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Weighting the Clusters of Ranking Factors in Google’s Algorithm – Whiteboard Friday

Posted by randfish

One thing we collect for our semiannual ranking factors survey is the opinions of a group of SEO experts (128 of them this year!) about the relative weights of the categories of ranking factors. In other words, how important each of those categories is for SEO relative to the others.

In today’s Whiteboard Friday, Rand explains some key takeaways from the results of that particular survey question. In addition, the pie chart below shows what the categories are and just where each of them ended up.

Whiteboard Friday – Weighting the Clusters of Ranking Factors in Google Analytics

For reference, here’s a still of this week’s whiteboard and a fancy version of the chart from this week’s video!

Weighting of Thematic Clusters of Ranking Factors in Google

larger version

Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week I’m going to talk a little bit about the ranking factors survey that we did this year and specifically some of the results from that.

One of my favorite questions that we ask in our ranking factors survey, which happens every two years and goes out to a number of SEO experts. This year, 128 SEO experts responded, sort of folks who were hand chosen by us as being very, very knowledgeable in the field. We asked them, based on these sort of thematic clusters of ranking elements, things like domain level link authority versus page level keyword agnostic features, weight them for us. You know, give a percentage that you would assign if you were giving an overall assessment of the importance of this factor in Google’s ranking algorithm.

So this is opinion data. This is not fact. This is not actually what Google’s using. This is merely the aggregated collective opinions of a lot of smart people who study this field pretty well. This week what I want to do is run through what these elements are, the scores that people gave them, and then some takeaways, and I even have an exercise for you all at home or at the office as the case may be.

So interestingly, the largest portion that was given credit by the SEOs who answered this question was domain-level link authority. This is sort of the classic thing we think of in the Moz scoring system as domain authority, DA. They said 20.94%, which is fairly substantive. It was the largest one.

Just underneath that, page-level link features, meaning external links, how many, how high-quality, where are they coming from, those kinds of things for ranking a specific page.

Then they went to page-level keyword and content features. This isn’t just raw keyword usage, keyword in the title tag, how many times you repeat on the page; this is also content features like if they think Google is using topic modeling algorithms or semantic analysis models, those types of things. That would also fit into here. That was given about 15%, 14.94%.

At 9.8%, then they all kind of get pretty small. Everything between here and here is between 5% and 10%. A bunch of features in there, like page-level keyword agnostic features. So this might be like how much content is in there, to what degree Google might be analyzing the quality of the content, are there images on the page, stuff like this. “How fast does the page load” could go in there.

Domain level brand features. Does this domain or the brand name associated with the website get mentioned a lot on the Internet? Does the domain itself get, for example, mentioned around the Web, lots of people writing about it and saying, “Moz.com, blah, blah, blah.”

User usage and traffic or query data. This one’s particularly fascinating, got an 8.06%, which is smaller but still sizeable. The interesting thing about this is I think this is something that’s been on the rise. In years past, it had always been under 5%. So it’s growing. This is things like: Are there lots of people visiting your website? Are people searching for your domain name, for your pages, for your brand name? How are people using the site? Do you have a high bounce rate or a lot of engagement on the site? All that kind of stuff.

Social metrics, Twitter, Facebook, Google+, etc., domain-level keyword usage, meaning things like if I’m trying to rank for blue shoes, do I have blue shoes in the domain name, like blueshoes.com or blue-shoes.com. This is one that’s been declining.

Then domain-level keyword agnostic features. This would be things like:
What’s the length of the domain name registration, or how long is the domain name? What’s the domain name extension? Other features like that, that aren’t related to the keywords, but are related to the domain.

So, from this picture I think there’s really some interesting takeaways, and I wanted to walk through a few of those that I’ve seen. Hopefully, it’s actually helpful to understand the thematic clusters themselves.

Number one: What we’re seeing year after year after year is complexity increasing. This picture has never gotten simpler any two years in a row that we’ve done this study. It’s never that one factor, you know, used to be smaller and now it’s kind of dominant and it’s just one thing. Years ago, I bet if we were to run this survey in 2001, it’d be like page rank, Pac-Man, everything else, little tiny chunk of Pac-Man’s mouth.

Number two: Links are still a big deal. Look here, right? I mean what we’re essentially seeing in this portion here is domain-level link authority and page-level link features, all of them. You could sort of think of this as maybe page authority being a proxy for this and domain authority being a proxy for this. That’s still a good 40% of how SEOs are perceiving Google’s algorithm. So links being a big important portion, but not the overwhelming portion.

It has almost always been the case in years past that the link features, when combined, were 50%. So we’re seeing that they’re a big deal both in the page and domain level, just not as big or as overwhelming as they used to be, and I think this is reflected in people’s attitudes towards link acquisition, which is, “Hey, that’s still a really important practice. That’s still something I’m looking forward to and trying to accomplish.”

Number three: Brand-related and brand-driven metrics are on the rise. Take a look. Domain level brand features and user usage or traffic query data, this is comprising a percentage that actually in sum exceeds page-level keyword content and features. This is really kind of the branding world happening right here. So if you’re not building a brand on the Web, that could be seriously hurting your SEO, maybe to the same degree that not doing on-page optimization is. Actually, that would be a conclusion that I personally would agree with as well.

Number four: Social is still perceived to have a minor impact despite some metrics to the contrary. So, social you can see up here at 7.24%, which is reasonably small. It’s the third-smallest factor that was on there. And yet, when we look at how do social metrics correlate with things that rank highly versus things that rank poorly, we’re seeing very high numbers, numbers that in many cases exceed or equal the link metrics that we look at. So here at Moz we kind of look at those and we go, “Well, obviously correlation does not imply causation.” It could be the case that there are other things Google’s measuring that just happen to perform well and happen to correlate quite nicely with social metrics, like +1s and shares and tweets and those kinds of things.

But certainly it’s surprising to us to see such a high correlation and such a low perception. My guess is, if I had to take a guess, what I’d say is that SEOs have a very hard time connecting these directly. Essentially, you go and you see a page that’s ranking number nine, and you think, “Hey, let me try to get a bunch of tweets and shares and +1s, and I’m going to acquire those in some fashion. Still ranking number nine. I don’t think social does all that much.” Versus, you go out and get links, and you can see the page kind of rising in the search results. You get good links from good places, from authoritative sites and many of them. Boom, boom, boom, boom. “I look like I’m rising; links are it.”

I think what might be being missed there is that the content of the page, the quality of the page and the quality of the domain and the brand and the amplification that it can achieve from social is an integral part. I don’t know exactly how Google’s measuring that, and I’m not going to speculate on what they are or aren’t doing. The only thing they’ve told us specifically is that we are not exclusively using just +1s precisely to increase rankings unless it’s personalized results, in which case maybe we are. To me, that kind of hyper specificity says there’s a bigger secret story hiding behind the more complex things that they are not saying they aren’t doing.

Number five, the last one: Keyword-based domain names, which I know have been kind of a darling of the SEO world (or historically a darling of the SEO world) and particularly of the affiliate marketing worlds for a long time, continue to shrink. You can see that in the correlation data. You can see it in the performance data. You can see it in the MozCast data set, which monitors sort of what appears in Google and doesn’t.

Our experience reinforces that. So remember Moz switched from the domain name SEOmoz, which had the keyword SEO right in there, to the Moz domain name not very long ago, and we did see kind of a rankings dive for a little while. Now almost all of those numbers are right back up where they were. So I think that’s (a) a successful domain shift, and I give huge credit to folks like Ruth Burr and Cyrus Shepard who worked so hard and so long on making that happen, Casey Henry too. But I think there’s also a story to be told there that having SEO in the domain name might not have been the source of as many rankings for SEO-related terms as we may have perceived it to be. I think that’s fascinating as well.

