Posts Tagged ‘lijit stats’

How to turn your hobby into a business: lessons learned from Lijit publisher Kurt Kohlstedt

Longtime Lijit publisher Kurt Kohlstedt is the Founder and Executive Editor of Webist Publishing and Misnamed Media. His collection of sites include WebUrbanist, WebEcoist, Dornob, and Gajitz – which each have their own theme relating to creative, innovative, and sustainable art, architecture, and design.

Kurt is the quintessential mid-size Lijit publisher who has used online advertising to successfully transition his hobby into a business. Read on to learn how Kurt got his start and how he built his business using analytics and online advertising.

How did you get your start in the world of online publishing?

I was finishing my graduate degree in architecture and slowly began to realize that I was equally interested (if not more) in writing about design as I was in becoming an architecture professional. It was at that point I decided to give online publishing a shot as a full-time career. I built an audience by testing out various topics and found a nice balance between what I liked to write about and what people liked to read. I launched my first site, WebUrbanist, in the middle of 2007.

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Using analytics to understand your audience, learn about your traffic, and make more money

As a marketer, I’ve used Google Analytics for years. The problem with Google Analytics is that it provides too much information… so much that very few people know what to do with it all. It often comes up in conversation with our publishers, and they all agree.

Lijit’s goal is to provide an easy-to-use alternative to Google Analytics so we held a roundtable discussion with 15 publishers to learn about the most beneficial data for their site. Everyone agreed that “actionable analytics” are what’s important. Publishers don’t want or need every last detail about their website and traffic. What they do need is relevant data they can use to grow their site and make more money.

The premise: the more you know about your audience, the more you can tailor your content to meet their needs. This engages your audience which helps increase pageviews and grow traffic. The more traffic to your site, the more money you can make from online advertising.

We have recently done a lot of work at Lijit to enhance our Audience Analytics and focus on what we refer to as “actionable analytics” – meaningful and actionable stats that help you grow and monetize your site. For those of you who may not know about all the data we provide, you can each log into your personalized dashboard depending on the type of Lijit services that you use. Data includes:

  • Audience demographics: age, gender, ethnicity, income level and education.
  • Advertising performance: stats on ad requests, ad impressions, CPM, fill rate, and earnings to help you optimize revenue.
  • Audience understanding: data on pageviews, geography, referring sites and searches, top posts, outbound clicks, and other sites that link to you.
  • Search intent: statistics relating to number of searches, top searches and last searches, top clicked results and last clicked results, and searches that returned no results.

For those using Lijit’s advertising services, an ‘Ads Today’ section provides trending data comparing the current day’s ad performance to performance one week and one month prior.

Check out the cool interface:

Search Dashboard

Ads Dashboard

To download Lijit’s Audience Analytics, click here. Please let us know what you think – we’re always looking for feedback!

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Lijit Product Updates: Reader Demographics

We just completed another round of updates and improvements to our publisher products. We’re putting a lot of energy behind building out our ad services and publisher analytics and we’re expanding our offerings with every software release. So what’s new?

Reader Demographics:

The most important part of being an online publisher, is understanding your audience. On top of all of the other great audience analytics we provide to help you understand your readers, we now offer reader demographic data right inside your Lijit dashboard. This new statistic allows you to see the overall makeup of your online audience, and further understand who you are creating content for, and the demographic distribution of people frequenting your site.

Why are demographics important?

  • Understanding your readers

The best way to effectively create relevant content for your readers, and to attract new readers, is to know who they are. Understanding the makeup of your audience is key to ensuring you are producing content that will engage and resonate withyour audience.

  • Monetizing your site

Advertisers looking to reach the right audience for their online display advertising campaigns always consider demographics when making targeting decisions. You will be better equipped to attract and sell advertising for your site if you understand the demographic makeup of your audience

Check out your dashboard to see the demographic makeup of your site and start down the path of better understanding your readers. Just goto www.lijit.com, login and check it out at the bottom of your Lijit dashboard.

Other News:

  • Removed MyBlogLog support

We removed support for MyBlogLog and disabled it’s use as a content and network source for publishers who use our search engine services.  MyBlogLog had a great run and was a key integration partner in the early days of Lijit. Yahoo is shutting down all MyBlogLog services at the end of May, so we decided to deactivate it on our side before that happened.

  • Welcome Widget support

We made the difficult decision to “end-of-life” our Welcome Widget product. Publishers who previously used this feature will no longer see a UI to manage settings for the Welcome Widget, and we automatically disabled the functionality it provided. We’re always looking for ways to enable our publishers to better engage their readers, so keep an eye out for more site tools and functionality in the future.

