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Was There a November 14th Google Update?

Posted by Dr-Pete

On the morning of Friday, November 15th, we woke up to a substantial one-day temperature spike on MozCast. Digging in, there were no signs of a glitch, and it seemed to hit across multiple IPs. The 30-day history looks like this:

Webmaster chatter seemed normal and Google has not confirmed an update, but soon other major flux-tracking tools showed one-day spikes. Here’s the data from SERPmetrics:

Both SERPmetrics and SERPs.com (that graph is a bit less clear, due to an unusually low-flux day earlier in the month) show the spike on November 15th, but one-day shifts are common due to measurement differences in the three tools.

Did big sites win big?

The first thing I dig into when we see a temperature spike is a set of secondary metrics that look at large-scale trends across the data set. That morning showed a solid jump in the “Big 10,” which simply represents the percentage of total search results in the set occupied by the top 10 domains (for that day):

The one day jump from 15.39% to 15.89% represents a 3.2% relative increase – it may not seem like a huge amount, but it’s historically unusual. Wikipedia, Amazon, and eBay all had one-day gains in the 3-5% range.

Unfortunately, it’s easy to jump to conclusions but much harder to interpret this kind of change. Some algorithm updates might benefit large brands, but it’s just as often the case that an update penalizes low-quality sites, and the big brands simply end up filling the gaps. For example, if the #10 result on a SERP falls out, and the #11 pops up one position to fill that spot, the new #10 is more likely to be a big site with a large Google footprint than a small site.

Our larger data set (not currently public) set shows a similar trend. All I can say with certainty is: (1) this was a historically unusually one-day change, and (2) the “Big 10” metric is at now at a historical high (going back to April 2012). I have no reliable clues about the causality and what specifically changed to cause this increase.

What did Wikipedia win?

Since digging into high-temperature keywords didn’t reveal any clear patterns, I thought it might be interesting to see where a big winner (like Wikipedia) picked up top 10 listings. In most of the cases I saw, the big domains didn’t gain prime real estate, but simply picked up a top 10 result because another site fell out. For example, here are the top 10 on November 14th for “famous footwear store hours” (domains only):

  1. FamousFootwear.com
  2. FamousFootwear.com
  3. FamousFootwear.com
  4. FamousFootwear.com
  5. FamousFootwear.com
  6. FamousFootwear.com
  7. FamousFootwear.com
  8. MyStore411.com
  9. Wiki.Answers.com
Clear, this SERP was dominated that day by the main brand’s site (in this case, individual store locations). On November 15th, though, it appears there was a shuffle in domain crowding:
  1. FamousFootwear.com
  2. FamousFootwear.com
  3. FamousFootwear.com
  4. FamousFootwear.com
  5. MyStore411.com
  6. Wiki.Answers.com
  7. OutletLocation.com
  8. Indeed.com
  9. Wikipedia.org
  10. Yelp.com
The main brand’s site dropped from eight results to four, and Wikipedia simply picked up one of the newly opened spots. This domain crowding/diversity pattern didn’t seem to hold up across the data set, but it does appear that the gains by big domains were primarily due to losses higher in the SERPs. In other words, big domains like Wikipedia and Amazon only picked up top 10 rankings because someone else fell out.

Was there a glitch?

Something else happened on November 14th that was a bit odd. I informally polled my Twitter followers about that day and got the following bit of information from Galen Ward:

Coincidentally, I had just been in the Moz Google Webmaster Tools account that morning and happened upon this (I didn’t put two and two together until Galen’s tweet):

I didn’t think much of it at the time (temporary glitches happen), but it seems that multiple webmasters and SEOs got the same error on the same day. Is it possible that a bug on Google’s end could cause large-scale ranking fluctuations? It depends a lot on the scope and nature of the bug. Last April, a Google bug caused a number of domains to be misclassified as parked, and the impact was large enough to cause noticeable ranking changes.

If this was simply an unexpected side effect of a bug, though, we’d expect a reversal. The temperature the next day or soon after would spike again, and the secondary metrics, like the Big 10 increase, would settle back to their former values. In this case, we’ve seen no such reversal.

Is Andy Kaufman alive?

When it comes to daily ranking changes, separating the signal from the noise is incredibly difficult. The morning of November 15th, we captured a change that illustrates just how dynamic Google has become (and is something I’ve wanted to capture in the wild for a while).

Around November 13th, TMZ broke a story that a woman claiming to be Andy Kaufman’s daughter said that her father was still alive. Multiple news sources picked up on this story on November 14th. Early that morning, we captured the first page of results for “kaufman”, which were as follows:

  • IMDB (Charlie Kaufman)
  • Wikipedia (Kaufman, TX)
  • Wikipedia (Andy Kaufman)
  • RobertKaufman.com
  • KaufmanCo.com
  • KaufmanCounty.net
  • KaufmanTX.org
  • Kauffman.org
  • Fandango.com (Kaufman Astoria Cinemas)

Google was viewing a search for “kaufman” as informational and generic, returning results for Andy Kaufman, Charlie Kaufman, cities named Kaufman, etc. A disambiguation box on the SERP even makes it clear that Google has trouble interpreting the query.