My recommendation, my suggestion to all of you, if you get the chance, try this. Go grab your SEO team or your SEO colleagues, buddies, friends in the field. Sit down in a room with a whiteboard or with some pen and paper. Don’t take a laptop in. Don’t use your phones. List out these features and go do this yourself. Go try making these percentages for what you think the algorithm actually looks like, what your team thinks the algorithm looks like, and then compare. What is it that’s the difference between kind of the aggregate of these numbers and the perception that you have personally or you have as a team?

I think that can be a wonderful exercise. It can really open up a great dialogue about why these things are happening. I think it’s some fun homework if you get a chance over the next week.

Until then, see you next week. Take care.

Video transcription by Speechpad.com


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Comparing Rank-Tracking Methods: Browser vs. Crawler vs. Webmaster Tools

Posted by Dr-Pete

Deep down, we all have the uncomfortable feeling that rank-tracking is unreliable at best, and possibly outright misleading. Then, we walk into our boss’s office, pick up the phone, or open our email, and hear the same question: “Why aren’t we #1 yet?!â€� Like it or not, rank-tracking is still a fact of life for most SEOs, and ranking will be a useful signal and diagnostic for when things go very wrong (or very right) for the foreseeable future.

Unfortunately, there are many ways to run a search, and once you factor in localization, personalization, data centers, data removal (such as [not provided]), and transparency (or the lack thereof), it’s hard to know how any keyword really ranks. This post is an attempt to compare four common rank-tracking methods:

  1. Browser – Personalized
  2. Browser – Incognito
  3. Crawler
  4. Google Webmaster Tools (GWT)
I’m going to do my best to keep this information unbiased and even academic in tone. Moz builds rank-tracking tools based in part on crawled data, so it would be a lie to say that we have no skin in the game. On the other hand, our main goal is to find and present the most reliable data for our customers. I will do my best to present the details of our methodology and data, and let you decide for yourselves.

Methodology

We started by collecting a set of 500 queries from Moz.com’s Google Webmaster Tools (GWT) data for the month of July 2013. We took the top 500 queries for that time period by impression count, which provided a decent range of rankings and click-through rates. We used GWT data because it’s the most constrained rank-tracking method on our list – in other words, we needed keywords that were likely to pop up on GWT when we did our final data collection.

On August 7th, we tracked these 500 queries using four methods:

(1) Browser – Personalized

This is the old-fashioned approach. I personally entered the queries on Google.com via the Chrome browser (v29) and logged into my own account.

(2) Browser – Incognito

Again, using Google.com on Chrome, I ran the queries manually. This time, though, I was fully logged out and used Chrome’s incognito mode. While this method isn’t perfect, it seems to remove many forms of personalization.

(3) Crawler

We modified part of the MozCast engine to crawl each of the 500 queries and parse the results. Crawls occurred across a range of IP addresses (and C-blocks), selected randomly. The crawler did not emulate cookies or any kind of login, and we added the personalization parameter (“&pws=0�) to remove other forms of personalization. The crawler also used the “&near=us� option to remove some forms of localization. We crawled up to five pages of Google results, which produced data for all but 12 of the 500 queries (since these were queries for which we knew Moz.com had recently ranked).

(4) Google Webmaster Tools

After Google made data available for August 7th, we exported average position data from GWT (via “Search Traffic� > “Search Queries�) for that day, filtering to just “Web� and “United States�, since those were the parameters of the other methods. While the other methods represent a single data point, GWT “Avg. position� theoretically represents multiple data points. Unfortunately, there is very little transparency about precisely how this data is measured.

Once the GWT data was exported and compared to the full list, there were 206 queries left with data from all four rank-tracking methods. All but a handful of the dropped keywords were due to missing data in GWT’s one-day report. Our analyses were conducted on this set of 206 queries with full data.

Results: Correlations

To compare the four ranking methods, we started with the pair-wise Spearman rank-order correlations (hat tip to my colleague, Dr. Matt Peters, for his assistance on this and the following analysis). All correlations were significant at the p<0.01* level, and r-values are shown in the table below:

*Given that the ranking methods are analogous to a repeated analysis of the same data set, we applied the Bonferroni correction to all p-values.

Interestingly, almost all of the methods showed very strong agreement, with Personalized vs. Incognito showing the most agreement (not surprisingly, as both are browser-based). Here’s a scatterplot of that data, plotted on log-log axes (done only for visualization’s sake, since the rankings were grouped pretty tightly at the upper spots):

Crawler vs. GWT had the lowest correlation, but it’s important to note that none of these differences were large enough to make a strong distinction between them. Here’s the scatterplot of that correlation, which is still very high/positive by most reasonable standards:

Since the GWT “Average� data is precise to one decimal point, there’s more variation in the Y-values, but the linear relationship remains very clear. Many of the keywords in this data set had #1 rankings in GWT, which certainly helped boost the correlations, but the differences in the methods appear to be surprisingly low.

If you’re new to correlation and r-values, check out my quick refresher: the correlation “mathographic”. The statement “p<0.01” means that there is less than a 1% probability that these r-values were the result of random chance. In other words, we can be 99% sure that there was some correlation in play (and it wasn’t zero). This doesn’t tell us how meaningful the correlation is. In this particular case, we’re just comparing sets of data to see how similar they are – we’re not making any statements about causation.

Results: Agreement

One problem with the pair-wise correlations is that we can only compare any one method to another. In addition, there’s a certain amount of dependence between the methods, so it’s hard to determine what a “strong� correlation is. During a smaller, pilot study, we decided that what we’re really interested in is how any given method compares to the totality of the other three methods. In other words, which method agrees or disagrees the most with the rest of the methods?

With the help of Dr. Peters, I created a metric of agreement (or, more accurately, disagreement). I’ll save the full details for Appendix A at the end of this article, but here’s a short version. Let’s say that the four methods return the following rankings (keeping in mind that GWT is an average):

  1. 2
  2. 1
  3. 1
  4. 2.8
Our disagreement metric produces the following values for each of the methods:
  1. 2.89
  2. 2.34
  3. 2.34
  4. 3.58
Since the two #1 rankings show the most agreement, methods (2) and (3) have the same score, with method (1) showing more disagreement and (4) showing the most disagreement. The greater the distance between the rankings, the higher the disagreement score, but any rankings that match will have the same score for any given keyword.

This yielded a disagreement score for each of the four methods for each of the 206 queries. We then took the mean disagreement score for each method, and got the following results:

  1. Personal = 1.12
  2. Incognito = 0.82
  3. Crawler = 0.98
  4. GWT = 1.26

GWT showed the highest average disagreement from the other methods, with incognito rankings coming in on the low end. On the surface, this suggests that, across the entire set of methods, GWT disagreed with the other three methods the most often.

Given that we’ve invented this disagreement metric, though, it’s important to ask if this difference is statistically significant. This data proved not to be normally distributed (a chunk of disagreement=0 data points skewed it to one side), so we decided our best bet for comparison was the non-parametric Mann-Whitney U Test.

Comparing the disagreement data for each pair of methods, the only difference that approached statistical significance was Incognito vs. GWT (p=0.022). Since I generally try to keep the bar high (p<0.01), I have to play by my own rules and say that the disagreement scores were too close to call. Our data cannot reliably tell the levels of disagreement apart at this point.

Results: Outliers

Even if the statistics told us that one method clearly disagreed more than the other methods, it still wouldn’t answer one very important question – which method is right? Is it possible, for example, that Google Webmaster Tools could disagree with all of the other methods, and still be the correct one? Yes, it’s within the realm of possibility.

