nps mrsnz conference paper 2007
TRANSCRIPT
© Research Solutions – October 2007 1
Net Promoter Score ~ Answer to our research prayers or curse of the industry?
NNPPSS
How many of you have heard of the Net Promoter Score?
© Research Solutions – October 2007 2
Net Promoter Score ~ Answer to our research prayers or curse of the industry?
IntroductionIntroduction
Case StudiesCase Studies
ConclusionsConclusions
AA
BB
CC
© Research Solutions – October 2007 3
Net Promoter Score ~ Answer to our research prayers or curse of the industry?
IntroductionIntroduction
Case StudiesCase Studies
ConclusionsConclusions
© Research Solutions – October 2007 4
Customer SatisfactionCustomer Satisfaction
Customer EngagementCustomer Engagement
© Research Solutions – October 2007 5
TRI*MTRI*M Gallup C11Gallup C11
© Research Solutions – October 2007 6
CustomerCustomerSymmetrySymmetry
Conversion Conversion ModelModel
CB WorldCB World
ImplicitImplicit
© Research Solutions – October 2007 7
PreferencePreference
Share of WalletShare of Wallet
ChurnChurn
© Research Solutions – October 2007 8
Net Promoter Score (NPS)
Just another loyalty measure?
The Ultimate Research Solution?
OR
Well, let’s have a look, shall we?
And in case you wondered, this is not a copy of Mark Molenaar’s winning SAMRA conference paper Would you recommend this paper to your friends?.
© Research Solutions – October 2007 9
Source: Satmetrix
In Search of the Ultimate Question
What is the ultimate question?
The ONE that truly helps our clients to understand where their brand sits and WHAT they should do to either maintain or change that position. Basically an easy predictor for future growth.
© Research Solutions – October 2007 10
“Would you recommend brand X to a friend?”
Source: Satmetrix
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The net promoter score is a calculated metricNPS= (% rating 9 or 10) – (% rating 0 to 6)
Let’s look at NPS.
The principle is quite simple really – “would you recommend brand X to a friend on a 0-10 scale?”- Those rating this question 9-10 are called promoters.- Those rating this question 0-6 are called detractors.- Those rating this question 7-8 are called passive.
Plus, NPS asks respondents “what is your primary reason for this rating?” to gain insights into their attitudinal motives.
© Research Solutions – October 2007 11
In Search of the Ultimate Question
• The Net Promoter Score was introduced in December 2003 by noted Bain loyalty consultant Frederick Reichheld
• Bain consultancy claims that the NPS is the “one number you need to grow” - the ultimate question
• Reichheld states that compared with other survey-based questions asked of customers, this score is the most effective across industries at predicting a firm's growthand has successfully moved a wide range of service companies towards the use of the metric– Because customers will have to make a personal sacrifice by risking
their reputation in making a recommendation to someone else
Basically, if more people are champions of your service or product (promoters) than are neutral or detractors of it, your company will grow and vice versa.
Reichheld’s claim is backed up by research conducted amongst over 400 companies in more than a dozen industries. Well, actually just over 50 companies were included in the actual analysis due to certain criteria they had to meet.
However, the results are impressive:- NPS leaders are said to outgrow their competitors in most industries by an average of 2.5 times;- And it’s reported that a 12-point increase in NPS leads to the doubling of a company’s growth rate on average.
© Research Solutions – October 2007 12
“The one number you need to grow.”(Reichheld)
Source: Satmetrix
High NPS =high growth rate
Low NPS =low growth rate
I’m not a statistician, but remember that correlation analysis does NOT imply cause and effect.
It is interesting to note that Reichheld arrived at the “recommend to a friend”question by testing a batch of around 20 customer satisfaction and retention questions within a sample of customers across a range of products and industries, and then correlating their responses with future purchase or referral behaviour. The “recommend to a friend” question was found to have the best correlation, out of the 20 questions tested, 80% of the time (Satmetrix Systems White Paper, 2004).
© Research Solutions – October 2007 13
Achieving success with Net Promoter requires much more than simply calculating your NPS
A successful Net Promoter Discipline includes 5 elements:1. Metrics proven to link to growth, i.e. NPS
2. Leadership practices that instill customer focus, passion and values
3. Organizational strategies to ensure processes
4. Integration with core business processes
5. Operational systems to support the initiative
Overall, a commitment to building customer-centric focus into the business
Source: Satmetrix
Sounds too good to be true? And all this for free? Well, after all, there is no licence fee involved.
