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 Copyright by Debra Zahay 2015
Data in the Driver’s Seat
Dr. Debra Zahay @zahay
Full Professor of Marketing at Aurora University
and President, Zahay, Inc.
McGuffin Mornings, May 19, 2015
Chicago Illinois
 Copyright by Debra Zahay 2015
Agenda
• Who am I?
• Marketing data and strategy
• Data quality and the organization
• Data Analytics
• Conversion
• Automation
• Social/Mobile Trends
 Copyright by Debra Zahay 2015
Driving is Multi-Dimensional
•Road•Maintenance
•Vehicle/Engine•Driver
Management
Quality
Database
Strategic
Direction
Fine Tuning/
Analytics
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
I followed my questions to
Academia…
Information
Systems
Sales/Marketing
/Databases
IMC &
More Databases
????
Ph.D.
 Copyright by Debra Zahay 2015
Over 800 Article Citations
Co-Author: Leading Intern Textbook
 Copyright by Debra Zahay 2015
Editor: Journal of Research in
Interactive Marketing
 Copyright by Debra Zahay 2015
Co-Author: Leading Internet
Marketing Textbook
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Forthcoming:
Zahay, Roberts
 Copyright by Debra Zahay 2015
Also Forthcoming
…..Contemporary Database
Marketing and Analytics
Spiller, Ruf and Zahay, Eds.
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Data is big news
• Big data
• Broad data (360 degree view of customer)
• Data Scientists are ‘sexy’
 Copyright by Debra Zahay 2015
But YET……
• CMO’s report not getting insights from data
• Executives don’t think their team is ready to
analyze data
• Everyone says are drowning in data
 Copyright by Debra Zahay 2015
How to get results is not
necessarily purely data
oriented.
• Customer Data Management Practices and
Measurement
• Data Management/Performance
Relationship
• Customer Data Quality
• Organizing for data quality
• Personalization and customization
• Transactional vs. relational data, differences,
contribution to performance
 Copyright by Debra Zahay 2015
Research Scope 1998-2013
• Over 400 companies
• Over ten years of research
• B2B and B2C
• Qualitative and Quantitative
• 20 academic papers
• Over 800 citations (Debra Zahay on Google
Scholar)
 Copyright by Debra Zahay 2015
Driving is Multi-Dimensional
•Road•Maintenance
•Vehicle/Engine•Driver
Management
Quality
Database
Strategic
Direction
Fine Tuning/
Analytics
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Starting Question: What is the
relationship between Customer
Information Management and
Firm Performance?
 Copyright by Debra Zahay 2015
Customer Information
Management Breeds Success
 Copyright by Debra Zahay 2015
Companiesmustconsiderhavingthreecapabilitiestomanage
customerinformationwell:
1. A corporate strategy consistent
with data collected
2. A clear mission and vision for data
collection and use
3. Shared data and organizational
cooperation
 Copyright by Debra Zahay 2015
Learning Organization: Information
and its management are intangible
assets that can create a competitive
advantage which can lead to
improved company performance.
 Copyright by Debra Zahay 2015
CopyrightbyDebraL.Zahay2000
Low
Results: Firm Strategy and CIS
Differentiation
Low-Cost
Low-Cost
N=40
High
Low
High
Strategically
Excellent
N=67
“Stuck in
the Middle”
N=47
Differentiators
N=55
From Porter (1985), Treacy and Wiersema(1993)
 Copyright by Debra Zahay 2015
CopyrightbyDebraL.Zahay2000
CIS related to Customer Performance
less strongly than Strategic Excellence
.38*
.19*
.14
*
.25*
* Significant at p <.05, 2 tailed
** Significant at p < .01, 2-tailed
.30*
.20*
.17**
.17**
.17**
RMR = .011
RMSEA = .000
GFI = .996
Chi. Sq. (df) = 2.416 (6)
p = .878
Strategic
Excellence
Personali-
zation
Customi-
zation
CIS Customer
Performance
Business
Growth
N=206
Customer Performance = Share of Wallet, LTCV, Retention, ROI versus competitors
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
1. Customer Retention
2. Customer Satisfaction
3. Cross-selling
What is Customer Performance?