No statistic will tell us which method is correct if we fundamentally distrust all of the methods (and I do, at least to a point), so our next best bet is to dig into some of the specific cases of disagreement and try to sort out what’s happening. Let’s look at a few cases of large-scale disagreement, trying not to bias toward any particular method.

Case 1 – Personalization Boost

Many of the cases where personalization disagreed are what you’d expect – Moz.com was boosted in my personalized results. For example, a search for “seo checklist� had Moz.com at #3 in my logged-in results, but #7 for both incognito and crawled, and an average of 6.7 for GWT (which is consistent with the #7 ballpark). Even by just clicking personalization off, Moz.com dropped to #4, and in a logged out browser a few days after the original data collection, it was at #5.

What’s fascinating to me is that personalization didn’t disagree even more often. Consider that all of these queries were searches that generated traffic for Moz.com and I’m on the site every day and very active in the SEO community. If personalization has the impact we seem to believe it has, I would theorize that personalized searches would disagree the most with other methods. It’s interesting that that wasn’t the case. While personalization can have a huge impact on some queries, the number of searches it affects still seems to be limited.

Case 2 – Personalization Penalty

In some cases, personalization actually produced lower rankings. For example, a search for “what is an analyst� showed Moz.com at the #12 position for both personalized and incognito searches. Meanwhile, crawled rankings put us at #3, and GWT’s average ranking was #5. Checking back (semi-manually), I now see us at #10 on personalized search and up to #2 for crawled rankings.

Why would this happen? Both searches (personalized vs. crawled) show a definition box for “analyst� at the top, which could indicate some kind of re-ranking in play, but the top 10 after that box differ by quite a bit. One would naturally assume that Moz.com would get a boost in any of my personalized searches, but that’s simply not the case. The situation is much more complex and real-time than we generally believe.

Case 3 – GWT (Ok, Google) Hates Us

Here’s one where GWT seems to be out of whack. In our one-day data collection, a search for “seo� showed Moz at #3 for personalized rankings and #4 for incognito and crawled. Meanwhile, GWT had us down in the #6 spot. It’s not a massive difference, but for such an important head keyword, it definitely could lead to some soul-searching.

As of this writing, I was showing Moz.com in the #4 spot, so I called in some help via social media. I asked people to do a logged-in (personalized) search for “seo� and report back where they found Moz.com. I removed data from non-US participants, which left 63 rankings (36 from Twitter, and 27 from Facebook). The reported rankings ranged from #3 to #8, with an average of 4.11. These rankings were reported from across the US, and only two participants reported rankings at #6 or below. Here’s the breakdown of the raw data:

You can see the clear bias toward the #4 position across the social data. You could argue that, since many of my friends are SEOs, we all have similarly biased rankings, but this quickly leads to speculation. Saying that GWT numbers don’t match because of personalization is a bit like saying that the universe must be made of dark matter just because the numbers don’t add up without it. In the end, that may be true, but we still need the evidence.

Face Validity

Ultimately, this is my concern – when GWT’s numbers disagree, we’re left with an argument that basically boils down to “Just trust us.� This is difficult for many SEOs, given what feels like a concerted effort by Google to remove critical data from our view. On the one hand, we know that personalization, localization, etc. can skew our individual viewpoints (and that browser-based rankings are unreliable). On the other hand, if 56 out of 63 people (89%) all see my site at #3 or #4 for a critical head term and Google says the “average� is #6, that’s a hard pill to swallow with no transparency around where Google’s number is coming from.

In measurement, we call this “face validity�. If something doesn’t look right on the surface, we generally want more proof to sort out why, and that’s usually a reasonable instinct. Ultimately, Google’s numbers may be correct – it’s hard to prove they’re not. The problem is that we know almost nothing about how they’re measured. How does Google count local and vertical results, for example? What/who are they averaging? Is this a sample, and if so, how big of a sample and how representative? Is data from [not provided] keywords included in the mix?

Without these answers, we tend to trust what we can see, and while we may be wrong, it’s hard to argue that we shouldn’t. What’s more, it’s nearly impossible to convince our clients and bosses to trust a number they can’t see, right or wrong.

Conclusions

The “good� news, if we’re being optimistic, is that the four methods we considered in this study (Personalized, Incognito, Crawler, and GWT) really didn’t differ that much from each other. They all have their potential faults, but in most cases they’ll give you an answer that’s in the ballpark of reality. If you focus on relative change over time and not absolute numbers, then all four methods have some value, as long as you’re consistent.

Over time, this situation may change. Even now, none of these methods measure anything beyond core organic ranking. They don’t incorporate local results, they don’t indicate if there are prominent SERP features (like Answer Boxes or Knowledge Graph entries), they don’t tell us anything about click-through or traffic, and they all suffer from the little white lie of assumed linearity. In other words, we draw #1 – #10, etc. on a straight line, even though we know that click-through and impact drop dramatically after the first couple of ranking positions.

In the end, we need to broaden our view of rankings and visibility, regardless of which measurement method we use, and we need to keep our eyes open. In the meantime, the method itself probably isn’t critically important for most keywords, as long as we’re consistent and transparent about the limitations. When in doubt, consider getting data from multiple sources, and don’t put too much faith in any one number.

Appendix A: Measuring Disagreement

During a pilot study, we realized that, in addition to pair-wise comparisons of any two methods, what we really wanted to know was how any one method compared to the rest of the methods. In other words, which methods agreed (or disagreed) the most with the set of methods as a whole? We invented a fairly simple metric based on the sum of the differences between each of the methods. Let’s take the example from the post – here, the four methods returned the following rankings (for Keyword X):

  1. 2
  2. 1
  3. 1
  4. 2.8
We wanted to reward methods (2) and (3) for being the most similar (it doesn’t matter that they showed Keyword X in the #1 position, just that they agreed), and slightly penalize (1) and (4) for mismatching. After testing a few options, we settled (I say “we”, but I take full blame for this particular nonsense) on calculating the sum of the square roots of the absolute differences between each method and the other three methods.

That sounds a lot more complicated than it actually is. Let’s calculate the disagreement score for method 1, which we’ll call “M1” (likewise, we’ll call the other methods M2, M3, and M4). I call it a “disagreement” score because larger values ended up representing lower agreement. For M1 for Keyword X, the disagreement score is calculated by:

sqrt(abs(M1-M2)) + sqrt(abs(M1-M3)) + sqrt(abs(M1-M4))

The absolute value is used because we don’t care about the direction of the difference, and the square root is essentially a dampening function. I didn’t want outliers to be overemphasized, or one bad data point for one method could potentially skew the results. For Method 1 (M1), then, the disagreement value is:

sqrt(abs(2-1)) + sqrt(abs(2-1)) + sqrt(abs(2-2.8))

…which works out to 2.89. Here are the values for all four methods:

  1. 2.89
  2. 2.34
  3. 2.34
  4. 3.58
Let’s look at a couple of more examples, just so that you don’t have to take my word for how this works. In this second case, two methods still agree, but the ranking positions are “lower” (which equates to larger numbers), as follows:
  1. 12
  2. 12
  3. 3
  4. 5
The disagreement metric yields the following values:
  1. 5.65
  2. 5.65
  3. 7.41
  4. 6.71
M1 and M2 are in agreement, so they have the same disagreement value, but all four values are elevated a bit to show that the overall distance across the four methods is fairly large. Finally, here’s an example where two methods each agree with one other method:
  1. 2
  2. 2
  3. 5
  4. 5
In this case, all four methods have the same disagreement score:
  1. 3.46
  2. 3.46
  3. 3.46
  4. 3.46
Again, we don’t care very much that two methods ranked Keyword X at #2 and two at #5 – we only care that each method agreed with one other method. So, in this case, all four methods are equally in agreement, when you consider the entire set of rank-tracking methods. If the difference between the two pairs of methods was larger, the disagreement score would increase, but all four methods would still share that score.

