marketing analytics effectiveness
DESCRIPTION
In today’s Smarter Consumer and their use of technology (internet, mobile, and social) all industries are struggling to better serve and be more relevant to their customers and potential customers. When done well, businesses can 1) Improve loyalty and grow ‘share of wallet’, 2), True differentiation and competitive advantage as consumer’s ‘trusted advisor', 3) Margin improvement through optimized marketing spend, inventory, labor, etc., 4) Real intelligence vs. ‘paid for search positioning’ like GoogleTRANSCRIPT
© 2012 IBM Corporation1
Making Marketing Personal with Customer Analytics
Outcome Focused Analytics
© 2012 IBM Corporation2
Today’s digital revolution and empowered consumer are producing many tough marketing challenges that are leaving CMOs struggling to respond
Marketing Challenges1
9
13
12
2
4
3
1
7
50
60
70
40
20 40 600
8
6
Financial constraints
Decreasing brand loyalty
Growth market opportunities
ROI accountability
Customer collaboration and influence
Privacy considerations
Global outsourcing
Regulatory considerations
Corporate transparency
5
6
7
8
9
10
11
12
13
Data explosion1
Social media2
Growth of channel and device choices3
Shifting consumer demographics4
Mean
Marketing Priority Matrix
Factors impacting marketing
Under-preparedness
5
1011
Source: 2011 Global Chief Marketing Officer Study industry
© 2012 IBM Corporation3
Where is this data explosion coming from?
Source: McKinsey & Company, May 2011
Every second of HD video generates > 2,000 times as
many bytes as required to store a single page of text.
Every day, the New York Stock Exchange captures 1 TB of trade information.
More than 30M networked sensor, growing at a rate
>30% per year.
12 TB of tweets being created each day.
5 Billion mobile phones in use in 2010. Only 12% were
smartphones.
What is your business doing with it?
Marketing Challenges1
© 2012 IBM Corporation4
Customer-centric analytics is the primary functional objective across macro industry groups, as well
50%
11%
21%
16%
2%
42%
26%
13%
13%6%
59%20%
10%
7%5%
51%
19%
16%
10%4%
62%8%
11%
18%1%
32%
30%
27%
6%6%
Consumer Goods Financial Services Healthcare/Life Sciences
Manufacturing Public Sector Telecommunications
Customer-centric outcomes
Operational optimization
Risk / financial management
New business model
Employee collaboration
Findings from the 2012 research collaboration of IBM Institute for Business Value and Saïd Business School, University of Oxford
Analytics Insights2
© 2012 IBM Corporation5
Consumer purchasing patterns are changing slower than implied by the media hype
Analytics Insights2
© 2012 IBM Corporation6
The patterns and trends you notice in your market sector can dictate the approach you take towards higher ROMI
Habit Formation Point – Purchasing Pattern
By CHARLES DUHIGG - Published: February 16, 2012
Analytics Insights2
© 2012 IBM Corporation7
You can know who the customers are, how to reach them and how to gain their TRUST
BehaviorsInterests
Preferences
Demographics
Spend Advocacy
Retailer Experience
Product Experience
Communication
Intentions
Timeliness
Conditions
Value PointsLinguistic Style
Location
Analytics Insights2
© 2012 IBM Corporation8
The ability to create competitive advantage using analytics surged dramatically in 12 months, impacting the bottom-line
Smarter Marketing3
Source: 2011 study MIT / IBM IBV - surveyed 4,500 executives, managers and analysts from more than 120 countries and representing more than 30 industries
© 2012 IBM Corporation9
Early adopters have outpaced others in gaining competitive advantage by expanding the use of analytics
Smarter Marketing3
© 2012 IBM Corporation10
We also examined what happens between Aspirational and Transformed – the space between the two end-point benchmarks
Source: The New Intelligent Enterprise, a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Information management
proficiency
Analytic skills and tools proficiency
Data-oriented culture
Aspirational
High
Low
Enterprise driven
Line-of-businessdriven
HighLow
Experienced
Paths to Transformation
Transformed
Smarter Marketing3
© 2012 IBM Corporation11
Experienced organizations one of two paths, each focusing on different competencies, to move towards Transformed
Source: The New Intelligent Enterprise, a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Information management
proficiency
Analytic skills and tools proficiency
Data-oriented culture
Aspirational
High
Low
Enterprise driven
Line-of-businessdriven
HighLow
Experienced
Paths to Transformation
TransformedCollaborative
path
Specialized path
Smarter Marketing3
© 2012 IBM Corporation12
The marketing alignment process identifies the key variables necessary to deliver short to long term ROMI
Define Outcomes
• Improve Store Sales
• Increase Online Sales Conversion
BusinessMetric
Measure Action
• Purchases
• Loyalty Sing-up
BehaviorMetric
Analyze Sentiment
• Customer recommends
• Consumer leaves positive comments
Attitude Metric
Measure Activity
• Open Rates
• Click Through Rates
VolumeMetric
Business Variables
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Smarter Marketing3
© 2012 IBM Corporation13
Moneyball: The Art of Winning an Unfair Game
Outcome Focused Analytics – “By re-evaluating the strategies that produce wins on the field…”
A Moneyball lesson for business - focus on the profitable customers and prospects
Purpose of Analytics – “"the ruthless drive for efficiency that capitalism demands."
Smarter Marketing3
© 2012 IBM Corporation14
Consortium based models are emerging to provide additional insights about customers and improve marketing techniques
ConsortiumLeaders
Partners
Approach
Shoppers
Revenue
Smarter Marketing3
© 2012 IBM Corporation15
Using analytics successfully to drive business results requires a holistic approach across the interdependent aspects of business
Manage Understand Act
Smarter Marketing3
© 2012 IBM Corporation: IBM Telecommunications Industry 16
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