After the story about Andy Kaufman broke, the SERP changed dramatically:

  • CNN
  • IMDB (Charlie Kaufman)
  • CNN
  • Wikipedia (Kaufman, TX)
  • Fox News
  • KaufmanCounty.net
  • RobertKaufman.com
  • KaufmanCo.com
  • US Today
  • NY Daily News

Where there were no news-related organic results before, news articles now accounted for half of the top ten, including the #1 and #3 spots. You may have heard the term “QDF” (Query Deserve Freshness) in the SEO world. What’s interesting here is that QDF is not something that’s just on or off for any particular query. A query that was relatively static transformed overnight because of new information. In other words, Google decided in real-time that this informational query was now a news query, simply based on new data and content.

Is this the cause of the overall flux? No – it’s very unlikely that a single event could move the needle. Even an event like 9/11, that had a huge impact on many people, is only going to be relevant to a small percentage of queries. Events like these simply go to show how dynamic any given query can be on any given day. In a case like this, the query isn’t even historically high flux – it transformed overnight, and that transformation had nothing to do with algorithm updates.

So, what happened?

If it seems like I’m stalling, then, well – hey, is that Elvis?! One of the difficulties of retroactively explaining rankings fluctuations is that we typically can only look at the results themselves. This essentially means that we’re measuring positions, position changes, and characteristics of the domains and URLs. This makes it easy to measure something like domain diversity but very difficult to profile something like a Penguin update, where the changes are due to characteristics of the individual sites and their link profiles.

We’re also creeping into the holiday season – we’ve already seen a pattern of above average flux in the weekend before Thanksgiving. As we get into Black Friday, commercial SERPs naturally fluctuate, and it’s hard to separate what Google is doing from changes due to competition and seasonality.

Whatever happened on November 14-15, it doesn’t appear to have rolled back. The one-day spike is similar to a more traditional algorithm update, but that’s about the best we have for now. If anyone has seen additional clues or has any follow-up on the DNS errors in Google Webmaster Tools, please leave a comment.


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 →

Was There a November 14th Google Update?

Posted by Dr-Pete

On the morning of Friday, November 15th, we woke up to a substantial one-day temperature spike on MozCast. Digging in, there were no signs of a glitch, and it seemed to hit across multiple IPs. The 30-day history looks like this:

Webmaster chatter seemed normal and Google has not confirmed an update, but soon other major flux-tracking tools showed one-day spikes. Here’s the data from SERPmetrics:

Both SERPmetrics and SERPs.com (that graph is a bit less clear, due to an unusually low-flux day earlier in the month) show the spike on November 15th, but one-day shifts are common due to measurement differences in the three tools.

Did big sites win big?

The first thing I dig into when we see a temperature spike is a set of secondary metrics that look at large-scale trends across the data set. That morning showed a solid jump in the “Big 10,” which simply represents the percentage of total search results in the set occupied by the top 10 domains (for that day):

The one day jump from 15.39% to 15.89% represents a 3.2% relative increase – it may not seem like a huge amount, but it’s historically unusual. Wikipedia, Amazon, and eBay all had one-day gains in the 3-5% range.

Unfortunately, it’s easy to jump to conclusions but much harder to interpret this kind of change. Some algorithm updates might benefit large brands, but it’s just as often the case that an update penalizes low-quality sites, and the big brands simply end up filling the gaps. For example, if the #10 result on a SERP falls out, and the #11 pops up one position to fill that spot, the new #10 is more likely to be a big site with a large Google footprint than a small site.

Our larger data set (not currently public) set shows a similar trend. All I can say with certainty is: (1) this was a historically unusually one-day change, and (2) the “Big 10” metric is at now at a historical high (going back to April 2012). I have no reliable clues about the causality and what specifically changed to cause this increase.

What did Wikipedia win?

Since digging into high-temperature keywords didn’t reveal any clear patterns, I thought it might be interesting to see where a big winner (like Wikipedia) picked up top 10 listings. In most of the cases I saw, the big domains didn’t gain prime real estate, but simply picked up a top 10 result because another site fell out. For example, here are the top 10 on November 14th for “famous footwear store hours” (domains only):

  1. FamousFootwear.com
  2. FamousFootwear.com
  3. FamousFootwear.com
  4. FamousFootwear.com
  5. FamousFootwear.com
  6. FamousFootwear.com
  7. FamousFootwear.com
  8. MyStore411.com
  9. Wiki.Answers.com
Clear, this SERP was dominated that day by the main brand’s site (in this case, individual store locations). On November 15th, though, it appears there was a shuffle in domain crowding:
  1. FamousFootwear.com
  2. FamousFootwear.com
  3. FamousFootwear.com
  4. FamousFootwear.com
  5. MyStore411.com
  6. Wiki.Answers.com
  7. OutletLocation.com
  8. Indeed.com
  9. Wikipedia.org
  10. Yelp.com
The main brand’s site dropped from eight results to four, and Wikipedia simply picked up one of the newly opened spots. This domain crowding/diversity pattern didn’t seem to hold up across the data set, but it does appear that the gains by big domains were primarily due to losses higher in the SERPs. In other words, big domains like Wikipedia and Amazon only picked up top 10 rankings because someone else fell out.

Was there a glitch?

Something else happened on November 14th that was a bit odd. I informally polled my Twitter followers about that day and got the following bit of information from Galen Ward:

Coincidentally, I had just been in the Moz Google Webmaster Tools account that morning and happened upon this (I didn’t put two and two together until Galen’s tweet):

I didn’t think much of it at the time (temporary glitches happen), but it seems that multiple webmasters and SEOs got the same error on the same day. Is it possible that a bug on Google’s end could cause large-scale ranking fluctuations? It depends a lot on the scope and nature of the bug. Last April, a Google bug caused a number of domains to be misclassified as parked, and the impact was large enough to cause noticeable ranking changes.

