Pietrangeli
Document Sample


Customer Satisfaction and Customer Loyalty in an
after call situation: An international comparison
Sandra Pietrangeli
in cooperation with Frank Fenrich (T-Mobile International AG & Co.
KG)
23.05.2007
1
Customer Satisfaction vs. Customer Loyalty
Guideline
1. Definitions
2. State of research
3. Empirical evidence (ICCA)
3.1 Operationalization
3.2 Typical frequency distribution
3.3 NPS and Correlation (Recommendation*Overall
Satisfaction)
4. Results
2
Customer Satisfaction vs. Customer Loyalty
1. Definitions
Customer loyalty
is the behaviour customers exhibit when they make frequent repeat
purchases of a brand and recommend it to her friends and business
partners.
Customer Satisfaction
is the degree to which customer expectations of a product or service
are met or exceeded.
3
Customer Satisfaction vs. Customer Loyalty
2. State of research
• Customer Satisfaction and Customer Loyalty are disjoint
constructs
• Customer Satisfaction is linked to Customer Loyalty
• Customer Satisfaction correlates significant positive with
Customer Loyalty
• Expected correlation r = 0.5 to 0.61)
1) q.v. Hermann/Johnson 1999; 594; own research
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
• Database: T-Mobile International Customer Contact Analysis
(ICCA)
• Survey since 2003 in eight countries
• Samples: 16.000 interviews per month
• Three-step-process:
1. Data collection:
T-Mobile gets adresses from customers, who have called/written
to a T-Mobile Contact Centre (e.g. to ask for a new tariff). These
data are provided to an external agency.
2. After call interviews:
The agency staff call above mentioned customers and interview
them.
3. Reflux of information:
The agency replaces the interview data to T-Mobile.
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.1 Operationalization
Operationalization of Customer Satisfaction (Overall Satisfaction)
“Now, please think about the call to the T-Mobile Contact Centre
during the last two days…How satisfied are you with the service you
got overall?”1)
1)T-Mobile ICCA Master Questionnaire „Residental + Business“
2005/2006 and ICCA Questionnaire „Written + E-mail“ 2005/2006
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.1 Operationalization
extremly
satisfied dissatisfied
1 2 3 4 5
8 means ‘don‘t know’
9 means ‘no answer’
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.1 Operationalization
Operationalization of Customer Loyalty (Recommendation)
“On a scale of 1 to 4, what is the possibility that you would
recommend T-Mobile to a friend (residental) or a business partner
(business line) based on this experience?” 1)
1)T-Mobile ICCA Master Questionnaire „Residental + Business“ 2005
and ICCA Questionnaire „Written + E-mail“ 2005
8
Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.1 Operationalization
definitel definitely
yyes no
1 2 3 4
Promoters Passively satisfied Detractors
8 means ‘don‘t know’
9 means ‘no answer’
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.1 Operationalization
Operationalization of Customer Loyalty (Recommendation)
“On a scale of 0 to 10, how likely is it that you would recommend
the provider T-Mobile to a friend (residential) or a business partner
(business line)?”1) (The ultimate Question)
1)T-Mobile ICCA Master Questionnaire „Residental + Business“ 2006
and ICCA Questionnaire „Written + E-mail“ 2006
10
Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.1 Operationalization
Very not at all
likely likely
10 9 8 7 6 5 4 3 2 1
0
Promoters Passively satisfied Detractors
98 means ‘don‘t know’
99 means ‘no answer’
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.2 Typical frequency distribution
Overall Satisfaction1)
extremely very satisfied fairly dissatisfied don’t no
satisfied satisfied satisfied know answer
2005 14% 44% 34% 4% 4% 0% 0%
2006 16% 46% 31% 3% 4% 0% 0%
1) as an example Germany Residental
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.2 Typical frequency distribution
Recommendation1)
Promoter passively Detractor don’t know no answer
satisfied
2005 77% 17% 5% 1% 0%
2006 52% 30% 17% 1% 0%
1) as an example Germany Residental
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.3 NPS and Correlation (Recommendation*Overall Satisfaction)
T-Mobile Gemany
T-Mobile Austria
T-Mobile Czech Republic
T-Mobile Netherlands
T-Mobile United Kingdom
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Customer Satisfaction vs. Customer Loyalty
3. Empirical evidence (ICCA)
3.3 NPS and Correlation (Recommendation*Overall Satisfaction)
Business Residental E-mail Written
NPS r NPS r NPS r NPS r
2005 66,49% .347** 71,63% .317** n.a. 45,45% .475**
GER
2006 30,38% .058** 35,40% .068** n.a. 2,67% .168**
2005 62,22% .366** 78,08% .076** n.a. 59,55% .506**
AUT
2006 30,21% .177** 43,68% .076** n.a. 29,42% .208**
2005 73,59% .251** 79,05% .183** 50,91% .292** 53,03% .315**
CZE
2006 44,08% -.059** 51,19% -.009 n.a. 13,77% -.030
2005 47,85% .296** 53,14% .312** n.a. 36,55% .384**
NL
2006 -4,43% .054* 4,54% .028* 2,06% .080** -26,79% .066**
2005 34,28% .481** 45,48% .422** 41,27% .506** -14,67% .468**
UK
2006 -2,77% .089** 8,25% 0.69** -1,50% .099** -41,87 .181**
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Customer Satisfaction vs. Customer Loyalty
4. Results
• Changing the question is leading to changing in the NPS
• NPS of 2006 seems to be more realistic than the NPS of 2005
(closer to well-established survey
• Low correlation between Customer Satisfaction and Customer
Loyalty in 2005 (.3 to .4)
• Dramatically low correlation between Customer Satisfaction and
Customer Loyalty in 2006 (normally >.1)
• Research requirement: Validity of the constructs
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