Archive for the ‘data’ Category
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AdMob Mobile Metrics Report – April 2010
21st June 10
AdMob Mobile Metrics Report – April 2010View more presentations from AdMob Inc. -
Internet Trends 2010, by Morgan Stanley’s Mary Meeker
9th June 10
Posted in data, interactive, mobile
The thing we like most about Mary Meeker’s annual Internet Trends presentation is it’s just packed with data. The charts are sometimes *too* intense, in fact, carrying too much data. But it’s always revealing, and usually inspiring. Because it’s fact, not fiction.
Slide 7 is especially impactful. I was born on the left hand side of the chart, probably around when there were 5 million computing-capable units globally. On the right, just ten years from today, the forecast is for 10 billion+ units. Extraordinary.
View more presentations from CM Summit: Marketing in Real Time. -
Screw Relationships, Let’s Have a Fling; On Brands & the Privacy Debate
18th May 10
Posted in culture, data, social media
Author: Saneel Radia (@saneel), Director of Media Innovation, BBH New York
I’ve written about social media flings before, but all the recent buzz about privacy issues got me thinking about this subject again. Brands are obsessed with friends and fans in social media environments when a much more relevant (and achievable) goal would be a less committed relationship: a fling. Why ask so much from a consumer when most brands fail to deliver on expectations anyway? The number of brands I’ve met with an editorial calendar and iterative community management strategy is so few, I can count them on one hand. Yet, the gathering of fans / followers / cults prods aimlessly on, justified via the value of earned media. The idea of talking to a million people whenever you want — that’s just too good to not pursue, right?
I just don’t get it. Maybe I’m too demanding as a consumer, but I have a tough time with the “in or out” invitation posed by most brands. I was talking to @hashembajwa about this recently and he cited the following example: “I love and am loyal to Virgin Atlantic, but that doesn’t mean I want to hear from them at any point other then when I have London on my mind.”
That comment really struck me. For him, it was about context. And that’s really what a fling is. It’s like a camp friend— that kid you were super close with at camp. You couldn’t imagine a scenario at camp he or she wasn’t a part of. But, once you got back home, regardless of promises to call and write, it didn’t happen. It just wasn’t relevant to stay in touch back in your normal life. But hey, next time you were at camp, you two picked up right where you left off, no? That’s the perfect camp friend.
So why aren’t brands OK with relationships like that? Context isn’t such a bad thing. It’s what good media planning is all about. And if the main arguments for these ludicrous fan numbers I hear brands chasing is rooted in earned media, it seems only rational they would evaluate said media based on quality, as they do with all media.
And that’s the rub.
You see, context of any kind is where brands face the privacy issue square in the face. They need to know as much about a person as possible to have these flings. Most brands on Twitter, for example, wait until you’ve called them out by name before @-replying because they fear otherwise their tweets will be viewed as spam. It’s the same expectation you’d have as a consumer in Facebook. What if a brand waited until your status was relevant to them to reach out to you? “@hashembajwa, I see you you’re excited about dinner in London, would you like some help planning your trip? – Love, Virgin.” Scary for many people. But enticing as a brand. And that’s why most brands are going to sit quietly while Facebook takes its lumps and sorts out privacy on their behalf. I guess they’ll depend on creating their own context via campaigns, but that’s pretty darn hard.
So, if you’re a brand with something at stake here, would you step in? I can’t imagine brand managers want any part of that conversation, but I think it’s important they have one. Without some understanding of what the pros and cons of the privacy issue are, Facebook is left alone as big, bad brother. In reality, lots of brands would help consumers tremendously if given the opportunity via this type of context. Yet no brands are stepping up, even as a collective, to help consumers understand if there is another side to the privacy issue. How can we expect consumers to make an objective decision about something when they aren’t hearing any upside?
Because, talking to a million fans about camp while they’re in school might feel like a relationship, but I’d argue making out with them while they’re at camp is a lot more social.
Or at the very least, it’s more fun.
