Share rate. The best way to measure how content spread

There’s a lot of talk about shareable content and what it means to go viral. This post is in no means a guide to make sure content does go viral, with this post I hope to help people understand why content spreads and if that is really what has happened in the first place. The reason I think this matters is because marketers are judging other brand’s content to understand what worked and what didn’t hoping to replicate, but they aren’t necessarily always looking at the right data. And since I get into conversations related to this topic constantly, I figured it would be well worth sharing this idea of share rate here as well.

Enough for the introduction, I will use online video (ads) as an example, but the theory works for all kinds of online content, although the data sources will be different of course. There are two key numbers that people tend to look at when judging the succes of online video: views/impressions and shares, although I presume that’s already a distant second measure.

Youtube for instance has its own way to rate popularity of video ads, that is explained by themselves rated based on “an algorythm that factors in paid views, organic views and audience retention” – the Youtube Leaderboard. It’s unclear what the weight of each element is, but it’s clear that it’s mostly based around views. It is also the only number mentioned in the rating. As an outsider it’s difficult to judge only on that number what made each video succesful, was it the idea or was it the mediaspent? Knowing what Youtube’s business is about, there’s no need to explain why this rating makes sense for them.

YoutubeLeaderboard

So it’s important to look further. If you as a marketer (or agency creative) want to figure out why something worked views aren’t the best number to look at on its own. Unruly Media created another way to measure video by looking at the amount of time something was shared on social media. The ads chart is sponsored by Mashable, but you can also look at popularity of other video content. If you want to understand why content was spread amongst people it’s probably a good idea to check if it actually spread in the first place.

Here’s where it becomes interesting. The ranking based on shares looks pretty different than the one based on views, if you look at Youtube’s n2 for August for instance, you will see it’s almost impossible to find in the Unruly ranking. So it’s clear, you wonder how content spread? Look at the shares. But that’s not all.

ViralVideoChart

Let’s look at a classic video we all know for instance: Evian Babies. With over 3 million shares that puts it at number 7 in the Unruly Viral Ads Chart of all time. Very succesful, but does that proof it was spread across social and hence a big succes? Not quite. Paid views will also generate shares – paid and organic. So we need to look beyond that. Here’s where the share rate comes in. The best way to judge whether a video was viewed because people shared it across the web is to look at the ration between views and shares. There’s a few ways to look at it, we use [shares/views] as the ratio, some use percentages, the idea remains the same.

Snapshot of internal tool (c) Duval Guillaume
Snapshot of internal tool (Duval Guillaume)

Truly viral content such as ‘Dumb Ways to Die‘ or our own ‘Push to add drama‘ will have a share rate in between 1/20 and 1/10 or even higher (meaning 1/9 or 1/8 but you won’t see those number appear much). Evian Babies – to come back to that same reference – has a ratio of 1/40 and the other example I mentioned (Foot Locker – Youtube’s August n2) has a ratio of 1/200. I would reckon that everything below 1/15 (probably) or 1/20 (definitely) received some kind of ad push. The lower the number the more views were generated through advertising (versus organic) obviously.

The share rate on its own doesn’t say much either of course, a high rate with little views isn’t much of a succes. But if you really want to know why a video was seen by so many people then this is the measure you need to look at. Does that mean those other videos weren’t successful? Of course not. Is it wrong the push videos online with media? Ofcourse not. But want to understand where success came from with the little data you can access? Find the video on the Unruly chart (they show both views and shares – makes it easy) and calculate the share rate.

For the record, Youtube also has a kind of share ratio they use in their presentations but it’s not meaning the same thing. They will look at the ratio between paid views and organic views. Again, thinking of their business selling video ads, I makes for them to correlate paid versus organic views, rather than views versus shares as I suggested.

As mentioned in the beginning I used video to explain but this idea of share ratio counts for all types of content and thus should help you analyze success (or not) of others in good way.

(Please note that I only use examples to illustrate a point, it’s no judgement at all about the videos themselves).

“Creativity is the ability to Play” – Ricky Gervais

Ricky Gervais talks about creativity and the ability to just ‘muck about for the hell of it’, experimenting, seeing what happens, making mistakes while just trying stuff out until you find the little gems you want to keep:

“The point of art is to make a connection. If people talk about it, it’s succeeded in a way. People have assumed that, because I don’t listen to critics, or take studio notes or whatever, that I think I’m perfect and have never made any mistakes. This could not be further from the truth. Making the mistakes is the point, is the fun, is the important bit. But they have to be my own. The writer Rita Mae Brown said, “Creativity comes from trust. Trust your instincts. And never hope more than you work.” The only difficult bit about this is getting final edit. So much creativity is stifled by people who “know better”, or by fear of failure, and before you know it, your goals have been twisted and you’ve forgotten what you set out to do.”

Read the whole post on Ricky’s website.

The #ASS of Kris Hoet

Okay, I’ll admit, Tom De Bruyne made me do it. About a week ago Tom and Astrid – founding partners of Sue Amsterdam – organized The Awesome Slideshow in Boom Chicago (Amsterdam):

“10 inspiring speakers from the creative industry share their favorite stuff they
found on Twitter. Get inspired in one afternoon with a top-selection of awesome
ideas, thoughts, actions and campaigns.”

