What a fun discussion with this local SEO legend, who has devoted her life to helping small businesses succeed.
Please visit Search Engine Land for the full article.
The top three reasons were People, Product and Opportunity. I met the people who make up our business and heard their stories from the past 18 years, learned about the platform and market leading status they had built in the UK, and saw that I could add value with my U.S. high growth business experience. I’ve been working with marketers, entrepreneurs and business owners for years across a series of different roles, and saw that I could apply what I’d learned from that and the start-up space to dotmailer’s U.S. operation. dotmailer has had clients in the U.S. for 12 years and we’re positioned to grow the user base of our powerful and easy-to-use platform significantly. I knew I could make a difference here, and what closed the deal for me was the people. Every single person I’ve met is deeply committed to the business, to the success of our customers and to making our solution simple and efficient. We’re a great group of passionate people and I’m proud to have joined the dotfamily.
dotmailer has been in business and in this space for more than 18 years. We were a web agency, then a Systems Integrator, and we got into the email business that way, ultimately building the dotmailer platform thousands of people use daily. This means we know this space better than anyone and we have the perfect solutions to align closely with our customers and the solutions flexible enough to grow with them. My role is to take all that experience and the platform and grow our U.S. presence. My early focus has been on identifying the right team to execute our growth plans. We want to be the market leader in the U.S. in the next three years – just like we’ve done in the UK – so getting the right people in the right spots was critical. We quickly assessed the skills of the U.S. team and made changes that were necessary in order to provide the right focus on customer success. Next, we set out to completely rebuild dotmailer’s commercial approach in the U.S. We simplified our offers to three bundles, so that pricing and what’s included in those bundles is transparent to our customers. We’ve heard great things about this already from clients and partners. We’re also increasing our resources on customer success and support. We’re intensely focused on ease of on-boarding, ease of use and speed of use. We consistently hear how easy and smooth a process it is to use dotmailer’s tools. That’s key for us – when you buy a dotmailer solution, we want to onboard you quickly and make sure you have all of your questions answered right away so that you can move right into using it. Customers are raving about this, so we know it’s working well.
I’ve been at dotmailer for eight months now and I’m really proud of all we’ve accomplished together. We spent a lot of time assessing where we needed to restructure and where we needed to invest. We made the changes we needed, invested in our partner program, localized tech support, customer on-boarding and added customer success team members. We have the right people in the right roles and it’s making a difference. We have a commercial approach that is clear with the complete transparency that we wanted to provide our customers. We’ve got a more customer-focused approach and we’re on-boarding customers quickly so they’re up and running faster. We have happier customers than ever before and that’s the key to everything we do.
I thought it was very important to create a NY office space that was tied to branding and other offices around the world, and also had its own NY energy and culture for our team here – to foster collaboration and to have some fun. It was also important for us that we had a flexible space where we could welcome customers, partners and resellers, and also hold classes and dotUniversity training sessions. I’m really grateful to the team who worked on the space because it really reflects our team and what we care about. At any given time, you’ll see a training session happening, the team collaborating, a customer dropping in to ask a few questions or a partner dropping in to work from here. We love our new, NYC space.
We had a spectacular reception this week to celebrate the opening of this office with customers, partners and the dotmailer leadership team in attendance. Please take a look at the photos from our event on Facebook.
The start-up space is a great place to learn. You have to know where every dollar is going and coming from, so every choice you make needs to be backed up with a business case for that investment. You try lots of different things to see if they’ll work and you’re ready to turn those tactics up or down quickly based on an assessment of the results. You also learn things don’t have to stay the way they are, and can change if you make them change. You always listen and learn – to customers, partners, industry veterans, advisors, etc. to better understand what’s working and not working. dotmailer has been in business for 18 years now, and so there are so many great contributors across the business who know how things have worked and yet are always keen to keep improving. I am constantly in listening and learning mode so that I can understand all of the unique perspectives our team brings and what we need to act on.
On our path to being the market leader in the U.S., I’m focused on three things going forward: 1 – I want our customers to be truly happy. It’s already a big focus in the dotmailer organization – and we’re working hard to understand their challenges and goals so we can take product and service to the next level. 2 – Creating an even more robust program around partners, resellers and further building out our channel partners to continuously improve sales and customer service programs. We recently launched a certification program to ensure partners have all the training and resources they need to support our mutual customers. 3 – We have an aggressive growth plan for the U.S. and I’m very focused on making sure our team is well trained, and that we remain thoughtful and measured as we take the steps to grow. We want to always keep an eye on what we’re known for – tools that are powerful and simple to use – and make sure everything else we offer remains accessible and valuable as we execute our growth plans.
The questions we usually get are around price, service level and flexibility. How much does dotmailer cost? How well are you going to look after my business? How will you integrate into my existing stack and then my plans for future growth? We now have three transparent bundle options with specifics around what’s included published right on our website. We have introduced a customer success team that’s focused only on taking great care of our customers and we’re hearing stories every day that tells me this is working. And we have all of the tools to support our customers as they grow and to also integrate into their existing stacks – often integrating so well that you can use dotmailer from within Magento, Salesforce or Dynamics, for example.
In addition to the ones above – ease of use, speed of use and the ability to scale with you. With dotmailer’s tiered program, you can start with a lighter level of functionality and grow into more advanced functionality as you need it. The platform itself is so easy to use that most marketers are able to build campaigns in minutes that would have taken hours on other platforms. Our customer success team is also with you all the way if ever you want or need help. We’ve built a very powerful platform and we have a fantastic team to help you with personalized service as an extended part of your team and we’re ready to grow with you.
I’ve spent a lot of time on the road, one year I attended 22 tradeshows! Top tip when flying is to be willing to give up your seat for families or groups once you’re at the airport gate, as you’ll often be rewarded with a better seat for helping the airline make the family or group happy. Win win! Since joining dotmailer, I’m focused on being in office and present for the team and customers as much as possible. I can usually be found in our new, NYC office where I spend a lot of time with our team, in customer meetings, in trainings and other hosted events, sales conversations or marketing meetings. I’m here to help the team, clients and partners to succeed, and will always do my best to say yes! Once our prospective customers see how quickly and efficiently they can execute tasks with dotmailer solutions vs. their existing solutions, it’s a no-brainer for them. I love seeing and hearing their reactions.
I’m originally from Yorkshire in England, and grew up just outside York. I moved to the U.S. about seven years ago to join a very fast growing startup, we took it from 5 to well over 300 people which was a fantastic experience. I moved to NYC almost two years ago, and I love exploring this great city. There’s so much to see and do. Outside of dotmailer, my passion is cars, and I also enjoy skeet shooting, almost all types of music, and I love to travel – my goal is to get to India, Thailand, Australia and Japan in the near future.
Want to find out more about the dotfamily? Check out our recent post about Darren Hockley, Global Head of Support.
Posted by Cyrus-Shepard
Recently, Moz announced the results of our biennial Ranking Factors study. Today, we’d like to explore one of the most vital elements of the study: the Ranking Factors survey.
Every two years, Moz surveys the brightest minds in SEO and search marketing with a comprehensive set of questions meant to gauge the current workings of Google’s search algorithm. This year’s panel of experts possesses a truly unique set of knowledge and perspectives. We’re thankful on behalf of the entire community for their contribution.
In addition to asking the participants about what does and doesn’t work in Google’s ranking algorithm today, one of the most illuminating group of questions asks the panel to predict the future of search – how the features of Google’s algorithm are expected to change over the next 12 months.
Amazingly, almost all of the factors that are expected to increase in influence revolved around user experience, including:
The experts predicted that more traditional ranking signals, such as those around links and URL structures, would largely remain the same, while the more manipulative aspects of SEO, like paid links and anchor text (which is subject to manipulation), would largely decrease in influence.
The survey also asks respondents to weight the importance of various factors within Google’s current ranking algorithm (on a scale of 1-10). Understanding these areas of importance helps to inform webmasters and marketers where to invest time and energy in working to improve the search presence of their websites.
These features describe use of the keyword term/phrase in particular parts of the HTML code on the page (title element, H1s, alt attributes, etc).
Highest influence: Keyword present in title element, 8.34
Lowest influence: Keyword present in specific HTML elements (bold/italic/li/a/etc), 4.16
Titles are still very powerful. Overall, it’s about focus and matching query syntax. If your post is about airplane propellers but you go on a three paragraph rant about gorillas, you’re going to have a problem ranking for airplane propellers.
Keyword usage is vital to making the cut, but we don’t always see it correlate with ranking, because we’re only looking at what already made the cut. The page has to be relevant to appear for a query, IMO, but when it comes to how high the page ranks once it’s relevant, I think keywords have less impact than they once did. So, it’s a necessary but not sufficient condition to ranking.
In my experience, most of problems with organic visibility are related to on-page factors. When I look for an opportunity, I try to check for 2 strong things: presence of keyword in the title and in the main content. Having both can speed up your visibility, especially on long-tail queries.
These features cover how keywords are used in the root or subdomain name, and how much impact this might have on search engine rankings.
Highest influence: Keyword is the exact match root domain name, 5.83
Lowest influence: Keyword is the domain extension, 2.55
The only domain/keyword factor I’ve seen really influence rankings is an exact match. Subdomains, partial match, and others appear to have little or no effect.
There’s no direct influence, but an exact match root domain name can definitely lead to a higher CTR within the SERPs and therefore a better ranking in the long term.
It’s very easy to link keyword-rich domains with their success in Google’s results for the given keyword. I’m always mindful about other signals that align with domain name which may have contributed to its success. These includes inbound links, mentions, and local citations.
These features describe link metrics for the individual ranking page (such as number of links, PageRank, etc).
Highest influence: Raw quantity of links from high-authority sites, 7.78
Lowest influence: Sentiment of the external links pointing to the page, 3.85
High-quality links still rule rankings. The way a brand can earn links has become more important over the years, whereas link schemes can hurt a site more than ever before. There is a lot of FUD slinging in this respect!
