Debra Zahay gave a presentation on data and marketing strategy. She discussed how managing customer data requires having a corporate strategy aligned with collected data, a clear vision for data use, and organizational cooperation. Zahay emphasized that successful customer relationship management depends on high quality customer data and explained how companies can improve data quality. She also covered trends in marketing automation, analytics, and social/mobile and stressed that executive leadership is key to achieving results from customer data initiatives.
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
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
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
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
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
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
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.
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
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.
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