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Current market research methods, and in particular surveys, don’t provide reliable insights on how your customers will really behave - nor can they put a precise monetary value on their choices. Failed product launches, sub-optimal product designs & ineffective marketing campaigns are often the result. Using intelligent software simulations, Managility Predictive Customer Analytics help you to precisely predict outcomes and cost effectively test scenarios. Managility Predictive Customer Analytics combine the most comprehensive, patented choice modelling technology framework available on the market with in-depth subject matter and industry expertise. Choice modelling, a concept developed by Nobel Prize winner Daniel McFadden, provides a scientific framework to uncover how humans make decisions when faced with alternatives.
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Predictive Customer Analytics (PCA)
Beyond the Surface
What is it about?
FOUNDATIONS
Professor
Daniel McFadden
2000 Nobel Prize Winner
Berkeley, MIT, University
of Southern California
Focus Area: Discrete
Choice Theory
Professor
Daniel Kahneman
2002 Nobel Prize Winner
Princeton, Berkeley
Focus Areas: Behavioural
Economics, Hedonic
Philosophy
Can we really
predict
customer
behaviour?
What are those choices worth?
Predictive Customer Analytics (PCA)
Demos
Winter Festival - Video
http://vimeo.com/96051392
Predictive Customer Analytics (PCA)
Demos
Winter Festival - Model
http://managility.com.au/PCA/event/index.html
Predictive Customer Analytics (PCA)
Demos
Insurance - Model
http://managility.com.au/PCA/insurance/index.html
Predictive Customer Analytics (PCA)
Demos
Magazine Cover - Model
http://managility.com.au/PCA/mag/index.html
Benefits & Power of PCASimulation can test the demand for a number of attributes, such as:
product features, pricing and packaging
Benefits & Power of PCAUnderstand the value attributed by key customer
segments
Benefits & Power of PCAUnderstand the price elasticity and
demand curve for your product or
services
Benefits & Power of PCAAssess the customer’s ‘Willingness-to-Pay’
for product features
Benefits & Power of PCAPredict the shifts in market shares
Benefits & Power of PCAUnderstand the true value of your
brand
The PCA ProcessAssess strategic objectives: e.g., find
optimal price, product features, identify real
motives of customers
Configure PCA Model according to objectives, &
model the choices in realistic environment: e.g.,
different product/price choices in fridge
Define and supply relevant sample: i.e.,
target group that will go through model
Run actual process:
sample group cycles through
choice models
Formulate final outcomes &
recommendations report
Contact Us
1300 00 PALO (+61 1300 00 7256)
info@managility.com.au
www.managility.com.au
facebook.com/managility
Q + A
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