Finally, for each method, we took the mean disagreement score across the 206 keywords with full ranking data. This yielded a disagreement measurement for each method. Again, these measurements turned out not to differ by a statistically significant margin, but I’ve presented the details here for transparency and, hopefully, for refinement and replication by other people down the road.


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Why Local Businesses Don’t Need Big Budgets for Their Content Marketing

Posted by MatthewBarby

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.

Time and again we hear the same old argument that we shouldn’t be building links, but that we should be focusing on developing exciting and unique content that encourages organic linking all by itself. I completely agree with this statement, but I see businesses misinterpret this far too often.

If you run a local business and have a relatively small budget for your online marketing, is spending that money on a flashy infographic going to be the best use of your resources? More often than not, it isn’t.

Big brands vs. local businesses

The marketing goals for local business and multinational brands are often quite similar in basic principle—they want to establish their brand name as a leader within their field and the geographic areas that they serve. The big difference here is that a local business is looking for large levels of brand exposure to their customers on a micro-level (i.e. they want to reach their customers within the local area that they serve). Major brands also want maximum brand exposure to their customers but on a macro level—they want to be recognised the world over, and to do this they need to spend big on reaching everyone.

This is where the content of these two types of businesses becomes different.

Content is EVERYTHING

When we think of “content,” we typically think of articles, webpage text, and imagery. This is one of the greatest reasons for failure within content marketing campaigns. Having a very linear and restricted view of what content is will only restrict and inhibit results.

  • Content is the staff within your business.
  • Content is the design of your shop/office.
  • Content is your products and services.
  • Content is the menus on your tables.
  • Content is your company values.
  • Content is your customers.
  • Content is EVERYTHING.

Let me elaborate a little on the points I’ve made above. Let’s take the example of a local coffee shop (you can take a look at the discussion I had on inbound.org about this as well).

Turning your staff into content

Most local businesses are heavily focused around delivering a high level of customer service to gain positive feedback for their business. Herein lies an amazing opportunity for content that will boost the awareness and reach of your brand.

Within a coffee shop business, the staff are just as important as the food/drink itself. In some cases they are more important. If you have built in strong customer service that sets you apart from your competitors then, believe it or not, people will talk about you. Considering the work that goes into building local citations and reviews for SEO, utilising your staff to encourage these makes sense.

Getting creative with your staff

source: http://www.flickr.com/photos/hootersgirls/7735589086/in/set-72157630960120760

For years, major international brands have been looking at ways to differentiate themselves from their competitors. Just look at the likes of Hooters; everyone knows about them because of their staff and the outfits that they wear. One simple thing that has got them where they are today, and that has become one of the most iconic pieces of content within the restaurant industry is the Hooters uniform.

I’m not saying that you should start making all your staff wear hot-pants and revealing tops—as fun as that might sound, but what I’m saying is that you can give your staff a unique edge that makes them a piece of creative content. For example, I visited a coffee shop a few weeks back and some of the staff had aprons on with a big QR code on the front that said “zap me for a 10% discount.” When you scanned the QR code you had to like their Facebook page and the member of staff would give you a discount there and then… awesome!

Turning your shop/office into content

Like with your staff, your business premises can become an awesome content example. With the example of a local coffee shop, it’s easy to get creative on a small budget to gain attention—create a unique style and do something different. Also, make it easier to tie in your offline presence with your online presence. For example, you could have your Twitter handle stenciled onto the wall. If you want to get really creative then you could have a chalkboard where you write out your recent tweets as they happen in chalk—this would certainly engage your customers within the shop and I can guarantee it would get people talking about you.

Design your space to be unique and it could become one of the best evergreen content assets that your business could have. The above photo is one that I took whilst visiting the Shakespeare and Company vintage bookstore in Paris. I read somewhere that this is one of the most photographed bookstores in the world – you will see why when you step inside!

Photo: by http://www.camenzindevolution.com at http://mz.cm/17CDwr4
(used with the copyright holder’s permission)

This is just what many major international brands do—the above image is from the Google Tel Aviv office, and yes, that’s a slide! I remember when I visited the Burberry offices in London a couple of years ago and they had a catwalk in the lobby area with models walking down it all day—that certainly got me talking. These ideas are completely relevant and applicable to local businesses, and they don’t necessarily need to involve huge slides or catwalks!

Your products are content

The products and services that you offer can both be used within other content or as creative content in their own right. You don’t need to have the most unique product in the world, and sometimes this isn’t actually possible within standardised product industries. Let’s look at a coffee shop, for example.

We might say that our coffee shop sells a range of different coffees, some sandwiches and a selection of cakes/pastries. The first thing you would think of to make them stand out from the competition is quality. The only problem here is that it’s hard to show the quality of these products to someone who hasn’t actually tasted them; plus, when all of your competitors claim to have the “best quality products,” it can be hard to stand out. With this in mind, why not try something a little different…

source: http://www.flickr.com/photos/krobison/3346410954/

I know, pretty awesome isn’t it? Apparently “latte art” is pretty popular, and to be honest, if that was served in front of me, the first thing that I’d do would be to take a picture and share it on Facebook/Twitter.

source: http://www.flickr.com/photos/jamieanne/3991004528/

Seasonal product themes can be another fantastic way to augment your current product offering and turn it into creative content. At the local coffee shop that I go to, they create crazy cupcake variations on Halloween and decorate the whole shop. That’s just asking to be talked about on social media and can result in some tasty links as a byproduct.

Your product/service collateral can be content

I’m guessing that you can see where I’m starting to go with this idea that anything can be content, no matter how boring it is. Let’s take some food and drink menus as an example. In its purest form, a menu should deliver the goal of displaying what your business has to offer to your customers. Now, when we bear in mind that over 90% of the customers in a coffee shop are going to take a look at this menu, there is a huge opportunity to get creative.

The above video shows how the Global Mundo Tapas restaurant in the North Sydney Rydges Hotel has replaced all of its menus in favour of actual iPads. The customer can view the whole menu, get more information on each of the different dishes and they can actually place their order live on the tablet. There could be huge potential for linking this in with social media and really connecting the link between online and offline interactions with customers.

Another great example is from Duo restaurant in New York. Their menus actually light up when you open them, which makes them look pretty awesome. Again, this has resulted in the restaurant being mentioned on several niche-relevant blogs that will boost their rankings and give them a wider reach for their brand (it made me notice them, and I’m on the other side of the world!).

The branding of your business is content

The values, culture and vision of your company says a lot about your brand. Multinational brands use their slogans as one of their most valued content assets. If I mentioned “Just Do It” or “They’re Gr-r-r-eat!” then you would know exactly which companies/products I’m talking about—this can be the same for local businesses, but on a different scale.

One hilarious example of some amazing branding was from a local sofa company near the place where I grew up, called “Sofa King.” They drove around in these big white vans every day that had “Our prices are Sofa King Low!” written on them. They got loads of press coverage from this because they were told they had to remove them and actually got a mention on the TV as well. This may not be the most transferable example but I love telling this story to people because it’s just so funny!

Another great way that a lot of cafes and restaurants can use their company values to build content is by partnering up with higher welfare suppliers and institutions. If we look at the likes of the Rainforest Alliance, an international charity focused around conserving biodiversity and improving the working conditions of third-world suppliers. They actually offer a way to certify your business as being Rainforest Alliance approved. This can then be used to build some positive PR around the business, especially within local publications.

Your customers are content

Yes, that’s right… your customers are content too. If you run a local business then you’re likely to be customer-facing a lot of the time—why not take advantage of that?

