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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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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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3 Things That Impressed Me About Steve Yegge's Google + Rant

As I read Steve Yegge's Google + Manifesto I couldn’t help but think about Jerry Maguire’s mission statement that earned him high fives, backslaps and a cardboard box to clean out his office.

As I finished Yegge’s post and sighed, “Wow” … I tried to think why it was so impressive. So far I’ve got three things:

1.       Passion – whether you agree or disagree there’s no faking passion. Steve’s passion for Google, getting it right and an accessible product is clear, poignant and compelling.

2.       Arrogance – I don’t think companies intend to be arrogant, but his point that assuming you have the ability to predict exactly the product people will want over the long term is arrogant in a short-sighted, unintentional way.  If we could do that, we’d spend more time at the roulette table.

3.       Objectivity – Journalists always hear, “you’re supposed to be objective.” Well that’s wrong, there’s nothing more subjective than choosing what words, quotes, photos, links to include or not include in a story.  What you need to be is representative of the topic and I think Yegge does a great job of explaining the context of the problem, the challenges, the solution and yes … his opinion in an inspiring, fair and honest way.

Filed under  //   Amazon   Steve Yegge   arrogance   google   google plus   objectivity   passion   platform  


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When Is It Time to Say Goodbye?

What does an ‘I heart analytics’ t-shirt and the Grim Reaper have in common?

Well, those who like analytics appreciate the data, but love the insightful, actionable decisions we can make because of it. The point is that the data does not always point to an exciting new green-light, beta-test, budget funded project.

Sometimes it harkens to the end of projects, processes and labors that have outlived and or never reached their potential. It’s fun to launch, but it’s hard to say goodbye. The natural reaction is – “We can’t kill it because that’s admitting it failed.” That’s correct, but not killing it is an even more criminal waste.  If you’re in the business of experimenting, you need to be equally devoted to pruning. There’s no shame in pulling the plug on what’s not working.

Google’s Larry Page doesn’t wear the Reaper costume [at least I don’t think he does] but Google’s not afraid to test, launch, analyze and yes spike the underperforming … aka Aardvark, Fast Flip, Sidewiki.

The good news is that we all need more time, money and resources, and by axing the underperforming, we instantly gain a lift via subtraction. Even if the labor is automated, the additional clutter distracts users from the best offers you do have. Maybe you have devoted resources to …

  • Creating automated content product with no subscriber base
  • Creating one-size-fits-all web reporting no one opens
  • Posting long-form archive video that no one watches
  • Maintaining a blog that has no specific purpose or goal
  • Sharing content to a partner that generates no referrals

Today, ask yourself. What could I kill that doesn’t work, and where could you spend it that does?  And then picture the Grim Reaper in an ‘I Heart Analytics’ t-shirt.

(download)

Filed under  //   analytics   google   larry page   media  


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10 Examples of What Analytics Success Looks Like?

Read a great post this morning which I’ll reference in a moment that speaks to the reason data-rich companies are still not flourishing with this information.  It [data] is available in many tempting flavors – free, paid, borrowed, mobile, real-time, visualized, raw, aggregated, curated and so on.  But why then is not magically ringing the cash register?

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How do I know if all that data is even making a difference? In other words, what are the metrics for my metrics?

“Huh?” you say.

To put it more clearly, how do I measure my analytics efforts themselves. What signs do I look for that my data-driven strategy is making an impact?

What does success look like?

Well, I’d say the golden Holy Grail conversion goal is … are you ready for it … here it comes … “action.”

Action -- could come in different shapes and forms and may not register on a monthly report but it’s prompted by insights, information from data analysis [notice I didn’t say data gathering]. And you must recognize it in all its forms so you can strive for it and then celebrate it when it occurs.

And it could look like any of these:

1.       You discover all your site pages are not tagged properly in comScore and correct it

2.       You discover a competitor is increasing market share in a new vertical, and greenlight a beta test in that same vertical

3.       You discover the bios page on your site generates 22% of your visits and expand, promote and elevate that section at the expense of under-performing content

4.       You discover more people are entering your site from your story level page than your home page and start A/B testing to reduce the bounce rate of your story level pages.

5.       You discover 20% of labor resources are spent on a site section that generates 10% of your visits but no revenue, no conversions, no repeat visits and simply kill it.

6.       You discover that your peak audience arrives between 10a-2p and shift the schedules of your web staff to produce more from 7a-10a.

7.       You discover that users to your home and garden section click on ads 3x more often than any other section of your site and notify sales.

8.       You discover referral visits from Google spend twice as much time on site as visitors from Drudge and Twitter and review/rewrite all the page titles on site to increase search referrals.

9.       You discover referrals from a related site convert at a higher rate than any other visit and set up a meeting to partner with that site.

10.   Or, you gather your execs, stakeholders, clients into a single room and ask, “What is the one most important action a visitor to our site can perform and how does it drive our business?” and you don’t leave the room until you agree on it. That’s your No.1 priority … and that’s where you measure intently … analyze relentlessly … and act boldly.

Now back to that post, Bryan Eisenberg’sData Rich, Optimization Poor” drives home the same thought – data, and even analysis without action – is lip service.

“There's no profit from having a web analytics report; you make money from making changes and experimenting based on the insights available from the data. In order to do web analytics correctly, it needs to generate a to-do list for you.” 

Amen, brother. Action is where it’s at.