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When The Process Becomes The Story: On Open Source & Creativity
7th April 10
Posted in creativity, crowdsourcing, data
Posted by Zach Blank, Creative Technologist, BBH New York
We are so consumed by the communities that Facebook, Twitter, Foursquare (and our local knitting website) foster that we often forget to take a step back and think about the lessons to be learned from these communities. Within each of these online ecosystems, participants, aware of it or not, share some of their most intimate secrets with the world. Conversations about relationships, ridicule for certain social behavior from the night before, bragging about their new iPad, and most importantly simply being open all seem commonplace.
Coders admirably follow the same model however on a significantly different level. Most, I believe, have taken this notion of community and have truly found the value in it for what they do, and there is much we can learn from that. Coders who have affectionately adopted the open source mantra are out there sharing their code, encouraging others to take it and well pretty much do whatever they want. The idea is that by making the work available to be built upon and expanded, it will be built upon and expanded into something better and exponentially more worth sharing.
A piece of work created this way, where the sum of the parts is less meaningful than the work in its entirety, or gestalt, becomes very powerful when considered in the context of the open source philosophy. Projects made up of libraries, code blocks, classes, and ideas whose authors individually poured hours into creating are incomparably more notable than their preceding work which undoubtably made it possible. This is the key most important value in open source. And it is that value that can be translated to other media and have the same result.
Open source technology has given birth to a large array of projects, from everyday utilities to intricate and involved interactive art installations. Each has a narrative behind it that has an impact on its own.
Firefox and jQuery are wonderful examples of utility-based projects driven by the ideals of open source. Firefox, one of the leading web browsers, has a powerful community behind it, thousands-strong, and constantly pushing it forward. The source code and SDK are available to anyone who either wants to tinker with the core of the browser, or develop add-ons to be distributed throughout. jQuery is an example of a company whose purpose has made anyone using the Internet happier, conscience of it or otherwise. It is a Javascript framework which now has hundreds, if not thousands, of plugins creating rich Internet experiences for us all. It started with John Resig’s idea and has been progressed exponentially by the community that has organically grown around it.
The story of these projects are most relevant to us in understanding how to use the ideas of open source. The two projects below carry strong narratives of how they evolved, lending a learning experience on a much different level than the end product. Thinking about the path that these projects took and the backstories behind their creation is an exploration of the creative process that went into them; therein lies the most powerful ideas.
http://www.random-international.com/you-fade-to-light-philips-lum/
You Fade To Light is a beautiful project by rAndom International (with software created by Chris O’Shea), existing in large part because of people who understand the power of sharing their work and encouraging growth. This project was born out of projects before it, borrowing code, leveraging libraries and frameworks to bring it to life. Audience, a separate project also by rAndom International (in collaboration with Chris O’Shea) adds to the narrative and creates its own. Have a look at that here.
http://iwantyoutowantme.org/process.html; A wonderful exploration of the process of creating 'I Want You To Want Me' from start to finish
I Want You to Want Me (IWYTWM) by Jonathan Harris (http://number27.org) and Sep Kamvar (http://kamvar.org/) for the 2008 exhibit ‘Design and the Elastic Mind‘ at MoMA in NYC was created using OpenFrameworks, an open source framework in C++ for artists, interaction designers and creative coders. This beautiful work is in debt to all the work before it. Fortunately the IWYTWM team documented their process, their narrative. It is a prime example of the power that the evolution of these projects exemplify and the value in sharing them.
So, how can we leverage this power of sharing creativity in our business when we hold our ideas in such high regard and guard them so jealously? There is so much buzz around crowdsourcing at the moment because the ‘power of many’ has been proven. That is simply my argument. We need to adopt this powerful idea and understand how to make it relevant and practical for our work. How does the story behind the larger collaborative efforts fit into our business and make our work better?
The easy answer is it doesn’t. But it could.
