customer segmentation - competitors analysis of creating new product "tea capsules" use in nespresso coffee machine
Master in Big Data Solutions
Business Case: NESPRESSO
Agullo’s Tea Capsules (ATC) is a Company founded 7 years ago in the UK that created a new
concept of teas sold in capsules. ATC sold tea capsules of different flavors and tea-in-capsules-
making devices so that consumers could enjoy a high quality tea with the minimum hassle,
making tea preparation quick and clean. Both the devices and the capsules were sold only in
exclusive own stores that took relevant locations in the main UK cities. The brand was positioned as
high-end, highlighting quality above all other attributes. It was more costly than regular tea bags,
but less than a tea in a tea shop, extremely popular in the country.
The product was extremely successful in the initial years as it became very popular among middle
and upper class families. These customers valued the high quality of the teas, the catalogue of
flavors (not too long, but very high quality and with new flavors added all the time) and the
convenience in its usage and maintenance.
ATC had a 5-year patent on the capsule system (devices and capsules) which allowed it to capture
the entire market for tea capsules. Competitors could not sell either devices or capsules. Given
that selling the devices granted them a customer for a few years and all their business, ATC
subsidized partly the price of the devices, as it was enjoying a short payback (all capsules were
bought at ATC and the margin was enough to compensate for the subsidy).
ATC launched regular campaigns on TV and other media, both national and regional, both online and
offline, presenting new capsules and devices, and reinforcing the high-quality value proposition.
ATC decided that customers could only buy devices and capsules if they became members of the
ATC Club. Customers signed up, providing some basic profile information on their household
(number of members and number of times that they had tea on a typical week) and their contact
information (which included email and cell/landline phone). Any time that these customers went
to the store, they had to identify themselves to the store clerk.
ATC launched weekly campaigns to their customers. All of them received offers and
announcements, both on capsules and new devices, through email and cell phone push. A small
but relevant proportion of customers received telemarketing campaigns with exclusive promotions
(also on devices and capsules). These campaigns were not segmented and target audiences were
selected using basic criteria. Nonetheless, open rates and conversion rates were reasonably high.
Over the initial years, ATC opened new stores throughout the country to reach wider audiences. It
also launched the online store to make it easier for customers living far away from their stores to
receive the capsules directly at home by mail. All these stores and the online channel were also
successful from a business and operational perspective. So far the criteria to open stores has been
city population. When ATC was the only player in the market, they opened stores to the point that
the last openings were barely profitable.
After the first 5 years, and seeing the huge success of the business, new competitors entered the
market. Some competitors focused on the tea capsule market only, developing capsules hat were
compatible with ATC devices. Others developed both devices and capsules. These new competitors
(both partial and total competitors) pursued different marketing and distribution strategies. They
all had a lower cost per capsule (to a greater or lower degree) and they all sold through third party
Master in Big Data Solutions
retailers, not building their own channel, as ATC did. Their marketing approach was based more on
convenience and lower price.
As a result, the sales of ATC capsules started to decline gradually. Some customers stopped buying
capsules completely and some others reduced the frequency of their purchases. This fact occurred
both with lifelong customers but also with new customers, that ‘churn’ after the first weeks. Over
time, competitors are getting better at quality and the trend is not stopping. The sales of the
devices has also fallen since the market ‘liberalized’ 2 years ago. The same trend applies to devices,
where market share has fallen to the new entrants.
ATC Management is concerned about this trend and would like to explore the potential that
analytics and big data can offer to their company to improve overall results.
You are working for XYZ Analytical Consulting and you have been provided with this briefing to
prepare a meeting with ATC Management. You are preparing a document to define the proposal.
The partner at XYZ Analytical Consulting would like to see your ideas to think about the meeting
and agree on the proposal.
Questions:
What analytical-based projects could improve results for ATC? You are expected to describe two
proposals. Select the two projects that you expect that could produce the biggest results in terms of
overall net margin and that are viable with the data that is (presumably) available. You can make
(reasonable) assumptions on information that is not in the case to condition your reply.
Each project description should contain the main elements of an analytics-based proposal (goals,
data, methodology, expected results, integration with business, among other relevant aspects).