Similar to my thoughts on content, I suspect link-based metrics are going to be used increasingly with a focus on verisimilitude (whether content is actually true or not) and relationships between nodes in Knowledge Graph. Google’s recent issues with things, such as the snippet results for “evolution,” highlight the importance of them only pulling things that are factually correct for featured parts of a SERP. Thus, just counting traditional link metrics won’t cut it anymore.
While anchor text is still a powerful ranking factor, using targeted anchor text carries a significant amount of risk and can easily wipe out your previous success.
These features describe elements that indicate qualities of branding and brand metrics.
Highest influence: Search volume for the brand/domain, 6.54
Lowest influence: Popularity of business’s official social media profiles, 3.99
This is clearly on deck to change very soon with the reintegration of Twitter into Google’s Real-Time Results. It will be interesting to see how this affects the “Breaking News” box and trending topics. Social influencers, quality and quantity of followers, RTs, and favorites will all be a factor. And what’s this?! Hashtags will be important again?! Have mercy!
Google has to give the people what they want, and if most of the time they are searching for a brand, Google is going to give them that brand. Google doesn’t have a brand bias, we do.
It’s already noticeable; brands are more prominently displayed in search results for both informational and commercial queries. I’m expecting Google will be paying more attention to brand-related metrics from now on (and certainly more initiatives to encourage site owners to optimize for better entity detection).
These features relate to third-party metrics from social media sources (Facebook, Twitter, Google+, etc) for the ranking page.
Highest influence: Engagement with content/URL on social networks, 3.87
Lowest influence: Upvotes for the page on social sites, 2.7
Social ranking factors are important in a revamped Query Deserves Freshness algorithm. Essentially, if your content gets a lot of natural tweets, shares, and likes, it will rank prominently for a short period of time, until larger and more authoritative sites catch up.
Social popularity has several factors to consider: (1) Years ago, Google and Bing said they take into account the authority of a social profile sharing a link and the popularity of the link being shared (retweets/reshares), and there was more complexity to social signals that was never revealed even back then. (2) My experience has been that social links and shares have more power for newsy/fresh-type content. For example, a lot of social shares for a dentist’s office website wouldn’t be nearly as powerful (or relevant to consider) as a lot of social shares for an article on a site with a constant flow of fresh content.
Honestly, I do not think that the so-called “social signals” have any direct influence on the Google Algorithm (that does not mean that a correlation doesn’t exist, though). My only doubt is related to Twitter, because of the renewed contract between Google and Twitter itself. That said, as of now I do not consider Twitter to offer any ranking signals, except for very specific niches related to news and “news-able” content, where QDF plays a fundamental role.
These elements describe non-keyword-usage, non-link-metrics features of individual pages (such as length of the page, load speed, etc).
Highest influence: Uniqueness of the content on the page, 7.85
Lowest influence: Page contains Open Graph data and/or Twitter cards, 3.64
By branching mobile search off of Google’s core ranking algorithm, having a “mobile-friendly” website is probably now less important for desktop search rankings. Our clients are seeing an ever-increasing percentage of organic search traffic coming from mobile devices, though (particularly in retail), so this is certainly not an excuse to ignore responsive design – the opposite, in fact. Click-through rate from the SERPs has been an important ranking signal for a long time and continues to be, flagging irrelevant or poor-quality search listings.
I believe many of these will be measured within the ecosystem, rather than absolutely. For example, the effect of bounce rate (or rather, bounce speed) on a site will be relative to the bounce speeds on other pages in similar positions for similar terms.
I want to answer these a certain way because, while I have been told by Google what matters to them, what I see in the SERPs does not back up what Google claims they want. There are a lot of sites out there with horrible UX that rank in the top three. While I believe it’s really important for conversion and to bring customers back, I don’t feel as though Google is all that concerned, based on the sites that rank highly. Additionally, Google practically screams “unique content,” yet sites that more or less steal and republish content from other sites are still ranking highly. What I think should matter to Google doesn’t seem to matter to them, based on the results they give me.
These features describe link metrics about the domain hosting the page.
Highest influence: Quantity of unique linking domains to the domain, 7.45
Lowest influence: Sentiment of the external links pointing to the site, 3.91
Quantity and quality of unique linking domains at the domain level is still among the most significant factors in determining how a domain will perform as a whole in the organic search results, and is among the best SEO “spot checks” for determining if a site will be successful relative to other competitor sites with similar content and selling points.
Throughout this survey, when I say “no direct influence,” this is interchangeable with “no direct positive influence.” For example, I’ve marked exact match domain as low numbers, while their actual influence may be higher – though negatively.
Topical relevancy has, in my opinion, gained much ground as a relevant ranking factor. Although I find it most at play when at page level, I am seeing significant shifts at overall domain relevancy, by long-tail growth or by topically-relevant domains linking to sites. One way I judge such movements is the growth of the long-tail relevant to the subject or ranking, when neither anchor text (exact match or synonyms) nor exact phrase is used in a site’s content, yet it still ranks very highly for long-tail and mid-tail synonyms.
These features relate to the entire root domain, but don’t directly describe link- or keyword-based elements. Instead, they relate to things like the length of the domain name in characters.
Highest influence: Uniqueness of content across the whole site, 7.52
Lowest influence: Length of time until domain name expires, 2.45
Character length of domain name is another correlative yet not causative factor, in my opinion. They don’t need to rule these out – it just so happens that longer domain names get clicked on, so they get ruled out quickly.
A few points: Google’s document inception date patents describe how Google might handle freshness and maturity of content for a query. The “trust signal” pages sound like a site quality metric that Google might use to score a page on the basis of site quality. Some white papers from Microsoft on web spam signals identified multiple hyphens in subdomains as evidence of web spam. The length of time until the domain expires was cited as a potential signal in Google’s patent on information retrieval through historic data, and was refuted by Matt Cutts after domain sellers started trying to use that information to sell domain extensions to “help the SEO” of a site.
I think that page speed only becomes a factor when it is significantly slow. I think that having error pages on the site doesn’t matter, unless there are so many that it greatly impacts Google’s ability to crawl.
To bring it back to the beginning, we asked the experts if they had any comments or alternative signals they think will become more or less important over the next 12 months.
While I expect that static factors, such as incoming links and anchor text, will remain influential, I think the power of these will be mediated by the presence or absence of engagement factors.
The app world and webpage world are getting lumped together. If you have the more popular app relative to your competitors, expect Google to notice.
Mobile will continue to increase, with directly-related factors increasing as well. Structured data will increase, along with more data partners and user segmentation/personalization of SERPs to match query intent, localization, and device-specific need states.
User location may have more influence in mobile SERPs as (a) more connected devices like cars and watches allow voice search, and (b) sites evolve accordingly to make such signals more accurate.
I really think that over the next 12-18 months we are going to see a larger impact of structured data in the SERPs. In fact, we are already seeing this. Google has teams that focus on artificial intelligence and machine learning. They are studying “relationships of interest” and, at the heart of what they are doing, are still looking to provide the most relevant result in the quickest fashion. Things like schema that help “educate” the search engines as to a given topic or entity are only going to become more important as a result.
For more data, check out the complete Ranking Factors Survey results.
Finally, we leave you with this infographic created by Kevin Engle which shows the relative weighting of broad areas of Google’s algorithm, according to the experts.
What’s your opinion on the future of search and SEO? Let us know in the comments below.
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Posted by David-Mihm
To all Moz Local fans in the UK, I’m excited to announce that your wait is over. As the sun rises “across the pond” this morning, Moz Local is officially live in the United Kingdom!
As many of you know, we released the US version of Moz Local in March 2014. After 12 months of terrific growth in the US, and a boatload of technical improvements and feature releases–especially for Enterprise customers–we released the Check Listing feature for a limited set of partner search engines and directories in the UK in April of this year.
Over 20,000 of you have checked your listings (or your clients’ listings) in the last 3-1/2 months. Those lookups have helped us refine and improve the background technology immensely (more on that below). We’ve been just as eager to release the fully-featured product as you’ve been to use it, and the technical pieces have finally fallen into place for us to do so.
The concept is the same as the US version of Moz Local: show you how accurately and completely your business is listed on the most important local search platforms and directories, and optimize and perfect as many of those business listings as we can on your behalf.
For customers specifically looking for you, accurate business listings are obviously important. For customers who might not know about you yet, they’re also among the most important factors for ranking in local searches on Google. Basically, the more times Google sees your name, address, phone, and website listed the same way on quality local websites, the more trust they have in your business, and the higher you’re likely to rank.
Moz Local is designed to help on both these fronts.
To use the product, you simply need to type a name and postcode at moz.com/local. We’ll then show you a list of the closest matching listings we found. We prioritize verified listing information that we find on Google or Facebook, and selecting one of those verified listings means we’ll be able to distribute it on your behalf.
Clicking on a result brings you to a full details report for that listing. We’ll show you how accurate and complete your listings are now, and where they could be after using our product.
Clicking the tabs beneath the Listing Score graphic will show you some of the incompletions and inconsistencies that publishing your listing with Moz Local will address.
For customers with hundreds or thousands of locations, bulk upload is also available using a modified version of your data from Google My Business–feel free to e-mail email@example.com for more details.
We’ve prioritized the most important commercial sites in the UK local search ecosystem, and made them the centerpieces of Moz Local. We’ll update your data directly on globally-important players Factual and Foursquare, and the UK-specific players CentralIndex, Thomson Local, and the Scoot network–which includes key directories like TouchLocal, The Independent, The Sun, The Mirror, The Daily Scotsman, and Wales Online.
We’ll be adding two more major destinations shortly, and for those of you who sign up before that time, your listings will be automatically distributed to the additional destinations when the integrations are complete.
The cost per listing is £84/year, which includes distribution to the sites mentioned above with unlimited updates throughout the year, monitoring of your progress over time, geographically- focused reporting, and the ability to find and close duplicate listings right from your Moz Local dashboard–all the great upgrades that my colleague Noam Chitayat blogged about here.
