Posts Tagged ‘Josh Schwartz’

Understanding Your Traffic Sources, Part 5: Conclusion

December 17th, 2013 by Josh

For the final installment of our series on Understanding Your Traffic Sources, I wanted to go over some best practices for managing referral traffic and identify a few places where you can use Chartbeat data to support your decision-making.

But first, let's sum up the data that we've seen over the past few weeks. The graphic below shows what sort of browsing behaviors are indicative of visitors coming back to your site, based on many sites' most common traffic sources.

At one extreme, we have visitors who come to your site homepage direct and are always likely to return. At the other, those who come via Google News are unlikely to return, regardless of how they read. In the middle, though, we have an interesting split:

  • Visitors who come from Facebook are likely to read most of the article they land on, but those who click to a second article are much more likely to return

  • Visitors from Twitter and Google search, on the other hand, consuming the entire article they land on is the best indicator of a likelihood of returning

Traffic from other, smaller sources tends to behave much like Google News or Twitter traffic in this graphic. Now that we have a sense of how different kinds of referral traffic behaves, I’ll dive into right into what actions you can take with this data.

Where, and how, to concentrate your efforts

One of the starkest data points we've come across is how much more likely a person is to return to a site via the referrer they come from versus all other referrers combined. Those who come from Facebook are likely to return only via Facebook, those who come from Google News are likely to return only via Google News, and so on. In that sense, the most important thing you can do to grow audience from a given referrer is maintain a steady stream of links from that referrer.

Given that, you should ask two questions. First, what sources should we concentrate on building traffic from? Second, what can we do to build that traffic?

The best way to decide the former, if you're a Chartbeat Publishing client, is to take a look at the "return rate" and "return direct rate" columns of your Weekly Perspectives. Those columns express, in essence, the value of links from different referrers — those with higher return rates send traffic that's more likely to return to your site.

If you don't have access to Chartbeat Publishing, the general trend that we've seen is that, unsurprisingly, visitors from social sources have the highest likelihood of returning, while sources like Google News, Reddit, and Outbrain are likely to increase your site's reach by sending new visitors, but are unlikely to meaningfully help you grow your audience in a self-sustaining way.

The second question, of course, is much harder to answer in broad terms. Taking each traffic source one-by-one, though:
  • Twitter: One thing we've seen many times is that people don't promote posts nearly as often on Twitter as they should. Most sites see the majority of their Twitter traffic coming from their own tweets, and the lifetime of a tweet is incredibly short. Tweeting headlines is rarely the right choice.

  • Facebook: Facebook traffic typically comes from organic sharing, which means it's harder to predict and control. One thing you can control is Facebook's preview text, and it's hugely important. If you don't know what text is showing up on Facebook's previews, you need to figure it out.

  • In-network sites: If your site is part of a network, working to maintain links from your sister sites is critical. It’s not uncommon to see return rates over 50% (about twice as high as for typical referrers) for in-network traffic, which is a function both of similarity of audience and of the regularity of links. Fostering these types of link partnerships is one of the best ways to sustainably build audience.

  • Google: First off, it’s critical to separate “branded” search (searches for your domain name or URL) from truly organic search and Google News. Branded search should be thought of as akin to direct traffic. Optimization for organic search is a huge topics unto itself and probably beyond the scope of this post.

A caveat for paywall sites

One place where sites often miss out is with paywalls that are porous for traffic from external referrers, only presenting a prompt to subscribe on later pages. Under that scheme, a visitor, for instance, who always comes from Twitter and only read the article she lands on will never even be asked to subscribe. We've seen some publishers move toward differentiated paywalls for exactly this reason -- traffic from some referrers is immediately asked to log in while visitors from others are allowed to read an article or two for free.