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Lijit Study Shows Publisher Adoption of Social Media Tools Grows 80%

Over 15,000 sites on the Internet use Lijit’s advertising services, on-site search tool, and other widgets (analytics widget, recent readers widget, related content widget). Analytics are built into all of our tools but we do not sell the data. Instead, we feed it back to our publishers to help them better understand their audience and monetize their site. We also aggregate the data and use it to optimize CPMs and fill rates for our publishers.

Over the last few weeks we ran a detailed analysis to see what widgets are most often deployed on publisher sites across the Lijit network. We compared 2009 and 2010 data to identify market trends. Outlined below are some of the most interesting takeaways.

Background:

  • 2010: 735,834 sites surveyed, 84.8% with widgets installed (13,541,022 widgets)
  • 2009: 744,848 sites surveyed, 84.7% with widgets installed (13,826,562 widgets)

Key research findings:
The Lijit Top 50
Below is a list of the top 50 widgets and tools implemented on publisher websites. The adoption of social media widgets – including tools used for social networking, micro-blogging, bookmarking, and photo sharing – grew 80% from 2009 to 2010. Widget adoption specifically related to Facebook and Twitter almost doubled, growing from 6.96% to 11.86%.

Additional analysis revealed the following trends:

  • Many content and engagement tools joined the Lijit Top 50 list for the first time in 2010. These tools include Twitter’s image sharing service, LinkWithin, Wibiya, and Tynt.
  • Related content tools to keep readers on-site longer didn’t make the list of Top 10 tools in 2009 but are now being used by 3.68% of sites surveyed.
  • Online advertising services continue to track at a 20% adoption rate; however, new monetization tools used in affiliate marketing programs such as Skimlinks, Infolinks, and Amazon saw a 16% increase in 2010.
  • Audience analytics tools from Quantcast are becoming much more prevalent. Over 44% of the sites that use analytics use Quantcast to gather reader data, representing a 15% year-over-year growth.
  • Website commenting systems now integrate social media components. Disqus, used on almost 75% of the sites that use a 3rd party comment provider, now supports social media commenting and sharing on Facebook and Twitter. In addition, Twitsteps, a Twitter-powered commenting system, now ranks the second most widely used commenting system after growing 356% in 2010.

Referring traffic
Three main categories of referring traffic data were analyzed: 1) search engine traffic; 2) organic traffic (defined by sites linking to each other); and 3) social media traffic. A deeper look at referring traffic from social media sources verifies that both social networking tools like Facebook and Twitter as well as social sharing tools such as StumbleUpon, Digg, and Reddit are being used to drive traffic to publisher websites.

Referring traffic to websitesSocial media traffic to websites

For additional insights into our research analysis, please read our press release, “Lijit Networks Announces Results of 2010 Publisher Tools Analysis.”

Our methodology:
Our definition of “widget” is “any regularly-occurring functionality on a website powered by an external service, voluntarily installed by the site owner, and powered by Flash or Javascript.”

  • “Functionality” includes analytics widgets. These add functionality for the publisher but are invisible to visitors.
  • “Voluntarily” excludes widgets automatically added by the hosting platform. We are only interested in widgets that publishers make an effort to install.
  • Image-based badges, such as FeedBurner subscriber counts, are not counted. HTML forms, such as the original Google search boxes, are also not counted. We may include support for these in the future.
  • Our crawl is “centered” on sites with the Lijit widget (ad tags, site search and other Lijit widgets). Our crawler then expands outwards by following blogrolls and other linked sites. This may skew the overall results since research originates from sites within the Lijit Network.

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DNA of a Lijit publisher

We recently conducted a survey of Lijit users to learn more about the products, services, and resources we can provide to help our publishers engage their readers and monetize their site.

There was a bunch of interesting information we learned from the 180 surveys we received. Below is a snapshot of our findings.

Who uses Lijit? There was a surprisingly even breakdown between those who write for fun, those who write to make a little extra money on the side, and those who do it for a living:

How do you consume information? We wanted to see what tools our publishers use to learn about their craft. What did we find out? Publishers are hungry for almost any tool – both online and offline – as long as it helps them get better at what they do! Here’s a breakdown in order of priority:

How can Lijit help you become a better publisher? The number one thing our publishers asked for from Lijit was tips for promoting content. Over 70% want to learn more about SEO and social networking. The next most important thing? Staying up-to-date on Lijit news and learning how to better leverage our tools and services… now that’s music to our ears!