Hashtag for the event: #TheASS. Here’s my presentation and underneath you will find a little bit of background with the video’s, why I chose them for this presentation. (Video’s are all in the presentation)

Do mess with perfection. It’s the campaign line of the new Ford Mustang (check out their app btw) and I chose it because it’s more in tune with the idea I have around experimenting than the often used “fail harder” line. Why? Because “fail harder” all to often seems to result in a mediocre output and I don’t think that’s right. Do mess with perfection does a better job at making sure you experiment but with the end goal to make something awesome. Not mediocre. What do you think “fail harder” would look like in Jeb Corliss’ stunt? Therefore the ‘Grinding the crack’ video.

Big data. I love data. Not like an analyst or a statistics guy but because of what you can learn from data… if you’re looking at the right thing. Data visualizations are very welcome in helping you understand data – and then I don’t mean all these 15.000 pixel long infographics that show up on a daily base. I used some examples in my presentation, once including a tool you can download here: IOgraphica.

Gamification. Not games. Not contest. But fun game inspired elements to deploy on real life. Like what they did in Chromorama with the London Subway.

Known + Unknown. What happens when you combine knowledge from offline shopping behavior with online analytics methods. Awesome this Shopperception video – again see presentation.

Hackable. Kinect showed us once more, almost all year long, that you’re better off making things so that people can explore beyond the initial purpose of what it was made for to begin with. It might inspire everyone.

Laughter from nowhere. Kevin Slavin learned us to look at second screen in a totally different way, too bad his presentation from last year’s Think Digital congress isn’t online where he talked about that. I used the example from Clik just to show that most of our second screen thinking is really too basic.

The world is our canvas. Although the example in the presentation is a quite literal example, the point I wanted to make was that there are no more limitations to what we can do, that ‘out of the box thinking’ has never been so valid as today. There is no frame, the world is our canvas.

DIY 2.0 3D printers, open source code, Arduino, … it’s incredible what people like you can me can make today. We already have more democratic ways of promoting ourselves – thank you web 2.0 – but today we also see the same principles being used to fund as well as fabricate ideas. And that’s awesome.

The last video – of Casey Neistat, yes the same guy that made that Nike video – because it’s fun and it reminds us that everyone with a good idea can get noticed.

Key take away – It always seems impossible until it is done. Something we remind ourselves of at the agency as well every time someone presents us with an idea that looks impossible :-)

Picture1

A video trip down to memory lane: the Youtube Time Machine

The YTTM offers an interesting way to watch videos from a specific year in between 1860 and 2010. Pick a year and choose one or more categories (video games, television, commercials, …) and you get a video that fits the selection.

Let’s find out what happened in 1973 – the year I was born in case you were wondering ;)

[Via The Denver Egotist]

100 greatest internet videos in 3 minutes

Let’s say you never had the time to watch any of the videos that your friends sent you by email or on Facebook, well I’ll spare you some time, you can now watch them all at once… kinda. And like my friend Kevin says, if you did watch them all… think about the all the time you’ve wasted :)

100vids

[Via Kevin Briody]

Improving online video

I’m not such a big fan of predictions like we see them all over on the web at the start of the New Year. There are a few good ones like those of John Batelle for instance, but other than that many predictions sound more like acknowledgement of something that’s already happening today or a wish-list for something we would like to see happen.

One good example is mobile for instance. It’s going to be the year of mobile since 2005 I think and as I said before, 2008 is not going to be the year of mobile either. Or talk about video, I had a discussion with someone recently about online video after a statement that 2008 would be the year online video will get big. That’s just not true, 2007 was that year already. As a counter argument I did say I believe 2008 will be the year in which online video will become more useful, of better quality, with better metrics, better advertising, … you name it.

And that’s what is happening today indeed. Yesterday Read/Write Web reported on the launch of Dailymotion HD upload & playback, including automatic bandwidth detection which allows easy switching to lower quality versions. Check out the HD example in their post. Now I can see how HD quality might not be on top of everybody’s wish-list for online video, but I do believe it’s a must have for future development of online video.

About a week ago, MIT AdverLab reported on a new innovative technology related to video advertising. The technology developed in Microsoft’s AdCenter Labs included tools for content analysis and speech recognition for advanced contextual advertising. (again disclaimer: Microsoft is my employer). Definitely take a look at the video below to get an idea of what they exactly mean with that:

Now as I am in advertising, I’m interested in this but not only for advertising purposes. If you watched the video you will understand that there are also opportunities for websites for instance to relate archived content to in-video content (think news sites) or how the technology can create automatic chapters in a video for more useful video browsing for instance. There are quite a few exciting technology usages you can think of with this new development.

A last improvement will be about making video more searchable. The technology mentioned before will definitely be able to help in that area, but quite a few startups are working in that area as well. A few weeks ago at the LIFT Venture Night we saw Viewdle showing off their approach on this, including face recogniation etc. Neat stuff as well.

Content analysis, speech recognition, chaptering, contextual advertising and content (based on the video – not on title or tags), HD, … Yes, online video is big already, 2008 will be the year in which it will get better.