A Minute is a Long Time–On the Internet

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They say that a week is a long time in politics.

That was certainly the case when there was a “daily” news cycle. Any announcements or revelations needed to be revealed in time for stories to be written, edited, photographs to be prepared, processed and newspapers to be printed. Breaking news was the domain of the more instantaneous broadcasters like radio and TV. And even then, only the most explosive news items would break programming.

But the web changed all that.

It has taken two decades at least, but the internet has now thoroughly transformed the way that we source, gather, verify and consume news. There has been a breakdown between those that produce the news, those who are the subject of the “news” and those who consume it. And the structures which once provided certainty, built trust and way points for navigation in a chaotic and busy world have, in the process of this disruption, been swept away.

These structures have been replaced by data.

Data about data.

In a way, it was ever thus.

And the new arbiters of this data – our navigation beacons are themselves built of data. Google. Facebook. Twitter. LinkedIn. Pandora and Amazon. They sound like the names of ancient gods straddling the primordial chaos – but they are massive enterprises designed not to serve, but to create value. Revenue. Share holder returns.

So think about what happens in an internet minute (see the infographic from Intel). Every minute of video. Every byte of uploaded photo data. And every tweet costs someone somewhere something. The question for you today is what does it cost YOU?

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Consuming Big Data–The Internet in 2015

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Everything that we do on an internet connected device leaves a digital trail. Whether it is an internet enabled refrigerator, a PC, smartphone or tablet – somewhere there is a log file recording of what your device did, what it connected to and when. And if that involves sending files, or creating or consuming content – then that data grows – for those files would be copied, replicated or cached in each location.

Google’s Eric Schmidt famously suggested that from the dawn of civilisation through to 2003, the human race had created roughly 5 exabytes of data. But in 2010 (and beyond), the equivalent is being created every 2 days.

Clearly the proliferation of data since 2010, the growth in devices and digital data consumption has skyrocketed. Not just in Australia. Not just in the US or Europe. But across the globe.

How BIG is big data?

Understanding the scale of data on a massive global scale is challenging. But this infographic from the folks at Cisco provides some great examples (see the “Great Wall of China” quote”).

But the most interesting part of this infographic is not that scale – but the patterns of consumption. Sure we know that video is hot, and will continue to be so. But I like the way that types of video have been broken down. Here are some brief thoughts on each:

  • Short form: This is much like our current viewing behaviour – short clips on YouTube and Vimeo are consumed as entertainment snacks. As we shift our attention from the TV to the device, we will also dedicate more time to longer forms (as suggested in the data)
  • Long form: We will see an explosion not just in entertainment content, but in education and other forms of interactivity. Connected Consumers will challenge production houses, brands and broadcasters to adapt their content to be more interactive, engaging and yes, social. Longer form video will drive demand for those with storytelling and narration skills and experience. Look to see specialist practices and capabilities growing in the areas of short and longer form video.
  • Live internet TV: What live blogging did for events of all kinds will translate to the web. We’re seeing small experiments with apps like Vine, but we can expect this to accelerate in the next two years. If
  • Ambient: The use of music and sound to influence buyer behaviour in retail environments has been long understood. In the coming years, we will see the same sophistication applied to video. This is likely to prompt a deeper connection to analytics products that can measure retail and behavioural impacts.
  • Mobile: For many people, the mobile experience will be the FIRST SCREEN and ONLY SCREEN. This will drive greater innovation in storytelling as well as in the use of location based targeting and services. Video without big data will become irrelevant (not to producers) but to consumers. Video will need to become strategic.
  • Internet PVR: We are already seeing this happen – but can expect moderate growth. But with a growing on-demand culture, the focus will shift away from patterns of collecting to patterns of consuming and sharing.

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Advertising in 2020 – Let’s Hope There’s Fire

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John Willshire and Mark Earls make you think. They chisel and shape ideas until they are sharp enough to be carved into your mind.

As part of the Wharton Future of Advertising program, they put together this presentation that provokes a conversation around advertising and what it might look like in the year ahead. Take a look through, it’s quick and it will challenge you. Then read on below …

One of the things that caught my attention was a simple statement. “Make things people want [is greater than] Make people want things”.

This seems to be self-evident, but in practice it requires an alternative way of thinking. Almost all of our marketing theory and practice centres on the stimulation of desire. We deliberately create items, objects and experiences that are limited in their availability and then we amplify not only the fact of existence, but the fact of their scarcity.

And yet, we live in an age of abundance. We all know it. Yet we still play out this game of scarcity. I find it interesting. I find it fascinating that we are complicit in this form of cultural production that we call advertising. But I also predict a seachange ahead.

We are going to have to work a whole lot harder to generate the kind of engagement and interest that advertising once commanded. Our connected consumers have outflanked, outranked and even out-performed us. Mark and John are right. We will need marketing and advertising that is bolder than we have been in decades. And decidedly more primal. We’ll need to relinquish the calculator and the paperclip and step out from behind the mirrored glass and meet our customers face to face.