I worked on a recent campaign with a UK restaurant chain where we ran a competition to eat free for a year at the restaurant. All you had to do to enter was like the Facebook page, send a tweet (that we had pre-defined) and also give some feedback on their experience at the restaurant. We ended up with over 10,000 entries into the competition and the Twitter account was going crazy for weeks. We ended up driving back some good quality links to the website in the process by running an effective link prospecting campaign alongside this, but more importantly we grew the social following dramatically and had loads of people talking about the brand.

Another tactic that I’ve used in the past, and a tactic that could be used within the coffee shop example, is to bring in a group of bloggers and let them eat for free in exchange for writing up a blog on their experience. It’s important to keep things impartial here, but getting a write up from a respected blogger can do wonders for your brand and will be an awesome link back to your website—it doesn’t cost a lot either.

Content is EVERYTHING

As you’ve probably now realised, content doesn’t just mean blog articles or infographics. Content can come in the shape of all sorts of things, both online and offline. The important thing is to understand the end goal of your content marketing strategy and how this then ties in with your social media and SEO campaigns.

When run on their own, content marketing, SEO and social media can be very expensive for local businesses, but when you integrate these together and take full advantage of the resources at your disposal, it will be both cost effective and bring in far greater results.

This doesn’t need to apply to just local businesses either. A perfect example of this is with the post that I wrote for Moz a short while ago that was a case study on the link building campaign that I carried out for my travel blog. Case studies are a fantastic way to squeeze out more links to your website and can be awesome pieces of content that can apply to blogs, major brands and small businesses alike.

A few actionable content ideas for local businesses

Your staff:

  • Have your staff wearing unique uniforms that will get people talking about your brand.
  • Encourage your staff to interact through social media with customers.
  • Record videos of your staff at work that shows off their expertise (this could be a tutorial video on “how to bake the perfect cupcake,” or “how to spray your car bumper”). It doesn’t have to be amazing production work; an iPhone will often do the job here.
  • Leverage your highly skilled staff within the business to become well-known figures within their niche. This can be through holding small meetups with the local community, through answering questions within niche-relevant forums/social media groups or putting together weekly recipe cards.
  • Run themed events on-site and have your staff live tweet with updates throughout.
  • Encourage creativity from you staff and create a working environment that promotes spontaneity—take a look at this article to see what I mean.
  • Have your staff speak at local events.

Your premises:

  • Create a funky design to your office/shop that is going to invoke conversation.
  • “Socialise” your shop front by including your social media accounts within the décor. For example, having your Twitter handle stenciled on the wall.
  • Offer free WiFi to customers on the condition that they “like” your Facebook page.
  • Go old school and have a chalkboard Twitter feed that your staff will write updates on by hand throughout the day.
  • Have a live feed of the shop/office running all day on your website.
  • Run themed nights where you decorate the whole place up in a unique style. Make sure you take loads of photos and share them across your FB/Twitter/Instagram/Pinterest.

Your products:

  • Offer discounts on your products when a customer shares them via social media.
  • Differentiate them in a way that will invoke an emotional response from your customers; for example, latte art.
  • Create seasonal product range themes that will get mentioned.
  • Send out free samples of your products for review to bloggers.
  • Run small focus groups to get feedback on your products/services. Record the whole focus group and post the video through your YouTube channel. Even better, run a live Google Hangout focus group and do the whole thing online.
  • Run some promotional coupons and submit them to coupon/discount offers directories.
  • Run product giveaway competitions that require social engagement to enter. You can also do these to gain feedback on products and then share your results within a short blog.

Product/service collateral:

  • Spice up your menus and include social media links within each of them.
  • Add QR codes to the bottom of your till receipts.
  • Create 101 guides and eBooks that are related to your niche.
  • Your Branding, Values and Culture:
  • Do something controversial. It doesn’t work for everyone but it can be one of the quickest ways to get your brand out there.
  • Partner with local charities and schemes.
  • Sponsor local events.
  • Create a unique and recognisable slogan for your business.
  • Create mascots for your business and give them a full back-story. You can even go to the length of giving them a social media account and start tweeting as them. Look at Roger Mozbot as an example.

Your customers:

  • Run surveys and polls with your customers and publish the results on your website and social media accounts.
  • Encourage customers to engage with your brand on social media whilst they’re with you for an incentive.
  • Run weekly giveaway competitions on Facebook that involve your customers having to tag a friend in the comments of the post and sharing it to their friends. When they receive their free product/service—get a photo of them and post it across your social media page.
  • Have a ‘customer of the week’ that you single out and give a freebie to or record a special thank-you video for their custom.
  • Invite a group of bloggers into the shop for some free product testing and ask them to blog about their experiences.
  • Run a weekly/bi-weekly/monthly live Google Hangout with some of your loyal customers (you may have to incentivise them) to get feedback on their experiences and post it to your YouTube channel.

Some comments from our Inbound.org discussion

Victor Pan:

Content for content’s sake doesn’t work. ‘Doing’ SEO without knowing what you’re doing doesn’t work. However, both methods work when executed correctly. It’s not whether or not it is done, but rather how it is done.
Time is scarce for small businesses. They don’t have time to learn the ‘how’ and execute it correctly on their first try. All too often, they visit the wrong neighbourhood on the web and do what they’ve learned… or hire the wrong people.
Bad blogging (scraping/plagiarism/panda) can get you penalized just as well as bad links (irrelevant neighbourhoods/fishy anchor text/penguin) – so I wouldn’t be so quick to say one is better than the other, or that you need both.
Have you run into a business that has gone through the hands of a rogue SEO who did low quality content spun from a competitor and a list of comment links from forums? I have. It’s not pretty.
If I had to choose, I’d say it’s easier for small businesses to be smart about content generation. SEO? That’s not part of their core business – it’s inefficient for them to learn it beyond the absolute fundamentals.

Martin Harris:

Whilst the above analogies are great, i think the point here is how to get the best out the client’s time. Ultimately it’s what going to be getting them more traffic and if (like most of my clients) you pay an hourly rate; 3-4 hours a month of SEO specific time, content marketing, won’t cut it.
But here lies the problem; they should be treated as separate entities.
Put it this way: would creating great promotional and traffic relevant content on social media drive more traffic or would ranking for a targeted niche relevant term?
It’s both.
For small businesses, getting natural links from content marketing should be a by-product not a SEO strategy.

Slava Rybalka:

1) as for me, content marketing involves both, and first of all, it’s like you said, being creative and notice what is going on in your daily business operations and what you can turn into content
2) I have seen the same effect, however, I tend to focus more on content rather than links, because: 1. Links tend to disappear over time, whereas your contents stays on your site, you don’t have control over your links but you have control over your content 2.if you have content that resonates with you target audience, great links will come naturally and recently we have seen the cases when few links can make a difference in search results, since Google is focusing more on quality of links. There are other things that come to my mind but these are 2 main points.

View the full discussion here: http://www.inbound.org/articles/view/content-marketing-the-ultimate-seo-office-discussion

TL;DR

  • Leveraging the assets of your business through content marketing, and tying this in with your SEO and social media campaign can yield awesome business results.
  • Big brand content strategies have similar goals to local businesses but they differ completely in execution.
  • Get all your staff to wear Hooters outfits to work, jazz up the morning coffees with some latte art and install a slide into your office.

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17 Tactics for More Twitter Followers (And Two New Followerwonk Features to Help!)

Posted by petebray

Let’s talk turkey! And by “turkey” I mean “followers.” And by “talk” I mean “get more!”

To start, put aside those quaint olden-times notions that seeking more followers is unsavory. Heck, even Twitter promotes their tools as means to quickly get more:

Of course, the early days of Twitter were very different than today. Back then, there were all sorts of spammy ways to get followers. Perhaps it is the hangover from those days that makes people queasy when thinking of “techniques” to get followers.

