Freitag, 24. März 2017

The 6 Values (and 4 Benefits) of Agile Marketing - Whiteboard Friday

Posted by AgileJim

You've probably heard of agile processes in regards to software development. But did you know those same key values can have a huge impact if applied to marketing, as well? Being adaptive, collaborative, and iterative are necessary skills when we live in a world where Google can pull the rug out from under us at a moment's notice.

In today's Whiteboard Friday, we welcome guest host Jim Ewel, founder of AgileMarketing.net, as he describes what's important in the agile marketing process and why incorporating it into your own work is beneficial.

Agile Marketing

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

Video Transcription

Hey, Moz fans, this is Jim Ewel. I'm the blogger behind AgileMarketing.net, the leading blog on agile marketing, and I'm here to talk to you today about agile marketing.

Agile marketing is an approach to marketing that takes its inspiration from agile software development. Like agile software development, it has a set of values and it has a set of benefits, and we're going to talk about those values and benefits today.

6 Values of Agile Marketing

Value number one: Responding to change over following a plan.

It's not that we don't plan. It's just that we don't write 30- to 40-page marketing plans. Instead, every quarter, we write a one-page plan that specifies our goals, our aspirations to get everybody on the same page, and then every two to four weeks, we reset our priorities. We say, "This is what we're going to get done during this two- to four-week period."

Value number two: Rapid iterations over "big bang" campaigns.

In traditional marketing, we get together in a room and we say, "We're going to run a campaign for three to six months to a year."

We hash out the idea of what we're going to do for that campaign. Then we communicate to the agency. They come up with creative. They review it with us. We go back and forth, and eventually we'll run that campaign for three to six months. And you know what happens at the end of that campaign? We always declare victory because we've spent so much money and time on that campaign that every time we say, "It worked."

Well, we take a very different approach in agile marketing. We take an iterative approach. We start out with a little strategy. We meet for half an hour or an hour to figure out what do we think might work. Then we figure out how to test it. We measure the results, and this is very important, we document the learning.

If something doesn't work, we test it out and it doesn't work, it's okay because we've learned something. We've learned what doesn't work. So then we iterate again, and we try something else and we do that, we get that cycle going in a very effective way.

Value number three: Testing and data over opinions and conventions

Here, again, the importance is that we're not following the highest-paid person's opinion. No HiPPOs. It's all about: "Did we test it? Do we have data? Do we have the right metrics?" It's important to select the right metrics and not vanity metrics, which make us feel good, but don't really result in an improvement to the business.

Value number four: Many small experiments over a few big bets

And I like to talk about here the 70:20:10 rule. The idea behind the 70:20:10 rule is that we spend 70% of our budget and 50% of our time on the things that we know that work. We do it broadly across all our audiences.

We then spend 20% of our budget and 25% of our time modifying the things that we know that work and trying to improve them. Maybe we distribute it in a little different way or we modify the content, we modify what the page looks like. But, anyways, we're trying to improve that content.

And the last 10% of our budget and 25% of our time, we spend on wild ideas, things where we fully expect that only about 2 or 3 out of 10 ideas is really going to work, and we focus those things on those creative, wild ideas that are going to be the future 70% and 20%.

Value number five: Individuals and interactions over one-size-fits-all

Now, I like to think about this in terms of one of the experiences that I have with SEO. I get a lot of requests for link building, and a lot of the requests that I get are form requests. They write me a little message that they're writing to hundreds of other people, and I don't pay any attention to those requests.

I'm looking for somebody who really knows that I'm writing a blog about agile marketing, who's interacting with me, who maybe says something about a post that I put on Agile Marketing, and those people are the ones that I'm going to give my business to, in effect, and I'm going to do some link building with them. Same thing applies to all of our marketing.

Value number six: Collaboration over hierarchy and silos

One of the key things in many marketing organizations is that different silos of the organization don't seem to talk to each other. Maybe marketing isn't talking to sales, or marketing hasn't got the ear of senior management.

Well, one of the things we do in agile marketing is we put some processes in place to make sure that all of those groups are collaborating. They're setting the priorities together, and they're reviewing the results together.

4 Benefits of Agile Marketing

As a result of these six values, there are four important benefits to agile marketing.

I. The first is that you can get more done

I've taught a lot of teams agile marketing, and, as a whole, they tell me that they get about 30% to 40% more done with agile marketing. I had one team tell me they got 400% more done, but that's not typical. So they're getting more done, and they're getting more done because they're not doing rework and they're working on the right priorities.