Well, that’s not entirely true. It has a number of commercial implications for Bain & Company and Satmetrix:• There’s a book – The Ultimate Question (Reichheld 2006);• A website;• International conferences and more.
And, of course, to gain full potential of NPS and its implications one should use Bain & Company and Satmetrix for their specialised consulting.
© Research Solutions – October 2007 14
Let’s look at the Net Promoter Discipline Roadmap
Source: Satmetrix
Net PromoterFast Start Edition™
Baseline Performance
Net Promoter Standard/Enterprise Edition™
Standard Products
Role-based Reporting
Operationalize
Supporting Transactional Systems
Expand
Now
Future
Gain a basic understanding of the Net Promoter dynamics within your business using a staged approach
Deploy an operational system;move from measurement tomanagement
Implement account and functional-level action plans; incorporatecustomer feedback in decisions
Support insight with additional customer touch-point analysis
Does this roadmap look familiar to you? Not that much different from other consultancy and/or research programmes.
© Research Solutions – October 2007 15
Some Quotations of Senior Corporate Executives….
The last step is how we measure success, and this is something we’ve taken across the company called Net
Promoter Score…. We’re doing it in commercial finance, consumer finance, healthcare, NBCU, every business….
[I]t’s not just a kind of metric for the sake of having a metric. It gets embedded into the culture in terms of how we
interface with customers. (Jeffrey Immelt [2005], Chairman and Chief Executive Officer, General Electric)
We will focus our organisation on what we call Net Promoter score, which
goes much beyond the pure customer satisfaction index. (René Obermann
[2005], Chief Executive Officer, T-Mobile International AG)
So what’s driving growth?... [W]e measure the customers experience using a system called Net Promoter. The
higher the score, the more customers are delighted with the product and service experience and would recommend it to a friend… [I]t’s all about Net Promoter. (Steve Bennett
[2005], President and Chief Executive Officer, Intuit)
The average U.S. company has net promoter scores of between 5 and 10.
We, on early reads, believe that we have scores sort of in the 40-50 range, which certainly would be a point that [is]
quite acceptable. (Glenn Renwick [2005], President and Chief Executive Officer, The Progressive Corporation) All companies should ask their customers what Fred
[Reichheld] calls “the ultimate question”. (Ken Chenault [quoted in Reichheld 2006c], Chairman and Chief Executive
Officer, American Express)
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
Quite powerful stuff, isn’t it? But understandably so. Simple one-number metrics are popular in the boardroom, where life is too short to have to learn how to interpret complex measures.
And it’s not just the Americans who love it. In particular when you do research for a global company, you will ultimately be asked about using NPS.
But you might say, what about those who simply don’t recommend something? Some cultures don’t do it at all, e.g. Asia; others wouldn’t feel comfortable recommending particular things, say in regards to their financial affairs, etc.
© Research Solutions – October 2007 16
Let’s compare NPS with other loyalty measures ~ Case Studies from around the world
1) U.S. ~ American Customer Satisfaction Index (ACSI)
2) Norway ~ Norwegian Customer Satisfaction Barometer
3) Switzerland ~ Customer Commitment
4) New Zealand ~ Customer Delight Index, Preference, Churn
5) New Zealand ~ Share of Wallet, Customer Satisfaction, Customer Commitment
According to Reichheld the ‘net promoter’ score is independent of other measures such as satisfaction and loyalty. However, it is virtually impossible to imagine a scenario in which the results of customers’ overall satisfaction levels, their likelihood to repurchase and their likelihood to recommend the firm were not highly correlated. And a multi-industry study conducted by TNS Global shows that satisfaction scores from 1-10 and NPS scores from 0-10 highly correlate indeed – with R squares of around 0.97 or higher.
© Research Solutions – October 2007 17
American Customer Satisfaction Index
#1
The following 3 case studies were in fact part of Reichheld’s original study in 2003, which led to his claim that NPS is a better predictor of future growth than ACSI.
The study looks at 3-year average growth rates (1999-2002) and 2-year average NPS (2001-2002) – note that this means that Net Promoter Score was correlated to past growth rates, NOT future growth rates.
