If you’re not paying for
it, you’re the product. Most people know this. The basis of the business model
is that your personal data is mined and shared with all kinds of companies that
can use this data for their benefit. Mostly this data is used to sell
advertising space or intelligence to improve advertising efficiency.
The Death of Direct Marketing
What I have always found
strange is that this business model was able to grow so rapidly and even “produce”
two of the largest online companies of the world. I think this is strange
because at the same time, at least in The Netherlands, the end of what used to
be Direct Marketing was already clear:
We have seen a massive
adoption of the “no-no” mailbox sticker in the nineties and the rise of the
“don’t call me” register in the year 2000 with over 8 million phone numbers
registered (for comparison, The Netherlands has somewhere around 7.6 million
households). Those working in Direct Marketing saw the rapid decline of
conversion rates that, regardless of the new channels used, have now stabilized
to levels where it’s safe to say that > 97% of all Customers are ignoring
efforts and more likely have been
annoyed by them.
The Missing Link
With the rise of
available data, and more specifically contextually relevant behavioral data,
companies are seeing the gold. Marketers, but not just them, believe that now
they will be able to build contextually relevant offers for the right customer/prospect
at the right price, place and time. How can it not be? Adding real (time)
behavioral data to existing transactional, interactional and personal data,
will surely result in better outcomes from (analytical) marketing efforts. It’s
the missing link, isn’t it?
How Big Data Backfires
In The Netherlands ING launched a plan last
week to sell customer data so that buyers could make relevant offers to the ING customer base. That news caused quite a stir
even though ING explained it would ask for explicit customer approval to do so.
And still one-third of customers say they are considering moving their business
elsewhere (many probably won’t in the end, because they are continuing with
their busy lives; but the signal is there, not to be ignored).
ING clearly struck a
nerve. People are accustomed to the idea of being the product. They accept it
every day in the context where the benefit is clear to them. Usually it is the
benefit of use. In return they will bear the “costs” to them in shape of
“contextually relevant ads” and some privacy. But when “contextually relevant
ads” becomes the return for giving up your (financial) privacy, that is not a
very compelling offer, is it? And there is more to it.
Empowered With Little Trust
Trust is a very important
factor in relationships. We know this. Yet somehow the Big Data (in marketing)
promise seems to be at odds with it. There is a huge lack of transparency (what
data is shared with what companies and with what benefit) and even if there
was, Customers are lack tools, knowledge and skills that help them keep control
of what’s out there and what it’s used for, let alone to control the level of
benefits they gain from sharing it. Yes, Customers are more empowered than ever
before to raise their voices. When it comes to their data they have little to
voice. This must change. And yes, we can!
An Improved Promise
Vendor Relationship
Management as a
concept has been around for a while. To me this has been compelling thinking
with little practical stuff to back it up. Until a little over a year ago
when The Hub Of All Things was
founded by Irene Ng (a.o).
The Hub Of All Things (HAT) project approaches opportunities that arise from Big
Data from a multi-sided market perspective, building a personal data vault for consumers
and a platform for companies to build new business models on. I strongly
believe this is the way to move forward. As always the really good stuff takes
time, and there will be a lot of time before these initiatives bring forth
use-cases that work.
In the meantime companies
that are looking to develop Big
Data initiatives should really consider what it brings to their customers.
If we accept lessons from the past, we know that using it the way we have used customer
data to improve one-to-one marketing will only bring us diminishing returns. And harvesting data, as if it is crops on a
field to be sold for the highest bid, is not the right way to go either. At
least not when the sole aim is to enrich your company, not your customers’
lives.
Using insights from Big
Data analytics to enhance the customer experience, to enable Customers to grow
their own skills and knowledge to get their jobs done better, probably is a
better route to explore.
Big Data holds a big promise. For companies and for
customers. Only If we choose so, though. If not, customers will refuse to be
the product and the return of trust will too remain a promise.
This article originally appeared on Wim Rampen’s Blog.
About the Author
Wim Rampen
offers fresh perspectives on your customer-related challenges, based on 13+
years experience in (leading) customer facing departments & projects. In
solving the challenges you face, he applies analytical and creative
methodologies for analysis/research, problem definition, ideation, testing
& implementing the solution(s) created together with clients. For more
information visit Wim Rampen's
Blog.
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