Nowadays, though, Twitter has clamped down hard. Spammy techniques will get you banished quickly. And most of those old grey-hat methods don’t even work: Twitter has radically limited how many people you can follow, as well as how many you can follow each hour.

You might ask, why do I want more followers anyway? Twitter does little for SEO (at least not directly). And followers are just chaff that don’t listen to me anyway (maybe so).

Well, I don’t want to get into a whole sales pitch for social media generally, but a few points stand out:

  • Twitter is a lightweight, frictionless, and serendipitous way to engage customers. It doesn’t require an email blast or the customer actively visiting your site. Once they follow you, they’ll encounter you on their timeline during the normal course of their social experience. The little pings and pops you’ll have with them accrue tremendous value.
  • Your follower count is a good measure of your influence, and other people see it as such. The more followers you have, the more you’ll attract, and the more you can use your influence to drive customers, conversations, and engagement.
  • The more you are followed, the more likely you will appear in the “Who to follow” Twitter promotion on the left hand side of Twitter.com.

With those in mind, let’s dive into the tactics. I also want to use this tips-and-tricks excursion to highlight two awesome new Followerwonk features.

Tactic 1: Tweet when your followers are online

Followerwonk’s analysis feature helps you do exactly this. You can quickly see when your friends (people you follow) or your followers are online.

Our integration with Buffer really streamlines the process to queue tweets when your followers are fully engaged.

A new chart we’ve added helps you even more:

Here, we highlight when my followers are most active (top chart) with when I’m tweeting (bottom chart). (Sigh, as you can see, I do a terrible job of matching my tweets to my followers.) Do this every week or so, and try to adjust your tweeting so the two charts closely match.

Tactic 2: Initiate conversations

If you go to Followerwonk right now, you can search for key terms in your industry or do a comparison of competitors’ followers. Take a look at the resulting users, then sort them by Social Authority. Find those that have the highest @response rate and engage with them!

But you can take it one step further with our new filter feature:

Yep, now Pro users can quickly filter any list of users by their relationships with those people. You’ll be able to quickly find:

  • Those people who are following you but whom you’re not following back
  • Those people whom you follow but who don’t follow you back
  • Those with whom you have a reciprocal relationship (you follow each other)
  • Those with whom you have no relationship

This way, you can quickly search for any term in your industry and surface a list of users with different types of relationships.

This is helpful when considering the type of engagement to initiate. If they follow you (and you don’t follow them), well, you can more personably address them? No relationship? Then perhaps a responsible @reply to one of their queries? In short, take advantage of the relationships you have right now. And carefully build new conversations with those you don’t.

After all, the more back-and-forth engagement you have with superstars (or even semi-superstars) in your industry, the more you’ll get others in the field to follow you.

Tactic 3: Use content as incentive

Of course it’s not always easy to get others’ attention. But if you produce good content, you can use that as a way to start conversations with experts on Twitter.

In any blog post, for example, you can directly include significant users’ tweets (or quotes or blog elements). Reach out to each of them on Twitter. Invite their comments, or solicit retweets. Did they respond or retweet? Great! Include them again in another blog post in a few weeks and repeat.

Tactic 4: Continue the conversation

Don’t just reply and let that end. Keep the conversation going as much as possible, particularly with positive customers. Close with a question. And with a positive response, reinforce that behavior with a retweet.

You want your Twitter handle in circulation as much as possible. The more others are talking about you, the more likely their friends will take a peek at what you’re about. Here’s a great example from @windows in an otherwise humdrum tech support back-and-forth:

@petebray Thanks for the kudos, Peter! The ability to edit PDF’s has been a major hit. Have you already edited your first PDF?
— Office (@Office) August 23, 2013

And, you know what, it worked. Here’s my response.

@Office yep, I sure have. Question: is there a way 2 turn off the status bar at bottom of Outlook? It’s such a vibrant blue it’s distracting
— peter bray (@petebray) August 23, 2013

They succeeded in prompting me to continue the conversation, ricocheting their name and message around my network.

Tactic 5: Have many more followers than friends

For many, a sure sign of a spam or an otherwise suspect account are those who have a large number of followers and a large number of friends. It suggests the person’s followers are largely a result of following in anticipation of a followback.

But it’s more than that. Even if you have only 100 followers, if you only follow 10, that ratio suggests you’re more compelling than those with an equal number. So, always keep an eye on your ratio. It has practical benefits, too: You won’t be able to follow over 2,000 people (not that you ever want to approach that many) unless you have a very healthy ratio.

Tactic 6: Make your profile and recent tweets compelling

Look carefully at how you will appear to most people on Twitter. They may see you @mentioned or RTed by others. And they may wonder who you are. So they’ll click on your name and see this little preview. (Note that on mobile the profile they’ll see is even more scant.)

Everyone who previews you will see your four most recent tweets. Remember, @mention tweets (those where you are engaging with others) are of little value except to those with whom you’re engaging. As such, try not to exceed a string of four @mention tweets in a row. You always want a non-@mention tweet with unique, compelling content to serve as a follow-attractant to those previewing your profile.

Note, too, the value of having a lot of relationships. The more you have, the more likely you will have implicit “recommendations” when someone views your profile.

Tactic 7: Every tweet has a larger audience than you think (so fill in the gaps)

Engaging with others is a vital part of Twitter (duh). But @mentions are roadblocks to anyone viewing your profile (except the person at the other end of the mention). For third party viewers, it can be like listening to one half of a phone conversation. So, from time to time, provide strategic retweets of the person you’re engaging with as a means to provide narrative for third-parties.

Tactic 8: Track your churn

Did you know that in Followerwonk we track every person that unfollows you? Yep, we do (Pro only).

Look carefully at who you’re losing. Sort the list of unfollowers by influence and follower count. Are you losing any big names? On what day? Go and look at that day and see what you did that might have driven them away.

Tactic 9: Don’t blindly follow back

Remember, you want a compelling follower to friend ratio. Your default should be not to return follow, except for those whose content you’re truly interested in. These new followers are “in the bag” and there’s no value, from a follower growth perspective, in reciprocating.

Tactic 10: Prune, prune, prune

On a similar note, get rid of the dead weight that you’re probably already following right now.

Do an analysis of your account. Scroll down and find the list of “recencies of tweets” of your followers and the people you’re following. Ask yourself, “why am I still following people who haven’t tweeted in 2 years?” Unfollow them. What about those tweeting in a language you don’t speak? Unfollow. Or what about those who themselves are following 1000s of people? Do you think they’re really reading your tweets? Consider them, too, as good unfollow candidates.

Go to the “Sort” page where you can view all your followers. Use the awesome new filters to view those users you follow but who don’t follow you back. Are those one-directional relationships worth it? If not, unfollow them.

Tactic 11: Follow with a purpose

You want to be part of a bright constellation of like-minded people in your industry, not part of a mishmash nebula. Why? Because Twitter’s sidebar recommendations for who to follow are very much based on groupings of interconnected people. As such, your follows should be both strategic and designed to elicit follow backs.

So, go to Followerwonk. Search for your industry. Compare your competitors, and sort by influence. Don’t follow those with only a handful of friends (and who have many thousands of followers). Look for those with a relatively equal number of friends and followers. This suggests they’ll likely follow you back.

Also, look for those with high engagement rates. Check their tweets. Look good? Follow them.

Tactic 12: Super-engage those super-important

Remember, most engagements with others are recorded on those users’ Twitter timelines, and those timelines (for many of us) are checked religiously.

