ALM Media, LLC
British Gas
Mosaic Insurance
Oxford Nanopore Technologies
WS Audiology (WSA)
Kiwi.com
Flight Centre
Healius Pathology
Varo Bank
Yorkshire Building Society Group (YBS)
Sharang Patil, Director of Group Finance Excellence
United Airlines
GFG Alliance
Energy Australia
Delaware North
Moneycorp
Prodigy Finance
M&T Bank
Minerals Technologies Inc. (MTI)
Church's Chicken
A leading North American airline wanted to expand the usage of its co-branded credit cards
An analytics-driven ‘lookalike customer acquisition’ model was developed by leveraging the data from the client’s loyalty program
The solution enabled the airline to identify the right target audience to whom co-branded credit cards could be marketed
The client, a premier North American airline, aimed to expand the usage of its co-branded credit card in an effort to optimize its marketing campaigns.
The airline was already running a profitable loyalty program. WNS leveraged data from the client's loyalty program to develop an analytics-driven 'lookalike customer acquisition' model. The model compared loyalty program members who held a co-branded credit card with those who did not, against parameters such as membership tenure, transactions and travel miles with affiliate companies. The model revealed the following:
The top member decile comprised more than 30 percent of loyalty program members who also held a co-branded credit card
The top five member deciles comprised more than 83 percent of loyalty program members who also held a co-branded credit card
A large pool of loyalty program members who presently did not own co-branded credit cards and to whom co-branded credit cards could be marketed
WNS further assessed the lifetime value of loyalty program members who did not own a co-branded credit card, but to whom a co-branded credit card could be marketed.
WNS' solution enabled the airline to identify the right target audience and project the revenue gains by expanding the usage of its co-branded credit cards.
Travel and Leisure
15 March 2022
Process Efficiency
28 January 2022