If this was simply an unexpected side effect of a bug, though, we’d expect a reversal. The temperature the next day or soon after would spike again, and the secondary metrics, like the Big 10 increase, would settle back to their former values. In this case, we’ve seen no such reversal.

Is Andy Kaufman alive?

When it comes to daily ranking changes, separating the signal from the noise is incredibly difficult. The morning of November 15th, we captured a change that illustrates just how dynamic Google has become (and is something I’ve wanted to capture in the wild for a while).

Around November 13th, TMZ broke a story that a woman claiming to be Andy Kaufman’s daughter said that her father was still alive. Multiple news sources picked up on this story on November 14th. Early that morning, we captured the first page of results for “kaufman”, which were as follows:

  • IMDB (Charlie Kaufman)
  • Wikipedia (Kaufman, TX)
  • Wikipedia (Andy Kaufman)
  • RobertKaufman.com
  • KaufmanCo.com
  • KaufmanCounty.net
  • KaufmanTX.org
  • Kauffman.org
  • Fandango.com (Kaufman Astoria Cinemas)

Google was viewing a search for “kaufman” as informational and generic, returning results for Andy Kaufman, Charlie Kaufman, cities named Kaufman, etc. A disambiguation box on the SERP even makes it clear that Google has trouble interpreting the query.

After the story about Andy Kaufman broke, the SERP changed dramatically:

  • CNN
  • IMDB (Charlie Kaufman)
  • CNN
  • Wikipedia (Kaufman, TX)
  • Fox News
  • KaufmanCounty.net
  • RobertKaufman.com
  • KaufmanCo.com
  • US Today
  • NY Daily News

Where there were no news-related organic results before, news articles now accounted for half of the top ten, including the #1 and #3 spots. You may have heard the term “QDF” (Query Deserve Freshness) in the SEO world. What’s interesting here is that QDF is not something that’s just on or off for any particular query. A query that was relatively static transformed overnight because of new information. In other words, Google decided in real-time that this informational query was now a news query, simply based on new data and content.

Is this the cause of the overall flux? No – it’s very unlikely that a single event could move the needle. Even an event like 9/11, that had a huge impact on many people, is only going to be relevant to a small percentage of queries. Events like these simply go to show how dynamic any given query can be on any given day. In a case like this, the query isn’t even historically high flux – it transformed overnight, and that transformation had nothing to do with algorithm updates.

So, what happened?

If it seems like I’m stalling, then, well – hey, is that Elvis?! One of the difficulties of retroactively explaining rankings fluctuations is that we typically can only look at the results themselves. This essentially means that we’re measuring positions, position changes, and characteristics of the domains and URLs. This makes it easy to measure something like domain diversity but very difficult to profile something like a Penguin update, where the changes are due to characteristics of the individual sites and their link profiles.

We’re also creeping into the holiday season – we’ve already seen a pattern of above average flux in the weekend before Thanksgiving. As we get into Black Friday, commercial SERPs naturally fluctuate, and it’s hard to separate what Google is doing from changes due to competition and seasonality.

Whatever happened on November 14-15, it doesn’t appear to have rolled back. The one-day spike is similar to a more traditional algorithm update, but that’s about the best we have for now. If anyone has seen additional clues or has any follow-up on the DNS errors in Google Webmaster Tools, please leave a comment.


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 →

Remarketing: How to Make Your Content Marketing and SEO up to 7x More Awesome

Posted by larry.kim

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.

Today, I’ll share with you a case study on how we used remarketing to make our content marketing and SEO efforts up to seven times more effective. In the last two years, we’ve moved beyond just doing SEO to kicking some major online marketing butt and I’d love to show you the lessons we’ve learned in the time it took to get here. Hopefully you can cut your own learning curve and get right to it!

Rockin’ SEO and the company no one knows

WordStream’s website launched late in 2008. My company is pretty much your typical B2B brand using content marketing and SEO to drive leads for the business. Today, our blog gets around half a million visitors each month; we’ve seen a compound monthly growth rate of 8.4% every month, for the last five years!

Here’s what that looks like:

At first glance, you might consider this a huge SEO success (doesn’t everything look better if you only take a glance?). As you might expect though, we’ve faced a few challenges over the last few years:

Issue 1: Low visitor engagement

Here’s what it looked like over a 60-day period last year, back when we had pretty weak user engagement metrics:

  • Just 1.9 pages per visit.
  • An average visit duration of 1 minute and 34 seconds.
  • A new visitor ratio of 79.2%.

We knew we could do better than this… yet we weren’t.

Issue 2: Low conversion rate

Our second challenge had to do with low conversion rates from website visitors to offer sign-ups. Like many other companies that do SEO/Content Marketing, we’re hoping to turn some of that traffic into offer sign-ups for things like white papers or free trials. We want to get interested prospects into our system so we can communicate with (and market to) them on a regular basis.

Unfortunately, our conversion rates were pretty low–just under 2%–as people were bouncing away and often not returning. I don’t care how great you are at getting eyes on your content; if you’re not converting, it’s worthless.