We can open our ideas and leverage larger collaborative efforts. We need to start with sharing honest explorations of the process behind an idea. Again, IWYTWM illustrates this beautifully, and if we can embrace this idea and run with it we will come out with a whole new level of creative work – perhaps a new breed of creativity altogether.
We’d love to see more examples like the ones above. And we’re always keen to hear what you think.
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Mapping Twitter Part 2: The Tweet-o-Meter
10th March 10
Came across this today. Tweet-o-Meter (link) is the beta version of a platform created by University College London’s Centre for Advanced Spatial Analysis. The Tweet-o-Meter supposedly updates every ten seconds (not sure it does quite do that right now), showing the number of tweets in each city per minute. The ambition is to log and analyze all geo-located tweets in these major cities. Once logged, they will be used to show Twitter activity over time and space. Various kinds of maps will be the main output. I imagine a variety of delicious visualizations will be forthcoming.
We are possibly attracted partly by the simple analogue-feel, dial-based interface. But we’re also struck by yet another work-in-progress attempt to bring life to the data spawned by Twitter (see also Getting to Know Your Twitter Followers & Why that Matters from earlier this week).
Tweet-o-Meter is part of a broader project called NeISS (National e-Infrastructure for Social Simulation), another UK Government-funded project. Read more about it here.
And of course it also reminds us of of the work by Google’s Aaron Koblin on visualizing SMS messages sent on New Year’s Eve in Amsterdam in 2007 (see below). We imagine as Tweet-o-Meter moves forward through beta they’ll need to figure out how to marry Koblin-esque visualizations to their gushing pipe of data. Bringing magic to the mayhem.
Amsterdam SMS messages on New Years Eve from Aaron on Vimeo.
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Getting to know your Twitter followers & why that matters
8th March 10
Posted in awesomeness, data
Last week Aaron Richard (@ralphthemagi) contacted us at BBH Labs with something pretty cool, and we wanted to share it.
Aaron was most recently a digital strategist at Big Spaceship in Brooklyn. A while back Aaron created a map showing where @bigspaceship’s many thousands of followers lived (or claimed to live). I contacted Michael Lebowitz at BS and asked how they’d done it . . . a few days later Aaron wrote to us with our very own version of the data, mapped and analyzed. Brilliant.
Aaron goes into great detail on his site about how he did this, the problems he encountered, the choices he made in filtering, and so on. In short, he used the publicly accessible Twitter API combined with cURL software to play around with the data shared by our c.12,600 followers on Twitter.
After some fairly smart sounding parsing of the follower base to weed out spammers (or at least people who looked most like spammers) and non-actives (see his post for the detail) Aaron pulled down the following public data on each of the remaining followers.
- ID
- Name
- Username
- Location
- Profile Bio
- Profile Picture
- Web URL
- Privacy Settings
- # of Followers
- # of Friends (“following”)
- Account Creation Date
- # of Favorites
- UTC Offest
- Time Zone
- Per-tweet Geolocation Status
- Verified User Status
- # of Tweets
He then used one of Google’s Lab projects, Fusion Tables, to geo-code the massive amount of information he had in CSV form.
The result was two forms of map. First, a fully interactive Google map (launch it and take a look, click on the dots for detail), and second a heatmap showing concentration of followers by major cities. With the interactive map it’s possible to click on a follower and see the data that Twitter holds for them (which is a little scary, but I guess comes with the territory).
Aaron also looked at our follower data and pulled put out some insight about our followers, which we found fascinating.
- Average # of followers: 1,746 | Median: 163
- Average # of friends: 982 | Median: 206
- Average # of tweets: 987 | Median: 247
- 6% of followers keep their tweets private
- 9% have per-tweet geolocation enabled
- 12 followers are “verified”
As Aaron notes, one can see by the deltas between means and medians, all followers are not created equal.
