Profit Based Selling Using Analytics
Historically, sales performance has been measured and reported
in terms of total revenue. This is largely because the capture of
cost of sale was too complex and the reporting too tedious.
Fortunately, things have changed and using business intelligence
tools to capture both transactional and operational input into a
single sale, not only can sales performance profitability be reported,
but so too product profitability and customer profitability.
This has enabled businesses to become less product focused and
more customer focused, finally actioning their promise to be more
customer centric.
Having a corporate strategy to drive a minimal 15% margin across
all products, unless they have a strategic contribution was easy
to say and difficult to measure, let alone deliver.
Using sales analytics, key performance indicators linked directly
to such corporate objectives are now possible.
At a glance, the sales manager can determine whether the $20million
dollar a year product line has a 20% profit margin or a 2% profit
margin.
This has lead the focus away from the ineffecient revenue based
selling process to the more logical profit based process, changing
not only the way businesses veiw their performance but also in the
way processes are structured and decisions made.
Overall, analytics provide a richer, more dimensional view into
the business indicating what and who is driving business profitability.
This has shocked many new analytics converts, to the extend that
some struggled to believe the new insight was in fact true.
Evidence based decisions mean that product lines can be managed
by region and market microsegments. It can also reveal which sales
tactics used by which sales teams have proven more effective - and
more critically, further analysis can reveal why.
The old marketing adage that "marketing is only 50% successful
- but we don't know which 50%" is no longer true, not when
analytics are employed.
Time wasted debating what is driving sales and profits is no longer
as performance drivers become very evident.
The outcome is a more focused selling strategy, timelier tactics
and more profitable outcomes.
This capability is available to every sales person - not just managers.
Individuals using personal dashboards can track their own productivity
and sales performance by account and customer; by product and time
period.
This allows sales people to fine tune their pitch to each individual
customer - with a massive impact in close rates, cost of sale and
thus profitaiblity.
Overall, sales analytics supports a profit-centric business model
that is totally aligned with product development, marketing, customer
support and corporate objectives.
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