Well, as I mentioned just a couple paragraphs ago, we’ve got two additional destinations to which we’ll be sending your data in very short order. Once those integrations are complete, we’ll be just a few weeks away from releasing our biggest set of features since we launched. I look forward to sharing more about these features at BrightonSEO at the end of the summer!
For those of you around the world in Canada, Australia, and other countries, we know there’s plenty of demand for Moz Local overseas, and we’re working as quickly as we can to build additional relationships abroad. And to our friends in the UK, please let us know how we can continue to make the product even better!
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Posted by Dr-Pete
It’s been another wild year in search marketing. Mobilegeddon crushed our Twitter streams, but not our dreams, and Matt Cutts stepped out of the spotlight to make way for an uncertain Google future. Pandas and Penguins continue to torment us, but most days, like anyone else, we were just trying to get the job done and earn a living.
This year, over 3,600 brave souls, each one more intelligent and good-looking than the last, completed our survey. While the last survey was technically “2014”, we collected data for it in late 2013, so the 2015 survey reflects about 18 months of industry changes.
Let’s dig in. Almost half (49%) of our 2015 respondents involved in search marketing were in-house marketers. In-house teams still tend to be small – 71% of our in-house marketers reported only 1-3 people in their company being involved in search marketing at least quarter-time. These teams do have substantial influence, though, with 86% reporting that they were involved in purchasing decisions.
Agency search marketers reported larger teams and more diverse responsibilities. More than one-third (36%) of agency marketers in our survey reported working with more than 20 clients in the previous year. Agencies covered a wide range of services, with the top 5 being:
More than four-fifths (81%) of agency respondents reported providing both SEO and SEM services for clients. Please note that respondents could select more than one service/tool/etc., so the charts in this post will not add up to 100%.
The vast majority of respondents (85%) reported being directly involved with content marketing, which was on par with 2014. Nearly two-thirds (66%) of agency content marketers reported “Content for SEO purposes” as their top activity, although “Building Content Strategy” came in a solid second at 44% of respondents.
Where do we get such wonderful toys? We marketers love our tools, so let’s take a look at the Top 10 tools across a range of categories. Please note that this survey was conducted here on Moz, and our audience certainly has a pro-Moz slant.
Up first, here are the Top 10 SEO tools in our survey:
Just like last time, Google Webmaster Tools (now “Search Console”) leads the way. Moz Pro and Majestic slipped a little bit, and Firebug fell out of the Top 10. The core players remained fairly stable.
Here are the Top 10 Content tools in our survey:
Even with its uncertain future, Google Alerts continues to be widely used. There are a lot of newcomers to the content tools world, so year-over-year comparisons are tricky. Expect even more players in this market in the coming year.
Following are our respondents’ Top 10 analytics tools:
For an industry that complains about Google so much, we sure do seem to love their stuff. Google Analytics dominates, crushing the enterprise players, at least in the mid-market. KISSmetrics gained solid ground (from the #10 spot last time), while home-brewed tools slipped a bit. CrazyEgg and WordPress Stats remain very popular since our last survey.
Finally, here are the Top 10 social tools used by our respondents:
Facebook Insights and Hootsuite retained the top spots from last year, but newcomer Twitter Analytics rocketed into the #3 position. LinkedIn Insights emerged as a strong contender, too. Overall usage of all social tools increased. Tweetdeck held the #6 spot in 2014, with 19% usage, but dropped to #10 this year, even bumping up slightly to 20%.
Of course, digging into social tools naturally begs the question of which social networks are at the top of our lists.
The Top 6 are unchanged since our last survey, and it’s clear that the barriers to entry to compete with the big social networks are only getting higher. Instagram doubled its usage (from 11% of respondents last time), but this still wasn’t enough to overtake Pinterest. Reddit and Quora saw steady growth, and StumbleUpon slipped out of the Top 10.
So, what exactly do we do with these tools and all of our time? Across all online marketers in our survey, the Top 5 activities were:
For in-house marketers, “Site Audits” dropped to the #6 position and “Brand Strategy” jumped up to the #3 spot. Naturally, in-house marketers have more resources to focus on strategy.
For agencies and consultants, “Site Audits” bumped up to #2, and “Managing People” pushed down social media to take the #5 position. Larger agency teams require more traditional people wrangling.
Here’s a much more detailed breakdown of how we spend our time in 2015:
In terms of overall demand for services, the Top 5 winners (calculated by % reporting increase – % reporting decrease were):
Demand for CRO is growing at a steady clip, but analytics still leads the way. Both “Content Creation” (#2) and “Content Curation” (#6) showed solid demand increases.
Some categories reported both gains and losses – 30% of respondents reported increased demand for “Link Building”, while 20% reported decreased demand. Similarly, 20% reported increased demand for “Link Removal”, while almost as many (17%) reported decreased demand. This may be a result of overall demand shifts, or it may represent more specialization by agencies and consultants.
It’s clear that our job as online marketers is becoming more diverse, more challenging, and more strategic. We have to have a command of a wide array of tools and tactics, and that’s not going to slow down any time soon. On the bright side, companies are more aware of what we do, and they’re more willing to spend the money to have it done. Our evolution has barely begun as an industry, and you can expect more changes and growth in the coming year.
If you’d like to take a look through the raw results from this year’s survey (we’ve removed identifying information like email addresses from all responses), we’ve got that for you here:
Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!
Posted by Isla_McKetta
Quick note: This article is meant to apply to teams of all sizes, from the sole proprietor who spends all night writing their copy (because they’re doing business during the day) to the copy team who occupies an entire floor and produces thousands of pieces of content per week. So if you run into a section that you feel requires more resources than you can devote just now, that’s okay. Bookmark it and revisit when you can, or scale the step down to a more appropriate size for your team. We believe all the information here is important, but that does not mean you have to do everything right now.
If you thought ideation was fun, get ready for content creation. Sure, we’ve all written some things before, but the creation phase of content marketing is where you get to watch that beloved idea start to take shape.
Before you start creating, though, you want to get (at least a little) organized, and an editorial calendar is the perfect first step.
Creativity and organization are not mutually exclusive. In fact, they can feed each other. A solid schedule gives you and your writers the time and space to be wild and creative. If you’re just starting out, this document may be sparse, but it’s no less important. Starting early with your editorial calendar also saves you from creating content willy-nilly and then finding out months later that no one ever finished that pesky (but crucial) “About” page.
There’s no wrong way to set up your editorial calendar, as long as it’s meeting your needs. Remember that an editorial calendar is a living document, and it will need to change as a hot topic comes up or an author drops out.
There are a lot of different types of documents that pass for editorial calendars. You get to pick the one that’s right for your team. The simplest version is a straight-up calendar with post titles written out on each day. You could even use a wall calendar and a Sharpie.
||The Five Colors of Oscar Fashion||12 Fabrics We’re Watching for Fall||Is Charmeuse the New Corduroy?||Hot Right Now: Matching Your Handbag to Your Hatpin||Tea-length and Other Fab Vocab You Need to Know|
Teams who are balancing content for different brands at agencies or other more complex content environments will want to add categories, author information, content type, social promo, and more to their calendars.
Truly complex editorial calendars are more like hybrid content creation/editorial calendars, where each of the steps to create and publish the content are indicated and someone has planned for how long all of that takes. These can be very helpful if the content you’re responsible for crosses a lot of teams and can take a long time to complete. It doesn’t matter if you’re using Excel or a Google Doc, as long as the people who need the calendar can easily access it. Gantt charts can be excellent for this. Here’s a favorite template for creating a Gantt chart in Google Docs (and they only get more sophisticated).
Complex calendars can encompass everything from ideation through writing, legal review, and publishing. You might even add content localization if your empire spans more than one continent to make sure you have the currency, date formatting, and even slang right.
Governance outlines who is taking responsibility for your content. Who evaluates your content performance? What about freshness? Who decides to update (or kill) an older post? Who designs and optimizes workflows for your team or chooses and manages your CMS?
All these individual concerns fall into two overarching components to governance: daily maintenance and overall strategy. In the long run it helps if one person has oversight of the whole process, but the smaller steps can easily be split among many team members. Read this to take your governance to the next level.
The scale of your writing enterprise doesn’t have to be limited to the number of authors you have on your team. It’s also important to consider the possibility of working with freelancers and guest authors. Here’s a look at the pros and cons of outsourced versus in-house talent.
Guest authors and freelancers
You (as part of their salary)
You (on a per-piece basis)
Subject matter expertise
Broad but shallow
Deep but narrow
Capacity for extra work
As you wish
Show me the Benjamins
On a dime
From that table, it might look like in-house authors have a lot more advantages. That’s somewhat true, but do not underestimate the value of occasionally working with a true industry expert who has name recognition and a huge following. Whichever route you take (and there are plenty of hybrid options), it’s always okay to ask that the writers you are working with be professional about communication, payment, and deadlines. In some industries, guest writers will write for links. Consider yourself lucky if that’s true. Remember, though, that the final paycheck can be great leverage for getting a writer to do exactly what you need them to (such as making their deadlines).
So those are some things you need to have in place before you create content. Now’s the fun part: getting started. One of the beautiful things about the Internet is that new and exciting tools crop up every day to help make our jobs easier and more efficient. Here are a few of our favorites.
You can always use Excel or a Google Doc to set up your editorial calendar, but we really like Trello for the ability to gather a lot of information in one card and then drag and drop it into place. Once there are actual dates attached to your content, you might be happier with something like a Google Calendar.
If you need a quick fix for ideation, turn your keywords into wacky ideas with Portent’s Title Maker. You probably won’t want to write to the exact title you’re given (although “True Facts about Justin Bieber’s Love of Pickles” does sound pretty fascinating…), but it’s a good way to get loose and look at your topic from a new angle.
Once you’ve got that idea solidified, find out what your audience thinks about it by gathering information with Survey Monkey or your favorite survey tool. Or, use Storify to listen to what people are saying about your topic across a wide variety of platforms. You can also use Storify to save those references and turn them into a piece of content or an illustration for one. Don’t forget that a simple social ask can also do wonders.