If that fine-grained control isn't in the cards, your goal should always be to get visitors to read through to a second article. Looking at "subsequent time" in your Weekly Perspectives should give you some idea of which referrers send visitors that are likely to click to a second page -- concentrating on getting traffic from these referrers makes sense. And, understanding where people are leaving each article will give you a clue into where you should be placing link suggestions. Great related links at the top of an article aren't in view for visitors who read the whole page, and great links at the bottom of an article don't matter to those who never scroll down to see them.

Wrapping up

We've hardly scratched the surface of what can be said about traffic sources. Much of the most exciting data is easiest to find under the hood of your dashboard – the data that's specific to your site, not the internet as a whole. We're working on putting out several case studies that look in detail at traffic for a few sites, which we'll be sure to let you know about here once they go live.

In the meantime, thanks for reading, and if I can leave you with one message it's this: experiment!

What we've presented over the past five articles are broad statistics about traffic across the internet, but we regularly see sites that wildly depart from the average. If you see a return rate of 10% from a given referrer, take that as a challenge and try getting traffic to a different set of links from that referrer and see if you can push next week's rate to 11%.

Let me know your questions or what you're seeing in your data in the comments here or by tweeting at @joshuadschwartz; I'll be sure to come back to your site if you get in touch.

Tomorrow, On a Stage Near You

December 5th, 2013 by Lauryn

Tomorrow, the Chartbeat bus is packing up, rolling out, and traveling all the way....uptown. Tony, our favorite CEO, and Josh, the best lead data scientist around, are going to be hitting NYC stages at two events and would love to see you there.

towcenter-event-logoJosh at Columbia's Tow Center for Digital Journalism

Columbia's Tow Center is hosting The Future of Digital Longform from 8:30a-7:30p tomorrow. Tickets are totally free and it looks like a stellar lineup. If you can take a bit of time away from the ol' newsroom, you should swing by.

Josh will be sharing data he's found while researching longform and interactive pieces -- pieces like The New York Times "Snowfall" and CNN "Taken" with substantially higher production cost and substantially more time required of readers are becoming more and more prevalent online. These heavy-investment pieces mean analytics are even more critical than usual. Josh will be talking specifically about how we define longform content, what consumption of longform content looks like, and how longform stories affect audience growth over time.

Tony at the Chief Strategy Office Summit

Today and tomorrow's Chief Strategy Officer Summit looks like a pretty action-packed day with folks from NASA, National Geographic, GE, Refinery 29 and everyone's favorite startup/CEO Chartbeat's Tony Haile closing out day two. He'll be speaking on how your company can and should adapt to the right metrics -- not simply traditional metrics we've long relied on.

He'll specifically be helping you industry execs at the summit to understand the metrics that matter to your business -- and those that don't, how to set up your organization and teams up to adapt autonomously (and in real time, of course!), and how to democratize data throughout your organization so your front-line teams can make smart, instant decisions. They're some of the core tenets of successfully living and working in a real time world, and we'd love to hear your take on them if you're attending or following along at #CSONY.

Hope to catch you tomorrow, but if not, do let us know other events you'll be at soon, and we'll be sure to pop by.

Understanding Your Traffic Sources, Part 4: External Traffic

November 19th, 2013 by Josh

This marks the fourth part in our ongoing series on traffic sources. If you haven’t already read them, check out the introduction and my analyses of direct traffic and traffic from social media.

Today, we’re going to be talking about traffic from external links — those unpredictable pickups from sites across the internet. Unsurprisingly, external referrers provides sites’ greatest volume of new visitors. They also provide sites’ greatest challenge in terms of generating actual engagement.

Types of external traffic

Broadly, we can divide external referrals into two camps: huge aggregators that send large volumes of traffic and incidental links from across the web. Let’s go through each in turn.

In any discussion of external traffic sources, Google News deserves its own special treatment. As opposed to the majority of traffic sources, where links are human-curated, Google News pickups are algorithmically generated. That means that while most sites can probably only expect a few pickups from major referrers on a given day, many sites have hundreds of articles linked on Google News — over the last two weeks alone, over 616,000 distinct pages across our network received traffic from Google News.

