Introduction of
National Australia Bank
This report
aims to provide deep insights into the Net Promoter Score metrics and how it
can provide detail regarding customer satisfaction. NPS is a measure from which
it can be known whether the customers are promoters or detractors.
The CMO of NAB
(National Australia Bank) wants to implement the Net Promoter Score (NPS). The
CMO Jane Porter was pressurized by the CEO of the organization to replace the
customer satisfaction metric. The major Australian Banks which include CBA, Westpac
and ANZ have sifted to NPS and now Jane is deciding whether to move to NPS or
not. Jane has decided to consult with leading marketing analytics consultant to
know whether customer satisfaction is a good metrics or should be replaced with
NPS.
Literature Review of National Australia Bank
Keiningham, et
al. (2008) have suggested that at a central stage, the managers need a
practical and dependable approach to screen and improve execution that depends
on strong information. Be that as it may, as per our exploration, a
considerable lot of the fundamental suppositions about NPS are defective.
Accordingly, administrators who are guided by NPS may create ridiculous
perspectives about execution, worth and investor riches, driving them to
misallocate assets. Albeit Net Promoter might be easy to actualize and simple
to impart and may help organizations to remember the significance of client
steadfastness, the cases about the exploration supporting the measurement are centred
around the development. In particular, Net Promoter has been touted as the “single
most reliable indicator of a company’s ability to grow” (Keiningham, Aksoy, Cooil, & Andreassen,
2008).
Shaw (2008) has
proposed that the customer metrics such as Net Promoter have to be the main
pointers that pave the way for the modifications in economic pointers such as
revenues. For that reason, this confirmation could be considered as an interval
indicator — general public report high Net Promoter scores in one year or more
right after the development take place. A clarification of this is the fact
that they are reacting to the apparent endorsement of the products; they approve
what they have perceived to be those developing products. In addition, he also
has mentioned that the involvement is really a vital factor of customer
behaviour, as well as low-connection purchasing behaviour which is totally divergent
from high-connection purchasing. The massive mainstream of purchases are low-connection
along with the habit is every so often the controlling power for the consumer.
These low connection purchases by their nature will not produce Word of Mouth
buzz, and as a result, Net Promoter can be assigned as a valuable measure on both
cause as well as effect foundations (Shaw, 2008).
Stewart and
Worthington (2015) have stated that for a great part of the 1990s and through
until the mid-2000s, the executives were resolved to improving consumer
loyalty, utilizing measurements, for example, relative satisfaction, average
satisfaction, as well as 'rate exceptionally satisfaction. At
that point, in a 2003 Harvard Business Review article, Fred Reichheld of Bain
and Company presented the NPS. This was pursued not long after by his 2006
book, The Ultimate Question, where he propelled a searing assault on
the fulfilment universality, broadcasting the support question to be its
legitimate successor, and the NPS as "one number you have to develop".
In spite of the way that his cases of NPS' prevalence have since been addressed
by promoting scholastics, no doubt the board was prepared for another 'silver
projectile', bringing about the NPS presently being the standard client metric
over various associations.
The NPS
computation is a trademarked context and two different gatherings. Supporting
the estimation is his case that a client's response to the backing question can
be utilized to dependably group them as either advertiser (steadfast fans who
stay with purchasing from a company and encourage their companions to do
likewise), depreciators (despondent clients caught in a terrible relationship),
or passives (fulfilled however apathetic clients who are effectively charmed by
the challenge). The NPS estimation is then a basic netting of his supposed advertisers
and detractors (Stewart & Worthington, 2015 ).
According
to the research findings of Keiningham, Cooil,
Andreassen, and Aksoy, (2007) net promoter scores (NPS) method is a measure
through which non-financial and financial changes in the future business
operations of an organization can be measured. Non-financial are loyalty and
satisfaction of customers that lead to financial changes such as sales and
growth of profit from the execution of future business operations (Keiningham,
Cooil, Andreassen, & Aksoy, 2007).
Another
information-based report on net promoter scores (NPS) presented an idea against
the use of net promoter scores in the organizations for performance and quantitative
analysis of organizational operations in the consumer market. NPS has several
drawbacks which are identified in this report (Reichheld, 2003). Key limitations of net promoter scores
(NPS) method in the measurement process is that it covers limited dimensions
about performance measurement. A website report presents the importance of NPC in
the forecasting process. NPS is considered as the simplest approach for
managers to utilize for performance measurement. Although, it’s assumed as
quite easy to understandable approach for its users (Stewart, Dave; Worthington, Steve, 2015).
Summarizing
research outcomes it is clear that managerial staff and organizations are
adopting net promoter scores to study customers and their preferences. Moreover,
net promoter scores (NPS) is supported by some researchers because of its
advantages such as simplicity and easiness. However, at the same time, some of
the researchers and market reports have presented arguments against net
promoter scores (NPS) method and its implementation in the companies because of
some limitations and drawbacks associated with it.
Methodology of
National Australia Bank
Project is following a simple methodology
of questionnaire development and data collection from the targeted market.
