loyalty matters
TRANSCRIPT
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Experian Public.
Loyalty matters
How better data drives more loyalty and more revenue
June 25, 2015
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Introducing our speakers
Shirley Zhao, Content Marketer, Experian Data Quality
Melanie Clark, Retail Partner Manager, Experian Data Quality
Today’s agenda:
► The stats around loyalty
● Prevalence of loyalty
● Loyalty data collection
● Strategic initiatives
► Three ways to improve loyalty insight
► Consumer insights available through data
► Q&A
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Methodology
29%
2%
47%
12%
4% 6%
Industry sectors
Manufacturing
Travel
Retail
Financial services
Utilities
Telecom
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Prevalence of loyalty
54%
67%
53% 51%
2% 1% 0%
10%
20%
30%
40%
50%
60%
70%
80%
Purpose of loyalty programs
Drive revenue Customer retention Increase lifetime value Promote brand Other Don’t know
A loyalty program is a system wherein retailers or service providers offer rewards to customers who repeatedly use their services or purchase
their products
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Return on investment
Today, 69 percent of companies are tracking the lifetime value of each customer. For those tracking the lifetime customer value, the average
value of a customer is $1,803
58% 17%
6%
11%
5% 4%
Return on investment from loyalty programs
Yes, it is calculated annually
Yes, but it is not supported by metrics
No, we do not see a return oninvestment
No, we do not calculate the return oninvestment
We do not have a loyalty program
Don’t know
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Loyalty program channels
78%
54%
46% 44%
2% 3%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Loyalty program channels
Website Point-of-sale Call center Mobile application Other Don’t know
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Loyalty data
73%
58%
81%
59%
22%
39%
4% 3%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Data provided during loyalty sign-up
Name Address Email Phone number Preference center Birthday Other Don’t know
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Key challenges and strategic initiatives
22% 25%
36%
18% 23% 21%
15%
2%
0%
10%
20%
30%
40%
Loyalty program challenges
Messages do not engage consumers Poor contact data quality
Not enough customers signing up Rewards are too complicated
The program is too expensive Not enough customer data
Technology is not relevant Other
Eighty-one percent of companies face challenges related to their loyalty program. The two biggest challenges related to loyalty programs are not
enough customers signing up and poor contact data.
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Improve loyalty and drive insight
Start with an accurate, consolidated and accessible database to ensure insight and analytics can be achieved
Clean your loyalty data
Consolidate records to review all
information
Improve overall loyalty
program
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Clean your loyalty data
Accuracy of customer data is of paramount importance to the effectiveness of a loyalty program
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Clean your loyalty data
Accuracy of customer data is of paramount importance to the effectiveness of a loyalty program
Loyalty
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Clean your loyalty data
Accuracy of customer data is of paramount importance to the effectiveness of a loyalty program
Loyalty
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Clean your loyalty data
Accuracy of customer data is of paramount importance to the effectiveness of a loyalty program
Loyalty
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Clean your loyalty data
The first step to improve a customer loyalty program is to increase the accuracy of customer data
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Clean your loyalty data
How do validation software tools improve customer data?
Correct some Misspellings
Identify invalid addresses
Append Zip Code + 4
Format addresses
Suggest corrections
Reduce bounce rates
Improve sender reputation
Increase deliverability
Improve email performance
Email Address
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Consolidate records to review all information
A loyalty program is most effective with customer knowledge. Duplicate
identification & matching supports a single customer view
Jonny
Smith
John
Smith
JOHN
SMITH
Jonathon
Smith
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Consolidate records to review all information
Four steps can be taken with current or new data that will
lead companies to a single customer view
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Consolidate records to review all information
A loyalty program is most effective with customer knowledge. Duplicate
identification & matching supports a single customer view
Jonny
Smith
John
Smith
JOHN
SMITH
Jonathon
Smith
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Consolidate records to review all information
A loyalty program is most effective with customer knowledge. Duplicate
identification & matching supports a single customer view
Jonny
Smith
John
Smith
JOHN
SMITH
Jonathon
Smith
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Consolidate records to review all information
By directly integrating a matching tool, end users can automatically use matching functionality without disrupting any existing workflows.
Database
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Ongoing involvement
Where Are You Heading?
Know Your Customer
Find More Like Them
Campaign Enhancement
Multi-Channel Optimization
Link disparate data silos
Identify best customers
Enrich data
Modeling, segmen-tation
Find more best customers
Develop Targeted Campaigns
Modeling, and advanced segmen-tation
Activity score for best channels, devices
Rigorous testing
Recognize channel preference
Campaign Measure-ment
Enabled across multiple platforms
Offers
A/B
Device
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Improve loyalty and drive insight
McKinsey estimates that retailers could improve operating margins by c. 60% by better leveraging their customer data
45%
27%
41% 43%
33%
44%
22%
3%
0%
10%
20%
30%
40%
50%
Turning data into insight
Wanting to understand customer needs Wanting to determine past marketing campaign performance
To secure future budgets Wanting to increase the value of each customer
Customization of future campaigns Wanting to find new customers
Driving more traffic from one channel to another Other
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Key questions to ask about your culture:
1. Is my organization open to new ideas that challenge current practice?
2. Does my organization view data as a core asset?
3. Is senior management driving the organization to become more data driven and analytical?
4. Is my organization using analytical insights to guide strategy?
5. Are we willing to let analytics help change the way we do business?
Using data to create insight
Culture is the driving
factor for driving
competitive advantage
from data & analytics
Companies with a top-down mandate for
fact-driven decision making are
experiencing gains with analytics to a far
greater extent than other organizations
Taken from The Analytics Mandate MIT/SAS research study May 2014
Key takeaways
Loyalty programs are used by 91 percent of companies
Clean and consolidate your data
Real-time vs. back-end solutions
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Experian Data Quality Products & services
Service Options
Real-time validation
Bulk processing
Duplicate identification
Data append
Data Validation
Postal addresses
Email addresses
Telephone numbers
Data enhancement
Demographic
Deployment options
On premise
On demand (hosted web services)
Bureau services
Seamless integrations with enterprise application providers:
30 30
Questions? Stay connected with us for up-to-date insights:
@ExperianDQ
www.edq.com/blog/