polled nearly 600 search and digital marketing professionals across a variety of roles, from entry-level to executive. Survey questions covered a variety of salary and work-related topics, including compensation packages, bonuses and benefits, professional responsibilities, and search marketing budget sizes.

Other key findings from the survey showed a growth in SEM salaries at the $100,000 range, and the ranks of search veterans also on the rise. On the flip-side, the number of entry-level practitioners was on the decline.

Ninety-four percent of respondents said analytics were a key part of their search duties, and more than 10 percent of respondents claimed to manage 50 or more accounts or websites.

As far as job perks, being able to work remotely was the most-cited work benefit.

Marc Engelsman, SEMPO’s vice president of research said the survey was a nice complement to the group’s annual State of Search survey.

“It provides valuable perspective from a variety of angles on the people who work in our industry and the types of companies they work for,” said Engleman in a release announcing the survey results.

The full survey can be downloaded by SEMPO members at: 2015 Search Salary Survey.

The post SEMPO’s latest salary survey shows search marketer average pay up 16% over 2013 appeared first on Search Engine Land.

The future of voice-related SEO for local business

On May 18, Google brought hundreds of developers together for Google I/O, its annual developer conference. Hot topics included artificial intelligence, natural language processing, voice recognition, translation and new product announcements — Google Home, Google assistant and Allo.

Maybe you’ve heard about some of these, but I’m going to share thoughts on how you should adapt your local marketing to these developments. But first, a brief recap of some of these announcements.

Google Home is Google’s answer to Amazon’s Echo. It’s a voice-activated speaker-like device that can intelligently listen to commands, return answers to queries from Google Search, control home automation, play music and set appointments using a new platform called Google assistant.

Allo is Google’s new messaging app. It uses integrated machine learning and continues to learn your style over time, making it more convenient for users to get things done — make reservations, list tasks, schedule meetings and so on. It also features Smart Reply, which offers suggested replies based on the message content. Allo integrates with the new Google assistant platform, allowing you to easily search for the information you need.

These new product announcements signify a change in the way information is sought and delivered. In a previous article, “No More Typing: How to Prepare for the Next Wave of Voice Search,” I mentioned that as of October 2014, 41 percent of adults and 55 percent of teens used Siri, Google Now or Cortana voice search at least once a day.

Google’s CEO, Sundar Pichai, has revealed that half of the search engine’s queries are from mobile devices, and a fifth of those are made via voice search. Search is moving beyond typing into a white box to bringing Google to wherever you are — desktop, walking around your home, using your phone. Your voice is the new search tool.

Two important themes: machine learning and artificial intelligence

The future is voice-activated search driven by artificial intelligence, natural language processing and machine learning.

Late last year, our company did an experiment with machine learning using our SurePulse platform and the IBM Watson API. We discovered that with machine learning, we can take the analysis of a website beyond the standard SEO elements — such as analyzing the content of a URL with text analysis and ascertaining the tone and emotion of the content.

These announcements from Google are good news for small business owners. In the past, we worried about writing copy that matched keywords, so that search engines could understand and serve up the content in response to the correct terms.

We can now write copy that is conversational, simple and contextual that our users can understand. Voice-activated search combined with machine learning and natural language processing will also be augmented by contextual information about users, including their locations, style and past behavior.

The three key ways to win in voice-activated search

  • Understand the customer’s conversational speech. Ask your team to collect phrases customers are using to describe their problems. Have the marketing team listen in on calls, and whenever sales or account managers meet with clients or prospects offline, have them make note of the commonly used phrases.
  • Interview customers by phone.
  • Ask simple questions to get the customers to give you answers in their own words.

Collecting and using this knowledge must be an effort across your whole company. Gather the intelligence from the front lines and aggregate it in a place where marketing can use it for web copy and sales and support can use it for scripts, FAQs and more.

Connecting the relationship between people, places & things

If you were planning a visit to a foreign country, you could already use Facebook’s Natural Language processing to make the query “Friends who have visited France” and get a result of your Facebook friends who have visited France. Today, a Google search is not likely to return the same results, but we hope it will in the Google assistant-powered world.

As consumers use more voice-activated search, businesses should prepare for contextual searches that may look like:

  • dishes my friends ordered at Toki Underground;
  • movies for kids near me;
  • order a gluten-free pizza with vegetarian toppings;
  • remodeling companies reviewed by my neighbors; or
  • restaurants my friends recommend in Kansas City.

All the products that use artificial intelligence, machine learning and voice search will need permission to observe and learn the consumer’s choice and style.

This will give rise to different kind of tools and data for marketers to get to know their audience.  Maybe a Google Trends-type tool for voice searches will be in the works soon. Until then, do your own experiments.