Survey method is used to collect quantitative data or customer responses in the
form of unarranged and ungrouped data. Raw data is further arranged in the
spreadsheet and classified as the promoter, detractors, and passive to
calculate and measure net promoter scores (NPS). Graphs and tables are added in
the report to use graphical visualization and projection for the ease of
readers to reach a conclusion easily. Total 191-208 respondents are selected
for survey and data analysis of question 3 and 2 respectively. In this report,
four research questions were developed which are presented below:
Q1. Main bank
for personal banking services?
Q2. How
satisfied are you with your main bank for personal banking services?
Q3. How likely
would you be to recommend your main bank to friends and colleagues for personal
banking?
Q4. If you were
to choose one bank today to manage your personal banking, which one would you
choose?
Interpretation of National Australia Bank
According to
the quantitative data analysis of research data NPS value for question 2 is
around 17. Although promoters, detractors, and passives are 77, 41, and 90
respectively. However, the total percentage of these respondents indicate that
around 22% of respondents have selected level 10 option. While the total number
of respondents for this question was around 208 including customers of NAB
bank. These respondents are projecting least value for level 4 (on the scale of
11 levels starting from 0 to 10). See the presented below table and attached
graph in the appendix for further details about respondents and net promoter
scores.
Question No. 2
NPS Score
|
Number of Respondents
|
% Of Respondents
|
Promoters
|
Detractors
|
Passives
|
|
|
10
|
45
|
22
|
77
|
41
|
90
|
|
NPS
|
9
|
32
|
15
|
37
|
20
|
43
|
|
17
|
8
|
65
|
31
|
|
|
|
|
|
7
|
25
|
12
|
|
|
|
|
|
6
|
10
|
5
|
|
|
|
|
|
5
|
12
|
6
|
|
|
|
|
|
4
|
1
|
0
|
|
|
|
|
|
3
|
5
|
2
|
|
|
|
|
|
2
|
2
|
1
|
|
|
|
|
|
1
|
7
|
3
|
|
|
|
|
|
0
|
4
|
2
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Total Respondents
|
208
|
|
|
|
|
|
|
The following
graph is projecting responses of customers in response to the question about the
level of customer satisfaction towards offered banking services by the selected
banks. The question asked to the respondents in the survey is “If you were to
choose one bank today to manage your personal banking, which one would you
choose?”
The following
table is representing the results of NPS analysis taken by the use of recent
survey report on the bank. For question 3, total respondents were around 191. While
on the other hand, total promoters, detractors, and passive consumer for
personal banking services are 60, 55, and 76. However, calculated NPS scores
for question 3 are around 3.
NPS Score
|
Number of Respondents
|
% Of Respondents
|
Promoters
|
Detractors
|
Passives
|
|
|
10
|
29
|
15
|
60
|
55
|
76
|
|
NPS
|
9
|
31
|
16
|
31
|
29
|
40
|
|
3
|
8
|
46
|
24
|
|
|
|
|
|
7
|
30
|
16
|
|
|
|
|
|
6
|
9
|
5
|
|
|
|
|
|
5
|
19
|
10
|
|
|
|
|
|
4
|
5
|
3
|
|
|
|
|
|
3
|
5
|
3
|
|
|
|
|
|
2
|
3
|
2
|
|
|
|
|
|
1
|
4
|
2
|
|
|
|
|
|
0
|
10
|
5
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Total Respondents
|
191
|
|
|
|
|
|
|
The following bar
graph is a graphical projection of responses collected from 191 respondents. In
this graph the overall trend of customers is presented towards the level of potential
to recommend banking services of their selected bank to their relatives and
colleagues. The question asked to the respondents in the survey is “How likely
would you be to recommend your main bank to friends and colleagues for personal
banking?”
Recommendation of National Australia Bank
The
bank should implement NPS for customer loyalty management. The NPS approach
provide more detail regarding the customer satisfaction which only customer
satisfaction survey cannot provide. The bank should replace performance
measurement system by NPS because from this the organization can increase brand
loyalty in the minds of the customers. NPS should be used for financial
forecasting because from this it can be known how much customers are purchasing
products of the corporation. The NPS computation is a trademarked context and
two different gatherings. Supporting the estimation is his case that a client's
response to the backing question can be utilized to dependably group them as
either advertiser.
References of National Australia Bank
Keiningham,
T. L., Aksoy, L., Cooil, B., & Andreassen, T. W. (2008). Linking customer
loyalty to growth. mIt Sloan management review, 51.
Keiningham, T. L., Cooil, B., Andreassen, T. W., &
Aksoy, L. (2007). A Longitudinal Examination of Net Promoter and Firm Revenue
Growth. Journal of Marketing, 71, 39-51.
Reichheld, F. F. (2003). The One Number You Need to Grow. Harvard
Business Review, 81, 46-54. Retrieved from Harvard Business Review.
Shaw, R. (2008). Net promoter. Journal of Database
Marketing & Customer Strategy Management, 138-140.
Stewart, D., & Worthington, S. (2015 , JULY 21 ). The
problems with net promoter scores: how to better measure customer advocacy.
Retrieved from
https://www.marketingmag.com.au/hubs-c/problems-net-promoter-scores-better-measure-customer-advocacy/
Stewart, Dave; Worthington, Steve. (2015). An open letter
to CMOS: why you shouldn’t trust net promoter scores. Marketing magazine.
Retrieved from
https://www.marketingmag.com.au/hubs-c/open-letter-cmos-shouldnt-trust-net-promoter-scores/