Today’s businesses are in a difficult
situation. Their customers demand more experiences and contextually relevant
engagements than they are equipped to deliver. This places them on a difficult
trail that they need to navigate in order to be and stay successful.
Their challenge is that technology does
help everyone, especially their customers, because, also thanks to the
consumerization of technology, it is far easier and cheaper for customers to
implement and use technologies. Good technology examples of the past decade include
the meteoric rise of messaging services and, before that, social media. As a
consequence of this today’s customer is less depending on company marketing- or
sales organizations and has a far higher reach when it comes to satisfying an
information need. Consequently, Google finds that a whopping 99.8 per cent of
all online ads are simply … ignored. Sales representatives are on the verge of
becoming irrelevant. An increasing number of studies find that customers
contact a sales representative only after a product decision has been made.
This was a topic that was already discussed during CRM evolution 2016.
Other studies determine that customers are
abandoning shopping carts already following a single poor service experience.
While these studies often are commissioned by vendors there still are too many
of them to not indicate that there is a problem. After all there is bound to be
a fire where there is smoke.
The 1990’s customer was happily working
with and believing in corporate messaging that got delivered via unidirectional
channels like TV, radio, or the newspaper.
Today’s customer uses available technologies and is always online,
digitally connected and socially networked – and trusts peers, ‘people like me’
far more than corporate executives, -spokespersons, or
consultants/analysts/influencers. This trend is clearly shown by the changes in
the Edelman Trust Barometer and it gave birth to notions like ‘a company like
me’ or the debatable one of the customer being in charge.
Customers are using available technologies
to navigate their own buying journey, which stretches across devices and
channels, is non-linear and proceeds at the customer’s pace. They are simply
following their own preferences, not a company’s. Yet customers have some
demands to the companies:
·
They want the company being
available on their communications channel of preference
·
They want the company to know
more about the product or service that they are inquiring about than they
already know themselves
·
They want the company to know
and address their intentions and not being bombarded with irrelevant and out of
context messaging. Information they volunteer to the company needs to be used
to their benefit
·
At the same time they do not
want their data being used outside the boundaries of their interest. They do
not give a perpetual license to use their information
Companies need to address this by offering
a menu of interlinked touch points that collect the right data and offer
meaningful data in real time, so that the customers can proceed on their
journey with minimum friction and loss of time. Those companies that succeed in
building this menu have a good part of a foundation for engaging in a way that
results in good experiences. Of course this foundation needs to also include
non-technical aspects like people, process, culture.
Does this work?
Studies show that concentrating on good
customer experience can be linked to tangible business benefits, like higher
customer retention, higher customer satisfaction, increased loyalty and
revenues.
It is definitely worthwhile concentrating
on engaging in a way that results in good experiences.
Yet, the supporting IT landscape at
businesses is highly fragmented with different, unconnected applications
supporting different channels. This leads to inconsistent data, duplication of
data, broken processes, frustrations, and ends in poor customer experiences. Some
examples:
·
Vinnie Mirchandani found in his
book SAP Nation that more than half of all SAP shops run more than 40 satellite
applications. And there is no reason to believe that Oracle- or Microsoft- or
other vendor’s shops are any better off.
·
A 2015 Forrester study found
that the average marketing department runs 15 applications
The ideal landscape looks different, more
consolidated. It requires the company’s systems of engagement and systems of
record being based upon a common platform that offers integration services,
analytics, AI and machine learning, amongst other services. This platform can
also be called system of intelligence (thanks to friend Abinash Tripathy from
Helpshift for this term), and manages data persistency on the data layer, which
may consist of multiple harmonized databases.
This way, signals coming in from the
customers can be reacted to with contextually relevant engagements while the
machine learning layer takes care of continually optimizing the necessary
personalization. Continuous learning leads to continuous improvement.
While this is an ideal situation a number
of case studies that I gave as part of my CRM evolution presentation clearly
show that it is possible to improve engagement capabilities for better
experiences using a Think Big – Act Small approach that aligns strategic and
tactical requirements.
The case studies that all depict individual
digital transformations
·
An Australian based mid-sized
retail company targeting higher systems resilience and systems simplification
·
A city council that streamlined
systems and processes
·
Microsoft Outlook Mobile,
embracing Helpshift’s mobile in-app support technology
·
A Swiss based food retail
cooperative that embarked on an omni-channel journey with the help of movento
show that companies need to consider four
aspects to achieve success in their digital transformation. In every case, with
different emphasis, there was a keen focus on platform, stakeholder
involvement, prioritization, and data.
The strong platform builds the core for
nimble business applications. Stakeholder engagement is key for delivering
value to internal as well as external customers and allows for prioritization
and regular reprioritization, which happens based upon a strategy and is
supported by solid data.
This is the transcript of my speech at the
2017 CRM evolution, which, as a conference, I reviewed earlier.
You can download my presentation from here.
(Disclaimer:
Helpshift is a customer of mine and movento is a company I work for; they have provided
me with information on two of the cases but did not influence me other than
making sure that I did not disclose private information)
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