What are we doing to help? We’re working on a newsletter, videos, and other tools that provide Lijit news/tips and best practices for promoting your content, monetizing your site, and better engaging and understanding your readers. Stay tuned for more information…

What put a big smile on our faces? An astonishing 70% check their Lijit stats at least once a week! Lijit search stats provide helpful information on a site’s readers – who they are, where they’re coming from, what they’re searching for. For those using our ad services, ad stats provide details on fill rates and CPMs so you can optimize revenue.

What was the biggest shocker? In a world consumed by social media, when it comes to getting company updates over 60% want to receive information through email. Email was the chosen method of communication over our blog, Facebook page and Twitter feed. It looks like email isn’t going the way of the dinosaur after all!

What other takeaways? We’re proud of our publisher partnerships and thankful to those who provided comments on Lijit. Our product team is reviewing your feedback and will be rolling a bunch of it into our 2011 roadmap.

If you didn’t take the survey and have some thoughts you’d like to share, please give us a shout. Thanks for your support!

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The new Lijit iPhone app has arrived!

Yesterday we released the latest revision of the iPad app, now with full support for the iPhone and iPod Touch. Now, no matter what iDevice you use you can stay up to date on what is happing on your site in real-time!

This project has been a lot of fun. We had a few different reasons for experimenting with this platform so I thought I would give a little insight into this thought process.

First, of course, was the publisher use case outlined in my first blog post. It’s difficult to be an individual publisher because by definition you are forced to be jack of all trades. Most high profile and influential publishers are great content producers. They write things people want to read. Lijit’s publisher app helps publishers keep on top of real-time traffic behavior. Now, they have the freedom to attend to other things in life while still keeping their finger on the pulse of their site.

Secondly, we wanted to explore an alternate stats metaphor with the app. All existing stats packages tend to be roll-ups of past activity, telling you what happened yesterday rather than right now. We wanted to play around with the idea of experiencing statistics as they happen. Some of these features we are planning to roll into the web dashboard. The mobile platform gave us the opportunity to experiment in a sandbox outside our production environment and with more UI freedom than we had with the web version.

Finally, we wanted to lay a foundation for an entirely new level of audience information we could provide our publishers. In the coming months we will be rolling out more global audience information that we have insight into because we power search and ads on so many different publisher sites. We are pretty excited to make this larger body of information available to our publishers in a consumable and actionable way. Your traffic stats will expand to include more specific information about your readers including detailed demographic information and content interests.

We like to do something outside the box from time-to-time and the mobile platform for our publishers was a fun and interesting project. We intend to keep developing on the platform so that it remains valuable to publishers already using our web version. Drop us a note to tell us what you think.

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Launch of the Lijit Stats iPad Application

This week we are launching version 1 of Lijit Stats iPad application for publishers. In the coming weeks the iPhone and iPod versions will launch (the code isn’t quite done yet) with similar functionality.

I got the idea for this several months back when we were talking with some of the early adopters of the Lijit Ad Platform. A good number of publishers using Lijit to monetize their site are one man shows. They spend most of their time writing or curating great content for their site. It’s their full time job and they are keenly aware that when they stop, so does their livelihood. One publisher I spoke with mentioned that he was often concerned when he left his house for extended periods of time that he was losing situational awareness of what was happening with his traffic. For instance, one time one of his posts was featured on the front page of Yahoo. While this should have been a great event for him, it was bad because he didn’t know it and his site ended up crashing without his knowledge.

Another individual told me that it was a matter of knowing what was trending so he could take advantage of it. For instance, when he starts getting a large number of referring pageviews for an older post, that usually means that subject is hot in the news again. He would like the opportunity to re-address the subject to capture those readers.

All these comments resonated with me. We had a full development queue so I decided to pull the CEO/founder card and light this project up as a skunkworks project. As these things go, it grew to a roar of development in the last week trying to get it done for BlogWorld this weekend in Las Vegas. Thanks to our committed development team and the promise of the 12 pack of Bud for its safe delivery we got our final build done this last Friday and submitted it to the App Store Sunday. Our previous build was from a week earlier so we are in a dead heat to see if the latest gets released by Apple before this Friday!

As Chief Beta tester I used the app all weekend to track the traffic on my blog. My blog is pretty small but receives a fairly constant stream of pageviews around the clock. This summer I saw several stops on the RUSH Time Machine Tour which I have documented on my blog. All summer I have watched my Lijit stats tell me that my main referral is from Google for “rush time machine tour”. As the weeks passed by I watched my traffic shift from city to city as the tour progressed through the US.

This weekend as I watched my real-time stats on the iPad I started to see an increasing number of pageviews coming from locations in San Paulo and Rio De Janeiro Brazil, the tour’s final stops. This weekend is the last show of the tour in Buenos Aires, Argentina and now I have started to see page views from there as well.