Big data may hold the answers – but we’re far from understanding the most basic of questions. Mark and John have lit a signal fire but it’s not off in the distance. Look down, it’s right under our arses.

The Mayan Apocalypse? No, Just Eloqua’s Early Christmas Joy

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Sneaking a last minute deal in before the holiday break, Oracle announced an $871 million acquisition of marketing automation vendor, Eloqua. Representing a 10x multiple on Eloqua’s annual revenues, it marks the first of what is likely to be a string of consolidations in the marketing technology space over the next 12 months. The deal is expected to close in the first half of 2013.

  • A win for Eloqua customers that comes with a catch . This deal looks set to accelerate the Eloqua solution roadmap with Oracle bringing additional focus and resourcing to solution improvements already slated for 2013. That means that existing customers can more readily tap the customer experience functionality that supports front of house operations through Oracle’s existing sales, service, commerce and social foundations as well as the big data and analytics capabilities that are vital to the digital marketer’s credibility. Many Eloqua customers will have made companion investments in Salesforce and will be keen for ongoing reassurance that integration will continue to be supported.
  • Oracle secure a beach head beyond the IT line of business.The acquisition significantly bolsters Oracle’s marketing credentials – adding mature, cloud based marketing automation capabilities to their Customer Experience Cloud offering. Eloqua’s strength has been its strong connection with the marketing departments at its 1200 customer locations, and this provides Oracle’s sales team with a vital beach head beyond the IT line of business. And with the projected shift of technology budget from the CIO to CMO over the next two years, this will be essential to the longer term success of the Oracle’s Customer Experience Cloud and the previous Market2Lead and Vitrue acquisitions.

Why marketers should care

Marketers have fallen behind in the technology stakes – suffering under the weight of outmoded marketing models and outflanked by their fast moving, tech savvy, connected customers. This announcement brings yet another level of change and signals a new wave of consolidation and innovation that will challenge marketers in the year ahead.

On the positive side, the investment in thought leadership and focus on marketing technology coming from the likes of Adobe, IBM and Salesforce is helping to educate and mature the market. This will not only assist CMOs to formulate business cases and justify technology and skills investment through 2015, it also provides fertile opportunity for the marketing automation vendors like Act-On, Hubspot, Marketo and Neolane.

Where next?

Oracle has thrown down the gauntlet to the other enterprise software vendors. Who will blink first?

The acquisition has revealed a gap in the Salesforce marketing offering. SAP is nowhere to be seen. And Adobe and IBM can no longer afford to sit on their hands. Oracle’s bold move may have brought Christmas early to the team at Eloqua, but does it usher in the Mayan Apocalypse for enterprise marketers or represent a new dawn? 2013 is just around the corner.

Eloqua has released a FAQ and an announcement deck that can be downloaded from their blog.

Instagram Don’t Want Your Pictures, They Want Your Influence

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Over the last 24 hours, the changes to the Instagram social network’s terms of use have rippled across the web. Many took to Twitter to voice their displeasure, while others determined it was a non event. In many respects, it was only a matter of time before Facebook began to expect a return on their $1 billion investment in the nine person strong social network startup.

Instagram responds

As I suggested yesterday, Instagram will measure community response to the changes and are likely to return with a watered down version of their terms of use. In a blog post from co-founder, Kevin Systrom, Instagram have moved to clarify the plain English ambiguity that comes with legalese.

Our intention in updating the terms was to communicate that we’d like to experiment with innovative advertising that feels appropriate on Instagram. Instead it was interpreted by many that we were going to sell your photos to others without any compensation. This is not true and it is our mistake that this language is confusing. To be clear: it is not our intention to sell your photos. We are working on updated language in the terms to make sure this is clear.

The post also moves to clarify ownership rights and privacy settings – though it is worth pointing out that the privacy features in Instagram are not yet as granular as those offered by Facebook.

Big data is the hidden gold

The world of advertising has shifted substantially in the last 2-3 years. Those immersed in the world of digital will have a more nuanced understanding of “innovative advertising that feels appropriate on Instagram” than the general public. It’s not simply a case of a social network selling your photo for use in an advertising campaign. It’s about using the META DATA associated with your photo to CONTEXTUALISE digital advertising within YOUR social network.

So, imagine that you ride a Ducati motorbike (as I used to). If I took a photo of myself on a Ducati motorbike at the local dealership and tagged it accordingly, that photo may appear in a Facebook ad (or an ad served via the Facebook Exchange elsewhere on the web). But most importantly, because we know consumers trust friends more than we trust brands, we are more likely to respond to advertising with an implied (or real) endorsement. So when my Ducati ad appears with a well crafted call to action, and you click through to an offer from your local motorcycle dealer, Instagram will have done its job – delivering a highly targeted contextual advertisement to a highly targeted, socially-influenced audience.