 Copyright by Debra Zahay 2015
Driving is Multi-Dimensional
•Road•Maintenance
•Vehicle/Engine•Driver
Management
Quality
Database
Strategic
Direction
Fine Tuning/
Analytics
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Companiesmustconsiderhavingthreecapabilitiestomanage
customerinformationwell:
1. A corporate strategy consistent
with data collected
2. A clear mission and vision for
data collection and use
3. Shared data and organizational
cooperation
 Copyright by Debra Zahay 2015
Successful CRM Hinges On Data
Quality
Innovative Systems, Inc.
Author: Jeffrey Canter, VP of Operations
 Copyright by Debra Zahay 2015
Successful CRM Hinges On Data
Quality
Innovative Systems, Inc.
Author: Jeffrey Canter, VP of Operations
May 2002 Issue of CRM Magazine
 Copyright by Debra Zahay 2015
Why Do CRM Projects Fail?
• Silent killer: lack of accurate customer
information (Gartner Group report)
• Ensuring accurate customer information is
a difficult task
• High CRM spends will not protect companies
from losing sales opportunities and valued
customers and many CRM Projects will fail
 Copyright by Debra Zahay 2015
The Solution…
• CRM applications need to present a unified, real-time, view
of the customer and to achieve this goal customers need a
comprehensive CDQ
Customer Data Quality
Management Program
 Copyright by Debra Zahay 2015
So if everyone knows data quality
is important, why isn’t it being
done?
 Copyright by Debra Zahay 2015
Driving is Multi-Dimensional
•Road•Maintenance
•Vehicle/Engine•Driver
Management
Quality
Database
Strategic
Direction
Fine Tuning/
Analytics
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
8 Gartner CRM Building Blocks
• CRM Vision: Leadership, Market Position, Value Proposition
• CRM Strategy: Objectives, Segments, Effective Interaction
• Valued Customer Experience
• Organizational Collaboration
• Culture and Structure
• Customer Understanding
• People: Skills, Competencies
• Incentives and Compensation
• Employee Communications
• Partners and Suppliers
• Processes: Customer Lifecycle, Knowledge Management
• Information: Data, Analysis, One View Across Channels
• Technology: Applications, Architecture, Infrastructure
• Metrics: Value, Retention, Satisfaction, Loyalty, Cost to Serve
 Copyright by Debra Zahay 2015
FactorsInfluencingSuccessof Digital
OutcomesareManagerial
• Senior management buy-in (32%)
• Internal leadership (30%)
• Alignment between organizational structure and
initiative’s goals (21%)
• Good management of and sufficient organizational
support for the initiative (also 21%)
• Source: McKinsey and Company via Marketing Charts 850 C-Level executives
asked about digital engagement of customers, big data, digital engagement of
employees, automation, and digital innovation of products
 Copyright by Debra Zahay 2015
FactorsContributingtoFailuresofDigital
OutcomesareAlsoManagerial
• Lack of senior management buy-in 23%
• Lack of technology infrastructure and IT
systems (22%)
• Quality data (21%),
• Absence of internal leadership (17%).
• Source: McKinsey and Company via Marketing Charts 850 C-Level executives asked about
digital engagement of customers, big data, digital engagement of employees, automation, and
digital innovation of products
 Copyright by Debra Zahay 2015
Is Data Quality Bigger than Big Data?
• 53% of companies in the recent TDWI (The Data
Warehousing Institute) study reported they have suffered
losses, problems, or costs due to poor data quality (Quaero,
December 2012)
• Moveo Integrated Branding, February 2013
• Customers report 23% undeliverable emails
• 11% Duplicate records
• 54% phone numbers “unconnectable”
• Poor quality data is the biggest barrier to effective email
marketing: Econsultancy Report, April 2013
 Copyright by Debra Zahay 2015
TheKeyRoleoftheTopExecutive
Organizational
Culture
Data
Quality
Cross-
Functional
Cooperation
Customer
Performance
Business
PerformanceData
Sharing
Marketing/IT
Integration
 Copyright by Debra Zahay 2015
1. Do you have an agreed vision for managing Customer
information?
2. Is there a common purpose?
2. Is the vision shared?
3 Do you use cross-functional teams?
Do you reward teams for good performance?
How should you organize for Customer
Information Management?
 Copyright by Debra Zahay 2015
1. Overall data quality?
2. Data quality of transactions,
touchpoints, interactions?