Because of its volume of links, Google News is a significant and consistent driver of traffic — you’re not going to get new pickups from most sites every day, but you can reasonably expect to get daily links from Google News. On the other hand, while a pickup from many external sites might presage a cascade of links from across the web, Google News pickups are not necessarily predictive of broader trends.

People who read Google News tend to do so frequently, which means that visitors from Google News come back substantially more frequently than average. On a typical site, over a quarter of visitors from Google News return in the next week. Very few of those Google News visitors who do return, though, come back to a site directly — fewer than 15%. That means that to attract these users back you have to concentrate on receiving a regular supply of links from Google News.

 

chartbeat external traffic quote

Perhaps the best example of a non-automated site that sends massive amounts of traffic is Drudge Report. Just over 2000 pages had traffic from Drudge over the past two weeks, though the total volume of traffic sent was roughly comparable to that of Google News. Visitors from Drudge rarely read more than one page in their visit and are exceptionally unlikely to return to a site — fewer than 15% of Drudge visitors to a typical site return, and fewer than 15% of returners come back directly. Drudge is perhaps the most significant example, but we see similar behavior across most aggregators. Indeed, large social sites like Reddit send traffic that’s typically even less likely to return to your site than that from Drudge.

Beyond the largest sources of external traffic, there’s a long tail containing all of the incidental links that occur. These links have such huge variation in traffic quality that it’s difficult to sum them up. The best guiding principle we see is that, unsurprisingly, visitors from similarly-oriented websites are dramatically more likely to engage with your site and return than those who come from sites unrelated to your own. Visitors on a left-leaning political site, for example, can be twice as likely to return when coming from another left-leaning site as opposed to a right-leaning one. That means it’s always important to consider external traffic spikes in context — a pickup from a referrer that’s likely to send high quality traffic might be worth doubling down on, whereas a pickup from an unrelated site might be best treated as a less significant event.

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Concerns for external traffic

We’ve consistently seen that people who come from external sources are: (1) very likely to be new to your site and (2) unlikely to return and extremely unlikely to return except via links from the same referrer.

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That means that you should interpret an external pickup very differently than a pickup on social or a page that’s getting its traffic from the homepage. To get visitors from Twitter, for instance, to return you might push them to follow you on Twitter, but no such mechanism exists for external traffic. External links typically denote interest a topic, as opposed to interest in your site in general. To that end, stories garnering the most external traffic should be thought of as inspirations for follow-up pieces. The rare external site with a high return rate should be thought of as a top candidate for a link partnership.

external site external traffic chartbeat

Of course, external sources’ extremely low return rates can also be taken as a challenge: if 3% of visitors from Drudge come back to your site and you can push that number to 5%, you could see dramatic growth in your audience. Compared to pushing Facebook traffic’s return rate up from 30%, that challenge might be relatively easy.

Next time
Over the past four pieces we’ve given a numerical breakdown of what traffic from each major source looks like. In our next, final piece, we’ll go over some major strategies that publishers are using to increase the traffic that comes in the door and strategies they’re using for audience retention. Stay tuned!

Understanding Your Traffic Sources, Part 3: Social Traffic

October 28th, 2013 by Josh

This post is part three in our ongoing series on traffic sources. In part one, I talked about how we classify traffic and introduced some basic metrics for understanding the quality of traffic; in part two, we dove into some details on direct traffic. Today, I’ll talk about traffic from social sharing.

Overall, about 26% of traffic we measure comes from social sources — Facebook, Twitter, and email, for example — making social the second most significant source of traffic, next to direct. In some sense, social traffic and direct traffic represent polar opposites: Visitors who arrive via your homepage are, critically, people who intended to visit your site specifically rather than a particular piece of content. Those who come from social sources may or may not know what site they’re landing on, they’re coming because of an article that’s been recommended to them. That’s a double edged sword. On the one hand, social visitors are more likely than other visitors to actually read the pages they land on; on the other, they’re also amongst the least likely to return to your site, and when they do they’re very likely to only come via the same social channel.

