Customer World

Last week Facebook's Chief Privacy Officer - Stephen Deadman, wrote about the need to refocus the debate around personal data. It was a thought provoking article where Stephen talks about the need for a kind of a new coalition between tech companies on the use of personal data.

I had also written the week earlier on my blog on the trends that I saw - Transformation of software vendors as data vendors. As I read  his piece, some interesting thoughts, challenges & framework to use personal data came to my mind. It also needs a variety of stakeholders - policy makers, governments, tech companies and citizen groups across the world to come together.  Also, Doc Searls and Dan Mitchell who I follow, added a lot of perspectives around this topic and the initiatives that are being undertaken. 

The key issue that came to my mind was, who is more empowered today to use personal data and who is the owner of personal data. I strongly feel, the individual is highly dis-empowered today when it comes to use of his or her own personal data. Very often, I find tick boxes, check boxes, cookies that outlines all kinds of T&Cs  that we literally have no control of this data. Also, the way marketers treat this data, is purely in terms of economics and there is no strand of trust, whatsoever. It represents an unequal relationship, an accelerating decay of distrust for the individual when it comes to her personal data.

When it comes to personal data, the internet has disrupted national boundaries. The data individuals leave behind, for example in Uber or Amazon or Facebook or Google or Apple to put it mildly is subject to interpretation on ownership. When it comes to offline identity, governments have found a solution with Social Security numbers  or Citizenship or the like. But, when it comes to personal data, the rules are however archaic.

The coming of a Data Passport Era

There is a need to build a ecosystem by linking offline identities of individuals thro' what I believe will look like Data Passports. This will be fundamental to building a data coalition that Stephen talks about across companies. Data Passports are an equivalent of Data Vaults that will be owned by the individuals against their passports, mobile devices, broadband connections, banking relationships etc. etc. Data Passports will have streams of an individual's personal data. This massive repository will have links to personal data of individuals and will be classified with specific lifestyle and usage behaviour tags. Like ICANN, there is a need for a non-for-profit organization - called DCANN( Data Corporation of Assigned Names & Numbers) which will be linked to the massive Data Passport APIs across various countries & personal data passport vaults.

This data passport vault, which will be owned by the individual along with other identities, will have permissions from individuals to share specific strands of data for mutually beneficial economic and social value. This kind of a data passport platform will then be shared amongst companies & governments to derive value thro' mutual exchange of trust.

This is a long journey that needs to be taken to empower and give the control back of personal data to individuals themselves. It needs a new kind of data coalition that calls for collaboration, sharing, flexibility and mindset change across borders, governments & companies to enable this. 

Last week, we saw Microsoft announcing the acquisition of Linked-In for US $ 26.2 billion. With the acquisition of Linked-In, Microsoft now has access to over 400 million accurate profiles of professionals from Linked-In across the world. Over the last year or two, I have been seeing this trend where large software vendors like Salesforce.com acquiring Jigsaw and Oracle acquiring Blue Kai, who predominantly own data. So, this got me to think, what are the implications one can expect or must see over the next few years with these kind of trends?

Meanwhile, I was also reading an interesting article written by Sangeet Paul Choudhary in his blog, where it is mentioned how Linked-In was trying to get into the enterprise CRM space but lacked the infrastructure & tools( post written by Myk Pono) and Sangeet's view on how Microsoft can take advantage of this acquisition but lacks the understanding of network & data layers.

The key questions that came-up to me was - What does it take for a software vendor to work  & behave like a data vendor or as a platform player? Also, how can all these data seamlessly flow into Microsoft's strategy of leveraging its Enterprise CRM, Windows, Azure, gaming business etc.?

To understand & appreciate this, first we need to look at some of Google's acquisition of DoubleClick, Andriod etc. way back in 2007 & 2004 which made a huge difference to their platform strategy. As Google transformed itself from a search to an online advertising platform, many of these acquisitions made sense - with Android becoming the defacto mobile OS platform while still Microsoft was managing Nokia as a Mobile Phone company and not as a platform.This led to the death of Nokia as a mobile phone brand, as Microsoft thought of it like a licensing business(which is their DNA) more than a mobile computing platform. 