Content doesn’t have to be all about the words. Screencasts, Google+ Hangouts, and presentations are all interesting ways to approach content. Remember that not everyone’s a reader. Some of your audience will be more interested in visual or interactive content. Make something for everyone.
Don’t forget to make your content pretty. It’s not that hard to find free stock images online (just make sure you aren’t violating someone’s copyright). We like Morgue File, Free Images, and Flickr’s Creative Commons. If you aren’t into stock images and don’t have access to in-house graphic design, it’s still relatively easy to add images to your content. Pull a screenshot with Skitch or dress up an existing image with Pixlr. You can also use something like Canva to create custom graphics.
Don’t stop with static graphics, though. There are so many tools out there to help you create gifs, quizzes and polls, maps, and even interactive timelines. Dream it, then search for it. Chances are whatever you’re thinking of is doable.
Less is more. That’s not an excuse to pare your blog down to one post per month (check out our publishing cadence experiment), but it is an important reminder that if you’re writing “How to Properly Install a Toilet Seat” two days after publishing “Toilet Seat Installation for Dummies,” you might want to rethink your strategy.
The thing is, and I’m going to use another cliché here to drive home the point, you never get a second chance to make a first impression. Potential customers are roving the Internet right now looking for exactly what you’re selling. And if what they find is an only somewhat informative article stuffed with keywords and awful spelling and grammar mistakes… well, you don’t want that. Oh, and search engines think it’s spammy too…
We’re not copyright lawyers, so we can’t give you the ins and outs on all the technicalities. What we can tell you (and you already know this) is that it’s not okay to steal someone else’s work. You wouldn’t want them to do it to you. This includes images. So whenever you can, make your own images or find images that you can either purchase the rights to (stock imagery) or license under Creative Commons.
It’s usually okay to quote short portions of text, as long as you attribute the original source (and a link is nice). In general, titles and ideas can’t be copyrighted (though they might be trademarked or patented). When in doubt, asking for permission is smart.
That said, part of the fun of the Internet is the remixing culture which includes using things like memes and gifs. Just know that if you go that route, there is a certain amount of risk involved.
Your content needs to go through at least one editing cycle by someone other than the original author. There are two types of editing, developmental (which looks at the underlying structure of a piece that happens earlier in the writing cycle) and copy editing (which makes sure all the words are there and spelled right in the final draft).
If you have a very small team or are in a rush (and are working with writers that have some skill), you can often skip the developmental editing phase. But know that an investment in that close read of an early draft is often beneficial to the piece and to the writer’s overall growth.
Many content teams peer-edit work, which can be great. Other organizations prefer to run their work by a dedicated editor. There’s no wrong answer, as long as the work gets edited.
The good news is that search engines are doing their best to get closer and closer to understanding and processing natural language. So good writing (including the natural use of synonyms rather than repeating those keywords over and over and…) will take you a long way towards SEO mastery.
For that reason (and because it’s easy to get trapped in keyword thinking and veer into keyword stuffing), it’s often nice to think of your SEO check as a further edit of the post rather than something you should think about as you’re writing.
But there are still a few things you can do to help cover those SEO bets. Once you have that draft, do a pass for SEO to make sure you’ve covered the following:
Writing (assuming you’re the one doing the writing) can require a lot of energy—especially if you want to do it well. The best way to find time to write is to break each project down into little tasks. For example, writing a blog post actually breaks down into these steps (though not always in this order):
So if you only have random chunks of time, set aside 15-30 minutes one day (when your research is complete) to write a really great outline. Then find an hour the next to fill that outline in. After an additional hour the following day, (unless you’re dealing with a research-heavy post) you should have a solid draft by the end of day three.
The magic of working this way is that you engage your brain and then give it time to work in the background while you accomplish other tasks. Hemingway used to stop mid-sentence at the end of his writing days for the same reason.
Once you have that draft nailed, the rest of the steps are relatively easy (even the headline, which often takes longer to write than any other sentence, is easier after you’ve immersed yourself in the post over a few days).
Every designer and developer is a little different, so we can’t give you any blanket cure-alls for inter-departmental workarounds (aka “smashing silos”). But here are some suggestions to help you convey your vision while capitalizing on the expertise of your coworkers to make your content truly excellent.
From the initial brainstorm to general questions about how to work together, asking your team members what they think and prefer can go a long way. Communicate all the details you have (especially the unspoken expectations) and then listen.
If your designer tells you up front that your color scheme is years out of date, you’re saving time. And if your developer tells you that the interactive version of that timeline will require four times the resources, you have the info you need to fight for more budget (or reassess the project).
Things change in the design and development process. If you have interim check-ins already set up with everyone who’s working on the project, you’ll avoid the potential for nasty surprises at the end. Like finding out that no one has experience working with that hot new coding language you just read about and they’re trying to do a workaround that isn’t working.
Your job isn’t done when you hand over the copy to your designer or developer. Not only might they need help rewriting some of your text so that it fits in certain areas, they will also need you to proofread the final version. Accidents happen in the copy-and-paste process and there’s nothing sadder than a really beautiful (and expensive) piece of content that wraps up with a typo:
Conflict isn’t fun, but sometimes it’s necessary. The more people involved in your content, the more watered down the original idea can get and the more roadblocks and conflicting ideas you’ll run into. Some of that is very useful. But sometimes you’ll get pulled off track. Always remember who owns the final product (this may not be you) and be ready to stand up for the idea if it’s starting to get off track.
We’re confident this list will set you on the right path to creating some really awesome content, but is there more you’d like to know? Ask us your questions in the comments.
Posted by KelseyLibert
When it comes to job availability and security, the future looks bright for inbound marketers.
The Bureau of Labor Statistics (BLS) projects that employment for marketing managers will grow by 13% between 2012 and 2022. Job security for marketing managers also looks positive according to the BLS, which cites that marketing employees are less likely to be laid off since marketing drives revenue for most businesses.
While the BLS provides growth estimates for managerial-level marketing roles, these projections don’t give much insight into the growth of digital marketing, specifically the disciplines within digital marketing. As we know, “marketing” can refer to a variety of different specializations and methodologies. Since digital marketing is still relatively new compared to other fields, there is not much comprehensive research on job growth and trends in our industry.
To gain a better understanding of the current state of digital marketing careers, Fractl teamed up with Moz to identify which skills and roles are the most in demand and which states have the greatest concentration of jobs.
We analyzed 75,315 job listings posted on Indeed.com during June 2015 based on data gathered from job ads containing the following terms:
We chose the above keywords based on their likelihood to return results that were marketing-focused roles (for example, just searching for “social media” may return a lot of jobs that are not primarily marketing focused, such as customer service). The occurrence of each of these terms in job listings was quantified and segmented by state. We then combined the job listing data with U.S. Census Bureau population estimates to calculate the jobs per capita for each keyword, giving us the states with the greatest concentration of jobs for a given search query.
Using the same data, we identified which job titles appeared most frequently. We used existing data from Indeed to determine job trends and average salaries. LinkedIn search results were also used to identify keyword growth in user profiles.
As the marketing industry continues to evolve due to emerging technology and marketing platforms, marketers are expected to pick up new skills and broaden their knowledge more quickly than ever before. Many believe this rapid rate of change has caused a marketing skills gap, making it difficult to find candidates with the technical, creative, and business proficiencies needed to succeed in digital marketing.
The ability to combine analytical thinking with creative execution is highly desirable and necessary in today’s marketing landscape. According to an article in The Guardian, “Companies will increasingly look for rounded individuals who can combine analytical rigor with the ability to apply this knowledge in a practical and creative context.” Being both detail-oriented and a big picture thinker is also a sought-after combination of attributes. A report by The Economist and Marketo found that “CMOs want people with the ability to grasp and manage the details (in data, technology, and marketing operations) combined with a view of the strategic big picture.”
But well-rounded marketers are hard to come by. In a study conducted by Bullhorn, 64% of recruiters reported a shortage of skilled candidates for available marketing roles. Wanted Analytics recently found that one of the biggest national talent shortages is for marketing manager roles, with only two available candidates per job opening.
While recruiter frustrations may indicate a shallow talent pool, LinkedIn tells a different story—the number of U.S.-based marketers who identify themselves as having digital marketing skills is on the rise. Using data tracked by Rand and LinkedIn, we found the following increases of marketing keywords within user profiles.
The number of profiles containing “content marketing” has seen the largest growth, with a 168% increase since 2013. “Social media” has also seen significant growth with a 137% increase. “Social media” appears on a significantly higher volume of profiles than the other keywords, with more than 2.2 million profiles containing some mention of social media. Although “SEO” has not seen as much growth as the other keywords, it still has the second-highest volume with it appearing in 630,717 profiles.
Why is there a growing number of people self-identifying as having the marketing skills recruiters want, yet recruiters think there is a lack of talent?
While there may be a lot of specialists out there, perhaps recruiters are struggling to fill marketing roles due to a lack of generalists or even a lack of specialists with surface-level knowledge of other areas of digital marketing (also known as a T-shaped marketer).
The data we gathered from LinkedIn confirm this, as the 20 most common digital marketing-related job titles being advertised call for a broad mix of skills.
It’s no wonder that marketing manager roles are hard to fill, considering the job ads are looking for proficiency in a wide range of marketing disciplines including social media marketing, SEO, PPC, content marketing, Google Analytics, and digital marketing. Even job descriptions for specialist roles tend to call for skills in other disciplines. A particular role such as SEO Specialist may call for several skills other than SEO, such as PPC, content marketing, and Google Analytics.
Taking a more granular look at job titles, the chart below shows the five most common titles for each search query. One might expect mostly specialist roles to appear here, but there is a high occurrence of generalist positions, such as Digital Marketing Manager and Marketing Manager.
Only one job title containing “SEO” cracked the top five. This indicates that SEO knowledge is a desirable skill within other roles, such as general digital marketing and development.
Recruiter was the third most common job title among job listings containing social media keywords, which suggests a need for social media skills in non-marketing roles.
Similar to what we saw with SEO job titles, only one job title specific to PPC (Paid Search Specialist) made it into the top job titles. PPC skills are becoming necessary for more general marketing roles, such as Marketing Manager and Digital Marketing Specialist.