So all this is fascinating to us (for example, to learn that @bigspaceship and @BBHLabs share the same two followers in Iceland . . . hi Islenka and Finnur). But I wanted to see what additional uses might be made of this kind of data and insight. For example, for brands, or for non-profits, or just for individuals. I pinged Aaron a few questions on this theme:
BBH LABS: So Aaron, thanks for this – this is fantastic. But thinking more broadly of potential uses of this kind of insight for marketers, brands and individuals, how do you think this might be used in a more applied way?
AARON: I think this kind of information can be used for setting better goals. Asking better questions and finding better answers. I think a lot of brand teams have this preconceived notion that they are using social media effectively if they have a lot of fans, followers, etc … I just don’t think that’s true.
BBH LABS: Give us some examples of what you mean.
AARON: The particular data set I pulled for BBH could be used in a number of ways. For example, say you wanted to give away something to a few Twitter followers with the goal of growing your network. Send them an iPod Shuffle, get them to tweet about it, drive a little positive PR. But how would you decide who to give stuff to if you wanted to maximize every give away? Well, with data like this you could easily find the top 20 people with the most followers and target them. Or look at the top 50 people with the most followers, then look at those with who have the least number of tweets (there’s something interesting about people with a lot of followers and few tweets, because when they do tweet their message tends to get retweeted a lot and cuts through the clutter).
BBH LABS: And for brands, can you give us an example of how they might make use of this? Maybe to make their stream more relevant? Maybe to get closer to their most valuable customers?
AARON: Sure. You can start to see how you might use this kind of information to challenge large incumbent brands. Imagine you wanted to take on Comcast as a small regional ISP. You could pull the data for everyone who follows Comcast Cares [on Twitter] then look at all the people in your region and start following them or sending them public messages. You could even target the people who are pissed off at Comcast and give them a special offer. Dell Outlet [on Twitter] has +1.5m followers. That’s 1.5m potential new customers for HP, if they provide the right incentive to get a customer to switch.
BBH LABS: This is only one particular series of API calls, as you point out. What else can you envisage coming out of the Twitter API?
AARON: Absolutely, this is really just one tiny piece of the data that’s available. I did this more for fun and to get a better idea of how to manage large API pulled data sets than I did to answer a specific question. Twitter has calls for search, tweets, retweets, lists, etc.. If, for example, you wanted to track something like brand mentions you could do that—and not just by using the regular old search.twitter.com or paying for something like radian6 (who’d never give you the raw data). You could look at all tweets by keyword, replies, retweets, etc., and then figure out who’s saying these things, where they live, and what (or who) they have in common.
I’m going to do a followup to this that talks about how to use API data in a more tactical way, using Facebook (and probably Coke) as an example to find the answer to things like, “What day of the week should I post something in order to maximize likes, comments, etc.?”
BBH LABS: Thanks again Aaron. Keep us in the loop. We’re keen to learn more as we go.
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If you have any questions for Aaron feel free to post them under this post, or on Aaron’s own blog.
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“Information Wants To Be Free” – The Razorfish FEED report
17th November 09
Last week saw the publication of FEED 2009 and an accompanying Ad Age article by its primary author, Garrick Schmitt.
The third year of this annual, US-based report, the 2009 edition makes a bit of a departure, with the emphasis squarely on brands and the degree to which digital brand experiences shape & drive purchase. It’s received a mix of high praise and some criticism. We’ve found the report itself and the reactions to it thought-provoking stuff, so caught up with Garrick who kindly agreed to mull over a few questions with us. Here’s a run-through of what particularly caught our attention.
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Music Retail: The Rise of Digital
13th November 09
This is a good summary of some of the key shifts in music retail (although US-only data).
But what’s also really interesting is that it’s coming from a financial services company: mint.com
mint.com’s service – already brilliant on the web, and on a very strong iPhone app, now seems to be extending into data visualization and cultural commentary.
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Mary Meeker’s Economy & Internet Trends Presentation 2009
21st October 09
Posted in data, interactive
I first came across this last year, and found it to be one of the best written and most insightful papers of the year.