So actually, Reichheld’s original study does not help to identify whether NPS levels are linked to current or future changes in revenue growth. And remember cause and effect.
© Research Solutions – October 2007 18
Compared to the American Customer Satisfaction Index, it seems that NPS is more highly correlated to 3-year growth for life
insurances (for which there is comparable data)
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
Net Promoter Score American Customer Satisfaction Index
© Research Solutions – October 2007 19
But ASCI is slightly more highly correlated to 3-year growth for personal computer manufacturers
(for which there is comparable data) than NPS is
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
Net Promoter Score American Customer Satisfaction Index
© Research Solutions – October 2007 20
And ASCI is much more highly correlated to 3-year growth forairlines (for which there is comparable data) than NPS is
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
Net Promoter Score American Customer Satisfaction Index
© Research Solutions – October 2007 21
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
These 3 charts of industries examined were presented in the Harvard Business Review
article that introduced Net Promoter.
Based on this data, it’s hard to believe that NPS is so much more effective than ASCI.
© Research Solutions – October 2007 22
Norwegian Customer Satisfaction Barometer
#2
This is based on a study by Keiningham, Cooil, Andreassen, and Aksoy in 2007, who have done 2 things:
• Replicated the original Bain research vs. ASCI as shown before;• Used NCSB data to measure correlations of a variety of commonly used
satisfaction/loyalty metrics.
The Norwegian Customer Satisfaction Barometer was created in 1994-1995 to uncover the degree of satisfaction with various services by interviewing defined companies’ existing customers. Around 15,000 plus customers (representing 21 firms of which 17 where used for the following correlations) were included in this study.
© Research Solutions – October 2007 23
Replicating NPS analysis and looking at 5 industries (representing 17 companies) within the NCSB reveals that…
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
NPS is ahead, but no strong correlation to any measure
in Banking…
Note:• Correlation is shown as r, not r2;
• P-value = probability value, which checks whether results occur by chance or not = the lower the score, the better.
© Research Solutions – October 2007 24
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
Satisfaction (top 2 boxes) is the winner
in Gasoline…
© Research Solutions – October 2007 25
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
Satisfaction (top box) is the winner
in Home Furnishing…
© Research Solutions – October 2007 26
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
Recommendation (mean and top 2 boxes) is the winner
in Security Systems…
© Research Solutions – October 2007 27
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
No correlation whatsoever
in Transportation…
© Research Solutions – October 2007 28
Overall, none of these loyalty/satisfaction measures are significantly correlated to
revenue!!
Source: Keiningham, Cooil, Andreassen, and Aksoy Paper in the Journal of Marketing, July 2007
© Research Solutions – October 2007 29
Customer Commitment
#3
This study was conducted in the Insurance Market in Switzerland in 2006, using the Conversion Model, a proven and validated predictor of future behaviour (both amongst customers and non-customers).
The Conversion Model incorporates…• Satisfaction with current choice and favourability to other choices;• Involvement, i.e. how important is this;• Attraction of other alternatives;• Ambivalence between alternatives.
The Conversion Model classifies users as committed and uncommitted. One would assume that these segments are somewhat similar to the NPS segments, e.g. committed users are similar to promoters.
© Research Solutions – October 2007 30
Conversion Model study in Switzerland showed little overlap between CM and NPS subgroups
Source: Stefan Ruf, Trustmark CFI presented at Ignite 2007
25%9%6%Uncommitted
11%20%27%Committed
Detractor‚Middle'Promoter
Not used for NPS
Net Promoter Segments
CM
Seg
men
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© Research Solutions – October 2007 31
And their mindsets are significantly different ~
Source: Stefan Ruf, Trustmark CFI presented at Ignite 2007
0 20 40 60 80 100
Attribute 1Attribute 2............................................................
Promoters, Committed
Do detractors look like that?
0 20 40 60 80 100
Detractors, Committed
Attribute 1Attribute 2............................................................
Brand XBest Other Brand
0 20 40 60 80 100
Even ‚Middle‘ (not classified by NPS) is correct: CM Committed
Attribute 1Attribute 2............................................................
These people are committed…
All committed customers clearly prefer brand X, but some simply don’t recommend this brand (or maybe any brands in this industry).