Issue 3: Virtually no branded searches

This one was probably our biggest problem. In organic search, only 3% or so of our approximately half a million monthly organic searches were branded searches. Check out this snapshot from last year, back when “not provided” was only around 10% and it was still possible to do this kind of analysis.

(Let’s just stop here briefly, shall we? We must have a moment of silence for our lost organic keyword data.)

Okay, we’re back… have a look:

I’m sure we’ve all seen our share of clueless clients, where 95% of the organic search traffic is branded search. I wouldn’t want to see all branded search; it means your SEO sucks if you’re only appearing in front of people who are already looking for your business by name.

My site was the exact opposite. We were driving hundreds of thousands of visits per month via SEO and only 3% of that came from branded search. What does that mean? It meant our SEO had gotten too far ahead of the brand.

On the one hand, it’s great to have growing SEO traffic numbers. However, as I pondered the issues above—low engagement, low conversion and very little branded search—I realized the situation was more like:

the best internet marketing company that nobody ever heard of

(image via Flickr)

Essentially, we were just driving tons of traffic to my link-juiced up domain using the amazing, optimized content we’d created, but people wouldn’t stay that long, convert, or remember the company brand.

That’s not a good thing at all. It’s pretty anti-climactic, actually; you do the work of creating killer content, optimizing it for both users and search, get it out the door and in front of the right people… and they still have no idea who you are. We had to stop throwing money out the door. We couldn’t just be SEOs anymore.

Remarketing primer for the uninitiated

Remarketing is basically the process of tagging people who visit your site, then targeting them with banner ads after they leave your site. No, this is not otherwise known as stalking—not if you’re doing it right, anyway. Remarketing can be a very powerful tool, if you avoid crossing over into the creep factor.

How Remarketing Works

It gives you the opportunity to appear in front of people who had already expressed an interest in your brand as they go about their business on the web. They could be checking their email, reading the news, watching a YouTube video… and there you are! Reminding them of that thing they were going to do when they checked you out a few days ago.

Why remarketing?

We did a lot of thinking about our issues and how to fix them. We were totally killing it with our SEO and driving traffic like no one’s business, but clearly, that wasn’t enough.

Remarketing was actually one of the first potential solutions I considered seriously, because by definition, remarketing provides opportunity to:

  • Turn abandoners/bouncers into leads
  • Increase brand recall (and thus increase branded searches)
  • Increase repeat visitor rates and engagement
  • Increase the effectiveness of SEO and content marketing

What we needed was to better connect with the people who were interested in visiting us in the first place. Obviously, we weren’t excelling at grabbing and keeping their attention, but then, we weren’t getting the chance to follow up with this mass of search traffic.

Remarketing would allow us a second chance to make that first impression, if you will (and even a third, and a fourth). We had to get past being forgettable. We had to get sticky.

And why remarket with Google, you ask? Why not? Quite simply, they were the largest and most recognized marketplace going; they just made sense for us. The Google Display Network is one of the largest remarketing networks in the world, with over two million sites in the network. It also includes AdMob for mobile targeting, meaning you can get your ads to show up in Angry Birds and other mobile apps.

the reach of the Google Display Network

Generally you can find your tagged site visitors on the network many times per day, several days per week, and across many different sites. On average, you’ll be able to connect with:

Soon, Google DoubleClick users will also be able to buy retargeting ads on Facebook, which is proving an incredibly effective platform for the tactic.

Remarketing as a Conversion Rate Optimization Tool

According to research from Forrester, 96% of people who visit your site don’t convert to a lead or sale. And 70% of people who put stuff in a shopping cart leave without placing an order. These people really are the low hanging fruit and from that perspective, I view remarketing as an effective conversion rate optimization tool—sort of.

average conversion rates

This was another major reason retargeting made sense for us. We really needed that help with brand recognition and getting people back to our site to convert (or at least get back on site and connect so we could nurture the lead).

So, with the decision made to at least try it out and test, we got started.

Important things to consider when starting remarketing

In remarketing, you usually need to create different audiences to remarket so you can adjust your bidding strategy and your ads. For example, we created one audience for people who visited our blog, one for home page visitors and another for people who visited one of our free tools (e.g.: Our Google AdWords Grader for PPC auditing). We can assume each of these high-level groups was looking for different types of information.

This basic segmenting allowed us to show different ads, depending on which section of our site they visited.

A secondary benefit was that we could bid more aggressively (get more impressions, higher more prominent ad positions) for visitors to our AdWords Grader, which is worth way more to us as a business than someone who visits our blog (because we blog about all sorts of random stuff that has nothing to do with WordStream there, intent is far lower, if at all).

Another cool remarketing strategy for content marketers is to define audience categories based on the different post categories in your blog. If you already have a ton of blog content that is classified by topic, leverage those existing classifications in your remarketing audience definition strategy.

Also, consider membership duration; that is, how long do you want to keep chasing these people around the Internet? I set ours to 30-60 days, which is pretty aggressive (you might even call it spammy). A shorter membership duration would improve cost per conversion metrics, since people are less likely to convert as more time passes. Also, consider the difference you might see between B2C and B2B. You know the length of your average sales cycle and will have to test to see if it’s worth going beyond that time, or if they’re apt to have completed a purchase.

Remember:

  • Create audiences, groups of visitors based on the pages they visited or other factors.
  • Bid more aggressively on visitors who showed greater intent.
  • Segment your audiences based on the different content topics on your site
  • Test against the length of your sales cycle as a starting point to finding the right audience membership duration.