3. Overall quality of
contact/loyalty/satisfaction data?
How do you rate in Customer Data Quality?
 Copyright by Debra Zahay 2015
Companiesmustconsiderhavingthreecapabilitiestomanage
customerinformationwell:
1. A corporate strategy consistent
with data collected
2. A clear mission and vision for data
collection and use
3. Shared data and organizational
cooperation
 Copyright by Debra Zahay 2015
1. Can you store it in one place?
2. Can you query it?
3. Can your employees get at it?
Three Questions Assess Customer Data
Sharing
 Copyright by Debra Zahay 2015
Driving is Multi-Dimensional
•Road•Maintenance
•Vehicle/Engine•Driver
Management
Quality
Database
Strategic
Direction
Fine Tuning/
Analytics
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Data Analytics
• Can mean many things
• Had their roots in Database Marketing
• Are NOT that intimidating
 Copyright by Debra Zahay 2015
Titles have changed, basics are the
same
Buzzwords: Database Marketing, Direct Marketing
Payton, F. & Zahay, D. L.
(2003). Understanding Why
Marketing Doesn't Use the
Corporate Data Warehouse
for CRM Applications.
Journal of Database
Marketing, 10 (4), 315-326.
Zahay, D. L. & Griffin, A.
(2003). Information
Antecedents and
Consequences of
Personalization and
Customization in Business-
to-Business Service Markets.
Journal of Database
Marketing, 10 (3), 255-271-
326.
 Copyright by Debra Zahay 2015
We want to find best customers,
treat segments differently
Buzzwords: Customer Relationship Management/Marketing
Zahay, D., Peltier, J., &
Krishen, A. (2012). Building
the Foundation for
Customer Data Quality in
CRM Systems for Financial
Services Firms, Journal of
Database Marketing and
Customer Strategy
Management formerly
Journal of Database
Marketing, Vol. 19 (1), pp. 5-
16.
 Copyright by Debra Zahay 2015
Data Analytics is “Now”
Buzzwords: Marketing Data Analytics, Big Data
Peltier, J., Zahay, D.
& Krishen, A.
(2013). A
Hierarchical IMC
Data Integration
and Measurement
Framework. The
Journal of
Marketing
Analytics, formerly
Journal of Database
Marketing and
Customer Strategy
Management, Vol. 1,
1, 32-48.
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Conversion
• Action
• Measurable
• Gain Insight (A/B), Which Test Won
 Copyright by Debra Zahay 2015
“If the average direct marketer
spend as much time testing and
refining and fine tuning his or her
offer as editing and polishing a
piece of direct response copy, the
bottom line would look a lot
different.”
#convcon@bmassey@zahay
Jim Kobs
 Copyright by Debra Zahay 2015
Changing offer to “Same DayShipping”ImprovedCTR
Dramatically (GuaranteeOffer)
Reciprocity
Unsuccessful ad (impressions only)
Improved ad (4.76% CTR)
Thanks to Allworld Machinery and the Northern Stars Team,
Marketing Technology, NIU, Spring 2013
 Copyright by Debra Zahay 2015
• Planned:
• Sakagami – Unbranded
• Sakagami Seals
www.allworldmachinery.com/
seals
All of Your Machinery Supply
Needs.
Quick & Easy Delivery, Call
Today!
(815) 943-0120
• Used:
• Sakagami – Unbranded (Most
Effective
– Industrial Machine Parts
Wide Selection of Seals & Packings.
Same Day Shipping. (815) 943-0120
allworld.com/SakagmiSeals
Again, clear offer “Same Day Shipping”
Outperforms Weak Offer
Thanks to Allworld Machinery and the TBA Team,
Marketing Technology, NIU, Spring 2013
 Copyright by Debra Zahay 2015
“The word “Free” has a lot of
magic to it.”