Amazon Echo already returns local business results from Yelp, so perform some test voice queries and see how you fare. Once Allo and Google Home are available, use them to see (or hear) how your business appears in search, and if it doesn’t, learn lessons from those businesses that are returned in search results.

As consumers use voice search with increasing frequency, the businesses that pay attention to customer conversations will win. In addition, a voice search world will favor marketers who are able to connect their websites with their local presence and provide search engines with as much information as possible using structured data.

Pretty soon, you’ll likely find consumers making queries like “Okay Google! There was a hail storm yesterday, who do I call?” Start preparing now so your company is the one that gets the business.

The post The future of voice-related SEO for local business appeared first on Search Engine Land.

Well played, Google: Advertisers (finally) get more device bidding controls

google-adwords-green2-1920
Just last week, I submitted this column with the title, “Is it time for Google to rethink Enhanced Campaigns?” The piece I wrote was rife with criticisms of the desktop/tablet-centric campaign structure advertisers have been stuck with, and it proposed some possibilities for an upgrade.

And just like that, before it was time for my original submission to publish, it happened. Google announced Tuesday that advertisers will now be able to specify the device of their choosing as the base bid for keywords, and then layer on separate bid modifiers for the other two device types.

This is great news for advertisers, even if embracing this golden gift did mean that I had to totally rewrite a perfectly good but scathing account of the old campaign structure.

In this freshly written column, I’ll walk through the benefits of the new bidding possibilities and explain how advertisers should be thinking about optimizations in the coming weeks and months.

Bye, Felicia — The marriage between desktop and tablet is no more

Oh, happy day!

Ever since Enhanced Campaigns were rolled out in 2013, advertisers have been forced to set the same bids for desktop and tablet devices, as Google saw them as “converging devices” and lumped them together for keyword base bids.

This wasn’t altogether terrible logic in mid-2013, when our company (now Merkle|RKG) put out a Digital Marketing Report that showed tablet revenue per click just eight percent lower than that of desktop. At the time, relatively affluent early iPad adopters dominated tablet traffic share and converted at a rate comparable to what occurred on desktop computers.

However, as cheaper tablet options became available and the demographic of tablet owners shifted, the performance of these two device types diverged. By Q1 2016, non-brand tablet revenue per click was a full 30 percent lower than that of desktop, according to Merkle’s latest Digital Marketing Report (registration required), while cost per click was a mere five percent to 10 percent lower on tablets than desktop. (It’s not totally clear why CPC differed even that much given the identical bids for both.)

rkg-q1-2016-paid-search-mobile-rpc-vs-desktop

Advertisers can now finally set separate bids for desktop and tablet, as Google unmarried the two with its updates, which should result in more efficient ad spend as each device gets the correct bid to reach efficiency targets.

Mobile gets its due

Aside from splitting out desktop and tablet bids, Google also made it possible for advertisers to target campaigns solely to mobile devices, as campaigns can be set to use mobile as the preferred device for base bids with tablet and desktop traffic shut off entirely using -100-percent modifiers.

With the old campaign structure, desktop and tablet devices couldn’t be eliminated from campaigns, and the only “hack” for achieving mobile-only campaigns was to specify very low base bids for desktop/tablet and then multiply them by +300 percent on phones. Certainly not the cleanest of methods.

Even if advertisers don’t wish to shut off targeting to desktop and tablets, the new campaign options allow base bids to be calculated using the most significant data – regardless of which device type that data is tied to.

As phones have grown to account for 44 percent of all Google paid search traffic (for Merkle advertisers as of Q1), many keywords and Google Shopping product groups now see a plurality, or even a majority of all traffic coming from phones.

Since device modifiers can’t be placed at the keyword or product group level, only at the ad group or campaign levels, it makes sense to have the keyword bid targeted to the device type that drives the most traffic, and to then use bid modifiers to adjust for device types with less traffic.

The great campaign structure debate gets new wrinkles

With this new capability to target different device types for base bids, advertisers should probably now consider how much traffic they’re getting from each device type for different keywords (for text ads) and product groups (for Google Shopping campaigns) in assigning them to campaigns.

By assigning keywords and product groups to campaigns based upon the device that drives the most paid search traffic, advertisers can set base bids based on the most statistically significant data.

Additionally, these changes reopen the possibility of having duplicate campaigns to target to different device types. While most advertisers obviously don’t want to undo all of the good that came from Enhanced Campaigns and their elimination of the need for duplication, this might be a sound strategy for advertisers that, for example, see significantly different performance for geo-modifiers on various device types.

By setting up separate versions of a campaign for each device, advertisers can then set separate geo-modifiers for each.

There are a lot of new possibilities, and it will be fun testing in the months to come.

Still not quite the perfect solution

While I hesitate to bring up anything negative, as these changes really are big upgrades over the old campaign requirements, the new way of bidding still doesn’t account for the fact that bid modifiers are placed for separate but dependent variables.