Killer ad creative strategy for remarketers

Now that we’ve tagged visitors and segmented them into different audiences, the key is to create cool ads in different formats that:

  • Drive a call to action.
  • Feature branding or images that will improve brand recall.

Lousy ads have sunken many remarketing efforts, so the key is to keep A/B testing with different ad designs. You want to have a high CTR (ideally more than 0.4%) and find the most memorable copy and image combinations, since one of the objectives here is to improve brand recall. You know you have finally “made it” when you get people tweeting your ads! Like this cute little puppy dog!

Another company killing it with their remarketing ads right now is none other than Moz, who has some of the cutest remarketing ads featuring the amazing Roger Mozbot!

Remarketing results 18 months out

We started our remarketing efforts early in Q1 2012, just over 18 months ago. How are things going today? Based on the title of the post, you know this was the best move we could have made, but how big was the impact?

Impact on brand recall

One of the biggest issues I had was poor brand recall – that a measly 3% of my organic searches were branded searches. Unfortunately, the whole keyword (not provided) mess makes it pretty much impossible to trend this branded searches over time [shakes fist at Google], however a proxy for brand recall is direct traffic. Meaning, to the extent that you’re building your brand, you would expect more people to visit your website directly, as opposed to stumbling upon your SEO’ed content. Here’s what my direct traffic looks like over last 6 years.

Impact on repeat visitor rate

Earlier, I mentioned that last January, we had a 20% returning visit rate. Today, it’s more like a 33% of our visitors are repeat visitors. That’s a massive over 50% improvement. We love to see the steady increase in repeat visitors (decrease in new visitors) over time.

Impact on user engagement and conversion rates

Check THIS out. Remember that ridiculous 1 minute and 33 second average visit duration? Today, it’s up 300% and is approaching 5 minutes. Furthermore, our website visitor-to-lead-form-submitted conversion rates are up 51%!

It’s important to note there was one other major factor that helped us here with the huge increase in visit duration and that was to embrace longer form content. Both were important for the overall strategy and I’ll write about that in a future post.

Repeat visitors +50%, conversion rate +51%, and and time on site +300% = 7x more awesome!

A few closing notes on our remarketing strategy:

Basically, we buy a truckload of impressions ever month. Around 44 Million of them per month—take a look below—I allocate my PPC budget 50/50 between search and display remarketing.

Why so much remarketing? At this point, we’re already generating hundreds of thousands of visitors to the site every month via SEO and content marketing, so it’s worth that much more to the business to convert the organic traffic we’re getting. I think this is very common among sites that do SEO well.

As we’ve gotten better and better at driving traffic via SEO, our PPC search strategy today is much more about getting additional ad space coverage around a very narrow set of high commercial intent keywords, which have lots of ads crowding out the organic results.

It’s important to note that my “7x More Awesome” metric was our ROI from remarketing as we specifically sought to improve engagement rates, brand recall and conversion rates – if you choose to test remarketing for your business, the ROI will depend on your goals and objectives.

Remarketing: moving beyond SEO towards building your brand

In summary, SEO is a great traffic acquisition method, but by definition, you’re going after people who are unfamiliar with your brand (since if they knew where to get whatever they were looking for, they would have directly navigated to your site).

In order to grow your business into a more mature company, you need to go beyond just SEO and build your brand!

Remarketing is an incredibly effective way to leverage and capitalize on your SEO and content marketing investments to build:

  • more repeat visitors,
  • more brand recall (branded searches, direct traffic),
  • more engagement (pageviews per visit, time on site, lower bounce rates)
  • and more conversions/leads/sales.

Personally, I think it’s crazy to be doing SEO without at least some remarketing. No, it’s not free, but neither is SEO/Content Marketing. The point is to understand where each tactic is most effective and how they work best together to drive audiences, then convert/retain to get way more bang for your buck. Like Rand has said, we can’t just be SEOs anymore!


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 →

9 Lessons from an $11m Marketing Campaign

Posted by jamesporter

The John Lewis Christmas 2013 campaign has smashed it virally. Since it launched two weeks ago it’s had:

  • 8 million views on YouTube
  • 150k Twitter mentions
  • 70k Facebook interactions

As content marketers, those kind of engagement statistics seem incredible. Admittedly, brand marketers have much bigger budgets, but as content marketers, what can we learn from brand marketers about creating, launching and promoting content?

If you’re in the UK, then you will undoubtedly have seen it, but for everyone else, here’s the video:

If you’re a bit skeptical and think that content marketing and big brand marketing are totally different, then read this quote from industry marketing bible The Drum:

“Shares are the currency of social success and for leading brand marketers discovering how to create and distribute highly shareable content repeatedly and at scale is now at the top of their wish list.”

Sounds familiar, right? Basically big brand marketing and content marketing are converging.

Hopefully you’ve bought into the idea that we’re becoming the same industry…so what can we learn?


Lesson 1: Don’t launch on your own site (launch where your target market is)

John Lewis is a big brand, but they didn’t launch their campaign on their site. They launched their campaign via Twitter and YouTube.

Why? Because that’s where their target market is, that is where they are going to get traction with their audience, and that is where they have the highest chance of virality.

Lesson: Could you launch your content where your target market is? A great example of this happening in the SEO community is Stephen Pavlovich’s Definitive Guide To Conversion Rate Optimisation. It’s a fantastic piece of content that was launched on Moz and helped to build Stephen’s name in the industry.