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This can occur because each time you take a photo with Instagram, you upload not only the photo itself, but you connect that photo with other identities and data, like:

  • The caption of the photo and a list of hashtags in the caption
  • Location of the photo – latitude and longitude, and sometimes a location name
  • List of comments on the photo, each with the text of the comment and details about the comment’s author
  • Date and time the photo was created
  • Link to view the photo on the web in different sizes – thumbnail, low resolution and standard sizes
  • Count of likes, with details of each user who liked the photo
  • Details of the user who posted the photo – their username, website, bio, profile picture and full name

You’re not the product, your friends are

We often say that when you use a social network and the price of entry is free, that YOU are the product. But that is only half the story. You are not the only product – your friends and social connections are too.

And in a world that is inundated with messages and messaging, cut through comes via trusted sources. That’s why Instagram (or Facebook) don’t want your images, they want your influence, reputation and social connections.

What Facebook’s Year in Review Reveals About Us

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facebooktrendsAus The promise of big data is that it can reveal to us the truth in our behaviours, not just our beliefs.

Just think, for example, about your internet use over the last year. Or month. Or even week. What did you do? What sites did you visit? What did you click on? Why did you share a page or two, a link or a video? Now, imagine if we did the same thing for your friends – if we knew what they looked, liked and loved?

facebookstories2 And if we did the same with their friends, and their friends’ friends.

If we could overlay that in some way to create a visual tag cloud, we may just get a sense of what is important to our communities. We may garner some magical insight into what it is like to live in this rapidly changing world.

Well that’s what Facebook Stories is doing. Of course, it works best if you are a heavy Facebook user (I’m not), but it’s an interesting experiment that shows everything from your own personal timeline stories through to the trends that impacted us by country and by category.

But, for me, the most interesting thing that Facebook Stories reveals is where the pulse of our humanity lies. Take a look at some of the trends – you’ll see what I mean.

From Big Data Science to Big Data Action

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From the dawn of civilisation through to the year 2003, Google calculates that humans have produced 5 exabytes of data. That’s a lot of stone tablets. But with the explosion of mobile devices, 3G and 4G networks and social networks, we now produce 5 exabytes of data every two days. That means that every photo you upload to Flickr or Facebook, every video you share with friends on YouTube or Vimeo and every one of the billions of tweets broadcast on Twitter is contributing to the avalanche of data.

But add to this the fact that each of these items comes with contextual data. At the same time that you update your profile or publish a photo, you may also be sharing your geolocation, your likes and preferences, your upstream and downstream behaviours, and your attitude to topics (based on sentiment). You may also be sharing your trust network of on and offline friends.

And this is just the tip of the big data iceberg.

The rise of big data is a blessing and a curse for CMOs

While analytics have been available to businesses for decades, but it has largely been the domain of business analysts and researchers. The rise of big data now places analytics firmly in the marketers court. Earlier in the year, a CMO Council and SAS report indicated that only 26% of marketers leverage customer data and analytics to improve decisions, targeting and personalisation.

The blessing of big data is that it is readily available to most organisations in the form of structured business data and the publicly available unstructured data coming from social networks. The curse is that in-house skills and experience with big data is scarce – with a number of marketers now looking to bolster their teams with big data scientists and data analysts.

Marketers don’t need data they need action

It’s not data scientists that marketers need, however. Already we are seeing software vendors emerging who are able to tap structured and unstructured data sources to produce business-ready dashboards. Mapped to best practice business processes, these dashboards and analytic tools promise to release marketers from the fear-inducing data tsunami that looms on the horizon.

Platform players such as Anametrix, for example, transform the science of data into actionable business knowledge for key business processes. This means you can spend less time and resources understanding the data and its various relationships, and focus instead on making decisions that impact the top and bottom lines of your business.

A great example of what can be achieved is the BrandWatch US Electoral Compass. Drawing on Twitter data and press discussion generated since July 2012, the compass matches structured information (location, policies and dates) with unstructured information (tweets, sentiment etc) to reveal the topics that are important to American voters. Now, this is not data from focus groups – it’s stated intention as revealed via status updates, commentary and attitude.

And as business analytics packages get better at mapping business flows, these reporting systems will become ever more granular. They promise to revolutionise the way that businesses engage with their customers – and that will bring another set of challenges for CMOs. The question is – are you ready for this new form of customer engagement?

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What Your Purchases Reveal About You

The promise of big data is that it produces a win-win outcome for the customer and the business. As consumers, we relinquish our fears over (and some rights to) privacy, and in return receive a range of benefits – free access to networking tools, file and photo sharing, email and so on. It’s a well-worn path created by technology companies like Google and Facebook.

But who really wins in this big data exchange? For example, Dominos Pizza found that by analysing data, more pizza is ordered when it rains. This simple insight allows them to target offers to people in locations where it is inclement – using, of course, big data to do so. There could be a win-win here in that rainy weather may prompt us to seek warm, convenient food such as pizza – but we may also ask which comes first, the pizza craving or the suggestive sell?

This infographic from CamCode reveals some surprising statistics about the big data that is already out there and available to your favourite retailers. And while the advertising may suggest that you are important to retailers, it seems they don’t really want YOU. They want your data.

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