#convcon@bmassey@zahay
Jim Kobs
 Copyright by Debra Zahay 2015
Just adding the word “free” to this ad
resulted in a 7% CTR on Adwords
(Reciprocity)
Why it was successful
Manage Your Website
All Your Site Services, One System
Call For A Free Consultation Today
www.IdeosityCMS.com
Thanks to Ideosity and the Interactive Masterminds
Team, Marketing Technology, NIU, Spring 2013
 Copyright by Debra Zahay 2015
Poor Results with a Weak Call to
Action
What went wrong?• High Impressions/low CTR
• Weak Call-To-Action
• Poor Results
B2B Website MGMT Software
Create Customize and Manage Content
See Our Site Solutions Here
www.IdeosityCMS.com
Thanks to Ideosity and the Interactive Masterminds
Team, Marketing Technology, NIU, Spring 2013
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Marketing is Automated
• Nearly 50% of ad spend was ‘programmatic’ in 2013, expected
to rise to over 80% by 2017.
• Technologies will increasingly make promotional decisions
based on customer response.
• “Analytics” will drive these systems.
• C-Level execs will rely more heavily
on dashboards.
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
 Copyright by Debra Zahay 2015
Social Media/Mobile Trends
• Engagement
• Engagement
• Engagement
 Copyright by Debra Zahay 2015
Starting Question: What is the
relationship between Customer
Information Management and
Firm Performance?
Research suggests that Customer
Information Management is a
multi-faceted organizational
operation and that strategy,
shareability and quality data each
play a key role, but that results
must be driven by the executive
suite.
 Copyright by Debra Zahay 2015
Drive Safely
•Road•Maintenance
•Vehicle/Engine•Driver
Management
Quality
Database
Strategic
Direction
Fine Tuning/
Analytics
 Copyright by Debra Zahay 2015
Contact information
• Dr. Debra Zahay-Blatz
• http://www.zahay.com
• Best email: debra@zahay.com
• Cell 630-300-8838
• Forthcoming: Chair, Department of Entrepreneurship and
Digital Marketing and Media Management at St. Edward’s
University, Austin, TX

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Data Analytics and Customer Insights

  • 1.  Copyright by Debra Zahay 2015 Data in the Driver’s Seat Dr. Debra Zahay @zahay Full Professor of Marketing at Aurora University and President, Zahay, Inc. McGuffin Mornings, May 19, 2015 Chicago Illinois
  • 2.  Copyright by Debra Zahay 2015 Agenda • Who am I? • Marketing data and strategy • Data quality and the organization • Data Analytics • Conversion • Automation • Social/Mobile Trends
  • 3.  Copyright by Debra Zahay 2015 Driving is Multi-Dimensional •Road•Maintenance •Vehicle/Engine•Driver Management Quality Database Strategic Direction Fine Tuning/ Analytics
  • 4.  Copyright by Debra Zahay 2015
  • 5.  Copyright by Debra Zahay 2015 I followed my questions to Academia… Information Systems Sales/Marketing /Databases IMC & More Databases ???? Ph.D.
  • 6.  Copyright by Debra Zahay 2015 Over 800 Article Citations Co-Author: Leading Intern Textbook
  • 7.  Copyright by Debra Zahay 2015 Editor: Journal of Research in Interactive Marketing
  • 8.  Copyright by Debra Zahay 2015 Co-Author: Leading Internet Marketing Textbook
  • 9.  Copyright by Debra Zahay 2015
  • 10.  Copyright by Debra Zahay 2015 Forthcoming: Zahay, Roberts
  • 11.  Copyright by Debra Zahay 2015 Also Forthcoming …..Contemporary Database Marketing and Analytics Spiller, Ruf and Zahay, Eds.
  • 12.  Copyright by Debra Zahay 2015
  • 13.  Copyright by Debra Zahay 2015
  • 14.  Copyright by Debra Zahay 2015 Data is big news • Big data • Broad data (360 degree view of customer) • Data Scientists are ‘sexy’
  • 15.  Copyright by Debra Zahay 2015 But YET…… • CMO’s report not getting insights from data • Executives don’t think their team is ready to analyze data • Everyone says are drowning in data
  • 16.  Copyright by Debra Zahay 2015 How to get results is not necessarily purely data oriented. • Customer Data Management Practices and Measurement • Data Management/Performance Relationship • Customer Data Quality • Organizing for data quality • Personalization and customization • Transactional vs. relational data, differences, contribution to performance
  • 17.  Copyright by Debra Zahay 2015 Research Scope 1998-2013 • Over 400 companies • Over ten years of research • B2B and B2C • Qualitative and Quantitative • 20 academic papers • Over 800 citations (Debra Zahay on Google Scholar)
  • 18.  Copyright by Debra Zahay 2015 Driving is Multi-Dimensional •Road•Maintenance •Vehicle/Engine•Driver Management Quality Database Strategic Direction Fine Tuning/ Analytics
  • 19.  Copyright by Debra Zahay 2015
  • 20.  Copyright by Debra Zahay 2015 Starting Question: What is the relationship between Customer Information Management and Firm Performance?