If Microsoft needs to take advantage of Linked-In's acquisition & their data, then - the transformation of Microsoft as a platform company is critical. For example,they need to look at  Office365 as a central platform or a hub is critical. This free & paid subscription based platform must leverage the 400 million Linked-In professional's data for their own personal devices & computing services- Home PCs, mobiles, gaming consoles etc. This then can change the game for Microsoft. However, if we look back at history, neither Hotmail or Nokia was leveraged to its full by Microsoft due its software vendor thinking. Microsoft will have to change its strategy & execution this time.

The next most important question was the issue of Privacy. What is the sanctity of privacy information owned by Linked-In & do the limited or full permissions that was given to Linked-In by these 400 million professionals, hold good for Microsoft too or how does Microsoft use these in its platform intelligently without diluting any of the privacy issues that may arise? For this, the permission-based sharing professional community that Linked-In nurtured, needs to thrive, without advertising as the primary revenue driver unlike other online platforms like Google, Facebook etc.

For software vendors to transform & think like data vendors, it forces, disruptive platform thinking from them. It requires a services, community, subscription & marketplace mindset with a strong interplay between them. Only time will tell if Microsoft is able to make this mindset shift but transform they must, if they need to play this game on the web for a leadership position.

I was reading an interesting update on Forrester Marketing 2016, where companies & marketers were asked to take cognizance of micromoments. I don't disagree fundamentally with this theory but I was thinking how do marketers prepare & adapt to this new paradigm.

One of the top questions that came to my head was - How do marketers really identify these micromoments? In an increasingly walled garden world of Facebook, Google, Twitter, Amazon- many customers' micromoments are happening, as I write this, in different digital platforms independently. Not only that, there are ever so many billion micromoments that happen offline in a customers' life and how do marketers make sense of it?

My premise is that it is now increasingly becoming  O2O(Offline-to-Online & Vice-versa) world, marketers need to look at this very differently. Here's my view of how this should be looked at:

Intent-driven micromoments - Some digital platforms naturally fit into intent-driven micromoments. For example, Google is a great example of a digital platform where "billions of intents" are searched by customers. People don't search for a product, they search for a need.They can be searching for a home, for a restaurant, for a car, for a college education, for naming a baby to be born, comparing a product to be bought, for a holiday etc. etc. In a customer's buying cycle - the trigger, consider & search- happens here. Marketers need to find a way of dominating "intent-share" at these micromoments.

Sharing-driven micromoments - Google, as a platform, does not naturally fit into this micromoment as customers don't share their moments there. A digital platform like Facebook fits here far more beautifully & perfectly. It is not difficult to see people sharing their convocation photos during the current season, their holiday, their child's birthday, their family get-together etc. etc. Sharing-driven moments provide opportunities for marketers to blend brands with their customer's life needs and see how they can be a part of these different micromoments. Marketers need to find ways of dominating "sharing-driven moments" & align it with their brand's storytelling.

Experience-driven micromoments - Some digital platforms like Twitter, Facebook, blogs fall here as customers share their experience - good and bad - here. For example, tweeting about poor govt. services is becoming a norm and governments globally are encouraging this. The same is with product performance, customer service, product support etc. where again experiences are largely drive this micromoment and is shared with world outside.  This micromoment can be a new business opportunity for a competing brand and retention opportunity for the incumbent brand. Again, marketers need to find ways of dominating "experience-share" micromoments.

The above are largely only online micromoments but as a marketer, one needs to find offline micromoments, which they can own,  that are contextual in the households they have been bought again & again. Be it thro' embedded IoT & other "service-led" mindset transformation platforms, marketers need to find new solutions here. 

Finally, in this battle for the customer & the micromoment, the other question to be asked is, who owns the data of the micromoment & privacy related issues need to be addressed very carefully by marketers. Doc Searls, in his book talks of intent casting,  where customers play a role in sharing their intent and brands then need to play a reverse role of fulfilling the micromoment.

Managing the customer micromoment is far more complex & deep than one can think of. And marketers need to rapidly innovate to gain share of this micromoment in their customer's life thro' relevant platforms and contextual marketing.