The Big Data Challenges of Computational Market Research

April 2014

Table of Content

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What is a Market Research Study?

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Market Research Goal: Answering Questions for Brands

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Output Example : ‘Positioning survey’ for Hilton Garden Inn.

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Output Example : ‘Positioning survey’ for Hilton Garden Inn.

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Example : Positioning survey for Beyonce

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Example : Positioning survey for Beyonce

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Market Research Main Challenge: Targeting





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The Targeting Pipeline and Incidence Rate Targeting process

Incidence Rate: IR = Completes / Starts

Fixed set of attributes known beforehand

Free style attributes, usually unknown.

Cost is a growing function of IR

Start

Demographics

Behavioral

Study

Complete Select the right population based on simple demographic attributes: Age, Gender, Region, Ethnicity, Income, etc.

Further select based on behavioral and custom attributes: fly more than 5 times a year, uses aspirin on a daily basis, etc.

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Why is targeting hard?

Smokers

● ● ●

Tried to stop London



Adults

Incidence rate: 0.18 * 0.4 *.15 * .3 = 0.3 % Sample size: 333,333

UK

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State of the Art: Use Known Demographic Features ● ○ Smokers

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Tried to stop

Incidence rate: 1 * 0.18 * 0.4 = 9 %

Adults in the London Area

Sample size: 11,000

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New Direction: Use Known Features and Predict Unknown Features Adults in the London Area who are predicted to be smokers

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Smokers

Tried to stop



Incidence rate: 1 * 0.85 * 0.4 = 34 % Sample size: 2,900

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How to Predict Features? The Space Model Sparse Matrix containing all the attributes (integer answers to questions) we have ever asked. Demographic attributes

Features Sex, Age, Region, etc. Users

Behavioral attributes

Shirt color

Smokes?

Red Blue

Yes No

User 1 User 2 User 3 User 4 10^^9 users

10^^7 features

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The Learning Task - The Model Try to predict answer to the “Smokes?” attribute based on other attributes. Smokes?

Dog owner?

Jogger?

Overweight?

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The Learning Task - Collaborative Filtering User correlation or Feature correlation

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First Experiments with Multiple Imputation

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First Experiments with Multiple Imputation Some Results

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Current Work

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Future Work



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Q&A

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