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What Should Be In Your Top 300 Pixels?

Most "how-to improve web page performance" research is typically geared towards marketers and e-commerce applications, but it doesn't mean media types can't take valuable lessons from those insights and in fact some are doing just that.
Take for example a recent Omniture white paper on Best Practices for Conversion:
The New Engagement Funnel in 7 Steps includes a section on organizing your page and site structure. The key takeaways are:
  • Is your page clean, clear and visually appealing?
  • Does it load in less than 8 seconds?
  • Is your primary focus of the page fixed [not rotating]?
  • Are your critical calls to action in the upper 300 pixels of the page?
  • Does your pane view [visible page without scrolling] contain your most important content?
Then take a look at CNN and NYTimes story pages and they answer yes on all accounts. In addition, see their top 300 to 400 pixels? What calls to action do these content marketers (aka media outlets) push? Apart from a dominant ad position that pays the bills, these story pages target engagement around sharing and capturing user data via social login. This tells me that a user republishing their story or identifying themselves via social login are the homerun actions they're looking for.

(download)

Filed under  //   Best Practice   SEOmoz   calls to action   cnn   engagement   media   nytimes.com   omniture   seo  


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Search Driving More Traffic To Your Site

Search-driving-more-traffic-in

When evaluating the general health of your site, one of the first areas to review is your acquisition strategy ... to understand how people are arriving at your front-door?

I use the term "people" rather than "user", "customer" or "visitor", because it's important to remember these are more than referral stats -- they're warm, breathing humans that choose to visit your site. And they generally fall into three groups:

  • People who know you -- (direct traffic)
  • People who were recommended to you or your content -- (referral traffic)
  • People who searched for you or your content -- (search traffic) 

You could add other categories for people driven by ad campaigns or e-mail marketing -- but the above three are the biggies, especially for media sites.

Now, according to a KissMetrics post, which is based on Google Analytics data, of those three acquisition sources, search continues to grow. As the choices and access points for content evolve and expand -- search remains the quickest, simplest way to navigate most information inquiries on the web and is your best means to introduce yourself to new "people".

The 2011 Web Analytics Review infographic also notes an overall drop in Pages per Visit, Time on Site and Referrals from other sites. As people's attention continues to splinter and referrals from other sources drop, search becomes an even more attractive option to reach folks short on time, but hungry for information.

 

Filed under  //   acquisition   analytics   google analytics   infographic   kissmetrics   media   referrals   seo  


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How Do I Get My Visitors To ...

Bj-fogg-behavior-wizard

Changing behavior is one the most challenging missions a digital media team can tackle and yet it's the key component to digital businesses. In most cases we want the user to perform some action for the first time or more often such as -- buy our book, read our stories, like our Facebook page, share our video clip, register for our e-mail newsletter or share information about themselves.

If you have not heard of BJ Fogg's Behavior Model, you should check it out, it's super guidance for anyone designing digital destinations.If you're lazy like me and just want the answers quick, try this Behavior Wizard that allows you to gameplan for the specific type of behavior change you're targeting.

[One of the links above uses a Fogg Behavior Model strategy ... if you can guess it, leave me a comment.]

Filed under  //   BJ Fogg   Behavior Model   conversions   media  


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Wait ... Social Can Drive My TV Ratings?

Tv-viewers

 

Want to capture the attention of your news director or GM? Try closing the loop on your social media efforts with a reference to higherTV Ratings.

[Scene: GM crosses newsroom, digital director trails speaking with elaborate hand gestures. GM stops, head tilted, one eye squinting, ‘Huh? … Wait what did you say?]

That’s right, according to a Nielsen study, (see full report Nielsen -- Social Buzz Impacts TV Ratings) social buzz generated about a TV program shows some moderate correlation to TV ratings. Lost Remote quotes Facebook’s Andy Mitchell, that he’s “pretty confident” a recent USA Network promotion linked to “Psych’s” Facebook helped drive a 10% ratings increase.

The Nielsen study asserts the same stating that increases in what they define as “social buzz” -- a formula based on social mentions, # of authors and other factors – generates ratings increases on a scale as strong as 9 to 1 [9% increase in buzz correlates to 1% increase in ratings for certain demographics].

It’s not a silver bullet, but the framework for proof that social media’s impact on the broadcast partner is emerging.

Filed under  //   Andy Mitchell   Psych   TV ratings   USA Network   analytics   facebook   lost remote   media   nielsen  


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What Is The Best Day to Publish Content?