II. Getting the right things done

Because you're working with sales, you're working with senior management to set the priorities, you're making sure with agile marketing that you're getting the right things done, and that's important.

III. Adapting to change

Part of our life today in marketing is that things change. We know that Google is going to change their PageRank algorithm in 2017. We don't know exactly how, but we know it's going to happen, and we need to be able to adapt to that change quickly and accurately, and we put processes in place in agile marketing to make sure that happens.

IV. Improved communications

Improved communications both within the marketing team and, probably even more important, outside the marketing team to sales and senior management.

By representing what we're getting done on something like a Kanban board, everybody can see exactly what marketing is working on, where it's at, and what they're getting done.

So that's agile marketing in a nutshell. I'd love to hear your comments, and thanks for watching.

Video transcription by Speechpad.com


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Donnerstag, 23. März 2017

Your Daily SEO Fix: Keywords, Concepts, Page Optimization, and Happy NAPs

Posted by FeliciaCrawford

Howdy, readers! We're back with our last round of videos for this go of the Daily SEO Fix series. To recap, here are the other topics we've covered previously:

Today we'll be delving into more keyword and concept research, quick wins for on-page optimization, and a neat way to stay abreast of duplicates and inaccuracies in your local listings. We use Moz Pro, the MozBar, and Moz Local in this week's fixes.


Fix #1: Grouping and analyzing keywords by label to judge how well you're targeting a concept

The idea of "concepts over keywords" has been around for a little while now, but tracking rankings for a concept isn't quite as straightforward as it is for keywords. In this fix, Kristina shows you how to label groups of keywords to track and sort their rankings in Moz Pro so you can easily see how you're ranking for grouped terms, chopping and analyzing the data as you see fit.


Fix #2: Adding alternate NAP details to uncover and clean up duplicate or inaccurate listings

If you work in local SEO, you know how important it is for listings to have an accurate NAP (name, address, phone number). When those details change for a business, it can wreak absolute havoc and confuse potential searchers. Jordan walks you through adding alternate NAP details in Moz Local to make sure you uncover and clean up old and/or duplicate listings, making closure requests a breeze. (This Whiteboard Friday is an excellent explanation of why that's really important; I like it so much that I link to it in the resources below, too. ;)

Remember, you can always use the free Check Listing tool to see how your local listings and NAP are popping up on search engines:

Is my NAP accurate?


Fix #3: Research keywords and concepts to fuel content suggestions — on the fly

You're already spying on your competitors' sites; you might as well do some keyword research at the same time, right? Chiaryn walks you through how to use MozBar to get keyword and content suggestions and discover how highly ranking competitor sites are using those terms. (Plus a cameo from Lettie Pickles, star of our 2015 Happy Holidays post!)


Fix #4: Discover whether your pages are well-optimized as you browse — then fix them with these suggestions

A fine accompaniment to your on-the-go keyword research is on-the-go on-page optimization. (Try saying that five times fast.) Janisha gives you the low-down on how to check whether a page is well-optimized for a keyword and identify which fixes you should make (and how to prioritize them) using the SEO tool bar.


Further reading & fond farewells

I've got a whole passel of links if you're interested in reading more educational content around these topics. And by "reading," I mean "watching," because I really stacked the deck with Whiteboard Fridays this time. Here you are:

And of course, if you need a better handle on all this SEO stuff and reading blog posts just doesn't cut the mustard, we now offer classes that cover all the essentials.

My sincere thanks to all of you tuning in to check out our Daily SEO Fix video series over the past couple of weeks — it's been fun writing to you and hearing from you in the comments! Be sure to keep those ideas and questions comin' — we're listening.


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Mittwoch, 22. März 2017

How to Do a Content Audit [Updated for 2017]

Posted by Everett

This guide provides instructions on how to do a content audit using examples and screenshots from Screaming Frog, URL Profiler, Google Analytics (GA), and Excel, as those seem to be the most widely used and versatile tools for performing content audits.

{Expand for more background}


TABLE OF CONTENTS


What is a content audit?

A content audit for the purpose of SEO includes a full inventory of all indexable content on a domain, which is then analyzed using performance metrics from a variety of sources to determine which content to keep as-is, which to improve, and which to remove or consolidate.

What is the purpose of a content audit?

