the value of mining (big) data - data-driven marketing conference
DESCRIPTION
It was a pleasure to kick-off Marketing Magazine's Data-Driven Marketing Conference (August 2013). These are the slides from my presentation in which I talk about the the key challenges of "big data" and present both academic and brand-based case studies on how data, bigger data, and BIG data can: 1. Drive brand and consumer insights 2. Evaluate if marketing messages are working 3. Better target marketing communications efforts 4. Become a company asset to market 5. Allow for continued experimentationTRANSCRIPT
The Value of Mining (Big) Data… Without Scaring Your Customers
Matthew Quint Director, Center on Global Brand Leadership Columbia Business School gsb.columbia.edu/globalbrands @mattquint Data Driven Marketing Conference – August 20, 2013 [NOTE: Images for Prof. Netzer, Everyday Health, The Weather Company, and Target, have hyperlinks to video talks on the topic!]
…and not everything that counts can be counted - Prof. William Bruce Cameron
Not everything that can be counted counts…
Data Bigger Data BIG Data
Small No integration Unit collected
Large Some integration Firm collected
Massive Heavy integration Firm and external
All marketers want to be DATA-DRIVEN
Believe successful brands use data to drive marketing decisions
91%
But many are NOT COLLECTING the data they need
say their own company’s data are collected too infrequently
39%
Marketing ROI in the Era of Big Data: 2012 BRITE-NYAMA Marketing Measurement in Transition Study David Rogers and Prof. Don Sexton, Columbia Business School
TOO LITTLE
TOO INFREQUENT
NOT SHARED
NOT SPECIFIC
DON’T PERSONALIZE
“The evidence is clear:
Data-driven decisions tend to be better decisions.
In sector after sector, companies that embrace this fact will pull away from their rivals.” - Erik Brynjolfsson and Andrew McAfee, MIT (Harvard Business Review)
Five key
CHALLENGES of (Big) Data
Everywhere
Unstructured
Needs cleaning
Storage and processing
Privacy and security
Case studies on
THE VALUE of (Big) Data
1. Gain insights on brands or consumers 2. Understand what messaging works 3. Better target your communications 4. Your data becomes an asset to market 5. Continue experimenting
Brand and consumer INSIGHTS from (Big) Data
Brand insights Prof. Oded Netzer
Edmunds.com sedan forum <Brand>Honda</Brand>
<Model>Honda Accord</Model>
<Model>Toyota Camry</Model>
<Brand>Toyota </Brand>
<Term>Best</Term>
<Term>Sedans</Term>
<Term>Competent</Term>
<Term>Price</Term>
<Term>Love</Term>
<Term>Best selling</Term>
<Term>Best</Term>
Honda Accords and Toyota Camrys are nice sedans, but hardly the best car on the road (for many people). It's just that they are very compentant in their price range. So, a love fest of the best selling may not tell you what is "best".
Text mining
Network analysis
MODEL SENTRA COROLLA CIVIC
Commonalities
Differentiators
Economy | Small-car | Subcompact | Compact
Power Performance
College
Mileage Plastic parts
Mom/Daughter
VTEC Engine Hatchback
Mud guards
Edmunds.com brand sentiment
Consumer insights
MESSAGING EFFECTIVENESS from (Big) Data
American Luxury
Messaging effectiveness Prof. Oded Netzer
Based on JD Power PIN Data
Brand-switching map
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Lift
Import Luxury
American Brands
Linear (Import Luxury)
Linear (American Brands)
Brands mentioned alongside Cadillac
AMERICAN brands
LUXURY imports
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Import Luxury
American
Linear (Import Luxury)
Linear (American)
Brands traded-in for Cadillac
AMERICAN brands
LUXURY imports
Demonstrate ROI
TARGETING improvements from (Big) Data
Better ad targeting
Cross-Platform Campaign Ratings
MARKET YOUR OWN (Big) Data
Stores care about the weather
Get acquired because of data
Continue
EXPERIMENTING
A/B Testing for Obama Campaign
DON’T FREAK OUT your customers
Charles Duhigg, “How Companies Learn Your Secrets,” The New York Times (Feb 16, 2012)
Target’s predictive analytics
Tracking your whereabouts
“I keep saying that the sexy job in the next 10 years will be statisticians. And I’m not kidding.”
- Hal Varian, chief economist at Google.
The data scientist
1.Quantitative
2.Technical
3.Curious and creative
4.Skeptical
5.Communicative and collaborative
Questions?
Matthew Quint Director, Center on Global Brand Leadership Columbia Business School [email protected] Data Driven Marketing Conference – August 20, 2013