As George Michie wrote in this space about two and a half years ago, the most effective method of bidding would be to set bids for combinations of variables. For example, an advertiser could set specific bids for each keyword-geo-device-audience-etc. combination, without using bid modifiers.

The benefit of this approach is that it removes the problems inherent in stacking modifiers for variables that aren’t independent of one another. For example, the impact device type has on performance might vary depending on the proximity of a user to an advertiser’s brick-and-mortar store and whether that user is included in a remarketing audience.

To understand better, you should go read Michie’s post.

While this setup would allow for the most precise bids, it would also require that Google completely do away with bid modifiers or create a two-tiered system in which more advanced advertisers can take advantage of bidding by variable combination and less advanced advertisers can continue to use modifiers.

In practice, Google AdWords is accessed via a two-tiered system already, in that some paid search managers use the API and others rely on the AdWords UI for management. But Google would likely want to avoid further segmentation.

In addition, the search giant also only just rolled out the new campaign options, so it will probably be a while before we see any big updates again.

Good on ya, Google

It took a while, but Google listened to advertisers clamoring for separate desktop and tablet bids and came through with campaign settings that allow advertisers to do just that. As soon as these changes are rolled out, paid search managers should quickly take advantage of the capabilities to place the most effective bids for each device type.

Advertisers will also finally be able to cleanly target campaigns only to phones, as well as use phones for base bids in campaigns targeting all three device types. This capability should also lead to smarter bidding, as account managers can set campaigns to use the device with the most data for base bids, as well as play around with potentially duplicating campaigns in an effort to set different non-device bid modifiers for each device type.

Despite having to rewrite an entire column, I, for one, am pretty pumped about how we can use the new settings, though the timeline for how quickly these changes will roll out is still murky. Feel free to pre-empt my challenges any time, Google.

The post Well played, Google: Advertisers (finally) get more device bidding controls appeared first on Search Engine Land.

The 5 strangest search terms in 2,000+ AdWords accounts

horse-rabbit-bunny-people-in-park-ss-1920

Over the past two years, my team and I have audited more than 2,000 AdWords accounts. While auditing all of those accounts, we saw a lot of search term reports.

Some search terms were good, some were a waste of money and some… were simply strange.

These search terms are a perfect example of how a poor keyword strategy can result in your ads showing up for unpredictable searches… and waste thousands of dollars in the process.

Here are five of the strangest search terms of 2015:

1. “Whack your boss”

Our first search term comes from a campaign targeting women interested in starting their own business.

Unfortunately, the campaign targeted the phrase-match keyword “boss,” which meant that their ads ended up displaying when people typed in “whack your boss.”

fallon-slap

What’s astonishing is that this search term had more than 30,000 impressions and 1,719 clicks.

Clearly, a lot of people are frustrated at work.

Unfortunately, since the company didn’t offer anger management services, they didn’t get a single conversion from those 1,719 clicks.

Now, I suppose that wanting to whack your boss might make you want to start your own business, but in this case, “whack your boss” wasn’t attracting the right sort of traffic.

In fact, this search term cost the company more than $3,000 — a truly whack-worthy offense!

Moral of the story: Bidding on phrase-match single keywords is a bad idea.

2. “A$AP rocky”

Our next search term is a classic example of what can happen when you use broad match keywords.

In this particular case, the company implemented system application products (SAPs) for small to medium-size businesses. Since SAP is a fairly widely-used technical term for their services, they decided to bid on the keyword “sap.”

Makes sense, right?

Well, not really. I don’t know about you, but I can think of an awful lot of reasons why people might be searching for the word “sap.”

And, to make matters worse, they decided to use broad match.

As you might expect, this meant they showed up for a variety of irrelevant searches, but one of the strangest was “A$AP rocky.”

As it turned out, Google decided that “sap” might be a misspelling of “asap.” Of course, gold-toothed rapper A$AP Rocky’s name just happens to be a misspelling of “asap,” so Google matched this company’s SAP services ads to searches for “a$ap rocky.”

asap-rocky

Fortunately, their ad copy was so obviously wrong for these searches that very few people clicked on their ads, but “a$ap rocky” searches still resulted in nearly 228,000 impressions and 230 clicks.

In fact, “asap”-related terms — including searches for “a$ap fergy”, a less well-known rapper — led to nearly 400,000 impressions and 770 clicks.

Since A$AP doesn’t bid on his own name, most of their ads were showing up in position 1. Unfortunately, having a click-through rate of 0.1 percent in position 1 ruined their quality score for one of their most important keywords.

A low quality score increases your cost-per-click for relevant searches, so bidding on broad-match “sap” directly wasted their ad budget and made clicks from their target audience more expensive!

Moral of the story: Bidding on broad-match keywords is bad — bidding on broad-match acronyms with a variety of potential meanings is worse.