A content audit can have many purposes and desired outcomes. In terms of SEO, they are often used to determine the following:

  • How to escape a content-related search engine ranking filter or penalty
  • Content that requires copywriting/editing for improved quality
  • Content that needs to be updated and made more current
  • Content that should be consolidated due to overlapping topics
  • Content that should be removed from the site
  • The best way to prioritize the editing or removal of content
  • Content gap opportunities
  • Which content is ranking for which keywords
  • Which content should be ranking for which keywords
  • The strongest pages on a domain and how to leverage them
  • Undiscovered content marketing opportunities
  • Due diligence when buying/selling websites or onboarding new clients

While each of these desired outcomes and insights are valuable results of a content audit, I would define the overall “purpose” of one as:

The purpose of a content audit for SEO is to improve the perceived trust and quality of a domain, while optimizing crawl budget and the flow of PageRank (PR) and other ranking signals throughout the site.

Often, but not always, a big part of achieving these goals involves the removal of low-quality content from search engine indexes. I’ve been told people hate this word, but I prefer the “pruning” analogy to describe the concept.

How & why “pruning” works

{Expand for more on pruning}

How to do a content audit

Just like anything in SEO, from technical and on-page changes to site migrations, things can go horribly wrong when content audits aren’t conducted properly. The most common example would be removing URLs that have external links because link metrics weren’t analyzed as part of the audit. Another common mistake is confusing removal from search engine indexes with removal from the website.

Content audits start with taking an inventory of all content available for indexation by search engines. This content is then analyzed against a variety of metrics and given one of three “Action” determinations. The “Details” of each Action are then expanded upon.

The variety of combinations of options between the “Action” of WHAT to do and the “Details” of HOW (and sometimes why) to do it are as varied as the strategies, sites, and tactics themselves. Below are a few hypothetical examples:

You now have a basic overview of how to perform a content audit. More specific instructions can be found below.

The process can be roughly split into three distinct phases:

  1. Inventory & audit
  2. Analysis & recommendations
  3. Summary & reporting

The inventory & audit phase

Taking an inventory of all content, and related metrics, begins with crawling the site.

One difference between crawling for content audits and technical audits:

Technical SEO audit crawls are concerned with all crawlable content (among other things).

Content audit crawls for the purpose of SEO are concerned with all indexable content.

{Expand for more on crawlable vs. indexable content}

All of this is changing rapidly, though. URLs as the unique identifier in Google’s index are probably going away. Yes, we’ll still have URLs, but not everything requires them. So far, the word “content” and URL has been mostly interchangeable. But some URLs contain an entire application’s worth of content. How to do a content audit in that world is something we’ll have to figure out soon, but only after Google figures out how to organize the web’s information in that same world. From the looks of things, we still have a year or two.

Until then, the process below should handle most situations.

Step 1: Crawl all indexable URLs

A good place to start on most websites is a full Screaming Frog crawl. However, some indexable content might be missed this way. It is not recommended that you rely on a crawler as the source for all indexable URLs.

In addition to the crawler, collect URLs from Google Analytics, Google Webmaster Tools, XML Sitemaps, and, if possible, from an internal database, such as an export of all product and category URLs on an eCommerce website. These can then be crawled in “list mode” separately, then added to your main list of URLs and deduplicated to produce a more comprehensive list of indexable URLs.

Some URLs found via GA, XML sitemaps, and other non-crawl sources may not actually be “indexable.” These should be excluded. One strategy that works here is to combine and deduplicate all of the URL “lists,” and then perform a crawl in list mode. Once crawled, remove all URLs with robots meta or X-Robots noindex tags, as well as any URL returning error codes and those that are blocked by the robots.txt file, etc. At this point, you can safely add these URLs to the file containing indexable URLs from the crawl. Once again, deduplicate the list.

Crawling roadblocks & new technologies

Crawling very large websites

First and foremost, you do not need to crawl every URL on the site. Be concerned with indexable content. This is not a technical SEO audit.

{Expand for more about crawling very large websites}


Crawling dynamic mobile sites

This refers to a specific type of mobile setup in which there are two code-bases –– one for mobile and one for desktop –– but only one URL. Thus, the content of a single URL may vary significantly depending on which type of device is visiting that URL. In such cases, you will essentially be performing two separate content audits. Proceed as usual for the desktop version. Below are instructions for crawling the mobile version.

{Expand for more on crawling dynamic websites}

Crawling and rendering JavaScript

One of the many technical issues SEOs have been increasingly dealing with over the last couple of years is the proliferation of websites built on JavaScript frameworks and libraries like React.js, Ember.js, and Angular.js.

{Expand for more on crawling Javascript websites}

Step 2: Gather additional metrics

Most crawlers will give you the URL and various on-page metrics and data, such as the titles, descriptions, meta tags, and word count. In addition to these, you’ll want to know about internal and external links, traffic, content uniqueness, and much more in order to make fully informed recommendations during the analysis portion of the content audit project.