Facebook_sharing_by_day_of_wee

It's a good question, "What is the best day to publish content?"

It depends on your content, target audience and approach ... basically your digital strategy [if you don't have one, check out this post on building a web measurement model].

WHAT ARE YOU LOOKING FOR?

Let's assume you're a media site that generates 20% to 30% of your traffic from search and another 10% to 20% from social. That's a pretty good chunk of your audience acquisition that depends on others (ie. Google, Facebook, Twitter etc.)

So what if you could obtain greater exposure by analyzing what days generate the most referrals? Good start huh, because if you average 50 FB referrals on Mon., 62 on Tue., 64 on Wed., 48 on Thu., 52 on Fri, 22 on Sat. and 18 on Sun. -- that tells you something right?

It does, but not entirely.

To get a clear picture, you have to factor in how many pieces of content you're pushing out on those days. If you're publishing 95 stories on weekdays and 32 stories on weekends, that's significant. Therefore you want to know the referrals-per-story.

WHERE’S THE OPPORTUNITY?

Dan Zarella published a study on the ideal time to submit blog posts that states the ideal Twitter retweet sweet spot is Friday @ 4p ET.  He also claims that Facebook sharing is highest @ 9a ET and spikes significantly on Saturday.

This confirms data I've seen that stories published on Saturday generate approximately 60% more Facebook and Google referrals per story than those published during the week. Sunday stories show @ 25% more Facebook and 40% more Google referrals per story. The problem is that these spikes are often masked by the total number of referrals which are typically lower on the weekends.

HOW TO MEASURE REFERRALS PER STORY?

Your results may vary, so you should review your own metrics and build this formula. The trick is to compile total number of stories published for the year and break them down by day. In Excel you can apply a formula =WEEKDAY(A1) [A1 is your first date] to convert that date to a simple day of the week. Then you can apply a filter by clicking the header of the Day of the Week column you just created, click Data Tab and Filter button. That will allow to group your yearly data by all the Mondays, Tuesdays, etc. If that sounds confusing, read this post on using Excel's WEEKDAY function.

Once you have the year's stories published and referrals broken down by day of the week, you can build your weekday referral rate. Repeat for each day, and repeat for each source (Google, Twitter, Facebook or any other key referral source.)

(Monday Facebook Referrals / Monday Stories Published = [Monday Facebook referrals per story])

OPPORTUNITY FOR ACTION

The takeaway here is not, "don't publish on weekdays", but that there is a greater opportunity to be shared and ranked on the weekends, Saturday in particular. And content published that is geared towards a Facebook morning audience or Google topics could do significantly better during this time frame. It’s not a simple task, but it’s not rocket science either and worth the time, especially if you can generate more audience with no real extra work – just a smarter choice of publish times and content topics.

Filed under  //   Twitter   analytics   bing   content strategy   excel   facebook   google   media   referrals   seo   strategy   web measurement model  


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comScore's Got It Wrong ... Fix It!

Apple-watermelon-nerds

Apples and watermelons may be a good combination for Nerds, but terrible for analytics.

If you're in digital media measurement, you've probably heard this from your boss, "ComScore's got it wrong, our site has twice as many uniques. Have them fix it!"

Well, he/she is right; you probably do have twice as many. But guess what … in the end, it doesn't really matter [I'll explain why later], but first let's explain why they're different.

My favorite analytics guru Avinash Kaushik recently listed 7 common analytics mistakes and first on the list was ... "Never Compare Apples to Watermelons."

And one of the most common "Apples to Watermelons" examples I can think of happens in media measurement -- comparing internal metrics (Omniture, Web Trends, Google Analytics) to external metrics (comScore, NielsenNet, Compete).

There are 2 main reasons why this is a fruitless task ... let me count them.

1. Differences in the data source -- Most metric measurements are based off a specific data set. Typically it's the data the vendor or company has access to, has purchased or has built. Different sources will generate different results. Internal metrics generally rely on a javascript beacon that passes information. External sources don't have permission to drop a beacon on your pages, so they often use panel-based methods (large panels like Compete, or smaller targeted panels such as comScore).

Internal metrics depend on users' computers to accept cookies and run javascript. External metrics depend on mathematicians to extrapolate what 1 million people in a DMA do based off the actions of 200 monitored panelists.

2. Differences in the definitions -- a pageview is a pageview right? Well yeah, but what about reloaded pages, what about pages viewed by people not represented in panels, what about pageviews viewed from a mobile device? You can see how each source defines their metric by what they have the ability to count or estimate.

Great, then what's the solution?

