new product marketing: a new view on market research....learning to run real research!
TRANSCRIPT
Bryan Cassady Guest Professor, [email protected]
KU Leuven Master Class: New Product Marketing3/11 Rethinking Market Research
A new view on Market Research
Learning to run real research
Bryan Cassady Guest Professor, [email protected]
About this courseIt is a sad fact that most new businesses, products and service fail. Some estimate the failure rate is as high as 90%. This course is about why products fail and what you can do to increase your odds of success.
This lecture is a part of series of 12 lectures. In my classes I use a lot of videos. If you’d like to see the presentations with videos, go to: http://www.fast-bridge.net/resources/new-product-marketing/
I hope in the pages that follow you will find new ideas and inspiration… If you’d like to download the whole class go to: http://www.slideshare.net/bryancassady2/2009-course-new-product-management-by-bryan-cassady
If you have ideas on ways to improve this course or would like help with your new products, I’d love to here from you…
Bryan Cassady [email protected] +32-475-860-757
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
A less-than-optimal "configuration" of product or service attributes and benefits is selected.
Lack of a strong sustainable position in the market
Marketers fall in love with a product no one else loves
The marketing plan for the new product or service is not well implemented in the real world.
Marketers assess the marketing climate inadequately.
The plan is too complicated
A failure to ask the right questions and a belief that everything is a big idea
No Support to get things done
A questionable pricing strategy is implemented. A weak positioning strategy is used.
Cannibalization underestimatedThe advertising campaign generates an insufficient level of new product/new service awareness.
Over-optimism about the marketing plan leads to a forecast that cannot be sustained in the real world.
Too focused on the internal game not enough on the market
The Lemming effect
Bryan Cassady Guest Professor, [email protected]
Paradigms = models, patterns the basic way of perceiving, thinking valuing
A dominant paradigm is seldom if ever stated explicitly; it exists unquestioned… transferred through culture
and unspoken business practices
William Harmon-An incomplete guide to the future
Bryan Cassady Guest Professor, [email protected]
Hot summersWarm winters
Evidence of global warming
Cold summersCold winters
Evidence of global warming
Bryan Cassady Guest Professor, [email protected]
I will see it when I believe itvs.
I will believe it when I see it
Too much research is the first type
Bryan Cassady Guest Professor, [email protected]
We often do research to check our brilliant ideas
SUGGING (Selling under the guise of market research)
Issues
Objective criteria in place beforethe research starts
Is 35% planned purchase good or bad
Clearly define your biases before you start
Focus on insight (vs. confirmation)
Do regular reality checks
Solutions
Bryan Cassady Guest Professor, [email protected]
“The formulation of the problem is often more essential than its solution”
Albert Einstein
Bryan Cassady Guest Professor, [email protected]
Research that Produces Customer Insights
Based on a lecture by M. Sawney(Northwestern University)
Bryan Cassady Guest Professor, [email protected]
A good product manager
Builds, Shares, and uses insights
Chris Start P&G
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Example
“The consumer isn’t a moron. She is your wife.”
David Ogilvy
“We don’t sell cosmetics, we sell hope”
Revlon
Bryan Cassady Guest Professor, [email protected]
today’s business
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Offering (WHAT)
Process (HOW)
Presence (WHERE)
Customers (WHO)
1
4 2
3
Networking
Brand
Supply Chain
Organization Value Capture
Customer Experience
Platform
Solution
Bryan Cassady Guest Professor, [email protected]
Offering (WHAT)
Process (HOW)
Presence (WHERE)
Customers (WHO)
Networking
Brand
Supply Chain
Value Capture
Customer Experience
Platform
Solution
Organization
Bryan Cassady Guest Professor, [email protected]
Offering (WHAT)
Process (HOW)
Presence (WHERE)
Customers (WHO)
Networking
Brand
Supply Chain
Value Capture
Customer Experience
Platform
Solution
Organization
Bryan Cassady Guest Professor, [email protected]
Offering (WHAT)
Process (HOW)
Presence (WHERE)
Customers (WHO)
Networking
Brand
Supply Chain
Value Capture
Customer Experience
Platform
Solution
Organization
One place all The info
Answers in 30 minutes
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Using observation to formulate an idea or theory. “Qualitative” or “Interpretative” research draws on inductive reasoning.
Sheba cats are part of the family
Inductive Reasoning
Taking a known idea or theory and applying it to a situation (often with the intention of testing whether it is true). “Quantitative” or “positivist” research draws on deductive reasoning.
Sheba buyers are 240% more likely to buy pet magazines
Deductive Reasoning
Bryan Cassady Guest Professor, [email protected]
Qualitative Research Quantitative Research
Also Known As interpretative / responsive positivist / deductive
Type of Reasoning (usually) inductive (usually) deductive
Objective Generate insights that lead to hypotheses
Validate insights by testing hypotheses
Outcomes Illuminate a situation to create deeper understanding and insights
Accept or reject a proposed theory, or get specific answers to well - defined questions
Methods Qualitative, eclectic Quantitative, rigorous
Approach to Validity truth seen as subjective and socially constructed
truth seen as objective and universal
Bryan Cassady Guest Professor, [email protected]
New understanding that is actionable and competitively unique
Interpretation of the research findings
Consider carefully the research objectives.