Social is also categorically different than other sources of traffic because it’s the only channel that’s easily influenced — while converting visitors to come directly to your homepage is an art and affecting search engine placement leaves much to chance, we can actively choose which articles we put on social media and when to provide those links.

Demographics

Before we talk about evaluating social traffic, it’s worth discussing what sort of visitors come from social sites and how they read. First off, social sources are a better than average source of new visitors: while an average of 31% of a site’s traffic comes from new visitors (those who haven’t visited in the past 30 days), an average of 41% of social visitors are new.

 

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Social traffic is also dramatically more mobile-based than all other traffic — an average of 25% of traffic is on mobile, but on many sites over 40% of social traffic is mobile. That should affect what stories you push to social media, and when you push them. We’ll cover both of those topics below.

 

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Social engagement versus on-site engagement

People frequently take social media interactions as the de facto standard for “engagement” with a piece. The idea is that people who share a piece are likely to have enjoyed it. While there’s some kernel of truth here, our data suggests that there’s more to the engagement story than raw counts of tweets and likes.

Take a look at the graph below, which was first presented in Slate:

This graph shows how fully people read an article (as measured by how far down the page they scrolled; all articles shown here were over 3000 pixels high), compared to how frequently they tweet about it. If the most engaging stories to read were the stories that were most likely to be shared, we’d expect this graph to look like a line. Instead, we see that there’s essentially no correlation between the two numbers. That doesn’t mean that social interactions are a bad way to measure engagement, but it does show that social engagement and on-site engagement are often different phenomena.

Timing of social posts

So, what makes for successful social content? There’s been much written about how to write successful social posts — most recently, I read a great study by Knight fellow Sonya Song and its more concise writeup on Nieman Lab. It’s beyond the scope of this post to tackle what content to put in your social posts, but one question we’re frequently asked is what time of day is best for social sharing. Below is a chart showing how social traffic compares to overall traffic across for a set of sites (all of which are based in EST) across the past week.

Unsurprisingly, the shape of social traffic closely follows that of overall traffic, but it’s notable that social traffic substantially underperforms overall traffic from about 5am to noon, and social substantially overperforms overall traffic from about 3pm until 1am. From the perspective of driving traffic to your site, it appears that late afternoon through night is the best time to reach your readers on social media and get them to click through to your site.

 

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Interestingly, this trend appears to be true despite people’s best efforts to the contrary. Below, we see a graph of how frequently these sites posted to Twitter, compared to their social traffic.

 

Posting to twitter is strong all morning and reaches its peak just before noon, even though traffic from social is actually its strongest later in the day.

Return frequency

While we’re discussing timing, it’s worth noting that visitors who come to a site from social sources do so an average of 1.5 times per week. Below we see the distribution of how many times a visitor comes from social sources across a week.

About 82% of visitors who come from social only come once, but there’s a long tail of people who come two or more times.

As mentioned above, almost 80% of visitors who come to your site from a social source will only come to your site via that source. That figure is particularly bad for visitors from Twitter, of which only about 16% will return to your site directly. These are fairly significant numbers to consider as you decide where to invest time and resources into developing your audience.

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Conclusion

This post barely scratched the surface of what can be said about social media — entire companies exist to help optimize social strategy — but I hope it started you thinking about how social sharing relates to your site’s overall traffic. We’ll save further discussion of social traffic for a future post; in the meantime, stay tuned for the next post in our traffic sources series, where we’ll cover external and search traffic.

Questions? Throw them in the Comments section and I'll respond.

 

Watch This: Chartbeat Data Science at DataGotham 2013

October 23rd, 2013 by Juliana

Chartbeat Data Scientist Josh Schwartz spoke a few weeks ago at DataGotham about his series of lab studies on how users read content – and how that research drives insights across our network.

You can now watch his talk in this blog post or on YouTube and get the scoop on what we're cooking up these days in the Chartbeat Data Science Lab.

Got a question for Josh? You can reach him here.