How to chew up & spit out your content like mommy bird

September 27, 2013

I realize the regurgitation reference in the title of this blog post is a tad obscure and a bit gross, but there it is for your consumption (mild pun intended).

This infographic by Search Engine People cleverly sums up how you can:

  • Develop a stellar, highly useful piece of content
  • Reinvent it in different formats
  • Chop up pieces of the long-form version that are highly relevant to particular audiences
  • Inspire others through said content
  • Earn backlinks like the one belowRead more…
Read more...

I realize the regurgitation reference in the title of this blog post is a tad obscure and a bit gross, but there it is for your consumption (mild pun intended).

This infographic by Search Engine People cleverly sums up how you can:

  • Develop a stellar, highly useful piece of content
  • Reinvent it in different formats
  • Chop up pieces of the long-form version that are highly relevant to particular audiences
  • Inspire others through said content
  • Earn backlinks like the one below and retweets like the one to come!

Cook Once, Eat All Week: How To Repurpose, Repackage And Redistribute Your Content [INFOGRAPHIC]

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Determining statistical significance for online marketers doing A/B testing

September 16, 2013

We’re online marketers, not statisticians, so I’ve witnessed confusion from time to time when “statistical significance” enters the picture.

Statistical significance is a critical idea when it comes to A/B testing in the online marketing world because it distinguishes happenstance from real, tangible, actionable test results.

Whether you like it or not, as a marketer conducting an experiment, you’re suddenly part scientist. You have to prove the results of your experiment are worthy of further actionRead more…

Read more...

We’re online marketers, not statisticians, so I’ve witnessed confusion from time to time when “statistical significance” enters the picture.

Statistical significance is a critical idea when it comes to A/B testing in the online marketing world because it distinguishes happenstance from real, tangible, actionable test results.

Whether you like it or not, as a marketer conducting an experiment, you’re suddenly part scientist. You have to prove the results of your experiment are worthy of further action and exploration.

Without further adieu — here’s what you should know about statistical significance as an internet marketer:

1. The statistical significance associated with your A/B test measures how confident you are that the results didn’t just occur by chance.

2. Statistical significance is described in confidence intervals. Typically, the “minimum” confidence interval to determine it’s very unlikely your test winner happened by chance is 95%.

3. If you can get a confidence interval of 97-99% you are in a very strong position to say your test results are not a coincidence.

4. Another way to think about what statistical significance means is this:

Your CEO: “How confident are you that the A/B test results here aren’t simply a coincidence?”

You: “I am 99% confident, statistically speaking, that it’s no coincidence.”

Boom. You are now empowered to sling the phrase left and right.

Here’s a really useful statistical significance calculator marketers can use.

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