 

Filed under  //   Best Practice   action items   analytics   bryan eisenberg   clickz   comscore   google   media   seo  


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Bin Laden Coverage: Nuggets, Segments, Jokes

Now that we have feasted on healthy portions of Osama Bin Laden news for more than a week. What did we learn about coverage of a worldwide event like that?  Two compelling columns point to a strategy and a trend of how our appetite for the various flavors of news can be measured.

First is Danny Sullivan’s insightful piece that touched on the “nuggeting of news” and how blogs and some mainstream media pursued the story in bite-size pieces and were rewarded by Google with more frequent and higher SERP positions. Is it an overt chase for pageviews? Absolutely. Is it a devious new blogger tactic? Hardly, it’s been a media mainstay since the telegraph.

“It was effectively doing what news organizations and wire services have long done, a “write though,” constant updates to a story. Chasing pageviews too? Maybe. But also part of what is native to some news organizations.”

– Danny Sullivan

The second piece, the Pew Research Center's analysis of Bin Laden coverage, was even more interesting and referred to a study that focused on which story angles garnered the most coverage and where those angles were more prevalent.  What was the No. 1 theme on Twitter, Facebook? Humor, followed closely by conspiracy theories and hoaxes.  

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Filed under  //   Bin Laden   Twitter   facebook   google   media   news nuggeting   seo  


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Demand Media Escapes Google's Content-Farm Update

Algo-update-ehow

The early big-name losers from Google’s recent anti-content-farm search update are out. It has affected some common names who regularly top SERPs for popular queries, according to an index published by Sistrix.com

Those include Mahalo, Associated Content, ezinearticles.com and examiner.com.  In addition, a wsj.com report indicates that traditional media outlets like LinkedIn.com, Facebook.com and the news sites of Time, Fox News and the New York Daily News rose. Also, retailer sites such as Wal-Mart, Target, and eBay rode the search modification wave.

What’s interesting to note is Google does make a distinction between what it considers to be higher-quality content farms like Demand Media, as Sistrix’s chart shows, they were positively affected by the change.

Filed under  //   Demand Media   content farm   google   media   seo  


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6 Action Items ... at Close of SMX East

As I was making notes on the 2010 SMX East conference on the train home, I resolved to not let these three days go to waste without pushing the most important action items into ... well action. So what is at the top of that list?

"How about Action?" -- Yeah that's a good one, I resolve to not let the mountain of e-mails, phone messages and meeting requests that are waiting for me to deter me from acting on this list.

"Server Logs" -- never had access to them before, but now I have a better idea about the valuable information contained within and will ask my dev team for access.

"Development Requests" -- this is a big one, I will be more dedicated to creating, better documenting and pushing high priority development requests such as ability for on-demand 301 requests, ability to add custom meta tags on the fly, the automation of semantic linking, integrate with Facebook's social graph API, among others.

"Crawl Efficiency" -- make better use of the Google Bot's time by reviewing the pages it's crawling and removing sections that do not need that attention. Also, target page load times as a means to increase the number of indexed pages.

"Local Content" -- huge opportunity around the relative scarcity of good local content that is and will be in more demand by advertisers. Brainstorm ways to help sites create more tageted local content more efficiently and increase UGC contributions.

"Segment those Analytics" -- spotlight the different content consumption trends of users according to referral source (search, other referrals and direct).

Also see: 6 "Hmmm" Moments ... on Day 2 of SMX East and 5 Ideas That Stuck ... On Day 1 of SMX East.
 

Filed under  //   action items   analytics   google   local   media   seo   smx  


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Google Trying to Help Suicidal Searchers

In response to a mom’s suggestion, Google has tweaked its search results to offer help for searchers in dire circumstances. Do a search for [ways to commit suicide], and you’ll see an emergency phone number listed above the regular search results.

Filed under  //   google   seo   suicide  


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Finally! Google to Rein In Content Farms?

Nice recap on b2bmemes.com that Google is finally looking into the keyword-stuffed garbage content that continually outranks decent original content on SERPs. Now what you consider a content farm is open for debate, but the examples pointed out in my June, 20, 2009 post -- Google ... Put a Stop to Keyword News shows examples of search results we can all do without.

Google to Rein In Content Farms?

Matt Cutts on This Week in Google

Matt Cutts: Raising the Bar

Is Google poised to slow the growing domination of its search results by content farms like Demand Media and Associated Content? At the end of last Saturday’s episode of the podcast This Week in Google, Matt Cutts, the head of Google’s Webspam team, suggested that it would: “If your business model is solely based on mass-generating huge amounts of nearly worthless content, that’s not going to work as well in 2010.”

Cutts’s remark came in response to a question by host Leo Laporte near the end of the episode. Though Laporte only learned about Demand Media a week earlier in his This Week in Tech Podcast, as he glancingly noted, he left no mistake about where he stood on the merits of its approach: “it seems like a way to game Google by creating a lot of pages with . . . barely adequate content in a niche area [in order] to drive traffic.”

Though Cutts avoided taking a position on Demand Media itself, he made it clear that Google was looking to address the generic problem:

“Within Google, we have seen a lot of feedback from people saying, Yeah, there’s not as much web spam, but there is this sort of low-quality, mass-generated content . . . where it’s a bunch of people being paid a very small amount of money. So we have started projects within the search quality group to sort of spot stuff that’s higher quality and rank it higher, you know, and that’s the flip side of having stuff that’s lower-quality not rank as high.”

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Filed under  //   Matt Cutts   content   google   media   seo  


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