Pro Tip 1: If you’re worried about losing link equity, use the cross domain rel=canonical tag to transfer value back to your site.

Pro Tip 2: If you can’t get your content onto a platform where your target audience is, can you use paid promotion to get your content on there?


Lesson 2: Don’t make links your main objective

We all want more links. But at Distilled we’re now optimising campaigns for other metrics as well.

Question: Would you rather build your brand with new audiences or would you prefer a link from a DA30 site on a page that nobody ever visits and that provides zero referral traffic?

Lesson: Set your content objectives not purely on links or views, but on other levels of engagement. Still factor in links but consider other metrics like sharing, data capture, brand uplift, or online purchases/enquiries.


Lesson 3: Target your content broadly

When you’re creating content at the level of John Lewis, then arguably your audience is the entire population.

As content marketers, we’ve got narrower audiences, but there’s a fine line between targeting your content too broadly:

and targeting your content too narrowly:

Lesson: Make sure that the audience that you are targeting for your content piece is large enough to achieve your objectives. Otherwise you have failed from the start.

Pro Tip 1: If you’re worried about the reach of your target audience, try and combine several audiences into one content piece. Wiep Knol in his Searchlove 2010 presentation (no longer available, unfortunately) gave a great example of combining several target audiences with his piece the “70 Most Beautiful Churches In Europe,” which brought the travel blogging and religious communities together.

Pro Tip 2: Another way you can target content more broadly is geographically. Bingo site TwoLittleFleas has used a US/UK switch on their quiz to broaden their potential audience from 63m (UK population) to 377m (US and UK population).

Pro Tip 3: Another way of targeting your content is including many niche audience groups within a piece of content. This works as the piece of content speaks to pre-existing communities, and their automatic thought when seeing the piece is “that’s for me!.”

The “From Gospel to Grunge: 100 Years of Rock” piece is not just for people interested in music, it also references various music communities and that will encourage people to engage with the piece.

100 Years Of Rock


Lesson 4: Build influencers into your content

John Lewis has embedded an influencer with a massive online community directly into their content. Lily Allen is singing on the ad, which is a pretty clever play from John Lewis considering that she’s got 4.3m followers on Twitter.

Lesson: Build influencers into your content launch plan. Ask them to contribute or comment, give them a free trial, or offer them beta access.

Pro Tip: When doing outreach, find people who you can help out. This changes the mindset from “what can this person do for me” to “how can I help this person” (great tip from Marco Montemagno at SearchLove 2013).


Lesson 5: Focus your marketing on innovators/opinion leaders

Hat tip to Seth Godin (and his Purple Cow) for this one. Why did John Lewis launch their campaign online, even though TV is the primary channel? Because online is where innovators and opinion leaders hang out. These are the people that are on the lookout for something new or different. Innovators and opinion leaders have the ability to change the behaviour of the early and late majority.

Lessons: Opinion leaders matter. Use this process from Richard Baxter to find the influencer intersect for your market, and then build relationships with these people as a long term strategy for success in your space.


Lesson 6: Get your creative right (people need to love your marketing)

Didn’t you know? Google and other social networks (particularly Facebook), are filtering content through to you based on what they think you’ll like. Just because you’re publishing content doesn’t mean your audience is getting it. (not convinced, read this book).

If other people are reading and sharing though, then your content is likely to get through the filters. So people really do need to love your marketing for it to work.

So, how can you get your creative up to scratch?

If you’re just starting out with content marketing, then there are a few things you need to do first:

  • Manage expectations and educate internally that content marketing plays like this can fail.
  • Do something small first that requires limited budget. Build confidence. Get buy in from the C-suite. THEN go big!

Pro Tip 1: Mitigate risk. Offset some of the risks of content marketing by emulating the fundamentals of a piece that has ALREADY been successful in a different geographical location or industry.

Pro Tip 2: Need creative inspiration? Check out this great post from Kelsey Libert on creative ideation, or this classic from Larry Kim “How I got a link from the Wall Street Journal“.


Lesson 7: Spend more on outreach than you are spending on content creation

The John Lewis campaign cost £7m. £6m is going to promotion (advertising). £1m went to creative.

What ratios are you working on in terms of spend on content creation to outreach? The loud and clear message here is that in brand marketing outreach isn’t an afterthought. It’s fundamental to the campaign.

Lesson: Double your outreach budget. Do outreach yourself? Spend twice the amount of time on it for your next project.


Lesson 8: Keep your content non-promotional (but plan for sales post-launch)

If people feel that they are being sold to, they are less likely to share. So keep your content as non-promotional as possible.

Lesson: For your next piece of content, strip out your sales focused header and footer, and remove the sales spiel and the ‘buy’ call to action. This is an example piece of content marketing for Simply Business. As you can see, the content, sharing and utility of the piece is the main focus, not any specific marketing or commercial messages.

Pro Tip: Add remarketing tags to your content so you can promote to your audience at a later date (even if it’s just to promote your next content piece).


Lesson 9: Are you creating a reaction with your audience?

What reaction are you stirring up in your audience? Is it curiosity, surprise, sorrow or pride?

Interestingly, John Lewis adverts are deliberately sad and they evoke an emotional reaction with their choice of music and the story.

Lesson: At the concept stage, if your concept doesn’t evoke a visible reaction with a small group of users, consider it a no-go. No reaction = No social shares.