Well, first is a discussion with your boss to help him/her understand that his competitors deal with the same 40% to 60% comScore metric discount that you do.

Second, measure yourself versus the competition based on same external metric source -- so that you're measuring "apples to apples". Then identify exactly how they compute their measurements and ensure your site is registered with all means possible. Adding tags to your site pages can aid a company like comScore or Quantcast in measuring your audience more accurately.

Third, measure your individual site performance based on the more detailed internal metrics. Focus on relative metrics like percentage growth, month-to-month and year-over-year. Focusing on magic number milestones can obscure recognition of true progress and serious problems.

As with most problems, there’s no black-and-white answer – but understanding the core issue is half the battle enroute to a more actionable strategy.

Filed under  //   analytics   avinash kaushik   comscore   google analytics   media   nielsennet   omniture   quantcast   webtrends  


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Google Draws From Greatest Statistical Graph of All-Time

Napoleon_march_on_moscow

Analytics is about taking action. But if you don’t understand what the data is telling you, you can’t do much with it. 

That’s why data visualization is white hot in the rush to manage big data. In response, Google will be releasing flow visualization as a new feature in Google Analytics over the coming weeks. 

Google referenced what is considered by some to be the greatest statistical graph of all-time – a visualization that charts Napoleon's 1812 invasion of Russia, a campaign that had a casualty rate of 97.7% -- as the inspiration for the new feature.

Google hopes to brings this type of visual clarity to the fire hose of data it collects about your sites.

[Disclaimer: Your casualty rates may differ].  

Filed under  //   analytics   data visualization   flow visualization   google analytics   media   napoleon  


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Don't Let Your Data Go Naked

Data_visualization_non_program

Not a programmer? No worrries, neither am I.

Here's a great data visualization tutorial from the Knight Digital Media Center out of UC Berkley that walks through creating a Google spreadsheet, attaching a Google Gadget, adding public form entry fields and publishing it live to your site.

A very cool, well documented process that I can only think of 100 different ways I might use. Don't send your data out naked anymore, dress to impress with some free tools, a little Excel/spreadsheet knowledge and some elbow grease.

Filed under  //   Google Gadget   Google Spreadsheet   analytics   data visualization   google   knight digital media   media  


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Sweet Spot for Publishers, Freelancers?

Ebyline-freelane-publisher-mar

Editor: “I don’t have time to mess with freelancers. It’s more trouble than it’s worth.”

Freelancer: “I can’t write $25 stories for these online markets. It’s more trouble than it’s worth.”

But what if both of these were false?

The market for professional and freelancer content continues to mature with offerings like ebyline.com.  Not only can publishers assign, review, sell and purchase content – but it takes into consideration the biggest obstacle which is the execution related to contracts, payroll, taxes and rights management.

For freelancers, average ebyline writers fees have been reported anywhere from $25 to $300, well above the Demand Media content-farm rates.

Add to that financial backing by a major media company like E.W. Scripps, and the offering has both credibility and distribution.

For newsrooms that need to do more with less budget, look for less reliance on AP and more exploration with original professional and freelance content. Especially if they can also market and sell their own content and create incremental revenue.

 

Filed under  //   AP   Demand Media   ebyline   ew scripps   freelance   media  


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How Can Media Optimize Content Better, Faster?

Most media groups, by now, understand how important the use of keywords, title tags, bread crumbs, topic clusters are to exposing their content to the widest possible audience. 

But as with most good ideas, knowing what to do and executing it are two very different things.

That’s because identifying the proper keyword terms to target, selecting the proper category [which drive your bread crumbs], linking to content that’s directly related to your new story can be time-consuming and labor intensive.

Anyone who works in media can tell you – Content may be king, but speed to market is often the Judge.  That’s why when it comes to properly optimizing a story vs. getting it out – the keywords, tags and links can be left on the cutting room floor.

But there is help. New tools and APIs are emerging that leverage natural language processing that automates not just a keyword search, but a true understanding of what that content is about. TextWise is one such company offering APIs that provide automated content analysis that can return the story’s appropriate category, metadata, title tag, topic tags as well as match it to other relevant content.  Plus the API calls are free to a point, @ 20K per day, and can be purchased beyond that level.

If you’re not API-savvy, there’s a widget for Similarity Search that’s plug-and-play, as well as a WordPress plug-in.

With tools like these, content creators can start to move from the good ideas that live on the “if I have time” list, to a process that executes good ideas every time.

Filed under  //   TextWise   media   natural language processing   seo  


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