So, for those folks with whom you really, really want a relationship, don’t just @mention them. Go the whole nine yards. Follow them, RT one of their tweets, favorite one, and @mention them. It’s exuberant engagement like this that gets noticed, and stands a better chance of getting you on their radar. (Of course, if you get no response, don’t keep pestering.)

Tactic 13: Track your follow success

Just as you can track your unfollows in Followerwonk, you can also track everyone you follow (and whether they follow you back). This is great stuff.

Follow a bunch of people. Two weeks later, look at those follows in Followerwonk. How many now return follow?

What I suggest is setting up a series of experiments. One week, focus on following people you find by comparing competitors. Another week, focus on following people by analyzing a competitor’s profile. Does one outperform the other in terms of follow backs? (If so, repeat that one!)

(We’ll have more tools in Followerwonk soon to help you better track performance like this. Stay tuned.)

Tactic 14: Engage un-reciprocating friends in a timely fashion

So what to do about those you’ve followed who don’t return follow? Consider a targeted engagement. Take a careful look at their use of Twitter.

Note, in this new Followerwonk chart in our Analyze feature, how, for any user, you can quickly assess when that user is tweeting.

Not only that, but we also highlight the types of tweets they’re making at certain hours. Perhaps during the early morning, for example, they’re doing most of their @mentions (a great time to reach them, then); while the afternoons are dedicated to retweets.

You can use this data to help plan a campaign around especially important Twitter users, but it’s also very helpful for non-VIPs.

Tactic 15: Carefully purge

Look, it’s a messy subject: the idea of following someone and then unfollowing them later. And by no means do I propose that as your bread and butter.

But the simple fact is humans live on reciprocal relationships. I extend my hand, you extend yours… or else I’m gonna retract mine!

As such, there’s nothing wrong with prudent unfollowing of those who don’t reciprocate your follow. But give them time, and use Followerwonk to help understand the full history of your relationship with them before you walk away.

Tactic 16: Tweet frequently, but not too frequently

Make a concerted effort to generate new, unique, and compelling content on a daily basis. Don’t just sit and respond, but actively create content. There are plenty of great Chrome (and Firefox) extensions to help make tweeting a less-intrusive part of your regular web browsing experience. Use them to make generating content a natural part of your day. You’re going to attract very few followers without fresh, regular content.

On the other hand, don’t go overboard. Space your tweets out, rather than clustering them all within a few minutes. (Buffer can really help you do this: we.) If you tweet more than a dozen or so times a day, you’ll risk pushing people away.

Tactic 17: Respond as fast as you can

Unless I’m sleeping, I typically will read and respond to any tweet coming my way within minutes. (Try me out!) That’s partly because all the various apps I have instantly alert me. I get emailed with @mentions, desktop alerts on Windows 8, and iPhone alerts, too.

A fast response ensures that you’re catching the other person when they’ve got you on their mind. From there, it’s more likely that you’ll be able to continue the conversation. As I discussed, you want your name in circulation in Twitter as much as possible, because the more it is out there, the more others will stumble across it.


In the past few weeks, I’ve looked closely at how some of our “power users” utilize Followerwonk. Perhaps not surprisingly, they use the product to manage their Twitter relationships.

They use our search and comparison features to find potentially enriching new relationships, particularly with those likely to engage (or follow) back. And they use our track, and other tools, to understand the life history of those relationships: when they follow, when they can expect return follows, and what to do when the relationships just don’t work out.

I hope I’ve provided a useful summary of that research above. We’re particularly excited about the two new features that complement these relationship strategies: a new chart detailing when (and what) users tweet, and advanced filters for any list of users.

Stay tuned for more exciting things to come! (A hint: the ability to track competitors’ relationships!)

And don’t forget to follow me on Twitter!


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!

Continue reading →

17 Tactics for More Twitter Followers (And Two New Followerwonk Features to Help!)

Posted by petebray

Let’s talk turkey! And by “turkey” I mean “followers.” And by “talk” I mean “get more!”

To start, put aside those quaint olden-times notions that seeking more followers is unsavory. Heck, even Twitter promotes their tools as means to quickly get more:

Of course, the early days of Twitter were very different than today. Back then, there were all sorts of spammy ways to get followers. Perhaps it is the hangover from those days that makes people queasy when thinking of “techniques” to get followers.

Nowadays, though, Twitter has clamped down hard. Spammy techniques will get you banished quickly. And most of those old grey-hat methods don’t even work: Twitter has radically limited how many people you can follow, as well as how many you can follow each hour.

You might ask, why do I want more followers anyway? Twitter does little for SEO (at least not directly). And followers are just chaff that don’t listen to me anyway (maybe so).

Well, I don’t want to get into a whole sales pitch for social media generally, but a few points stand out:

  • Twitter is a lightweight, frictionless, and serendipitous way to engage customers. It doesn’t require an email blast or the customer actively visiting your site. Once they follow you, they’ll encounter you on their timeline during the normal course of their social experience. The little pings and pops you’ll have with them accrue tremendous value.
  • Your follower count is a good measure of your influence, and other people see it as such. The more followers you have, the more you’ll attract, and the more you can use your influence to drive customers, conversations, and engagement.
  • The more you are followed, the more likely you will appear in the “Who to follow” Twitter promotion on the left hand side of Twitter.com.

With those in mind, let’s dive into the tactics. I also want to use this tips-and-tricks excursion to highlight two awesome new Followerwonk features.

Tactic 1: Tweet when your followers are online

Followerwonk’s analysis feature helps you do exactly this. You can quickly see when your friends (people you follow) or your followers are online.

Our integration with Buffer really streamlines the process to queue tweets when your followers are fully engaged.

A new chart we’ve added helps you even more:

Here, we highlight when my followers are most active (top chart) with when I’m tweeting (bottom chart). (Sigh, as you can see, I do a terrible job of matching my tweets to my followers.) Do this every week or so, and try to adjust your tweeting so the two charts closely match.

Tactic 2: Initiate conversations

If you go to Followerwonk right now, you can search for key terms in your industry or do a comparison of competitors’ followers. Take a look at the resulting users, then sort them by Social Authority. Find those that have the highest @response rate and engage with them!

But you can take it one step further with our new filter feature:

Yep, now Pro users can quickly filter any list of users by their relationships with those people. You’ll be able to quickly find:

  • Those people who are following you but whom you’re not following back
  • Those people whom you follow but who don’t follow you back
  • Those with whom you have a reciprocal relationship (you follow each other)
  • Those with whom you have no relationship

This way, you can quickly search for any term in your industry and surface a list of users with different types of relationships.

This is helpful when considering the type of engagement to initiate. If they follow you (and you don’t follow them), well, you can more personably address them? No relationship? Then perhaps a responsible @reply to one of their queries? In short, take advantage of the relationships you have right now. And carefully build new conversations with those you don’t.

After all, the more back-and-forth engagement you have with superstars (or even semi-superstars) in your industry, the more you’ll get others in the field to follow you.

Tactic 3: Use content as incentive

Of course it’s not always easy to get others’ attention. But if you produce good content, you can use that as a way to start conversations with experts on Twitter.

In any blog post, for example, you can directly include significant users’ tweets (or quotes or blog elements). Reach out to each of them on Twitter. Invite their comments, or solicit retweets. Did they respond or retweet? Great! Include them again in another blog post in a few weeks and repeat.

Tactic 4: Continue the conversation

Don’t just reply and let that end. Keep the conversation going as much as possible, particularly with positive customers. Close with a question. And with a positive response, reinforce that behavior with a retweet.

You want your Twitter handle in circulation as much as possible. The more others are talking about you, the more likely their friends will take a peek at what you’re about. Here’s a great example from @windows in an otherwise humdrum tech support back-and-forth:

@petebray Thanks for the kudos, Peter! The ability to edit PDF’s has been a major hit. Have you already edited your first PDF?
— Office (@Office) August 23, 2013

And, you know what, it worked. Here’s my response.