Conclusion

As content marketers, we know a lot of the strategies and tactics that brand marketers are using. But there’s a big difference between knowing what to do, and actually doing it.

In my opinion, there’s still a lot we can learn from brand marketers, specifically in terms of strategy, scale, reporting and measurement, and ultimately in the results they get. I’m excited about the way that our two industries are converging.

If you need more inspiration here are a list of resources that I follow to keep up to date with the creative digital sector, and of how I keep up to date with what people love online:

Ads/PR/content making waves:

Hope you enjoyed the piece, if you’ve got any examples of great content marketing or brand marketing that have blown you away, drop them in the comments. Would love to see them.


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Web Psychology – Whiteboard Friday

Posted by nathalienahai

All marketers hope to see their audiences move down their marketing funnel, eventually converting to paying customers. We reach out through social media, we create content that we hope resonates, and we optimize our sites in hopes of eliciting certain behaviors from those customers. Psychology, then—the study of mental functions and behaviors—is a foundational part of what we do.

In today’s Whiteboard Friday, Nathalie Nahai—the web psychologist—explains some of the more fundamental aspects of people’s behavior online, offering insight into ways we can improve our efforts to reach them.

Whiteboard Friday – Nathalie Nahai – Web Psychology

For reference, here’s a still of this week’s whiteboard!

Video Transcription

Hi everyone. My name is Nathalie Nahai. I’m the web psychologist, and today I’m on Whiteboard Friday. So I’m going to be talking with you about web psychology, which is a term that I coined in 2011 to describe the empirical studies of online behavior.

It draws from various different fields. It’s a point of convergence for any type of research that looks at online behavior, so things like human-computer interaction, cross-cultural psychology, which is a very, very interesting area, social psychology, how we relate to other people both in groups and on a smaller level, advances in neuroscience, how we can use neuroscientific studies to tell us about how we respond online at a brain-activity level, and as a subset of that, neuroaesthetics, so to visual stimuli. We also got cognitive psychology and things like attention online, that tends to be quite limited, and how to make the most of that attention, and also behavioral economics, which looks at why we behave in seemingly irrational ways online.

All of these different disciplines and many more give us different glimpses into how online behaviors are shaped and can be affected.

In the research for all of this, it was actually for a book that I wrote called “Webs of Influence,” which is looking at the psychology of online persuasion. In all the research that I did, I found that there were three key things that you had to be able to do or to think about and to act upon in order to be successful online.

So there are three secrets to online success. The first is to know who you are targeting. The second is to communicate persuasively, and the third and final one is to sell with integrity. So I’ve broken these down a little bit so that we can have a little look at some of the elements that make up these three pillars.

So let’s start with number one—know who you are targeting. It’s really, really important that you research your audience, especially if it’s an audience that you think that you’re familiar with, because doing research will uncover things that will always surprise you. So I like to start with the most basic of things or the most complex of things, which is the human brain.

What systems are we engaging online? I like to think of it in a metaphorical sense. So you have the logical, which is where we like to think we make decisions, the emotional, which is where we actually seem to make decisions, and then the primal, which is freeze, fight, and flight, sex, food, motion, it’s the thing that keeps us alive. So we start with a human brain, and if you have an understanding of how we work, then you can start looking at the psychology of decision making. How do we make decisions, both on and offline? How does that influence what we end up doing versus what we say we might do.

You also then have to look at who’s online and why they’re there. It’s not enough to have an idea about just the people that you think you might like to target. But broaden your scope. Who else is on there that you think would be interested in what you have to say?

Once you’ve figured out who’s online and why they’re there, figure out who you specifically are targeting, and you have to narrow this down to make sure that you have a clear enough idea of the persona or personas that you’re trying to engage.

Once you’ve narrowed it down to that point, you have to look at two really key things. Number one, the cultural context of that audience. So are they from a culture that is very high in collectivism or in power distance, the degree to which we accept and expect unequal power distribution? If you’re interested in that, there’s some fantastic research by a guy called Geert Hofstede, who is a professor of psychology who spent 40 years looking at cultural dimensions. You can find him online. So looking at the cultural context of your audience and then their individual psychology.

So things like individual psychology can mean their gender, personality traits. If you’re going to look into personality, check out the big five, the five factor model. It’s a lot more accurate than the other models typically. Also things like age, you can also look at the types of clusters of traits that they exhibit in terms of the preferences for online platforms, behaviors. You can really go to quite a strong degree of granularity on that one.

So that gives you a quick overview of some of the elements in section one of knowing who you are targeting.

The second pillar, to communicate persuasively, it really rests on the idea that we tend to prefer to engage with and trust people who are able to make us feel like we have a connection. That’s a no-brainer. Research has shown that there is a subset of motor neurons in the brain, called mirror neurons, that activate when you see someone else doing a particular action.

So if I suddenly had my arm chopped off, hopefully if you’re empathetic, your mirror neurons would kick in, and you would hopefully feel a sense of wince or pain in sympathy with me. The reason I’m telling you this is because to communicate persuasively, you have to trigger other people so you can literally get on the same wavelength. If you can do that, you’ll be able to convert much more effectively.

So there are different ways in which you can approach this. Most of you might be familiar with Maslow’s hierarchy of needs, so things like safety, physical safety, food, shelter, love, all the way up to self actualization. There are ways in which you can help people to achieve these things online. You can do it through all these different elements—your website, your images, your videos, your color, and your social work.