  • 21.  Copyright by Debra Zahay 2015 Customer Information Management Breeds Success
  • 22.  Copyright by Debra Zahay 2015 Companiesmustconsiderhavingthreecapabilitiestomanage customerinformationwell: 1. A corporate strategy consistent with data collected 2. A clear mission and vision for data collection and use 3. Shared data and organizational cooperation
  • 23.  Copyright by Debra Zahay 2015 Learning Organization: Information and its management are intangible assets that can create a competitive advantage which can lead to improved company performance.
  • 24.  Copyright by Debra Zahay 2015 CopyrightbyDebraL.Zahay2000 Low Results: Firm Strategy and CIS Differentiation Low-Cost Low-Cost N=40 High Low High Strategically Excellent N=67 “Stuck in the Middle” N=47 Differentiators N=55 From Porter (1985), Treacy and Wiersema(1993)
  • 25.  Copyright by Debra Zahay 2015 CopyrightbyDebraL.Zahay2000 CIS related to Customer Performance less strongly than Strategic Excellence .38* .19* .14 * .25* * Significant at p <.05, 2 tailed ** Significant at p < .01, 2-tailed .30* .20* .17** .17** .17** RMR = .011 RMSEA = .000 GFI = .996 Chi. Sq. (df) = 2.416 (6) p = .878 Strategic Excellence Personali- zation Customi- zation CIS Customer Performance Business Growth N=206 Customer Performance = Share of Wallet, LTCV, Retention, ROI versus competitors
  • 26.  Copyright by Debra Zahay 2015
  • 27.  Copyright by Debra Zahay 2015 1. Customer Retention 2. Customer Satisfaction 3. Cross-selling What is Customer Performance?
  • 28.  Copyright by Debra Zahay 2015 Driving is Multi-Dimensional •Road•Maintenance •Vehicle/Engine•Driver Management Quality Database Strategic Direction Fine Tuning/ Analytics
  • 29.  Copyright by Debra Zahay 2015
  • 30.  Copyright by Debra Zahay 2015 Companiesmustconsiderhavingthreecapabilitiestomanage customerinformationwell: 1. A corporate strategy consistent with data collected 2. A clear mission and vision for data collection and use 3. Shared data and organizational cooperation
  • 31.  Copyright by Debra Zahay 2015 Successful CRM Hinges On Data Quality Innovative Systems, Inc. Author: Jeffrey Canter, VP of Operations
  • 32.  Copyright by Debra Zahay 2015 Successful CRM Hinges On Data Quality Innovative Systems, Inc. Author: Jeffrey Canter, VP of Operations May 2002 Issue of CRM Magazine
  • 33.  Copyright by Debra Zahay 2015 Why Do CRM Projects Fail? • Silent killer: lack of accurate customer information (Gartner Group report) • Ensuring accurate customer information is a difficult task • High CRM spends will not protect companies from losing sales opportunities and valued customers and many CRM Projects will fail
  • 34.  Copyright by Debra Zahay 2015 The Solution… • CRM applications need to present a unified, real-time, view of the customer and to achieve this goal customers need a comprehensive CDQ Customer Data Quality Management Program
  • 35.  Copyright by Debra Zahay 2015 So if everyone knows data quality is important, why isn’t it being done?