Another cool feature of the Lijit Stats iPad Application is the integration of automatic IceRocket queries for my blog URL. One of the reasons I receive so many hits for RUSH is due to my mention in another more heavily trafficked site, RushIsABand, that linked to me after the opening night in Albuquerque, NM. The ticker along the bottom of the app shows the last chronological mentions of my site.

While my use case for the Lijit Stats iPad Application is certainly less mission critical than our devoted publisher base, it’s awfully fun to watch readers hit my site in real-time. I am super excited by the way this turned out and I think it makes a great platform to build on as we add more situational awareness to the world of publishing.

Give it a try with your Lijit account, it’s free in the App Store and super cool. If you are at BlogWorld this weekend, stop by the booth (#324) and register to win an iPad – we are giving one away each day. Get a demo and if we are lucky we will have the beta iPhone and iPod versions to see there as well.

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Need to know more about Lijit stats?

Today, I’m guest-posting over at one of our publisher’s sites, Elementary Spirits, discussing this very topic.

If you’re unsure about how to interpret some of our stats, I’m breaking it down for you over there. Check it out and if you have questions, be sure to leave a comment on Barb’s blog!

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Lijit contributes analysis to Technorati State of the Blogosphere 2009

Every year, since 2004, Technorati has published the State of the Blogosphere report. The State of the Blogosphere report is considered the best up to date source of information about size, motivations, and practices of long tail publishers.

This year, Lijit helped Technorati by supplying some information from within the blogs that make up the Lijit Network. Lijit performed the analysis on the raw data and only supplied the aggregate insights documented in this post.

Analysis was centered on four distinct areas of interest including Search Engine Referrals, Blogroll Promotion, the Impact of Twitter, Advertising and Analytics.

Methodology

Data for this post was collected from two primary sources both directly collected by Lijit.

The first source of data was the ~11K active Lijit publishers that have the Lijit Search Widget installed on their publications. Lijit builds a unique search corpus for each publisher. This search corpus includes the publisher’s publication, his user-generated content, and the network of the publishers who influence the publisher (i.e., his Blogroll). This network of influencers results in a crawl footprint of over 2.5M publications that we actively index in order to maintain the search functionality on the 11K publisher sites. The second source of data used in this post comes from information gathered on those 2.5M sites in the extended network.

Data was reduced to something we refer to as the ‘typical publisher’. For some measurements, some publishers were omitted from the sample when in our opinion the specific publisher or publishers represented a singularity in the data that masked the typical publisher substantially. In addition, for some of the analysis points, we removed publications with less than 100 page views a day. Where lower page view publishers were removed we point it out. As page views drop into lower numbers some of the data begins to skew and it begins to get difficult to distinguish active and inactive publishers.

Search Engine Referrals

A typical site within the Lijit publisher network receives 27% of its page views from clicks on results in horizontal search engine result pages. As expected, the highest single source of referrals to the typical publisher site is Google at 23.5%. Yahoo and Bing were next, accounting for about 3.2% of referrals. Twitter and Facebook were nearly identical and total about 1.6% of traffic.

Google 23.52%
Yahoo 2.15%
Bing 1.07%
Twitter 0.83%
Facebook 0.80%
MSN 0.02%
Direct to Site 21.50%
Site Self-References + Other Sites 50.02%

Lijit categorizes publications into 23 topical/vertical subject areas. The Tech vertical saw the highest percent of page views from search engine referrals at 41%. The remaining topical areas were fairly consistent with regards to percent referrals.

The percent of page views that come from search engine referrals is fairly constant with the audience size of the publication. The exception to this are publications of less than 100 page views a day that receive a slightly larger percent of page views from search engine referrals at around 30%.

It’s unclear why smaller publications get a larger percent of page views from search engine referrals, but may be linked to the ever growing length of horizontal search engine queries. According to a Hitwise January 2009 Search report, over 50% of queries are now 3 terms or more on the major horizontal search engines. This suggests that as the length of the average query string gets longer, more referrals get passed to smaller publications due to the specificity of the queries. This is a positive trend for smaller publishers.

Blogroll Promotion

Based on the 2.5M publications crawled by Lijit, the number of blogs in the average blogroll is 47, a surprisingly high number. Although not always a prominent feature on a publisher’s site, cross promotion of bloggers by other bloggers is clearly a significant factor in publication readership growth.

The typical publication within the Lijit network of 2.5M sites appears in 6.4 other Blogrolls. In other words, the typical blog is pointed to by 6.4 other blogs. The difference between a blog appearing in 6.4 other Blogrolls and pointing to an average of 47 other blogs is largely due to blogs pointing outside of the Lijit crawl footprint. The Blogosphere is a very large place.