Your process may vary, but we generally try to pull in everything we need using as few sources as possible. URL Profiler is a great resource for this purpose, as it works well with Screaming Frog and integrates easily with all of the APIs we need.

Once the Screaming Frog scan is complete (only crawling indexable content) export the “Internal All” file, which can then be used as the seed list in URL Profiler (combined with any additional indexable URLs found outside of the crawl via GSC, GA, and elsewhere).

This is what my URL Profiler settings look for a typical content audit for a small- or medium-sized site. Also, under “Accounts” I have connected via API keys to Moz and SEMrush.

Once URL Profiler is finished, you should end up with something like this:

Screaming Frog and URL Profiler: Between these two tools and the APIs they connect with, you may not need anything else at all in order to see the metrics below for every indexable URL on the domain.

The risk of getting analytics data from a third-party tool

We've noticed odd data mismatches and sampled data when using the method above on large, high-traffic websites. Our internal process involves exporting these reports directly from Google Analytics, sometimes incorporating Analytics Canvas to get the full, unsampled data from GA. Then VLookups are used in the spreadsheet to combine the data, with URL being the unique identifier.

Metrics to pull for each URL:

  • Indexed or not?
    • If crawlers are set up properly, all URLs should be “indexable.”
    • A non-indexed URL is often a sign of an uncrawled or low-quality page.
  • Content uniqueness
    • Copyscape, Siteliner, and now URL Profiler can provide this data.
  • Traffic from organic search
    • Typically 90 days
    • Keep a consistent timeframe across all metrics.
  • Revenue and/or conversions
    • You could view this by “total,” or by segmenting to show only revenue from organic search on a per-page basis.
  • Publish date
    • If you can get this into Google Analytics as a custom dimension prior to fetching the GA data, it will help you discover stale content.
  • Internal links
    • Content audits provide the perfect opportunity to tighten up your internal linking strategy by ensuring the most important pages have the most internal links.
  • External links
  • Landing pages resulting in low time-on-site
    • Take this one with a grain of salt. If visitors found what they want because the content was good, that’s not a bad metric. A better proxy for this would be scroll depth, but that would probably require setting up a scroll-tracking “event.”
  • Landing pages resulting in Low Pages-Per-Visit
    • Just like with Time-On-Site, sometimes visitors find what they’re looking for on a single page. This is often true for high-quality content.
  • Response code
    • Typically, only URLs that return a 200 (OK) response code are indexable. You may not require this metric in the final data if that's the case on your domain.
  • Canonical tag
    • Typically only URLs with a self-referencing rel=“canonical” tag should be considered “indexable.” You may not require this metric in the final data if that's the case on your domain.
  • Page speed and mobile-friendliness

Before you begin analyzing the data, be sure to drastically improve your mental health and the performance of your machine by taking the opportunity to get rid of any data you don’t need. Here are a few things you might consider deleting right away (after making a copy of the full data set, of course).


Things you don’t need when analyzing the data

{Expand for more on removing unnecessary data}

Hopefully by now you've made a significant dent in reducing the overall size of the file and time it takes to apply formatting and formula changes to the spreadsheet. It’s time to start diving into the data.

The analysis & recommendations phase

Here's where the fun really begins. In a large organization, it's tempting to have a junior SEO do all of the data-gathering up to this point. I find it useful to perform the crawl myself, as the process can be highly informative.

Step 3: Put it all into a dashboard

Even after removing unnecessary data, performance could still be a major issue, especially if working in Google Sheets. I prefer to do all of this in Excel, and only upload into Google Sheets once it's ready for the client. If Excel is running slow, consider splitting up the URLs by directory or some other factor in order to work with multiple, smaller spreadsheets.

Creating a dashboard can be as easy as adding two columns to the spreadsheet. The first new column, “Action,” should be limited to three options, as shown below. This makes filtering and sorting data much easier. The “Details” column can contain freeform text to provide more detailed instructions for implementation.

Use Data Validation and a drop-down selector to limit Action options.

Step 4: Work the content audit dashboard

All of the data you need should now be right in front of you. This step can’t be turned into a repeatable process for every content audit. From here on the actual step-by-step process becomes much more open to interpretation and your own experience. You may do some of them and not others. You may do them a little differently. That's all fine, as long as you're working toward the goal of determining what to do, if anything, for each piece of content on the website.

A good place to start would be to look for any content-related issues that might cause an algorithmic filter or manual penalty to be applied, thereby dragging down your rankings.

Causes of content-related penalties

These typically fall under three major categories: quality, duplication, and relevancy. Each category can be further broken down into a variety of issues, which are detailed below.