At first glance this year’s presentation, posted yesterday (20th Oct) looks equally essential reading. See what you think.
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“Do not glorify aesthetics”: a manifesto for Data Visualisation?
2nd September 09
We’re moderately obsessed with the world of data visualisaton here at Labs for a number of reasons: the ability to generate fresh insight from extraordinarily complex data sets, the ability to trigger radical reappraisal of familiar problems, the ability to put consumers in control of the vast quantities of personal data they generate every day. Not to mention the extraordinary fusion of technology and creativity it represents.
We firmly believe that data visualisation has a wealth of exciting commercial applications, from communicating in new ways to developing new tools, apps and utilities for clients and consumers alike. So we’ve grown slightly frustrated by the rise of visualisations that are moderately pretty but add little in terms of real insight, utility or illumination.
We’re also, as we may have mentioned, big fans of Manuel Lima here at Labs. So we were intrigued to see that he has authored an “Information Visualisation Manifesto”, a provocative (but characteristically generous and nuanced) take on the future of data visualisation which tackles head on the thorny questions at the heart of this ever-expanding field:
- Art versus Science
- Intrigue versus Immediacy
- Aesthetics versus apprehension.
Manuel comes down firmly on the side of clarity of communication versus visualisation for visualisation’s sake, citing the discipline’s roots in the desire “to facilitate understanding and aid cognition” and a growing frustration with the “eye candy” approach to the craft. Many of his principles are rooted in this utilitarian approach, reading almost like a Bauhaus manifesto (and none the worse for that):
- Form follows Function
- Do not glorify Aesthetics
- Look for relevancy
- Aspire for Knowledge
It’s a bold, purist and punchy vision yet also acknowledges the power of narrative and the role of intrigue. Indeed the question of narrative seems to lie at the heart of this Manifesto; the need to pose a specific question of the data and to weave coherent themes and stories from it. These themes then drive the aesthetic approach. As Manuel puts it:
“Form doesn’t follow data. Data is incongruent by nature. Form follows a purpose, and in the case of Information Visualisation, Form follows Revelation”
This is perhaps the key distinction between Information Visualisation as defined here and what Manuel suggests we start thinking of as “Information Art”. Within this approach, artists will freely allow form to follow data, using the random-ness this creates to add texture and interest. Take, for example, Aaron Koblin’s desire to embrace the random-ness of a data set and indeed the richness and texture added to his famous Radiohead video by “interrupting the data”:
“I think it really gives character, because I think it’s really that kind of intricacy and detail that builds character and in a sense it’s the errors and flaws that make art”.
Incongruity making art: Aaron Koblin's "House of Cards" promo for Radiohead
Both approaches are undoubtedly valid. Within any medium there will be times when we seek immediacy and times when we are prepared to be intrigued and to explore. There will be times when we want to understand our world better and times when we want to turn perceptions of it on its head. I can think of few practical applications of, say, the “Synchronous Objects” visualisation series but it mashes up art forms and messes with my mind in a truly delightful way.As ever, then, we need to return to objectives, to ask what we are trying to achieve:
- Do we want to educate around an issue, making complex questions simple?
- To shift perceptions and provoke a response?
- To offer a fresh perspective on an infrastructure question for our clients?
- To offer our consumers better comprehension and control of their behaviours?
Simply put, are we going to offer something that is either very, very useful or very, very beautiful? Either way, greater clarity of intent and greater discipline throughout the industry can only be an advantage in building credibility and engagement. Building that credibiltiy is vital if data viz is going to become not just an entertaining diversion but a vital tool for navigating a world generating more and richer data by the second.
If what we are building is neither very beautiful nor very useful, to Manuel’s final point “Avoid Gratuitous visualisations”: “Simply conveying data in a visual form, without shedding light on the portrayed subject, or even making it more complex, can only be considered a failure”.
Or as William Morris put it: “Have nothing in your house that you do not know to be useful, or believe to be beautiful”.
Ben Malbon
Mel Exon
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