Across all search queries, the most common jobs advertised call for a broad mix of skills. This tells us hiring managers are on the hunt for well-rounded candidates with a diverse range of marketing skills, as opposed to candidates with expertise in one area.
Marketers who cultivate diverse skill sets are better poised to gain an advantage over other job seekers, excel in their job role, and accelerate career growth. Jason Miller says it best in his piece about the new breed hybrid marketer:
Using data from Indeed, we identified which inbound skills have the highest demand and which jobs are seeing the most growth. Social media keywords claim the largest volume of results out of the terms we searched for during June 2015.
“Social media marketing” or “social media management” appeared the most frequently in the job postings we analyzed, with 46.7% containing these keywords. “PPC” returned the smallest number of results, with only 3.8% of listings containing this term.
Perhaps this is due to social media becoming a more necessary skill across many industries and not only a necessity for marketers (for example, social media’s role in customer service and recruitment). On the other hand, job roles calling for PPC or SEO skills are most likely marketing-focused. The prevalence of social media jobs also may indicate that social media has gained wide acceptance as a necessary part of a marketing strategy. Additionally, social media skills are less valuable compared to other marketing skills, making it cheaper to hire for these positions (we will explore this further in the average salaries section below).
Our search results also included a high volume of jobs containing “digital marketing” and “SEO” keywords, which made up 19.5% and 15.5% respectively. At 5.8%, “content marketing” had the lowest search volume after “PPC.”
While the number of job listings tells us which skills are most in demand today, looking at which jobs are seeing the most growth can give insight into shifting demands.
Digital marketing job listings have seen substantial growth since 2009, when it accounted for less than 0.1% of Indeed.com search results. In January 2015, this number had climbed to nearly 0.3%.
While social media marketing jobs have seen some uneven growth, as of January 2015 more than 0.1% of all job listings on Indeed.com contained the term “social media marketing” or “social media management.” This shows a significant upward trend considering this number was around 0.05% for most of 2014. It’s also worth noting that “social media” is currently ranked No. 10 on Indeed’s list of top job trends.
Despite its growth from 0.02% to nearly 0.09% of search volume in the last four years, “content marketing” does not make up a large volume of job postings compared to “digital marketing” or “social media.” In fact, “SEO” has seen a decrease in growth but still constitutes a higher percentage of job listings than content marketing.
On the other hand, search volume on Indeed has either decreased or plateaued for “SEO,” “PPC,” and “Google Analytics.”
As we see in the graph, the volume of “SEO job” listings peaked between 2011 and 2012. This is also around the time content marketing began gaining popularity, thanks to the Panda and Penguin updates. The decrease may be explained by companies moving their marketing budgets away from SEO and toward content or social media positions. However, “SEO” still has a significant amount of job listings, with it appearing in more than 0.2% of job listings on Indeed as of 2015.
“PPC” has seen the most staggered growth among all the search terms we analyzed, with its peak of nearly 0.1% happening between 2012 and 2013. As of January of this year, search volume was below 0.05% for “PPC.”
Despite a lack of growth, the need for this skill remains steady. Between 2008 and 2009, “Google Analytics” job ads saw a huge spike on Indeed. Since then, the search volume has tapered off and plateaued through January 2015.
So we know the number of social media, digital marketing, and content marketing jobs are on the rise. But which skills are worth the most? We looked at the average salaries based on keywords and estimates from Indeed and salaries listed in job ads.
Job titles containing “SEO” had an average salary of $102,000. Meanwhile, job titles containing “social media marketing” had an average salary of $51,000. Considering such a large percentage of the job listings we analyzed contained “social media” keywords, there is a much larger pool of jobs; therefore, a lot of entry level social media jobs or internships are probably bringing down the average salary.
Job titles containing “Google Analytics” had the second-highest average salary at $82,000, but this should be taken with a grain of salt considering “Google Analytics” will rarely appear as part of a job title. The chart below, which shows average salaries for jobs containing keywords anywhere in the listing as opposed to only in the title, gives a more accurate idea of how much “Google Analytics” job roles earn on average.
Looking at the average salaries based on keywords that appeared anywhere within the job listing (job title, job description, etc.) shows a slightly different picture. Based on this, jobs containing “digital marketing” or “inbound marketing” had the highest average salary of $84,000. “SEO” and “Google Analytics” are tied for second with $76,000 as the average salary.
“Social media marketing” takes the bottom spot with an average salary of $57,000. However, notice that there is a higher average salary for jobs that contain “social media” within the job listing as opposed to jobs that contain “social media” within the title. This suggests that social media skills may be more valuable when combined with other responsibilities and skills, whereas a strictly social media job, such as Social Media Manager or Social Media Specialist, does not earn as much.
Looking for a new job? Maybe it’s time to pack your bags for Boston.
Massachusetts led the U.S. with the most jobs per capita for digital marketing, content marketing, SEO, and Google Analytics. New York took the top spot for social media jobs per capita, while Utah had the highest concentration of PPC jobs. California ranked in the top three for digital marketing, content marketing, social media, and Google Analytics. Illinois appeared in the top 10 for every term and usually ranked within the top five. Most of the states with the highest job concentrations are in the Northeast, West, and East Coast, with a few exceptions such as Illinois and Minnesota.
But you don’t necessarily have to move to a new state to increase the odds of landing an inbound marketing job. Some unexpected states also made the cut, with Connecticut and Vermont ranking within the top 10 for several keywords.
Job listings containing “digital marketing” or “inbound marketing” were most prevalent in Massachusetts, New York, Illinois, and California, which is most likely due to these states being home to major cities where marketing agencies and large brands are headquartered or have a presence. You will notice these four states make an appearance in the top 10 for every other search query and usually rank close to the top of the list.
More surprising to find in the top 10 were smaller states such as Connecticut and Vermont. Many major organizations are headquartered in Connecticut, which may be driving the state’s need for digital marketing talent. Vermont’s high-tech industry growth may explain its high concentration of digital marketing jobs.
Although content marketing jobs are growing, there are still a low volume overall of available jobs, as shown by the low jobs per capita compared to most of the other search queries. With more than three jobs per capita, Massachusetts and New York topped the list for the highest concentration of job listings containing “content marketing” or “content strategy.” California and Illinois rank in third and fourth with 2.8 and 2.1 jobs per capita respectively.
Again, Massachusetts and New York took the top spots, each with more than eight SEO jobs per capita. Utah took third place for the highest concentration of SEO jobs. Surprised to see Utah rank in the top 10? Its inclusion on this list and others may be due to its booming tech startup scene, which has earned the metropolitan areas of Salt Lake City, Provo, and Park City the nickname Silicon Slopes.
Compared to the other keywords, “social media” sees a much higher concentration of jobs. New York dominates the rankings with nearly 24 social media jobs per capita. The other top contenders of California, Massachusetts, and Illinois all have more than 15 social media jobs per capita.
The numbers at the bottom of this list can give you an idea of how prevalent social media jobs were compared to any other keyword we analyzed. Minnesota’s 12.1 jobs per capita, the lowest ranking state in the top 10 for social media, trumps even the highest ranking state for any other keyword (11.5 digital marketing jobs per capita in Massachusetts).
Due to its low overall number of available jobs, “PPC” sees the lowest jobs per capita out of all the search queries. Utah has the highest concentration of jobs with just two PPC jobs per 100,000 residents. It is also the only state in the top 10 to crack two jobs per capita.
Regionally, the Northeast and West dominate the rankings, with the exception of Illinois. Massachusetts and New York are tied for the most Google Analytics job postings, each with nearly five jobs per capita. At more than three jobs per 100,000 residents, California, Illinois, and Colorado round out the top five.
Overall, our findings indicate that none of the marketing disciplines we analyzed are dying career choices, but there is a need to become more than a one-trick pony—or else you’ll risk getting passed up for job opportunities. As the marketing industry evolves, there is a greater need for marketers who “wear many hats” and have competencies across different marketing disciplines. Marketers who develop diverse skill sets can gain a competitive advantage in the job market and achieve greater career growth.
Posted by randfish
To get a sense for the potential value of keywords in a certain niche, we need to do more than just look at the number of searches those keywords get each month. In today’s Whiteboard Friday, Rand explains what else we should be looking at, and how we can use other data to prioritize some groups over others.
Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week I want to chat about how you can estimate the total volume and value of a large set of keywords in a market or a niche.
Look, we’re going to try and simplify this and reduce it to something that is actually manageable, because you can go way, way deep down a well. You could spend a year trying to figure out whether Market A or Market B is better to enter or better to chase keywords in, better to create content in. But I want to try and make it a little simple without reducing it to something that is of no value whatsoever, which unfortunately can be how some marketers have looked at this in the past.
So let’s try this thought exercise. Let’s say I’m a recipe site or a food site and I’m thinking I want to get into the Asian noodles scene. There’s a lot of awesome Asian noodles out there. I, in fact, had Chow fun for lunch from Trove on Capitol Hill. When you come to MozCon, you have to try them. It’s awesome.
So maybe I’m looking at Chow fun and sort of all the keyword sets around those, that Chinese noodle world. Maybe I’m looking at pad Thai, a very popular Thai noodle, particularly in the U.S., and maybe Vietnamese rice noodles or bun. I’m trying to figure out which of these is the one that I should target. Should I start creating a lot of pad Thai recipes, a lot of Chow fun recipes? Should I go research one or the other of these? Am I going to chase the mid and long tail keywords?
I’m about to invest a large amount of effort and really build up a brand around this. Which one of these should I do?
Side note, this is getting more and more important as Google is moving to these topic modeling and sight specific, topic authority models. So if Google starts to identify my site as being an authority on Chow fun, I can expect to rank for all sorts of awesome stuff around it, versus if I just kind of dive in and out and have one-offs of Chow fun and 50 different other kinds of noodles. So this gets really important.