The Impact of Twitter

Publications with greater than 100 page views a day received on average 0.83% of their page views from Twitter referrals. This percent tracked very closely to Facebook referrals at 0.80%. Publications below 100 page views a day saw a higher percent of page views from Twitter referrals than Facebook referrals.

Besides horizontal search engines, Twitter is the largest driver of referrals to the typical publication.

Lijit Search aggregates user-generated content that a publisher generates, into search results that display on the publisher’s site. Aggregating this content around a publisher’s site creates a stronger brand association for the reader with that publisher and site.

The most common user-generated content source included within a Lijit Search profile is Twitter. About 50% of Lijit publishers include Twitter in their Lijit Search results. This is a change from prior years. In 2007, 26.6% of publishers included Twitter as a content source in their Lijit Search results. In 2008, 42% of Lijit accounts included Twitter as a content source within their Lijit Search results. In 2009, 50% of publishers included Twitter as a content source within their Lijit Search results.

Twitter was by far the fastest growing content source to be included by Lijit publishers. Clearly, publishers embrace the micro-blog format. Going forward, Lijit intends to track the percent of publishers that use Twitter for blog post promotion as we suspect this number is quite high.

Advertising and Analytics

As Lijit crawls the extended network of publications, we track the widgets and tags we find on those publications. For the first time, Quantcast overtook Google Analytics as the most frequent analytics tag found on publications. This is likely due to Quantcast tags being included in some publishing platform templates.

Comparing 2008 to 2009, there has been a 68% increase in the number of sites with Ad tags installed. This indicates to us that monetizing sites is high on the priority list of most publishers.

Last year, when we ran the analysis, Google Ad tags made up 67% of the Ad tags found. This year that percentage has dropped to 47%, indicating publishers are experimenting with other Ad networks. This is probably not an indication of publishers leaving Google but rather publishers trying other Ad networks and using Google at the end of the Ad rotation.

More Data to Come…

With Lijit’s install footprint of 11K active installed base and a crawl footprint of 2.5M publications, Lijit is becoming the defacto source of information from within publications. Starting in 2010 Lijit will publish a more comprehensive study of what’s happening inside the Blogosphere.

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Context Brings The Right Answers

I just checked my TripIt account and so far I have been traveling for 25% of 2009. That means, having just started June, that I have been gone from Boulder for more than a solid month. (Well, not a solid month, more like a total of a month worth of days, but I bet you get it.)

Which also means I get a lot of time to read. Lately, I have been reading a book called The Know-It-All by AJ Jacobs. In the book, which is non-fiction, AJ reads the entire encyclopedia to become the smartest person in his family.

In many ways, I view Google, Yahoo!, and MSN (I mean BING!) similarly. They are out there attempting to catalog the worlds information so that when asked a question, they can provide you with THE one right answer.

Often, they do. But as time as passed and the information store has grown, context has been lost. When you do the search for “seal” what is returned? The animal? The singer?

Google Results - Seal

Google hedges its bets by displaying images of both, but guesses the singer in the results…

There was a recent article in DM News that search queries of three words or less were down 3%, 5% and 1% respectively, but that searches of four to eight words had grown from 3% to 20%.

In short, searchers have learned that to get relevant results, you have to use more than three words.

My friend Kevin Lee of Did-It was quoted as saying:

“Longer queries are a sign of the searchers becoming more educated and savvy and essentially being trained by the fact that results for shorter queries tend to return less relevant results than longer searches.” (emphasis mine)

Frankly, while not surprising, that boggles my mind. Searchers have learned that the major search engines are inherently inefficient and ineffective at applying context to a search query. How is this progress?

That major search engines are relying on the searcher to provide the context via additional keywords in the query.  How does that create a better search experience?

Which, of course, brings us to Lijit.

Across our network approximately 75% of the searches are three words or less. Why is that?

Because we allow the publisher to provide the context. Their readers, by going to a trusted source first, already believe that the results that are returned will be contextual to the query. Therefore, they don’t need to use multiple word queries to return relevant results.

How do we know that this is the case?

1) On average, we get a higher click through rate on organic results than people using Google Custom Search.

2) On average, we get a higher click through rate on ads than the industry standard for text ads.

So what is better for publishers?

The “one right answer” approach that the major search engines take, or the “every publisher has a right answer” approach that we take?

I suppose that is up to the searcher.

But, I can guarantee it will take less keywords in the query to find the answer on a Lijit publisher.

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The Second Click