HubSpot Launches Free Tool to Analyze the Shareability of Your Tweets – by Dan Zarrella vía @hubspot


twitterI love data. I’ve spent the last 5 years of my career dedicated to doing research on huge datasets of hundreds of thousands and millions of rows to reach best practice conclusions. And those conclusions are great for experimentation with specific brands and audiences.

But the real power comes when you begin analyzing your own, individual sets of data so you can find out what kinds of content, timing, and behaviors work best for your specific audience.

Enter! Using this free tool, you can analyze any Twitter account — including your account or a competitor’s account — to unearth the data you need to get more retweets. The tool works by allowing you to compare your current behaviors (the small graphs in the text) with the behaviors that are correlated with your account getting more retweets. Here’s how you can use this new, free tool to analyze and improve your own Twitter presence.

How to Use RetweetLab to Analyze Your Twitter Marketing

Let’s start with something we’re all familiar with — the Twitter hashtag. Ever wonder how important it is to spreading your Twitter content? RetweetLab can help you understand that.

The graph above details the effect of hashtags on retweets for my account, @DanZarrella. You’ll notice that the vast majority (93.4%) of my tweets do not contain a hashtag; but those tweets thatdo contain a hashtag tend to get more retweets. I may want to think about experimenting with more hashtags in light of this data, right?

Time of day, especially in the cluttered Twitter stream, can have a huge impact on your effectiveness, too. Take a look at what the hour of day breakdown shows us, this time from an example using the @HubSpot account:

We see that our account sends the most tweets at 2 p.m., but that tweets at that time seem to get fewer retweets than the rest of the day. Based on this, maybe we should experiment with more tweets in the morning, rather than afternoon — as you can see, around 8 a.m. we do quite well with retweets, and even much later in the night, around 10 p.m. Leer más “HubSpot Launches Free Tool to Analyze the Shareability of Your Tweets – by Dan Zarrella vía @hubspot”

The Science of Social Timing Part 3: Timing and Blogging

Timing is everything, and maintaining a blog is no exception to the rule. Learning when your audience is tuning in, and therefore when to post, is mandatory for any successful blogger. In the third and final part of this series we’re going to explore how timing can affect your blog readership.

Data courtesy of Dan Zarrella (@danzarrella), (@sengineland) and HubSpot. Content available as a webinar by Dan Zarrella hereNote: all of the data below is presented in Eastern Time (EST) unless otherwise noted. Leer más “The Science of Social Timing Part 3: Timing and Blogging”

The Science of Social Timing Part 1: Social Networks

It’s important to know when the highest percentage of your audience is eavesdropping on your social networks—so that when you share content you’ll get maximum exposure. Use the following data to learn when your audience is most likely to tune in. Be sure to check in with us next week when we discuss timing & email marketing.

Data courtesy of Dan Zarrella (@danzarrella) and HubSpot. Content available as a webinar by Dan Zarrella here. Leer más “The Science of Social Timing Part 1: Social Networks”

The Science of Social Timing Part 2: Timing & Email Marketing

Are certain times better than others for sending your email campaigns? In the second part of this series we’re going to investigate how timing can impact your email marketing. Data suggests that there are distinct windows in which to send emails if you want to achieve the highest open rate and maximize your readership. When reading this infographic remember: your own email timing data is the best data you can get your hands on!

Data courtesy of Dan Zarrella (@danzarrella), Pure360 (@pure360) and HubSpot. Content available as a webinar by Dan Zarrella here. Leer más “The Science of Social Timing Part 2: Timing & Email Marketing”

6 Tips for Improving Twitter Link Click Through Rate

How can Tweets be tested?

Unfortunately, it’s not possible to A/B test tweets – yet (maybe someday there’ll be an app for that). If you’re handy with numbers, Rand Fishkin from SEOmoz has a process for hypothesis testing tweets you can try. (Interestingly, Rand found shorter tweets produced higher click through in his analysis).

Again, click through isn’t the perfect measure of engagement or interest. You can’t count how many people read your tweet and got value out of it without retweeting or replying to you, but you can measure which tweets spurned the most unfollows with Tweeteffect. It’s a good idea to make note of content that causes an unusual exodus, regardless of the length, link placement, use of adverbs or time of day.

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When it comes to sharing links through Twitter, what makes them click?

Dan Zarella from HubSpot set out to answer that question, analyzing over 200,000 link-containing tweets, and measuring several characteristics that appear to influence click through. Dan’s findings are presented infographically (WordPress tells me this is not a word, but I don’t care), which we will here break down tip-by-tip, along with some real-world examples.

Here goes…

1. Write tweets between 120 and 130 characters long

If you’re anything like me, your problem is trying to fit your message into a measly 140 characters. It’s reassuring that longer tweets don’t underperform shorter ones. But why would longer tweets get higher click through?

It could be that longer tweets have more context around the link. We’re not into random clicking for the fun of it. Short tweets can be vague, for example:


Does that mean never tweet short? No way. If you can evoke curiosity with a few words, do it.

2. Place links about 25% of the way through

Leer más “6 Tips for Improving Twitter Link Click Through Rate”