A massively oversimplified version, that a lot of people have done in the past, is to look broadly at kind of AdWords groups, the ones that AdWords selects for you, or individual keywords and say, “Oh, okay. Well, Chow fun gets 22,000 searches a month, Pad Thai gets 165,000, and rice noodles, which is the most popular version of that query — it could also be called Vietnamese noodles or bun noodles or something like that — gets 27,000. So there you go, one, two, three.
This is dead wrong. It’s totally oversimplified. It’s not taking into account all the things we have to do to really understand the market.
First off, this isn’t going to include all the variations, the mid and long tail keywords. So potentially there might be a ton of variations of rice noodles that actually add up to as much or more than pad Thai. Same thing with Chow fun. In fact, when I looked, it looked like there’s a ton of Chow fun modifications and different kinds of things that go in there. The Pad Thai list is a little short. It’s like chicken, vegetable, shrimp, and beef. Pretty simplistic.
There’s also no analysis of the competition going on here. Pad Thai, yeah it’s popular, but it also has 50 recipe sites all bidding for it, tons of online grocers bidding for it, tons of recipes books that are bidding on that. I don’t know. Then it could be that Chow fun has almost no competition whatsoever. So you’re really not considering that when you look in here.
Finally, and this can be important too, these numbers can be off by up to 200% plus or minus this number. So if you were to actually bid on Chow fun, you might see that you get somewhere in the 22,000 impressions per month, assuming your ad consistently shows up on page one, but you could see as little as 11,000. I’ve seen as much as 44,000, like huge variations and swings in either direction and not always totally consistent between these. You want them to be, but they’re not always.
So because of that, we have to go deeper. These problems mean that we have to expend a little more energy. Not a ton. It doesn’t have to be massive, but probably a week or two of work at least to try and figure this out. But it’s so important I think it’s worth it every time.
First off, we’re going to conduct a broad keyword research dive into each one of these. Not as much as we would do if we knew, hey, Chow fun is the one we’re going to target. We’re going to go deep. We’re going to find every possible keyword. We’re going to do kind of what I call a broad dive, not a deep dive into each market. So I might want to go, hey, I’m going to look at the AdWords suggestions and tally those up. I’m going to look at search suggest and related searches for some of the queries that I get from AdWords, some of the top ones anyway, and I’m going to do a brief competitive analysis. Maybe I’ll put the domains that I’m seeing most frequently around these specific topics into SEMrush or another tool like that — SpyFu, Key Compete or whatever your preference might be — and see what other terms and phrases they might be ranking on.
So now I’ve got a reasonable set. It probably didn’t take me more than a few hours to put that together, if that. If I’ve got an efficient process for this already, maybe even less.
Now comes the tricky part. I want you to take a small sample set, and we’ve done this a few times. Random might be not the right word. It’s a small considered set of keywords and bid on them through AdWords. When I say “considered,” what I mean is a few from the long tail, a few from the chunky middle, and a few from the head of the demand curve that are getting lots and lots of searches. Now I want to point each of those to some new, high-quality pages on your site as a test.
So I might make maybe one, two, or three different landing pages for each of these different sets. One of them might be around noodles. One might be around recipes. One might be around history or uses in cuisine or whatever it is.
Then I am going to know from that exercise three critically important things. I’m going to know accuracy of AdWords volume estimates, which is awesome. Now I know whether these numbers mean anything or not, how far off they were or not. I could probably run for between 10 and 15 days and get a really good sense for the accuracy of AdWords. If you’re feeling like being very comprehensive, run for a full month, especially if you have the budget, because you can learn even more over time, and you’ll rule out any inconsistencies due to a particular spike, like maybe The New York Times recipe section features Chow fun that week and suddenly there’s a huge spike or whatever it is.
You can also learn relative price competition in click-through rate. This is awesome. This means that I know it costs a lot more per visitor that I’m trying to get on pad Thai. There are two really good things to know there. When a click costs more money, that also usually means there are more advertisers willing to pay for that traffic.
If you’re on the other side of that, where you think, “Hey, look, we’re not going to compete organically right now. We just don’t have the domain authority to do it. It’s going to take us a while,” then a high price is a bad thing. You want that cheaper traffic so you can start to build up that brand through paid as you’re growing the organic side. So it really depends on who you are and what situation you’re in.
Then finally you can figure out some things around click-through rate as well, which is great to know. So you can build some true model estimates and then go into your board meeting or your client pitch or whatever it is and say, “Hey, here are the numbers.”
Lastly, you’re going to learn the difficulty of content creation, like how hard was it for you to create these kinds of things. Like, “Wow, when we write about Chow fun, it’s just easy. It just rolls off. Pad Thai we have a really hard time creating unique value because everything has been done in that world. We’re just not as passionate about those noodles as we are about Chow fun.” Cool. Great, you know that.
Also, assuming your test includes this, which it doesn’t always have to, you can guess from sort of engagement rate, browse rate, time on site, all those kinds of things, but you can look at search conversion as well. So let’s say you have some action to complete on the page — subscribe to our email newsletter, sign up to get updates when we send them out about this recipe, or create an account so you can sign in and save this recipe. All that kind of stuff or a direct ecommerce conversion, you can learn that through your bidding test.
Awesome. That’s great. Now we really, really know something. Based on that, we can do a true analysis, an accurate analysis of the different groups based on:
Growth rate might be an interpreted thing, but you can look at the Google trends to kind of figure out over time whether a broad group of terms is getting more or less popular. You could use something like Mention.net or Fresh Web Explorer from Moz to look at mentions as well.
Now, you can be happy here. I might have chosen chow fun because I looked and I said, “Hey, you know what, it did not have the most volume overall, but it did have the lightest competition, the highest return on investment. We were great at creating the content. We were able to engage our visitors there, had lots of mid and long tail terms. We think it’s poised for big growth with the growth of Chinese noodles overall and the fact that the American food scene hasn’t really discovered Chow fun the way they have Vietnamese noodles and pad Thai. So that is where we’re placing our bet.”
Great. Now you have a real analysis. You have numbers behind it. You have estimates you can make. This process, although a little heavy, is going to get you so much further than this kind of simplistic thinking.
All right, everyone, I look forward to hearing from you about how you’ve done analyses like these in the past, and we’ll see you again next week for another edition of Whiteboard Friday. Take care.
Posted by AlexApptentive
This post was originally in YouMoz, and was promoted to the main blog because it provides great value and interest to our community. The author’s views are entirely his or her own and may not reflect the views of Moz, Inc.
After seeing Rand’s “Mad Science Experiments in SEO” presented at last year’s MozCon, I was inspired to put on the lab coat and goggles and do a few experiments of my own—not in SEO, but in SEO’s up-and-coming younger sister, ASO (app store optimization).
Working with Apptentive to guide enterprise apps and small startup apps alike to increase their discoverability in the app stores, I’ve learned a thing or two about app store optimization and what goes into an app’s ranking. It’s been my personal goal for some time now to pull back the curtains on Google and Apple. Yet, the deeper into the rabbit hole I go, the more untested assumptions I leave in my way.
Hence, I thought it was due time to put some longstanding hypotheses through the gauntlet.
As SEOs, we know how much of an impact a single ranking can mean on a SERP. One tiny rank up or down can make all the difference when it comes to your website’s traffic—and revenue.
In the world of apps, ranking is just as important when it comes to standing out in a sea of more than 1.3 million apps. Apptentive’s recent mobile consumer survey shed a little more light this claim, revealing that nearly half of all mobile app users identified browsing the app store charts and search results (the placement on either of which depends on rankings) as a preferred method for finding new apps in the app stores. Simply put, better rankings mean more downloads and easier discovery.
Like Google and Bing, the two leading app stores (the Apple App Store and Google Play) have a complex and highly guarded algorithms for determining rankings for both keyword-based app store searches and composite top charts.
Unlike SEO, however, very little research and theory has been conducted around what goes into these rankings.
Until now, that is.
Over the course of five studies analyzing various publicly available data points for a cross-section of the top 500 iOS (U.S. Apple App Store) and the top 500 Android (U.S. Google Play) apps, I’ll attempt to set the record straight with a little myth-busting around ASO. In the process, I hope to assess and quantify any perceived correlations between app store ranks, ranking volatility, and a few of the factors commonly thought of as influential to an app’s ranking.
Image credit: Josh Tuininga, Apptentive
Both the Apple App Store and Google Play have roughly 1.3 million apps each, and both stores feature a similar breakdown by app category. Apps ranking in the two stores should, theoretically, be on a fairly level playing field in terms of search volume and competition.
Of these apps, nearly two-thirds have not received a single rating and 99% are considered unprofitable. These studies, therefore, single out the rare exceptions to the rule—the top 500 ranked apps in each store.
While neither Apple nor Google have revealed specifics about how they calculate search rankings, it is generally accepted that both app store algorithms factor in:
I’ve simplified this formula to a function highlighting the four elements with sufficient data (or at least proxy data) for our analysis:
Ranking = fn(Rating, Rating Count, Installs, Trends)
Of course, right now, this generalized function doesn’t say much. Over the next five studies, however, we’ll revisit this function before ultimately attempting to compare the weights of each of these four variables on app store rankings.
(For the purpose of brevity, I’ll stop here with the assumptions, but I’ve gone into far greater depth into how I’ve reached these conclusions in a 55-page report on app store rankings.)
Now, for the Mad Science.
The first, and most straight forward of the five studies involves tracking daily movement in app store rankings across iOS and Android versions of the same apps to determine any trends of differences between ranking volatility in the two stores.
I went with a small sample of five apps for this study, the only criteria for which were that:
The apps I ultimately chose were Lyft, Venmo, Duolingo, Chase Mobile, and LinkedIn. These five apps represent the travel, finance, education banking, and social networking categories.
Going into this analysis, I predicted slightly more volatility in Apple App Store rankings, based on two statistics:
Both of these assumptions will be tested in later analysis.
Among these five apps, Google Play rankings were, indeed, significantly less volatile than App Store rankings. Among the 35 data points recorded, rankings within Google Play moved by as much as 23 positions/ranks per day while App Store rankings moved up to 89 positions/ranks. The standard deviation of ranking volatility in the App Store was, furthermore, 4.45 times greater than that of Google Play.