Data Analysis and Data Reduction
Traditionally, marketing researchers and research
agencies stop here
Bryan Cassady Guest Professor, [email protected]
Of most value because offers new ways of looking at markets that lead to
competitive advantage
Summarizes the implications of the research for the business
Selected information that is of interest, but lacking in implications
Informs the business about a market, but no indication of relative importance
of different pieces of information
Of little value because it is usually difficult to understand and interpret on
its own.
Bryan Cassady Guest Professor, [email protected]
Inductive, Qualitative, Exploratory Research
that Produces Insights
Deductive, Quantitative, Confirmatory Research that Validates Insights
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
New Products focus…
Proactive, Episodic
Reactive, Routine
Validation Research
Exploratory Research
Bryan Cassady Guest Professor, [email protected]
Customer insights
Ideas from Innovative
Customers and Partners
Patterns in Customer
Transaction Data
Observation of Customer Behavior
in Native Surrounding
Anomalies and Discrepancies
Metaphors and Analogies
Introspection, Intuition and Brainstorming
Bryan Cassady Guest Professor, [email protected]
Top Management
Product Development
Legal and corporative
affairs
Corporate Marketing
Market Research Product
Marketing
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Worst practices Best practices
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Source : McKinsey
Finance &Accounting
Marketing
InformationService
HumanResources
MarketResearch
How useful is the information?Not very1 2 3 4 5
very
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
How do you think the insight was developed ?
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
His conclusion… the idiots errors cancelled each other out
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
“Bringing new members into the organization, even if they’re less experienced and less capable, actually makes the group smarter simply because what little the new members do know is not redundant with what everyone else knows.”
(p.31)
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Alpha Group
138
132 135
139
135
137
Diverse Group
121 84 111
75 135 31
Bryan Cassady Guest Professor, [email protected]
“Most of the time” the diverse group outperforms the group of the best by a substantial margin.
See Lu Hong and Scott Page Proceedings of the National Academy of Sciences (2002)
Bryan Cassady Guest Professor, [email protected]
Alpha Group
ABD
ADE BCD
ABC
BCD
ACD
Diverse Group
AHK FD AEG
EZ BCD IL
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
collective intelligence increases as the “herd mentality” decreases and the people in the group express what they genuinely think rather than going along with whatever everyone else is saying.
“The more influence a group’s members exert on each other, and the more personal contact they have with each other, the less likely it is that the group’s decisions will be wise ones.”
(p.42)
Bryan Cassady Guest Professor, [email protected]
Decentralization means everyone in the crowd will try their own approach to the problem rather than having their efforts
directed from the top down.
Bryan Cassady Guest Professor, [email protected]
Mon Tue Wed
Bryan Cassady Guest Professor, [email protected]
Mon Tue Wed
Bryan Cassady Guest Professor, [email protected]
Mon Tue Wed
Bryan Cassady Guest Professor, [email protected]
Brad: (8-8)2 +(10-12)2 +(10-9)2 = 5
Matt: (10-8)2 +(12-12)2 +(8-9)2 = 5
Crowd: (9-8)2 +(11-12)2 +(9-9)2 = 2
Bryan Cassady Guest Professor, [email protected]
(Brad-Crowd)2 = 1 + 1 + 1 = 3
(Matt-Crowd)2 = 1 + 1 + 1 = 3
Bryan Cassady Guest Professor, [email protected]
Implication: Diversity can trump skill
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
“If a group satisfies those conditions [diversity, independence, decentralization, aggregation] , its judgement is likely to be accurate. Why? At heart, the answer rests on a mathematical truism. If you ask a large enough group of diverse, independent people to make a prediction or estimate a probability, and then average those estimates, the errors each of them makes in coming up with an answer will cancel themselves out. Each person’s guess, you might say, has two components: information and error. Subtract the error, and you’re left with the information.”
– James Surowiecki
Bryan Cassady Guest Professor, [email protected]
Armstrong’s seer-sucker theory…no matter how much evidence exists than seers do not
exist, suckers will pay for the existence of seers…
Bryan Cassady Guest Professor, [email protected]
Why do we believe in seers…
because we get fooled by randomness…
because we are looking back not looking forwards..
Bryan Cassady Guest Professor, [email protected]
Why not just hire an expert…
Because, groups usually do better than experts
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
ConclusionsCheap crowds ≈ Expensive researchGreater descrimination between ideas
New Product Concept
Monadic TestWith matched samples of 100
in the target market(Top 2 Box Purchase Intent)
Research Market 1*
With diverse group of 500 people- *betting
(Top 2 Box Purchase Intent)
SignificantDifferences
A 85 86
B 83 82
C 81 90 +
D 78 91 **
E 74 69
UK Norms (top 2 box) 67 67
F 64 24 ***
G 64 22 ***
H 54 53
I 49 39 ***
J 43 17
Respondent Base Sizes: Monadic = 100 per cell / Research Market *Betting =502
Fig. 1, Top Two Box Purchase Intention Result – Research Market 1*
Bryan Cassady Guest Professor, [email protected]
Bryan Cassady Guest Professor, [email protected]
“The best collective decisions are the product of disagreement and contest, not consensus or compromise.”
(p.xix)
“The best way for a group to be smart is for each person in it to think and act as independently as possible.”
(p.xix)
Bryan Cassady Guest Professor, [email protected]