{Expand to learn more about quality, duplication, and relevancy issues}

It helps to sort the data in various ways to see what’s going on. Below are a few different things to look for if you’re having trouble getting started.

{Expand to learn more about what to look for}

Taking the hatchet to bloated websites

For big sites, it's best to use a hatchet-based approach as much as possible, and finish up with a scalpel in the end. Otherwise, you'll spend way too much time on the project, which eats into the ROI.

This is not a process that can be documented step-by-step. For the purpose of illustration, however, below are a few different examples of hatchet approaches and when to consider using them.

{Expand for examples of hatchet approaches}

As you can see from the many examples above, sorting by “Page Type” can be quite handy when applying the same Action and Details to an entire section of the website.

After all of the tool set-up, data gathering, data cleanup, and analysis across dozens of metrics, what matters in the end is the Action to take and the Details that go with it.

URL, Action, and Details: These three columns will be used by someone to implement your recommendations. Be clear and concise in your instructions, and don’t make decisions without reviewing all of the wonderful data-points you’ve collected.

Here is a sample content audit spreadsheet to use as a template, or for ideas. It includes a few extra tabs specific to the way we used to do content audits at Inflow.

WARNING!

As Razvan Gavrilas pointed out in his post on Cognitive SEO from 2015, without doing the research above you risk pruning valuable content from search engine indexes. Be bold, but make highly informed decisions:

Content audits allow SEOs to make informed decisions on which content to keep indexed “as-is,” which content to improve, and which to remove.

The reporting phase

The content audit dashboard is exactly what we need internally: a spreadsheet crammed with data that can be sliced and diced in so many useful ways that we can always go back to it for more insight and ideas. Some clients appreciate that as well, but most are going to find the greater benefit in our final content audit report, which includes a high-level overview of our recommendations.

Counting actions from Column B

It is useful to count the quantity of each Action along with total organic search traffic and/or revenue for each URL. This will help you (and the client) identify important metrics, such as total organic traffic for pages marked to be pruned. It will also make the final report much easier to build.

Step 5: Writing up the report

Your analysis and recommendations should be delivered at the same time as the audit dashboard. It summarizes the findings, recommendations, and next steps from the audit, and should start with an executive summary.

Here is a real example of an executive summary from one of Inflow's content audit strategies:

As a result of our comprehensive content audit, we are recommending the following, which will be covered in more detail below:

Removal of about 624 pages from Google index by deletion or consolidation:

  • 203 Pages were marked for Removal with a 404 error (no redirect needed)
  • 110 Pages were marked for Removal with a 301 redirect to another page
  • 311 Pages were marked for Consolidation of content into other pages
    • Followed by a redirect to the page into which they were consolidated

Rewriting or improving of 668 pages

  • 605 Product Pages are to be rewritten due to use of manufacturer product descriptions (duplicate content), these being prioritized from first to last within the Content Audit.
  • 63 "Other" pages to be rewritten due to low-quality or duplicate content.

Keeping 226 pages as-is

  • No rewriting or improvements needed

These changes reflect an immediate need to "improve or remove" content in order to avoid an obvious content-based penalty from Google (e.g. Panda) due to thin, low-quality and duplicate content, especially concerning Representative and Dealers pages with some added risk from Style pages.

The content strategy should end with recommended next steps, including action items for the consultant and the client. Below is a real example from one of our documents.

We recommend the following three projects in order of their urgency and/or potential ROI for the site:

Project 1: Remove or consolidate all pages marked as “Remove”. Detailed instructions for each URL can be found in the "Details" column of the Content Audit Dashboard.

Project 2: Copywriting to improve/rewrite content on Style pages. Ensure unique, robust content and proper keyword targeting.

Project 3: Improve/rewrite all remaining pages marked as “Improve” in the Content Audit Dashboard. Detailed instructions for each URL can be found in the "Details" column

Content audit resources & further reading

Understanding Mobile-First Indexing and the Long-Term Impact on SEO by Cindy Krum
This thought-provoking post begs the question: How will we perform content inventories without URLs? It helps to know Google is dealing with the exact same problem on a much, much larger scale.

Here is a spreadsheet template to help you calculate revenue and traffic changes before and after updating content.

Expanding the Horizons of eCommerce Content Strategy by Dan Kern of Inflow
An epic post about content strategies for eCommerce businesses, which includes several good examples of content on different types of pages targeted toward various stages in the buying cycle.