3. “How do I remove the terrible smell from carpet that has been flooded using household ingredients”

This search term actually came from a campaign for a carpet stench remover. And, based on this very long, very specific query, you would think the company had discovered a winner of a search term.

In fact, this query gets typed in surprisingly often; this 16-word search term triggered almost 2,000 impressions and resulted in 127 clicks. The problem is, none of them converted.

That stinks.

smelly-gif

For a company that sells an odor-eliminating carpet cleaner, these results seem somewhat counterintuitive. Long-tail keywords usually indicate a very specific search intent that may be more likely to convert.

In this particular case, however, the company was bidding broad match on the keyword “smell out of carpet,” which opened the door for a lot of stinky search terms.

For example, this query clearly indicates that the searchers are looking for a solution that uses “household ingredients.”

Do you smell a problem? I do.

Someone who goes to the trouble to enter a long-tail search with this much detail is looking for something specific. If they wanted to know how to “get the smell out of carpet,” they would have typed that in.

In this particular case, these people are specifically looking for a household solution and a company that sells something else isn’t likely to get them to convert.

Moral of the story: The longer the search query, the more closely your offer needs to match your audience’s search intent.

4. “********@aol.com”

This search term came from a tech support campaign targeting people who were having trouble logging into their email.

Essentially, this company helped people get their email and computer working properly for a fee and then signed them up for ongoing assistance.

To get clients, however, they bid on various email-related keywords. As it turns out, this lady typed her email address into the search bar, presumably in the hopes that doing so would log her into her account.

old-lady-email

Sounds like a perfect client, right?

Well, this woman (name withheld for privacy) typed in her email, clicked on the company’s ad and converted.

A few days later, she typed in her email, clicked on the company’s ad… and converted.

The next day…

All told, this poor woman typed in her email address 127 times! She “converted” 84 times. And the company paid almost $250 for her clicks.

Now, in many cases, repeat business like this would be a good thing. For this company, however, it meant that they weren’t doing their job correctly.

The woman wasn’t signing up for ongoing help and the company wasn’t teaching her how to solve her problem on her own. In fact, they were losing money on each “conversion.”

And they did it 84 times.

Was their targeting wrong? No. But by failing to watch their Search Terms report, they didn’t see this problem until they had lost an estimated $1,000 on this woman.

As sad as it is, adding this woman’s email address to their negative keyword list was in the best interest of both parties. The customer clearly wasn’t right for their business, and they weren’t right for her.

Moral of the story: Even customers that convert can hurt your business if they aren’t a good fit for your company.

5. “Animal sex”

Our final search term comes from a pet supplies company. In this particular situation, the company was bidding on the phrase match keyword “animal.”

As it turned out, this meant that their ads were showing up for hundreds of thousands of searches for “animal sex.”

I’m not going to speculate about search intent for this particular phrase (and we won’t bother with a clever GIF this time… ), but based on their product offering, it’s no surprise that this search term didn’t yield any conversions.

However, at some point, someone noticed the high volume of searches for this query and added “animal sex” as a new keyword. Apparently, they figured that with all that volume, eventually someone would convert.

Unfortunately, that was an expensive mistake.

In this case, the company spent over $7,000 on this search term before they realized that they were paying for the wrong traffic. Their ads received more than 500,000 impressions and produced 9,153 clicks but failed to drive a single conversion.

As I’ve said before, the wrong traffic doesn’t convert.

Moral of the story: Even if a keyword or search term is driving a lot of traffic, if it isn’t converting, it isn’t worth paying for.

Conclusion

If you want your account to produce profitable results, it’s critically important to review your search terms and keywords on a regular basis. Otherwise, you might end up paying for some truly bizarre queries.

What are some of the strangest search terms you’ve seen?

The post The 5 strangest search terms in 2,000+ AdWords accounts appeared first on Search Engine Land.

Frankie Manning Google Doodle honors man behind “Lindy Hop” swing dance moves

Wednesday, May 25, 2016

Know your SEM? Prove it. Enter the SMX Biggest Search Geek Contest

search_geek_2016_post_hero_1920x1080

See if you have what it takes to outsmart your peers! The Biggest Search Geek Contest, sponsored by Marin Software, is where the world’s brightest search marketers compete to outsmart fellow search geeks from across the globe.

The contestant who answers the most questions correctly in the shortest amount of time will win the grand prize — flight and hotel accommodations for two to SMX Advanced in Seattle, Washington, June 22–23, 2016. The winner will be presented with an award onstage by Danny Sullivan AND will also receive their choice of an Apple Watch, an Amazon Echo or a Microsoft Surface Pro 4.

So play now and prove you’re the geek to beat! Go to http://ift.tt/1hSQoCV.

The post Know your SEM? Prove it. Enter the SMX Biggest Search Geek Contest appeared first on Search Engine Land.