© Research Solutions – October 2007 32
And their mindsets are significantly different ~These people are UNcommitted…
Source: Stefan Ruf, Trustmark CFI presented at Ignite 2007
Brand XBest Other Brand
0 20 40 60 80 100
Detractors, Uncommitted
Attribute 1Attribute 2............................................................
0 20 40 60 80 100
Promoters, Uncommitted
Do real promoters look like that?
Attribute 1Attribute 2............................................................
One would expect promoters to be much more positive to their brand than shown above. After all, they intend to recommend this brand. But will they really recommend or are they just saying they will? Remember, they are actually uncommitted.
© Research Solutions – October 2007 33
Does NPS segment the wrong people?They might be promoters or detractors, but
their mindsets and attitudes give them away as committed or uncommitted.
Source: Stefan Ruf, Trustmark CFI presented at Ignite 2007
© Research Solutions – October 2007 34
Customer Delight Index, Preference, Churn
#4
This case study looks into a market where we have 2 extremely strong competitors who basically share the market amongst them.
We look into correlation between the customer delight index and preference, churn and NPS. The CDI score is based on three variables – overall satisfaction, satisfaction vs. expectations, satisfaction vs. ideal.
© Research Solutions – October 2007 35
Some correlation between CDI and NPS~ Consumer tracking study in New Zealand
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CDIChurnPreferenceNPS
• CDI does appear to correlate (though not strongly) with both NPS and preference, with R-squared figures of…
– .42 for CDI vs. NPS– .55 for CDI vs. preference for Brand X
• CDI is NOT strongly correlated to churn, with R-squared of…– .10 for CDI vs. churn
Consumer sample
© Research Solutions
The chart shows VARIATION from the mean over the period for each measure, as a percentage of that mean. NPS has a much greater variation over time than other variables. That is, in August/September 2005, the NPS was almost DOUBLE the average.
© Research Solutions – October 2007 36
But it’s a different story amongst the Business sample…
• CDI does NOT appear to correlate with any of these three measures, with R-squared figures of…
– .13 for CDI vs. churn– .12 for CDI vs. NPS– .03 for CDI vs. preference for Brand X
Business sample
© Research Solutions
-25%-20%-15%-10%
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Chart shows VARIATION from the mean over the period for each measure, as a percentage of that mean. That is, in August/September 2004, the NPS was THREE TIMES the average.
© Research Solutions – October 2007 37
Some correlation to Customer Delight amongst Consumers, but not amongst
Businesses.But wouldn’t we expect promoters to be
delighted as well?© Research Solutions
© Research Solutions – October 2007 38
Share of Wallet, Customer Satisfaction, Customer Commitment#5
This client operates in 4 distinctly different markets:
- Market 1: Client is clearly the market leader with 1 or 2 other competitors;- Market 2: Shared market leader in an extremely price-driven market;- Market 3: Market leader in a very small market with little competition;- Market 4: Small niche competitor in a very big market with numerous competitors.
© Research Solutions – October 2007 39
Does NPS deliver share of wallet?
© Research Solutions
90%
69% 76%
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Promoters Neither Detractors
To some extent – moving from detractor to promoter adds ~10% (except in Market 4)
The objective for this analysis was to provide a view of the value of increasing NPS scores, in terms of numbers of additional sales to be gained (and hence, incremental revenue).
Share of wallet is based on asking respondents what percentage of their current spend is with each of the brands in the market.
© Research Solutions – October 2007 40
Does SERVICE deliver share of wallet?More strongly in Market 2, but not at all in Market 4!
© Research Solutions
87%
30% 36%
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1 - Poor 2 3 - Good 4 5 - Excellent
Rating for overall service experience
Even in an extremely price-driven market service delivery is very important – see Market 2.
© Research Solutions – October 2007 41
But we found that COMMITMENT is a much stronger predictor of share of wallet
© Research Solutions
93%77%
53%67%
90%74% 74%
86%86%
50%36%
20%
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33% 31% 38%46%
30% 27%14%
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Committed to Brand X Uncommitted because they're unhappyShared - Brand X & other brand(s) Casual - don't care who they useCommitted to a competitor
And commitment is a proven predictor of future behaviour.
© Research Solutions – October 2007 42
What happens if we shift NPS scores in different markets?