The Content Inventory is Your Friend by Kristina Halvorson on BrainTraffic
Praise for the life-changing powers of a good content audit inventory.

http://ift.tt/1ZXQOKs

Everything You Need to Perform Content Audits


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Dienstag, 21. März 2017

The Step-By-Step Guide to Testing Voice Search Via PPC

Posted by purna_v

I was conned into my love of cooking by my husband.

Never having set foot in the kitchen until the grand old age of 22, my husband (then boyfriend) — a former chef — said he’d teach me some simple recipes. I somewhat enjoyed the process but very much enjoyed the lavish praise he’d bestow upon me when eating whatever I whipped up.

Highly encouraged that I seemingly had an innate culinary genius, I looked to grow my repertoire of recipes. As a novice, I found recipe books inspiring but confusing. For example, a recipe that called for cooked chicken made me wonder how on Earth I was meant to cook the chicken to get cooked chicken.

Luckily, I discovered the life-changing power of fully illustrated, step-by-step recipes.

Empowered by the clear direction they provided, I conquered cuisine after cuisine and have since turned into a confident cook. It took me only a few months to realize all that praise was simply a ruse to have me do most of the cooking. But by then I was hooked.

When it comes to voice search, I’ve talked and written a lot about the subject over the past year. Each time, the question I get asked is “What’s the best way to start?”

Today I’ll share with you an easy-to-follow, step-by-step guide to empower you to create your own voice search test. It’s sure to become one of your favorite recipes in coming months as conversational interfaces continue their rapid adoption rate.

Testing voice search? But it’s not monetized.

That’s correct. It’s not monetized as of yet. However, the usage rates have been growing exponentially. Already search engines are reporting that:

  • One out of ten searches are voice (per Baidu)
  • Twenty percent of all mobile Android searches are voice (Google)
  • Usage spans all age ranges, as we discovered at Cortana (which is owned by Microsoft, my employer):

1_Cortana.png

With Cortana being integrated into Windows 10, what we’re seeing is that age range demographics are now comparable to what eMarketer is reporting for overall smartphone usage. What this means: Using digital assistants is becoming more and more common. It’s no longer an edge case.

More importantly, voice searches done on the search engines can often have PPC ads in the resultant SERPs — as you’ll see in my examples below.

Why a PPC test?

It’s easier to get started by testing voice search via PPC since you can get more detailed reporting across multiple levels.

I would recommend taking a teeny-tiny budget — even $50 is often good enough — and putting it toward a voice search test. (Don’t fret, SEOs, I do have some tips in here for you as well.)

Before we start...

Here’s a quick reminder of how voice searches differ from text searches:

  1. Voice has longer queries
  2. Natural language means more question phrases
  3. Natural language reveals intent clearly
  4. Voice search has high local value
  5. And greatly impacts third-party listings

You can read about it in more detail in my previous Moz article on the subject.


Let’s get cooking!

Step 1: See what, if any, voice activity exists for you currently

Goal: Find out what voice-related activity exists by identifying Assumed Voice Queries.

Estimated time needed: 30 min

Tools needed: Search Query Reports (SQRs) and Excel

A good place to start is by identifying how your audience is currently using voice to interact with you. In order to do this, we’ll need to look for what we can term "assumed voice queries."

Sidebar: What are Assumed Voice Queries?

Since the search engines do not currently provide separate detailed reporting on voice queries, we can instead use the core characteristics of these queries to identify them. The subtle difference between keyboard search and voice search is "whom" people think they are interacting with.

In the case of keyboard search, the search box clearly ties to a machine. Searchers input logical keywords they think will give them the best search results. They generally leave out filler words, such as "the," "of," "a," and "and." They also tend not to use question words; for example, "bicycle store," rather than "what is a bicycle store?"

But when a searcher uses voice search, he is not using a keyboard. It’s more like he's talking to an actual human. You wouldn’t say to a person "bicycle store." You might say: "Hey Cortana, what is the best place to buy a bicycle near me?"

The key difference between text and voice search is that voice queries will be full thoughts, structured the way people speak, i.e. long-tailed queries in natural language. Voice searches tend to be approximately 4.2 words or longer on average, according to research from both Google and Microsoft Cortana.

Thus, assumed voice queries would be keywords that fit in with these types of queries: longer and looking like natural language.

Caveat: This isn’t going to be 100% accurate, of course, but it’s a good place to start for now.

Even just eight months ago, things were fairly black and white. Some clients would have assumed voice queries while others didn’t. Lately, however, I’m seeing that most clients I look at have some element of assumed voice queries, indicative of how the market is growing.

