As I’m guessing everyone is aware of by now, MLC’s B2C team is currently knee-deep in our 2012 research project. This year, we’re looking into analytics and “Big Data” – a space where there seems to be a lot of potential (and a lot of hype) but not too much in the way of best practices or frameworks for moving forward.
So we’re currently trying to tease out, exactly, what people are using analytics for, and what ultimate goals those actions feed into. When we’re on the phone with members, overwhelmingly we’re hearing that data brings enterprises closer to the consumer, leading to all sorts of better outcomes: more resonant marcomms, higher margins through more effective price discrimination, and, for some companies, better products that arise through access to protected, proprietary data assets (like Nike+).
I could imagine two ways that data might feed into customer centricity (whether it’s helping or hurting). Story number one more or less goes: we as a company had very little idea who our customers were, what they liked, how they socialized and what kind of products they bought from others that they could be buying from us. When we integrated advanced marketing analytics and unstructured data, the numbers told us more about our customers than we already knew, and we became more customer-centric.
The other story goes: we as a company had very little idea who our customers were, and therefore we integrated big data and advanced analytics. But we couldn’t choose which data to use, and our analysts and marketers got caught up in a never-ending cycle of analysis paralysis. Moreover, thinking about the consumer as an abstract concept in data led to people forgetting the importance of experience and observation. In the process, we lost sight of the softer, qualitative ways that we learned about customers, and ended up becoming less customer-centric.
Which of these is more plausible? I’m not sure, but my gut says it’s the second story. I can count the number of companies with great, consumer-apparent uses of data on my fingers and toes, and analytics vendors have bigger appetites than that; there are surely hundreds of companies out there with data on their hands of varying effectiveness.
So, we thought we’d bring the question to you. Answer the poll below to let us know how you feel about data and analytics’ role in customer-centricity. Want to add some details? Let us know in the comments section.

If you’re a B2B marketer, you know that one of the biggest overarching trends in your work over the last few years has been the gradual complication of the sales process. Budget pressures facing business buyers, the greater availability of information via the internet, buying committees and all sorts of other roadblocks and tangles have managed to fit their way into the path between Sales and the sale.
With social media moving towards the maturity phase in a number of big companies, we’re finding that more and more members are looking for formal plans from their social media teams – detailed ideas about what the team will do in a channel in a given year.
As detailed in our
Many B2C marketers these days are turning to data and analytics to drive customer-centric outcomes. But the higher you go up in organizations, the more difficult it is to get a true picture of what your customer is like – competing priorities and the abstraction needed to run a very large enterprise run counter to focus on details of the customer experience.
Assume we hold the supply curve constant. To increase the amount of consumer surplus under the demand curve, we can do one of two things:
Banks and other financial companies have long-since taken notice: having a mobile presence is a giant boost to customer satisfaction and retention. How giant? Well, to 