Market 11.Moving rest into promoters
– For every 1% move in NPS we estimate an extra 0.34 sales per 1000 currently sold – i.e. One extra sale per 3000 currently
2.Moving detractors into rest– For every 1% move in NPS
we estimate an extra 1.06 sales per 1000 currently sold – i.e. One extra sale per 950 currently
NPS can be increased by either moving people from passive into promotersOR moving people from detractors into passive
Estimates based only on best data available ~ Sample not big enough for calculations in Market 3 © Research Solutions
Market 21.Moving rest into promoters
– For every 1% move in NPS we estimate an extra 1.11 sales per 1000 currently sold – i.e. One extra sale per 900 currently
2.Moving detractors into rest– For every 1% move in NPS
we estimate an extra 2.53 sales per 1000 currently sold – i.e. One extra sale per 400 currently
Market 41.Moving rest into promoters
– For every 1% move in NPS we estimate no gain at all –currently the rest give us a higher share of wallet than the advocates do!
2.Moving detractors into rest– For every 1% move in NPS
we estimate an extra 1.45 sales per 1000 currently sold – i.e. One extra sale per 700 currently
Note that the sample in Market 3 was not big enough to accurately calculate share shifts.
For the other 3 markets we did some calculations based on the % of promoters, detractors and passives in each market and also their current share of wallet.
© Research Solutions – October 2007 43
Overall, very little gain by increasing the NPS scores.Highest potential is in more competitive markets, with
fewer market barriers.BUT data suggests that improving the overall service
rating would have more impact in Market 2 than improving the NPS.
© Research Solutions
© Research Solutions – October 2007 44
So is it really the Ultimate Question?
Source: Morgan/Rego when cited by Stefan Ruf at Ignite 2007
Morgan and Rego did some longitudinal analysis in 2006 based on data used from ACSI. Their results show that NPS does not have any value in predicting future business performance.
© Research Solutions – October 2007 45
“Would you recommend NPS to a client as the ultimate measure of
growth?”
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© Research Solutions – October 2007 46
You make up your own mind, but in summary…
• NPS is a simple, easy to understand loyalty measure– And it delivers ONE number
• BUT it’s only one dimensional and not a measure that incorporates competitor situation, ratings or attractions
– And therefore is NOT a true brand measure
• And to call it the “one number you need to grow”, the most effective across industries at predicting a firm's growth, is hard to comprehend
Molenaar’s SAMRA conference paper concludes that the “recommend to a friend” question is literally measuring the same dimension as customer satisfaction. As researchers we know, however, that customer satisfaction is a poor predictor of future behaviour. So why would we want to go back to the Stone Age of market research?
True brand measures take into account that respondents can have a relationship with more than one brand, and therefore may recommend more than one brand (or none).
© Research Solutions – October 2007 47
Discuss why they want to include it and what outcomes they expect.
Ask the recommended question in parallel with your current accepted loyalty measures.
Analyse your results, show correlations, discuss strength and limitations.
So what if your clients ask you to use NPS?
© Research Solutions – October 2007 48
Thank you!
Horst Feldhaeuser, Research Solutions, [email protected]
NNPPSS
References:Keiningham T.L., Cooil B., Andreassen T.W., Aksoy L. 2007. A longitudinal examination of ‘Net Promoter’ on firm growth. Journal of Marketing. Vol. 71 (July 207), 39-51.Molenaar M. 2007. Would you recommend this paper to your friends? Proceedings of the SAMRA Convention, Cape Town, South Africa.Morgan N.A. & Leotte Rego L. 2006. The value of different customer satisfaction and loyalty metrics in predicting business performance. Marketing Science 25 (5): 426-439. Reichheld F.F. 2003. The one number you need to grow. Harvard Business Review - On Point Article, Dec 2003.Reichheld F. 2006. The ultimate question: Driving good profits and true growth. Harvard Business School Press.Ruf S. 2007. Commitment and the Net Promoter score. A comparison: Con-version Model™ (CM) vs. Net Promoter Score (NPS). Conversion Model™Conference, Cape Town, South Africa. Satmetrix. 2006. Getting Started With The Net Promoter®. Satmetrix Net Promoter Fast Start Edition™, www.satmetrix.com.Tronchin E. 2007. Net Promoter score: The one number he needed to grow to promote his career. TNS Customer Equity Company Position Paper, 13 June 2007.