Okay, back to step 1

a.) Start by downloading your search term report from within your Bing Ads or Google AdWords account. This is also commonly referred to as the search query report. You want to run this for at least the past 30 or 60 days (depending on volume). If you don’t have a PPC account, you can pull your search term report from Google Search Console or Bing Webmaster Tools.

2_SQR.png

b.) Open it up in Excel, so we can get sorting.

3_Excel sheet.png

c.) Sort the columns to just the essentials. I usually keep only the search term, as well as the impression columns. For larger accounts, you may prefer to leave on the campaign and ad group name columns as well.

4_SortColumns.png

d.) Sort by query length to isolate the search queries that are 5+ keywords in length — I’m going with 5 here simply to increase the odds that these would be assumed voice queries. A simple Excel formula — taught to me by my colleague John Gagnon—- can help count the number of words:

5_Formula.png

Replace A1 with the actual cell number of your search term, and then drag that formula down the sheet. Here it becomes C2 instead of A1:

6_formulainaction.png

e.) Calculate and sort, first by query length and then by impressions to find the assumed voice search queries with the most impressions. The result? You’ll get your final list — success!

7_finallist.png


Step 2: Extrapolate, theme, sort

Goal: Find additional keywords that could be missing and organize the list based on intent.

Estimated time needed: 45 min

Tools needed: Keyword tools of choice and Excel

Now that you can see the assumed voice queries, you’ll have handy insights into your customer's motivation. You know what your audience is searching for, and also important, what they are not searching for.

Next, we need to build upon this list of keywords to find high-value potential queries we should add to our list. There are several helpful tools for this, such as Keyword Explorer and Answer the Public.

a.) Go to the keyword research tool of your choice. In this example, I’ve used SEMRush. Notice how they provide data on organic and paid search for our subject area of "buy (a) bicycle."

8_SEMRUSH.png

b.) Next, let’s see what exists in question form. For any given subject area, the customer could have myriad questions along the spectrum of motivation. This output comes from a query on Answer the Public for "buy a bicycle," showing the what, when, where, why, and how questions that actually express motivational intent:

9_answer the publix.png

c.) These questions can now be sorted by degree of intent.

  • Is the searcher asking a fact-based question, looking for background information?
  • Are they farther along the process, looking at varieties of the product?
  • Are they approaching making a purchase decision, doing comparison shopping?
  • Are they ready to buy?

Knowing the stage of the process the customer is in can help tailor relevant suggestions, since we can identify core themes and sort by intent. My brilliant colleague Julie Dilleman likes to prepare a chart such as this one, to more effectively visualize the groupings:

10_Intentsort.png

d.) Use a research tool such as Bing Ads Intelligence or your demographic reports in Google Analytics to answer core questions related to these keywords, such as:

  • What’s the searcher age and gender breakdown for these queries?
  • Which device is dominating?
  • Which locations are most popular?

These insights are eminently actionable in terms of bid modifications, as well as in guiding us to create effective ad copy.


Step 3: Start optimizing campaigns

Goal: Review competitive landscape and plan campaign optimizations.

Estimated time needed: 75 min

Tools needed: PPC account, NAP listings, Schema markup

To get the lay of the land, we need to look at what shows up for these searches in the voice platforms with visual interfaces — i.e., the Search Engine Results Pages (SERPs) and Digital Personal Assistants — to see what type of results show up. Does the search provide map listings and reviews? Where are they pulling the data from? Are ads showing?

a.) Run searches across multiple platforms. In my example, I am using Siri, Google app and Cortana on my desktop.

Near me-type searches:

12_NearME.png

These all had map listings in common — Apple maps, Google maps, and Bing maps, respectively.

Research-type queries:

13_Research.png

Siri got it wrong and led me to a store, while both Google and Bing Ads provided me with SERPs to answer my question.

Quick answer-type queries:

While Siri pulled up multiple results from a Bing search, both Google and Cortana found what they considered to be the most helpful answer and read them aloud to me while also providing the option for looking at additional results.

14_quickanswer.png

b.) Optimize your NAPs. Make sure you have listings that have an accurate name, address, phone number, and open hours on the top business listings such as Apple Maps, Google My Business, and Bing Places for Business.

15_NAP.png

c.) Ensure you have proper Schema markup on your site. The more information you can provide to the search engines, the more effectively they can rank and display your site. Be sure to add in:

  • Contact info
  • Reviews
  • Articles/Events/Content

d.) Optimize your PPC campaigns.

