The
Marketplace MasterTM
is a monthly email publication on professional service
marketing from Expertise Marketing, LLC.
About This Issue
Last month we discussed whether data
mining is competitively smart or not worth the
effort for professional service firms. Naturally,
we feel that data mining is well worth the investment,
but one has to understand that it takes focus,
effort, and commitment.
One of the payoffs with data mining is that it
allows you to get closer to your clients. Read
on for our explanation, and be sure to download
the data
mining case study.

Suzanne
Lowe
Author, Marketplace Masters: How Professional
Service Firms Compete to Win
President, Expertise Marketing, LLC
Get Closer to Clients
with Data Mining
Data mining is a natural fit for professional
service firms because it taps into their knowledge
– the critical source of their unique added
value to clients. It can be deeply ingrained in
their cultural style. And they can use it to learn
how to exceed their clients’ expectations,
and do so uniquely.
One of the most compelling reasons to use data
mining is to get closer to clients. By learning
more about client preferences and habits, a firm
can then align its strategic direction to capitalize
on fruitful opportunities.
Our research found many ways that professional
service firms are using data mining to get closer
to clients. Below, we examine the five methods
that we found work for many firms:
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- Service Delivery – data mining
can highlight a shift in the way a firm’s clients
purchase its services. With this knowledge, a firm
can become more flexible or offer customized services.
For example, it might prompt a firm to start offering
on- and off-site project and work teams to foster
new perspectives between clients and consultants.
- Innovation – by noticing
a decline in profit margins for a particular service,
a firm can focus on improving its pipeline in that
area. It might, for example, pilot a new service with
selected clients.
- Client Relationship Management –
the data may uncover relationship patterns between
clients and members of the firm. For example, perhaps
more clients are beginning to prefer a particular
method of communication such as extranets or opt-in
email newsletters. By identifying client preferences,
a firm can use these technologies to get closer to
them.
- Competitive Practices – learning
how clients interact with the competition can help
a firm increase its effectiveness in final interviews
(aka “beauty contests” or “shoot-outs”).
In response, a firm may choose to offer free solutions
or even collaborate with competitors in order to win
engagements.
- Market Research – the revelations
from even the simplest data mining can spur a firm
on to further market research, thereby augmenting
its database with better information and creating
the potential for even more fruitful data mining.
In addition to relevant information gleaned from the
data, data mining can offer deeper internal rewards:
the effective practice of data mining actually encourages
professionals to think less about their own personal
success and more about their organization’s overall
success. The result can be a significant shift away
from the individual “don’t-touch-my-client”
silos that exist in many professional firms.
Often, professionals hide behind the excuse of “I’m
serving my client; I don’t have time to enter
data into a database!” Yes, the idea of taking
time away from client work to give up your knowledge
about that client can seem antithetical. Yet, by doing
so and by analyzing previously unnoticed client patterns,
a firm can formulate difficult-to-copy strategies that
ultimately benefit the client – and the firm –
in new and unanticipated ways.
Data Mining in Action
The most effective data mining occurs when technology
systems are linked to each other, which allows for the
simultaneous analysis of separately tracked but highly
relevant relationship, financial and operational information.
Numerica Group plc,
a U.K. based accounting and business consultancy, built
its entire competitive strategy around this type of
data mining. Numerica built links between its contacts
management, practice management and financial accounting
systems to create a deeply integrated process of information
capture and management.
Numerica found that its data mining commitment helped
it increase its effectiveness in winning new business
opportunities, cross-sell services to targeted clients,
and rapidly integrate new staff and allocate them appropriately
to client projects. Results are increased profitability,
streamlined sales and marketing processes, heightened
service quality, and increased ROI on marketing and
sales.
Read
the complete Numerica case study
(PDF file)
Take the confidential, web-based
Marketplace Masters professional
service firm differentiation assessment test for
instant feedback on whether your firm is doing differentiation
right.
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