2. Agenda
Introduction
The Pricing Manager’s Goals
What’s Stayed the Same
What’s Changed
Why Things are Tougher Now
The Case for Improved Analytics
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3. The Problem
Demand Planning
Systems X Supply Planning
Systems
X
Price Planning
Decisions not united,
not optimized for profit
Systems
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4. Why I Am Here
Ran Intel’s MMBP for four years
Not perfect, but pretty good
Personal interest in advancing the art & science of
pricing
Therefore became investor in & friend of Rapt
Enjoy discussing the whole pricing process
Even without being able to use Intel’s data
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5. The Pricing Manager’s Goals
Maximize profit while meeting
the company’s short-term
commitments and long-term
strategic objectives
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6. “Tools” Have Changed Mostly in
Appearance…
…and in Complexity
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7. Basic Strategies Remain the Same
Methods
Value
Penetration
Skim
Follower
Cost
Different pricing methods available to remain
consistent with brand and competitive positioning
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8. As Do Basic Pricing Frustrations
“Well, I just talked
to customer X, and
they said…”
Sales VP
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9. However….
Much has changed
...Leaving Less Time To
“Get It Right”...
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10. Product Lifecycles Are Getting Shorter ...
Sales
Time
386 486 Pentium® Pentium II
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11. ...Thereby Pressuring All Marketing
Functions
Product management
Communication
Positioning
Line item strategy
Channel relations
Development
And of course...pricing
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12. Dealing with a Globalized Economy
As Well
Originally, Enter “Dell” and
mostly other direct
corporate, sellers…
mostly
US/Europe,
mostly While Asia
personal explodes as a
account producing AND
sales consuming region,
Then consumer with enormous
buyers, thru retail number of small
channels dealers
All This With Standardized Products and Prices
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13. And Finally…
Product complexity – bundles, “solutions”,
configurations
Uncertain demand across boundaries and
segment
Factory execution risk given reduced inventories
Increasing earnings pressure
Distributed ownership of the marketing “4 P’s”
More diverse customer expectations and behavior
More complex laws (e.g. antitrust)
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14. What All This Add Means
Results? Smarter customers, shorter
pipelines
Implication? Need for more pricing
precision
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15. Meeting the Challenges
Requirements
Good, real-time data
Good processes
Good people
Good tools
Implications
Automate (across the chain)
Optimize (the pricing decision)
Automation will likely NOT be driven by pricing
teams
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16. Therefore, for the Pricer…
Exquisite Focus on Data and
Analysis
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17. Find the Curve
Get a quantitative handle
on how your markets will
Volume
respond to price.
Be relentless is finding this
data
Price
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18. Fill the Curve
Offer as many products
as the factory can deliver
V and as the customer can
o understand*
l
u
m
e
*Airline problem
Price
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19. Move the Curve
Evaluate new
products, or
product
V features, to
o
l change the
u customer’s
m
e perception of
value
Price
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20. Getting from Here to There
Technology for data capture is
critical
Integrate, automate analytical
business processes
Consider experiments with the
4P’s
Take advantage of recent
advances in pricing intelligence
software
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21. Imperative to Focus on TOOLS
Intelligent pricing software can now
Uncover (then optimize) price / demand relationships
Deal with complex product offerings, lifecycles
Factor in the competition
Connect pricing and supply
Must and can work with people and business
processes, but choose…
Market math and decision science
versus simple arithmetic
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22. There is Upside for Those Who
“Get It”
Created Intel’s system
integrating supply, demand and
pricing
Retained oversight of this for ten
years, regardless of his job
Uncertainty, rapid change and complexity => a
great time to manage pricing
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