  1. Choose a small handful of voice search queries from your list across different intents.
  2. Add to new ad groups under existing campaigns. This helps you to take advantage of historical quality score benefits.
  3. Adjust bid modifiers based on your research on age, gender, and device.
  4. Adjust bids based on intent. For example, the following keywords demonstrate completely different levels of purchase intent:
    • Do I need a hybrid or mountain bike? – More research-based.
    • Who invented the bicycle? – Zero purchase intent. Add this as a negative keyword.
    • When does bike store XYZ open today? – High likelihood to purchase. Bid up.

Step 4: Be the best answer

Goal: Serve the right message at the right time in the right place.

Estimated time needed: 60 min

Tools needed: Creativity and Excel

Make sure you have the relevant ad for the query. Relevance is critical — the results must be useful or they won’t be used.

Do you have the right extensions to tailor toward the motivational intent noted above and the consumer’s ultimate goal? Make it easy for customers to get what they want without confusion.

Voice searches cover a variety of different intents, so it’s important to ensure the ad in your test will align well with the intent of the query. Let’s consider this example:

If the search query is "what’s the best waterproof digital camera under $500?" then your ad should only talk about digital cameras that are waterproof and around the $500 range. Doing this helps make it more seamless for the customer since the selections steps along the way are much reduced.

A few additional tips and ideas:

a.) Voice searches seem to frequently trigger product listing ads (PLAs) from the search engines, which makes sense since the images make them easier to sort through:

16a_Goog.png16b_Bing.png

If you can but haven’t already done so, look at setting up Shopping Campaigns within your PPC accounts, even just for your top-selling products.

b.) For results when the SERPs come up, be sure to use ad extensions to provide additional information to your target audience. Consider location, contact, conversion, and app information that is relevant. They make it easy for customers to find the info they need.

17_extensions.png

c.) Check citations and reviews to ensure you’re showing up at your best. If reviews are unfavorable, consider implementing reputation management efforts.

18_citations.png

d.) Work to earn more featured snippets, since the search engines often will read them out as the top answer. Dr. Pete has some excellent tips in this Moz article.

e.) Your helpful content will come to excellent use with voice search — share it as a PPC ad for the higher-funnel assumed voice queries to help your test.

19_SEOContent.png

f.) Video has been getting much attention — and rightly so! Given the increased engagement it can provide, as well as its ability to stand out in the SERPs, consider offering video content (as extensions or regular content) for relevant assumed voice queries.

20a_Goog.png20b_Bing.png


Step 5: Analyze. Rinse. Repeat.

Goal: Review performance and determine next steps.

Estimated time needed: 60 min

Tools needed: Analytics and Excel

Here’s where the power of PPC can shine. We can review reporting across multiple dimensions to gauge how the test is performing.

Quick note: It may take several weeks to gather enough data to run meaningful reports. Remember that voice search volume is small, though significant.

a.) First, determine the right KPIs. For example,

  • Lower-funnel content will, of course, have the most conversion-specific goals that we’re used to.
  • Research-type queries will need to be measured by micro-conversions and different KPIs such as form fills, video views, and leads generated.

b.) Pull the right reports. Helpful reports include:

  • The keyword performance report will show you the impressions, clicks, CTR, quality score, conversions, and much more about each individual keyword within your campaigns. Use the keyword report to find out which keywords are triggering your ads, generating clicks, and leading to conversions. You can also identify keywords that are not performing well to determine whether you want to delete them.
  • Ad performance reports show you the impressions, clicks, spend, and conversions for each ad. Use this report to help you determine which ads are leading to the most clicks and conversions, and which are not performing. Remember, having underperforming ads in your campaigns can pull down the quality of your campaign.
  • Filter by device and by demographics. This combination telling us what devices are dominating and who is converting can help us to adjust bids and create more effective ad copy.
  • Create a campaign report looking at your PLA performance. Do tweaks or major overhauls to close gaps versus your expectations.

c.) Determine where you can personalize further. AgilOne research indicates that "more than 70% of consumers expect a personalized experience with the brands they interact with."

21_personalized.png

Carefully pairing the the most ad messaging with each assumed voice query is incredibly important here.


Let’s recap

Step 1. See what, if any, voice activity exists for you currently.

Step 2. Extrapolate. Theme. Sort.

Step 3. Start optimizing campaigns.

Step 4: Be the best answer.

Step 5. Analyze. Rinse. Repeat.

Pretty do-able, right?

It's relatively simple and definitely affordable. Spend four or five hours completing your own voice search test. It can open up worlds of opportunity for your business. It’s best to start testing now while there’s no fire under us and we can test things out in a low-risk environment — an ideal way to get a leg-up over the competition. Bon appétit!

Have you tried some other tests to address voice search queries? Please do share in the comments below.


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