[Infographic] How to Get More Clicks on Twitter

I’ve often said that the best use of Twitter is as a broadcast medium. You should be creating a ton of interesting content and sharing it with your followers. To that end I’ve done a bunch of research on how to optimize the clickthrough rate (CTR) of the links you’re tweeting.

For the purposes of this data, I’ve calculated CTR as the number of clicks on a tweeted link divided by the number of followers the account had when it tweeted that link.

Below is an infographic presenting some of my past findings as well as some entirely new data I’ve found about increasing CTRs on Twitter.

If you missed my webinar The Science of Social Media check out the on-demand recording now for more social media science like this. And don’t forget to take this quick survey to tell me what other social media data you want to see.

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[Infographic] What are the Best Times to Blog?

One of the most popular webinars I’ve ever worked on, The Science of Timing was also one of my favorite. If you haven’t seen it, go check out the on-demand recording now.

In it, I present data I’ve collected over three years about the effect timing has on a variety of online marketing activities, including blogging. Below is an infographic that represents a collection of the three most important stats I have about when to publish blog posts.

In the webinar, I also make the point that my results are based on huge aggregates of thousands, millions, or even in some cases, billions of lines of data. They might not represent the exact best times for your industry. What they represent is a set of times to experiment with, using your own audience.

As in the medical science field, researchers conduct experiments with hundreds or thousands of subjects and find best-practice courses of treatment. In individual cases, doctors start with these best-practices and if they work, great. If they don’t work, they experiment with the next course of treatment. Marketing science is like this. Use my data as a starting point for your own experimentation.

Since most Americans live in the eastern time zone, the times below are ET.

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[Infographic] The 2012 Republican Candidates by the Twitter Numbers

I’ve studied the relationship between Twitter success and politics before, and since this year is a big year in elections, I figured I’d do it again.

This time I looked at how the 4 front-running republican presidential candidates are doing on Twitter. I analyzed the obvious numbers, followers, retweets and mentions, but I also looked at a few of my favorite, deeper metrics: retweets-per-follower, link-percentage and reply-percentage. I also looked at Twitter “penetration” in two upcoming primary states: South Carolina and Florida. Notice anything that surprises you in this data?

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[Infographic] How To Use Contra-Competitive Timing for More ReTweets, Likes, Comments and Clicks

One of the most interesting patterns I’ve found while studying social media and marketing data is what I call in my book “contra-competitive timing.” I’ve found in numerous cases that the most successful times and days to publish new content are off-peak times.

It’s like when you’re at a noisy party and it’s hard to hear the person talking to you 2 feet away, but suddenly you say something awkward and the room quiets down. Now everyone can hear you. The same is true with the internet. When there is less other noise to compete with (ie fewer Tweets, emails, blog posts, etc) your content can gain attention more easily.

The infographic below showcases some of the best examples of this phenomenon I’ve identified.

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[New Data] What Percentage of your Tweets Should be Links or Replies

If you like myth busting social media data like this, be sure to buy my newest book, Zarrella’s Hierarchy of Contagiousness.

One of the social media questions I’m most interested in is about whether Twitter is best suited for conversation or broadcasting. To many people’s surprise, I generally find myself on the broadcast side, and most of the data I’ve analyzed seems to back me up.

Just yesterday, I started a little informal Twitter poll and found that respondents were pretty evenly split between broadcasting and conversation.

This time, I looked at more than 100k randomly chosen active Twitter accounts and their Tweets. I analyzed the percentage of their Tweets than contain a link as well as the percentage that began with an @. I also measured the percentage of their last 100 Tweets that were ReTweeted.

I found that accounts that had high link-percentages between 60% and 80% had the most ReTweets and accounts with low reply-percentages between 0% and 10% had the most ReTweets.

If you’re interested in ReTweets, broadcasting lots of interesting content works much better than “engaging in the conversation.”

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