12 | MASTERING REVENUE LIFECYCLE MANAGEMENT
Szulik, vice president-renewals at Red Hat, a pro-
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ide
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, “
so we not on
ly c
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re
about the dollars we renew, we care about retaining
every single customer, and we actually compensate our
teams by retaining what we call each opportunity. We
have other sets of KPIs, obviously, for each quarter.…
We track the retention and renewal in each quarter, not
just from future or from past quarters. “In the customer
success or customer engagement part of our organi-
zation,” Szulik adds, “we have the customer scorecard,
where we score each of our customers depending on
their engagement, how many times they call in for
support, how many downloads they do of our white
papers, how many times they engage our teams for ser-
vices, for updates, security features, et cetera. We rank
our customers, and we publish a customer scorecard to
our sales teams when it’s time to renew.”a
While subscription-based companies tend to be
more mature at measuring KPIs along the entire cus-
tomer journey, doing so may not be as obvious to
asset-based organizations—although customer expec-
tations have been amplied in both domains.
When too much information is
bad information
Successful adaptation to a customer-centric environ-
ment can depend on the quality of the data amassed and
on the skills of those who interpret it. Some businesses
are nding that while they suspect the data they are col-
lecting is valuable, they don’t know how to harness it
and put it to eective use. Their internal systems don’t
necessarily communicate with one another. This com-
plexity makes arriving at any business decisions dicult,
a fact exacerbated by a lack of analytics professionals.
Of those who say that they at least partially practice
Revenue Lifecycle Management, bad or incomplete
data (30%) is the most often cited shortcoming of their
existing programs—a factor that may be impeding
them from achieving a true overview of their renewals.
While it is a challenge to ensure that the data derived
from RLM is clean and workable, leaders in the eld
say companies that invest the time and eort to make
the most of this resource create a competitive advan
-
tage that allows for more informed decision making
and an enhanced customer experience.
“How do we make our management systems—all
our internal systems—communicate with each other,
and what kind of decisions can we make out of that
data?” Szulik adds. “How do we make sense out of
that data? I think we are increasingly hiring more data
scientists—young, very smart kids with math and ana-
lytics background—who can actually look at the data
and make sense of it. I talk to a lot of our competi-
tors and peers, and every company is going through the
same challenge.”
Back to basics
On the other hand, TSIA’s J.B. Wood says deriv-
ing basic information from data is within the capacity
of most companies, who need to start by positing a the-
ory, then testing it.
“It’s easy for most companies to ask: what do we
believe are the key consumption patterns that are help-
ful?” he explains. “It doesn’t take a lot to segment
people who are using a company’s features or prod-
ucts versus people who aren’t. Once they determine
whether or not their theories are valid, then you get
into a third stage—descriptive analytics, predictive
analytics and what we call outcome analytics.
“We track renewal rates and we track
the dollars we renew, we care about
retaining every single customer, and we
actually compensate our teams by retaining
what we call each opportunity.”
— Gabriel Szulik
Vice President-Renewals
Red Hat
“Then you start to say, wow, can I really look at
the top-performing customers—the customers who are
getting the most value and the most user adoption and
say, what are they doing? What’s the science behind
creating not just high-adoption customers but high-
performing customers—customers who are getting the
leading-edge business outcomes from technology—
and how did that happen? How do we recreate that
sequence across the entire base of customers?”
Making sure the data they are accessing is packaged
in a practical way is an issue that market leaders are
actively trying to address. But getting it done is often a
work in progress.