Of course, the same apps varied fairly dramatically in their rankings in the two app stores, so I then standardized the ranking volatility in terms of percent change to control for the effect of numeric rank on volatility. When cast in this light, App Store rankings changed by as much as 72% within a 24-hour period while Google Play rankings changed by no more than 9%.
Also of note, daily rankings tended to move in the same direction across the two app stores approximately two-thirds of the time, suggesting that the two stores, and their customers, may have more in common than we think.
Testing the assumption implicit in standardizing the data in study No. 1, this one was designed to see if app store ranking volatility is correlated with an app’s current rank. The sample for this study consisted of the top 500 ranked apps in both Google Play and the App Store, with special attention given to those on both ends of the spectrum (ranks 1–100 and 401–500).
I anticipated rankings to be more volatile the higher an app is ranked—meaning an app ranked No. 450 should be able to move more ranks in any given day than an app ranked No. 50. This hypothesis is based on the assumption that higher ranked apps have more installs, active users, and ratings, and that it would take a large margin to produce a noticeable shift in any of these factors.
One look at the chart above shows that apps in both stores have increasingly more volatile rankings (based on how many ranks they moved in the last 24 hours) the lower on the list they’re ranked.
This is particularly true when comparing either end of the spectrum—with a seemingly straight volatility line among Google Play’s Top 100 apps and very few blips within the App Store’s Top 100. Compare this section to the lower end, ranks 401–)500, where both stores experience much more turbulence in their rankings. Across the gamut, I found a 24% correlation between rank and ranking volatility in the Play Store and 28% correlation in the App Store.
To put this into perspective, the average app in Google Play’s 401–)500 ranks moved 12.1 ranks in the last 24 hours while the average app in the Top 100 moved a mere 1.4 ranks. For the App Store, these numbers were 64.28 and 11.26, making slightly lower-ranked apps more than five times as volatile as the highest ranked apps. (I say slightly as these “lower-ranked” apps are still ranked higher than 99.96% of all apps.)
The relationship between rank and volatility is pretty consistent across the App Store charts, while rank has a much greater impact on volatility at the lower end of Google Play charts (ranks 1-100 have a 35% correlation) than it does at the upper end (ranks 401-500 have a 1% correlation).
The next study looks at the relationship between rank and star ratings to determine any trends that set the top chart apps apart from the rest and explore any ties to app store ranking volatility.
Ranking = fn(Rating, Rating Count, Installs, Trends)
As discussed in the introduction, this study relates directly to one of the factors commonly accepted as influential to app store rankings: average rating.
Getting started, I hypothesized that higher ranks generally correspond to higher ratings, cementing the role of star ratings in the ranking algorithm.
As far as volatility goes, I did not anticipate average rating to play a role in app store ranking volatility, as I saw no reason for higher rated apps to be less volatile than lower rated apps, or vice versa. Instead, I believed volatility to be tied to rating volume (as we’ll explore in our last study).
The chart above plots the top 100 ranked apps in either store with their average rating (both historic and current, for App Store apps). If it looks a little chaotic, it’s just one indicator of the complexity of ranking algorithm in Google Play and the App Store.
If our hypothesis was correct, we’d see a downward trend in ratings. We’d expect to see the No. 1 ranked app with a significantly higher rating than the No. 100 ranked app. Yet, in neither store is this the case. Instead, we get a seemingly random plot with no obvious trends that jump off the chart.
A closer examination, in tandem with what we already know about the app stores, reveals two other interesting points:
Looking next at the relationship between ratings and app store ranking volatility reveals a -15% correlation that is consistent across both app stores; meaning the higher an app is rated, the less its rank it likely to move in a 24-hour period. The exception to this rule is the Apple App Store’s calculation of an app’s current rating, for which I did not find a statistically significant correlation.
This next study looks at the relationship between the age of an app’s current version, its rank and its ranking volatility.
Ranking = fn(Rating, Rating Count, Installs, Trends)
In alteration of the above function, I’m using the age of a current app’s version as a proxy (albeit not a very good one) for trends in app store ratings and app quality over time.
Making the assumptions that (a) apps that are updated more frequently are of higher quality and (b) each new update inspires a new wave of installs and ratings, I’m hypothesizing that the older the age of an app’s current version, the lower it will be ranked and the less volatile its rank will be.
The first and possibly most important finding is that apps across the top charts in both Google Play and the App Store are updated remarkably often as compared to the average app.
At the time of conducting the study, the current version of the average iOS app on the top chart was only 28 days old; the current version of the average Android app was 38 days old.
As hypothesized, the age of the current version is negatively correlated with the app’s rank, with a 13% correlation in Google Play and a 10% correlation in the App Store.
The next part of the study maps the age of the current app version to its app store ranking volatility, finding that recently updated Android apps have less volatile rankings (correlation: 8.7%) while recently updated iOS apps have more volatile rankings (correlation: -3%).
In the final study, I wanted to examine the role of an app’s popularity on its ranking. In an ideal world, popularity would be measured by an app’s monthly active users (MAUs), but since few mobile app developers have released this information, I’ve settled for two publicly available proxies: Rating Count and Installs.
Ranking = fn(Rating, Rating Count, Installs, Trends)
For the same reasons indicated in the second study, I anticipated that more popular apps (e.g., apps with more ratings and more installs) would be higher ranked and less volatile in rank. This, again, takes into consideration that it takes more of a shift to produce a noticeable impact in average rating or any of the other commonly accepted influencers of an app’s ranking.
The first finding leaps straight off of the chart above: Android apps have been rated more times than iOS apps, 15.8x more, in fact.
The average app in Google Play’s Top 100 had a whopping 3.1 million ratings while the average app in the Apple App Store’s Top 100 had 196,000 ratings. In contrast, apps in the 401–)500 ranks (still tremendously successful apps in the 99.96 percentile of all apps) tended to have between one-tenth (Android) and one-fifth (iOS) of the ratings count as that of those apps in the top 100 ranks.
Considering that almost two-thirds of apps don’t have a single rating, reaching rating counts this high is a huge feat, and a very strong indicator of the influence of rating count in the app store ranking algorithms.
To even out the playing field a bit and help us visualize any correlation between ratings and rankings (and to give more credit to the still-staggering 196k ratings for the average top ranked iOS app), I’ve applied a logarithmic scale to the chart above:
From this chart, we can see a correlation between ratings and rankings, such that apps with more ratings tend to rank higher. This equates to a 29% correlation in the App Store and a 40% correlation in Google Play.
Next up, I looked at how ratings count influenced app store ranking volatility, finding that apps with more ratings had less volatile rankings in the Apple App Store (correlation: 17%). No conclusive evidence was found within the Top 100 Google Play apps.
And last but not least, I looked at install counts as an additional proxy for MAUs. (Sadly, this is a statistic only listed in Google Play. so any resulting conclusions are applicable only to Android apps.)
Among the top 100 Android apps, this last study found that installs were heavily correlated with ranks (correlation: -35.5%), meaning that apps with more installs are likely to rank higher in Google Play. Android apps with more installs also tended to have less volatile app store rankings, with a correlation of -16.5%.
Unfortunately, these numbers are slightly skewed as Google Play only provides install counts in broad ranges (e.g., 500k–)1M). For each app, I took the low end of the range, meaning we can likely expect the correlation to be a little stronger since the low end was further away from the midpoint for apps with more installs.
To make a long post ever so slightly shorter, here are the nuts and bolts unearthed in these five mad science studies in app store optimization:
Revisiting our first (albeit oversimplified) guess at the app stores’ ranking algorithm gives us this loosely defined function:
Ranking = fn(Rating, Rating Count, Installs, Trends)
I’d now re-write the function into a formula by weighing each of these four factors, where a, b, c, & d are unknown multipliers, or weights:
Ranking = (Rating * a) + (Rating Count * b) + (Installs * c) + (Trends * d)
These five studies on ASO shed a little more light on these multipliers, showing Rating Count to have the strongest correlation with rank, followed closely by Installs, in either app store.
It’s with the other two factors—rating and trends—that the two stores show the greatest discrepancy. I’d hazard a guess to say that the App Store prioritizes growth trends over ratings, given the importance it places on an app’s current version and the wide distribution of ratings across the top charts. Google Play, on the other hand, seems to favor ratings, with an unwritten rule that apps just about have to have at least four stars to make the top 100 ranks.
Thus, we conclude our mad science with this final glimpse into what it takes to make the top charts in either store:
Rating Count > Installs > Trends > Rating
Rating Count > Installs > Rating > Trends
Again, we’re oversimplifying for the sake of keeping this post to a mere 3,000 words, but additional factors including keyword density and in-app engagement statistics continue to be strong indicators of ranks. They simply lie outside the scope of these studies.
I hope you found this deep-dive both helpful and interesting. Moving forward, I also hope to see ASOs conducting the same experiments that have brought SEO to the center stage, and encourage you to enhance or refute these findings with your own ASO mad science experiments.
Please share your thoughts in the comments below, and let’s deconstruct the ranking formula together, one experiment at a time.
Posted by randfish
Making changes to your brand is a huge step, and while it’s sometimes the best path forward, it isn’t one to be taken lightly. In today’s Whiteboard Friday, Rand offers some guidance to marketers who are wondering whether a rebrand/redirect is right for them, and also those who are considering consolidating multiple sites under a single brand.
Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. Today we’re going to chat a little bit about whether you should rebrand and consider redirecting your existing website or websites and whether you should potentially consolidate multiple websites and brands that you may be running.
So we’ve talked before about redirection moves best practices. We’ve also talked about the splitting of link equity and domain authority and those kinds of things. But one of the questions that people have is, “Gosh, you know I have a website today and given the moves that Google has been making, that the social media world has been making, that content marketing has been making, I’m wondering whether I should potentially rebrand my site.” Lots of people bought domains back in the day that were exact match domains or partial match domains or that they thought reflected a move of the web toward or away from less brand-centric stuff and toward more keyword matching, topic matching, intent matching kinds of things.