Websites, very interesting, you’ve got a huge amount of stuff that influences how people react to you on the website. Things like the fact that we will subconsciously scan a new website for cues as to whether or not we can trust that site when we first visit. These can be things such as padlocks, showing that your information will be secure. It can be things like authority figures endorsing your website.

It could also be stuff that moves into the realm of colors. In color psychology, there are two main colors that seem to have fairly universal effects on the human psyche and emotional state, and that’s red and blue.

Red tends to be very high arousing, raises up our heart rate, and it makes us a bit more stimulated. Blue tends to have a similar but opposite effect. So the opposite effect is that it calms us down. We feel like we can trust the person whose site it is, which is probably also why the Fortune 500 and financial sectors use blue typically as their main brand colors, because it calms us down.

Another weird fact about blue is that it kind of warps our perception of time. So if cultural audience is based somewhere that has very low Internet speeds, make your color blue, and they will perceive the speed of the website as loading more quickly.

Videos, things like body language are very, very important. Having a more open, natural, slightly more expansive body language can be quite useful. Again, you’ve got to check that against culture. The images should always reflect the audience that you’re trying to reach. So I’m going to use a London example. If you’re looking at reflecting Shoreditch hipsters in East London, then you would want to use people in your images and your videos that reflect those traits. So the kind of jackets that they use and the metro look and the rest of it.

I’m not going to go into social right now because its way too complex and it would take forever. But you get a sense of some of the things that are involved in effective and persuasive communication.

The third and final pillar is about using psychological techniques to sell with integrity, and the reason I’ve put integrity in there is because it is absolutely key. But if you’re nudging people towards taking certain behaviors, you do it in a way that is authentic and that their best interests as well as your best interests at heart. Good business is where you get the intersection between what’s good for you and what’s good for your audience.

With that in mind, I’m sure some of you will be familiar with Cialdini’s six principles of persuasion. You can also use these online. There is a fantastic group of people in the Netherlands who are doing this. They’ve created a thing called persuasion API that actually tracks which of these principles are more effective on certain people. That’s quite fun to check out.

The other thing that’s key in terms of using these psychological principles, but in a way that is going to be not manipulative, so doing it honestly, is to build up your reputational capital, so getting people to trust you. That can mean everything from getting social proof, so that’s kind of a herd mentality, game of numbers. If I have 5,000 followers on Twitter and you are a new Twitter user and you come on and you see my profile, you’ll think, oh that’s 5,000. It’s indicating that probably she’s all right because that many people have liked her already. Things like that, so ratings, social media followers, testimonials, that helps obviously to build your reputational capital.

You can increase your sales also using certain techniques, such as things like bundling, bundling items together, having flexible pricing, which you have to do carefully. So there was a bit of a furor—I can’t remember which site it was and I don’t want to get sued, so I’m not going to mention it—where people were basically being pitched more expensive holidays when it was known that they were on a Safari browser because it meant that they were a Mac user and therefore probably more likely to part with cash.

So there are ways in which you can use sort of pricing strategies that are better than others. That’s an example of a bad way to do it. A better way to do is the way the airlines do it, for instance. So when you’re sitting on a plane, the person next to you may have paid twice as much for their seat, but that’s probably because they booked three months after you did. So because you got there early, you paid less, and that’s a strategy to get the prices of the seats paid but sort of tiered.

So there are various things you can do to increase your sales. Also ratings are very important. You’re 20% more likely to buy an item that’s been rated versus non-rated. It leads in nicely into the next point, which is around pricing and value.

We have a general pricing heuristic, which says that the more expensive something is, if we don’t know anything else about it, the more likely we are to attribute high value to it. So if it’s more expensive, it’s better value. That’s when we have a limited amount of knowledge on an item. So that’s something for you to consider. If you want your thing or your service or your product to be perceived as more valuable, you can up the pricing within reason.

B. J. Fogg, one of America’s very fabulous researchers and psychologists, came out with this fantastic model called the behavior chain, which shows you how you can use psychological steps or a process to get people to the end point where they buy and further on. I would highly recommend that you check that out. That’s a really useful framework to implement some of these strategies.

The final one I want to mention is around risk, trust, and privacy. The biggest barrier online to purchasing or to giving away information is the sense of risk that we have around our trust being violated. How private is my information? How secure is it? Easy things to do here are to not ask for too much more information than you need and to make sure that you have a disclaimer that says you will treat everyone’s information with privacy and respect and that you won’t pass it onto any third parties.

I hope that is enough of a quick whiff around. Those are the basic three pillars. But ultimately there is one golden rule that you have to follow, and it takes this form. So, number one, research your audience. It doesn’t matter who they are, research who they are. That means that you can do things like on SurveyMonkey or some questionnaires. Qual and quantitative stuff is brilliant. Find out, do your research, and that will form the foundation for your online endeavors.

Number two, once you’ve got your research, test your hypothesis. If you know that your research shows you that these are 18 to 30 year old hipsters in Shoreditch and they’re likely to like these sorts of preferences and they have this cluster of personality traits, create something and test that hypothesis and see if it pans out.

Third and final step, analyze your results and evolve accordingly. Okay. Well, that’s pretty much it. So then you just repeat the cycle, and if there’s ever a gap in your knowledge, go back to the first point and do some fresh research.

Ultimately, that’s it. Web psychology, it rocks. Peace out.

Video transcription by Speechpad.com


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