  • 36.  Copyright by Debra Zahay 2015 Driving is Multi-Dimensional •Road•Maintenance •Vehicle/Engine•Driver Management Quality Database Strategic Direction Fine Tuning/ Analytics
  • 37.  Copyright by Debra Zahay 2015
  • 38.  Copyright by Debra Zahay 2015 8 Gartner CRM Building Blocks • CRM Vision: Leadership, Market Position, Value Proposition • CRM Strategy: Objectives, Segments, Effective Interaction • Valued Customer Experience • Organizational Collaboration • Culture and Structure • Customer Understanding • People: Skills, Competencies • Incentives and Compensation • Employee Communications • Partners and Suppliers • Processes: Customer Lifecycle, Knowledge Management • Information: Data, Analysis, One View Across Channels • Technology: Applications, Architecture, Infrastructure • Metrics: Value, Retention, Satisfaction, Loyalty, Cost to Serve
  • 39.  Copyright by Debra Zahay 2015 FactorsInfluencingSuccessof Digital OutcomesareManagerial • Senior management buy-in (32%) • Internal leadership (30%) • Alignment between organizational structure and initiative’s goals (21%) • Good management of and sufficient organizational support for the initiative (also 21%) • Source: McKinsey and Company via Marketing Charts 850 C-Level executives asked about digital engagement of customers, big data, digital engagement of employees, automation, and digital innovation of products
  • 40.  Copyright by Debra Zahay 2015 FactorsContributingtoFailuresofDigital OutcomesareAlsoManagerial • Lack of senior management buy-in 23% • Lack of technology infrastructure and IT systems (22%) • Quality data (21%), • Absence of internal leadership (17%). • Source: McKinsey and Company via Marketing Charts 850 C-Level executives asked about digital engagement of customers, big data, digital engagement of employees, automation, and digital innovation of products
  • 41.  Copyright by Debra Zahay 2015 Is Data Quality Bigger than Big Data? • 53% of companies in the recent TDWI (The Data Warehousing Institute) study reported they have suffered losses, problems, or costs due to poor data quality (Quaero, December 2012) • Moveo Integrated Branding, February 2013 • Customers report 23% undeliverable emails • 11% Duplicate records • 54% phone numbers “unconnectable” • Poor quality data is the biggest barrier to effective email marketing: Econsultancy Report, April 2013
  • 42.  Copyright by Debra Zahay 2015 TheKeyRoleoftheTopExecutive Organizational Culture Data Quality Cross- Functional Cooperation Customer Performance Business PerformanceData Sharing Marketing/IT Integration
  • 43.  Copyright by Debra Zahay 2015 1. Do you have an agreed vision for managing Customer information? 2. Is there a common purpose? 2. Is the vision shared? 3 Do you use cross-functional teams? Do you reward teams for good performance? How should you organize for Customer Information Management?
  • 44.  Copyright by Debra Zahay 2015 1. Overall data quality? 2. Data quality of transactions, touchpoints, interactions? 3. Overall quality of contact/loyalty/satisfaction data? How do you rate in Customer Data Quality?
  • 45.  Copyright by Debra Zahay 2015 Companiesmustconsiderhavingthreecapabilitiestomanage customerinformationwell: 1. A corporate strategy consistent with data collected 2. A clear mission and vision for data collection and use 3. Shared data and organizational cooperation
  • 46.  Copyright by Debra Zahay 2015 1. Can you store it in one place? 2. Can you query it? 3. Can your employees get at it? Three Questions Assess Customer Data Sharing
  • 47.  Copyright by Debra Zahay 2015 Driving is Multi-Dimensional •Road•Maintenance •Vehicle/Engine•Driver Management Quality Database Strategic Direction Fine Tuning/ Analytics
  • 48.  Copyright by Debra Zahay 2015
  • 49.  Copyright by Debra Zahay 2015 Data Analytics • Can mean many things • Had their roots in Database Marketing • Are NOT that intimidating
  • 50.  Copyright by Debra Zahay 2015 Titles have changed, basics are the same Buzzwords: Database Marketing, Direct Marketing Payton, F. & Zahay, D. L. (2003). Understanding Why Marketing Doesn't Use the Corporate Data Warehouse for CRM Applications. Journal of Database Marketing, 10 (4), 315-326. Zahay, D. L. & Griffin, A. (2003). Information Antecedents and Consequences of Personalization and Customization in Business- to-Business Service Markets. Journal of Database Marketing, 10 (3), 255-271- 326.
  • 51.  Copyright by Debra Zahay 2015 We want to find best customers, treat segments differently Buzzwords: Customer Relationship Management/Marketing Zahay, D., Peltier, J., & Krishen, A. (2012). Building the Foundation for Customer Data Quality in CRM Systems for Financial Services Firms, Journal of Database Marketing and Customer Strategy Management formerly Journal of Database Marketing, Vol. 19 (1), pp. 5- 16.