Maybe you’re reconsidering those moves and you want to know, “Hey, should I be thinking about making a change now?” That’s what I’m here to answer. So this question to rebrand or not to re, it is tough because you know that when you do that rebrand, you will almost certainly take a traffic hit, and SEO is one of the biggest places where people typically take that traffic hit.
Moz previously was at SEOmoz.org and moved to moz.com. We saw a dip in our traffic over about 3 to 4 months before it fully recovered, and I would say that dip was between 15% and 25% of our search traffic, depending on week to week. I’ll link to a list of metrics that I put on my personal blog, Moz.com/rand, so that you can check those out if you’d like to see them. But it was a short recovery time for us.
One of the questions that people always have is, “Well wait, did you lose rankings for SEO since SEO used to be in your domain name?” The answer is no. In fact, six months after the move, we were ranking higher for SEO related terms and phrases.
So let’s imagine that today you are running SciFiToysAndGames.com, which is right on the borderline. In my opinion, that’s right on the borderline of barely tolerable. Like it could be brandable, but it’s not great. I don’t love the “sci-fi” in here, partially because of how the Syfy channel, the entity that broadcasts stuff on television has chosen to delineate their spelling, sci-fi can be misinterpreted as to how it’s spelled. I don’t love having to have “and” in a domain name. This is long. All sorts of stuff.
Let’s say you also own StarToys.com, but you haven’t used it. Previously StarToys.com has been redirecting to SciFiToysAndGames.com, and you’re thinking, “Well, man, is it the right time to make this move? Should I make this change now? Should I wait for the future?”
Well, these are the questions that I would urge you to consider. How memorable and amplifiable is your current brand? That’s something that if you are recognizing like, “Hey I think our brand name, in fact, is holding us back in search results and social media amplification, press, in blog mentions, in journalist links and these kinds of things,” well, that’s something serious to think about. Word of mouth too.
So if you know that sometime in the next two, three, four, or five years you do want to move to StarToys, I would actually strongly urge you to do that right now, because the longer you wait, the longer it will take to build up the signals around the new domain and the more pain you’ll potentially incur by having to keep branding this and working on this old brand name. So I would strongly urge you, if you know you’re going to make the move eventually, make it today. Take the pain now, rather than more pain later.
I would urge you to find two different groups, one who are loyal customers today, people who know SciFiToysAndGames.com and have used it, and two, people who are potential customers, but aren’t yet familiar with it.
You don’t need to do big sample-sizes. If you can get 5, 10, or 15 people either in a room or talk to them in person, you can try some web surveys, you can try using some social media ads like things on Facebook. I’ve seen some companies do some testing around this. Even buying potential PPC ads and seeing how click-through rates perform and sentiment and those kinds of things, that is a great way to help validate your ideas, especially if you’re forced to bring data to a table by executives or other stakeholders.
The last thing I think about is imagine, and I want you to either imagine or even model this out, mathematically model it out. If your traffic growth rate — so let’s say you’re growing at 10% year-over-year right now — if that improved 1%, 5%, or 10% annually with a new brand name, would you make the move? So knowing that you might take a short-term hit, but then that your growth rate would be incrementally higher in years to come, how big would that growth rate need to be?
I would say that, in general, if I were thinking about these two domains, granted this is a hard case because you don’t know exactly how much more brandable or word-of-mouth-able or amplifiable your new one might be compared to your existing one. Well, gosh, my general thing here is if you think that’s going to be a substantive percentage, say 5% plus, almost always it’s worth it, because compound growth rate over a number of years will mean that you’re winning big time. Remember that that growth rate is different that raw growth. If you can incrementally increase your growth rate, you get tremendously more traffic when you look back two, three, four, or five years later.
I also made this domain name, brand name spectrum, because I wanted to try and visualize crappiness of domain name, brand name to really good domain name, brand name. I wanted to give some examples and then extract out some elements so that maybe you can start to build on these things thematically as you’re considering your own domains.
So from awful, we go to tolerable, good, and great. So Science-Fi-Toys.net is obviously terrible. I’ve taken a contraction of the name and the actual one. It’s got a .net. It’s using hyphens. It’s infinitely unmemorable up to what I think is tolerable — SciFiToysAndGames.com. It’s long. There are some questions about how type-in-able it is, how easy it is to type in. SciFiToys.com, which that’s pretty good. SciFiToys, relatively short, concise. It still has the “sci-fi” in there, but it’s a .com. We’re getting better. All the way up to, I really love the name, StarToys. I think it’s very brandable, very memorable. It’s concise. It’s easy to remember and type in. It has positive associations probably with most science fiction toy buyers who are familiar with at least “Star Wars” or “Star Trek.” It’s cool. It has some astronomy connotations too. Just a lot of good stuff going on with that domain name.
Then, another one, Region-Data-API.com. That sucks. NeighborhoodInfo.com. Okay, at least I know what it is. Neighborhood is a really hard name to type because it is very hard for many people to spell and remember. It’s long. I don’t totally love it. I don’t love the “info” connotation, which is generic-y.
DistrictData.com has a nice, alliterative ring to it. But maybe we could do even better and actually there is a company, WalkScore.com, which I think is wonderfully brandable and memorable and really describes what it is without being too in your face about the generic brand of we have regional data about places.
What if you’re doing mobile apps? BestAndroidApps.com. You might say, “Why is that in awful?” The answer is two things. One, it’s the length of the domain name and then the fact that you’re actually using someone else’s trademark in your name, which can be really risky. Especially if you start blowing up, getting big, Google might go and say, “Oh, do you have Android in your domain name? We’ll take that please. Thank you very much.”
BestApps.io, in the tech world, it’s very popular to use domains like .io or .ly. Unfortunately, I think once you venture outside of the high tech world, it’s really tough to get people to remember that that is a domain name. If you put up a billboard that says “BestApps.com,” a majority of people will go, “Oh, that’s a website.” But if you use .io, .ly, or one of the new domain names, .ninja, a lot of people won’t even know to connect that up with, “Oh, they mean an Internet website that I can type into my browser or look for.”
So we have to remember that we sometimes live in a bubble. Outside of that bubble are a lot of people who, if it’s not .com, questionable as to whether they’re even going to know what it is. Remember outside of the U.S., country code domain names work equally well — .co.uk, .ca, .co.za, wherever you are.
InstallThis.com. Now we’re getting better. Memorable, clear. Then all the way up to, I really like the name AppCritic.com. I have positive associations with like, “Oh year, restaurant critics, food critics, and movie critics, and this is an app critic. Great, that’s very cool.”
What are the things that are in here? Well, stuff at this end of the spectrum tends to be generic, forgettable, hard to type in. It’s long, brand-infringing, danger, danger, and sketchy sounding. It’s hard to quantify what sketchy sounding is, but you know it when you see it. When you’re reviewing domain names, you’re looking for links, you’re looking at things in the SERPs, you’re like, “Hmm, I don’t know about this one.” Having that sixth sense is something that we all develop over time, so sketchy sounding not quite as scientific as I might want for a description, but powerful.
On this end of the spectrum though, domain names and brand names tend to be unique, memorable, short. They use .com. Unfortunately, still the gold standard. Easy to type in, pronounceable. That’s a powerful thing too, especially because of word of mouth. We suffered with that for a long time with SEOmoz because many people saw it and thought, “Oh, ShowMoz, COMoz, SeeMoz.” It sucked. Have positive associations, like StarToys or WalkScore or AppCritic. They have these positive, pre-built-in associations psychologically that suggest something brandable.
Scenario B, and then we’ll get to the end, but scenario B is the question like, “Should I consolidate?” Let’s say I’m running both of these today. Or more realistic and many times I see people like this, you’re running AppCritic.com and StarToys.com, and you think, “Boy, these are pretty separate.” But then you keep finding overlap between them. Your content tends to overlap, the audience tends to overlap. I find this with many, many folks who run multiple domains.
So we’ve got to consider a few things. First off, that audience and content overlap. If you’ve got StarToys and AppCritic and the overlap is very thin, just that little, tiny piece in the middle there. The content doesn’t overlap much, the audience doesn’t overlap much. It probably doesn’t make that much sense.
But what if you’re finding like, “Gosh, man, we’re writing more and more about apps and tech and mobile and web stuff on StarToys, and we’re writing more and more about other kinds of geeky, fun things on AppCritic. Slowly it feels like these audiences are merging.” Well, now you might want to consider that consolidation.
Second point of consideration, the potential for separate exits or sales. So if you know that you’re going to sell AppCritic.com to someone in the future and you want to make sure that’s separate from StarToys, you should keep them separate. If you think to yourself, “Gosh, I’d never sell one without the other. They’re really part of the same company, brand, effort,” well, I’d really consider that consolidation.
Last point of positive consideration is dilution of marketing and branding efforts. Remember that you’re going to be working on marketing. You’re going to be working on branding. You’re going to be working on growing traffic to these. When you split your efforts, unless you have two relatively large, separate teams, this is very, very hard to do at the same rate that it could be done if you combined those efforts. So another big point of consideration. That compound growth rate that we talked about, that’s another big consideration with this.
What I don’t recommend you consider and what has been unfortunately considered, by a lot of folks in the SEO-centric world in the past, is topical focus of the content. I actually am crossing this out. Not a big consideration. You might say to yourself, “But Rand, we talked about previously on Whiteboard Friday how I can have topical authority around toys and games that are related to science fiction stuff, and I can have topical authority related to mobile apps.”
My answer is if the content overlap is strong and the audience overlap is strong, you can do both on one domain. You can see many, many examples of this across the web, Moz being a great example where we talk about startups and technology and sometimes venture capital and team building and broad marketing and paid search marketing and organic search marketing and just a ton of topics, but all serving the same audience and content. Because that overlap is strong, we can be an authority in all of these realms. Same goes for any time you’re considering these things.
All right everyone, hope you’ve enjoyed this edition of Whiteboard Friday. I look forward to some great comments, and we’ll see you again next week. take care.