@Office yep, I sure have. Question: is there a way 2 turn off the status bar at bottom of Outlook? It’s such a vibrant blue it’s distracting
— peter bray (@petebray) August 23, 2013

They succeeded in prompting me to continue the conversation, ricocheting their name and message around my network.

Tactic 5: Have many more followers than friends

For many, a sure sign of a spam or an otherwise suspect account are those who have a large number of followers and a large number of friends. It suggests the person’s followers are largely a result of following in anticipation of a followback.

But it’s more than that. Even if you have only 100 followers, if you only follow 10, that ratio suggests you’re more compelling than those with an equal number. So, always keep an eye on your ratio. It has practical benefits, too: You won’t be able to follow over 2,000 people (not that you ever want to approach that many) unless you have a very healthy ratio.

Tactic 6: Make your profile and recent tweets compelling

Look carefully at how you will appear to most people on Twitter. They may see you @mentioned or RTed by others. And they may wonder who you are. So they’ll click on your name and see this little preview. (Note that on mobile the profile they’ll see is even more scant.)

Everyone who previews you will see your four most recent tweets. Remember, @mention tweets (those where you are engaging with others) are of little value except to those with whom you’re engaging. As such, try not to exceed a string of four @mention tweets in a row. You always want a non-@mention tweet with unique, compelling content to serve as a follow-attractant to those previewing your profile.

Note, too, the value of having a lot of relationships. The more you have, the more likely you will have implicit “recommendations” when someone views your profile.

Tactic 7: Every tweet has a larger audience than you think (so fill in the gaps)

Engaging with others is a vital part of Twitter (duh). But @mentions are roadblocks to anyone viewing your profile (except the person at the other end of the mention). For third party viewers, it can be like listening to one half of a phone conversation. So, from time to time, provide strategic retweets of the person you’re engaging with as a means to provide narrative for third-parties.

Tactic 8: Track your churn

Did you know that in Followerwonk we track every person that unfollows you? Yep, we do (Pro only).

Look carefully at who you’re losing. Sort the list of unfollowers by influence and follower count. Are you losing any big names? On what day? Go and look at that day and see what you did that might have driven them away.

Tactic 9: Don’t blindly follow back

Remember, you want a compelling follower to friend ratio. Your default should be not to return follow, except for those whose content you’re truly interested in. These new followers are “in the bag” and there’s no value, from a follower growth perspective, in reciprocating.

Tactic 10: Prune, prune, prune

On a similar note, get rid of the dead weight that you’re probably already following right now.

Do an analysis of your account. Scroll down and find the list of “recencies of tweets” of your followers and the people you’re following. Ask yourself, “why am I still following people who haven’t tweeted in 2 years?” Unfollow them. What about those tweeting in a language you don’t speak? Unfollow. Or what about those who themselves are following 1000s of people? Do you think they’re really reading your tweets? Consider them, too, as good unfollow candidates.

Go to the “Sort” page where you can view all your followers. Use the awesome new filters to view those users you follow but who don’t follow you back. Are those one-directional relationships worth it? If not, unfollow them.

Tactic 11: Follow with a purpose

You want to be part of a bright constellation of like-minded people in your industry, not part of a mishmash nebula. Why? Because Twitter’s sidebar recommendations for who to follow are very much based on groupings of interconnected people. As such, your follows should be both strategic and designed to elicit follow backs.

So, go to Followerwonk. Search for your industry. Compare your competitors, and sort by influence. Don’t follow those with only a handful of friends (and who have many thousands of followers). Look for those with a relatively equal number of friends and followers. This suggests they’ll likely follow you back.

Also, look for those with high engagement rates. Check their tweets. Look good? Follow them.

Tactic 12: Super-engage those super-important

Remember, most engagements with others are recorded on those users’ Twitter timelines, and those timelines (for many of us) are checked religiously.

So, for those folks with whom you really, really want a relationship, don’t just @mention them. Go the whole nine yards. Follow them, RT one of their tweets, favorite one, and @mention them. It’s exuberant engagement like this that gets noticed, and stands a better chance of getting you on their radar. (Of course, if you get no response, don’t keep pestering.)

Tactic 13: Track your follow success

Just as you can track your unfollows in Followerwonk, you can also track everyone you follow (and whether they follow you back). This is great stuff.

Follow a bunch of people. Two weeks later, look at those follows in Followerwonk. How many now return follow?

What I suggest is setting up a series of experiments. One week, focus on following people you find by comparing competitors. Another week, focus on following people by analyzing a competitor’s profile. Does one outperform the other in terms of follow backs? (If so, repeat that one!)

(We’ll have more tools in Followerwonk soon to help you better track performance like this. Stay tuned.)

Tactic 14: Engage un-reciprocating friends in a timely fashion

So what to do about those you’ve followed who don’t return follow? Consider a targeted engagement. Take a careful look at their use of Twitter.

Note, in this new Followerwonk chart in our Analyze feature, how, for any user, you can quickly assess when that user is tweeting.

Not only that, but we also highlight the types of tweets they’re making at certain hours. Perhaps during the early morning, for example, they’re doing most of their @mentions (a great time to reach them, then); while the afternoons are dedicated to retweets.

You can use this data to help plan a campaign around especially important Twitter users, but it’s also very helpful for non-VIPs.

Tactic 15: Carefully purge

Look, it’s a messy subject: the idea of following someone and then unfollowing them later. And by no means do I propose that as your bread and butter.

But the simple fact is humans live on reciprocal relationships. I extend my hand, you extend yours… or else I’m gonna retract mine!

As such, there’s nothing wrong with prudent unfollowing of those who don’t reciprocate your follow. But give them time, and use Followerwonk to help understand the full history of your relationship with them before you walk away.

Tactic 16: Tweet frequently, but not too frequently

Make a concerted effort to generate new, unique, and compelling content on a daily basis. Don’t just sit and respond, but actively create content. There are plenty of great Chrome (and Firefox) extensions to help make tweeting a less-intrusive part of your regular web browsing experience. Use them to make generating content a natural part of your day. You’re going to attract very few followers without fresh, regular content.

On the other hand, don’t go overboard. Space your tweets out, rather than clustering them all within a few minutes. (Buffer can really help you do this: we.) If you tweet more than a dozen or so times a day, you’ll risk pushing people away.

Tactic 17: Respond as fast as you can

Unless I’m sleeping, I typically will read and respond to any tweet coming my way within minutes. (Try me out!) That’s partly because all the various apps I have instantly alert me. I get emailed with @mentions, desktop alerts on Windows 8, and iPhone alerts, too.

A fast response ensures that you’re catching the other person when they’ve got you on their mind. From there, it’s more likely that you’ll be able to continue the conversation. As I discussed, you want your name in circulation in Twitter as much as possible, because the more it is out there, the more others will stumble across it.


In the past few weeks, I’ve looked closely at how some of our “power users” utilize Followerwonk. Perhaps not surprisingly, they use the product to manage their Twitter relationships.

They use our search and comparison features to find potentially enriching new relationships, particularly with those likely to engage (or follow) back. And they use our track, and other tools, to understand the life history of those relationships: when they follow, when they can expect return follows, and what to do when the relationships just don’t work out.

I hope I’ve provided a useful summary of that research above. We’re particularly excited about the two new features that complement these relationship strategies: a new chart detailing when (and what) users tweet, and advanced filters for any list of users.

Stay tuned for more exciting things to come! (A hint: the ability to track competitors’ relationships!)

And don’t forget to follow me on Twitter!


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