  • 52.  Copyright by Debra Zahay 2015 Data Analytics is “Now” Buzzwords: Marketing Data Analytics, Big Data Peltier, J., Zahay, D. & Krishen, A. (2013). A Hierarchical IMC Data Integration and Measurement Framework. The Journal of Marketing Analytics, formerly Journal of Database Marketing and Customer Strategy Management, Vol. 1, 1, 32-48.
  • 53.  Copyright by Debra Zahay 2015
  • 54.  Copyright by Debra Zahay 2015 Conversion • Action • Measurable • Gain Insight (A/B), Which Test Won
  • 55.  Copyright by Debra Zahay 2015 “If the average direct marketer spend as much time testing and refining and fine tuning his or her offer as editing and polishing a piece of direct response copy, the bottom line would look a lot different.” #convcon@bmassey@zahay Jim Kobs
  • 56.  Copyright by Debra Zahay 2015 Changing offer to “Same DayShipping”ImprovedCTR Dramatically (GuaranteeOffer) Reciprocity Unsuccessful ad (impressions only) Improved ad (4.76% CTR) Thanks to Allworld Machinery and the Northern Stars Team, Marketing Technology, NIU, Spring 2013
  • 57.  Copyright by Debra Zahay 2015 • Planned: • Sakagami – Unbranded • Sakagami Seals www.allworldmachinery.com/ seals All of Your Machinery Supply Needs. Quick & Easy Delivery, Call Today! (815) 943-0120 • Used: • Sakagami – Unbranded (Most Effective – Industrial Machine Parts Wide Selection of Seals & Packings. Same Day Shipping. (815) 943-0120 allworld.com/SakagmiSeals Again, clear offer “Same Day Shipping” Outperforms Weak Offer Thanks to Allworld Machinery and the TBA Team, Marketing Technology, NIU, Spring 2013
  • 58.  Copyright by Debra Zahay 2015 “The word “Free” has a lot of magic to it.” #convcon@bmassey@zahay Jim Kobs
  • 59.  Copyright by Debra Zahay 2015 Just adding the word “free” to this ad resulted in a 7% CTR on Adwords (Reciprocity) Why it was successful Manage Your Website All Your Site Services, One System Call For A Free Consultation Today www.IdeosityCMS.com Thanks to Ideosity and the Interactive Masterminds Team, Marketing Technology, NIU, Spring 2013
  • 60.  Copyright by Debra Zahay 2015 Poor Results with a Weak Call to Action What went wrong?• High Impressions/low CTR • Weak Call-To-Action • Poor Results B2B Website MGMT Software Create Customize and Manage Content See Our Site Solutions Here www.IdeosityCMS.com Thanks to Ideosity and the Interactive Masterminds Team, Marketing Technology, NIU, Spring 2013
  • 61.  Copyright by Debra Zahay 2015
  • 62.  Copyright by Debra Zahay 2015 Marketing is Automated • Nearly 50% of ad spend was ‘programmatic’ in 2013, expected to rise to over 80% by 2017. • Technologies will increasingly make promotional decisions based on customer response. • “Analytics” will drive these systems. • C-Level execs will rely more heavily on dashboards.
  • 63.  Copyright by Debra Zahay 2015
  • 64.  Copyright by Debra Zahay 2015
  • 65.  Copyright by Debra Zahay 2015 Social Media/Mobile Trends • Engagement • Engagement • Engagement
  • 66.  Copyright by Debra Zahay 2015 Starting Question: What is the relationship between Customer Information Management and Firm Performance? Research suggests that Customer Information Management is a multi-faceted organizational operation and that strategy, shareability and quality data each play a key role, but that results must be driven by the executive suite.
  • 67.  Copyright by Debra Zahay 2015 Drive Safely •Road•Maintenance •Vehicle/Engine•Driver Management Quality Database Strategic Direction Fine Tuning/ Analytics
  • 68.  Copyright by Debra Zahay 2015 Contact information • Dr. Debra Zahay-Blatz • http://www.zahay.com • Best email: debra@zahay.com • Cell 630-300-8838 • Forthcoming: Chair, Department of Entrepreneurship and Digital Marketing and Media Management at St. Edward’s University, Austin, TX