Improve buyer behavior analysis to get, keep, grow customers

New Zealand's leading coalition loyalty program uses SAS® for enhanced customer intelligence.

Loyalty New Zealand's Fly Buys program is the largest loyalty program in New Zealand, with over 50 category leading brands involved and an active membership of over 75 percent of all New Zealand households – one of the highest levels of household penetration anywhere in the world. Fly Buys retail partners cover all major household spending categories including banking, petrol, grocery, hardware, energy, insurance, pharmacy, books and electronics – to name just a few.

As well as providing these Partners with a cost effective loyalty solution that rewards customers for shopping, Loyalty New Zealand also offers an in-depth customer insights service that leverages a wealth of data on customer shopping behaviors, supplemented with a range of additional demographic and attitudinal data sources.

SAS has been a key business partner in the development of Loyalty New Zealand’s enhanced Customer Insight capability, which is now seeing Loyalty New Zealand provide a broad catalog of sophisticated analytics products and services to its Partners. With long hands-on experience of SAS solutions elsewhere, Vince Morder joined Loyalty New Zealand as its Analytics Manager. His brief is to further extend Loyalty New Zealand’s analytical capabilities. 

“We adopted the SAS Business Analytics framework in order to ramp up the service for Partners and provide them with in-depth analyses to help them get new customers, retain the ones they have, and grow their value,” he explained.

Examples of the outputs being generated from the Customer Insights team include highly targeted campaigns, propensity modelling, behavioral and attitudinal segmentations, store catchment area profiling, new site location analysis and at-risk modelling. Vince Morder says that SAS has enabled his team of analysts to capitalize on the ever increasing data set available. "The impetus on my team is to use the data we have to deliver better, faster and more sophisticated statistical analysis."

Using SAS, we are offering a vastly improved analytics service which is helping our partners maximize their return from the Fly Buys program, and provide new insights to drive their businesses.

Vince Morder
Analytics Manager

He highlights the significant time and efficiency savings Loyalty New Zealand has achieved from its SAS implementation – the ability to develop and scale models in under 30 minutes and develop and launch campaigns within a day compared with up to 20 days previously.

One such initiative is known within the company as Project Gatekeeper in which SAS has enabled Loyalty New Zealand to run a points summary with literally hundreds of thousands of discrete variations, by selecting leads across more than 300 separate campaigns. This is now being further refined through the implementation of SAS® Marketing Optimization.

He also points to the increased returns on investment which Partners are gaining from more discreetly targeted marketing campaigns which focus on putting the right offer to the right customer at the right time. This is a win-win outcome for both the Partners and Loyalty New Zealand.

Vince Morder is enthusiastic about the benefits of being able to provide Partners with deeper and more meaningful analyses. “Using SAS, we are offering a vastly improved analytics service which is helping our Partners maximize their involvement and return from the Fly Buys program, and provide new insights to drive their businesses."


With a broad range of behavioural, demographic and attitudinal data at its finger tips, Loyalty New Zealand recognised the potential to offer an enhanced customer intelligence service to its Partners to help them grow their businesses.


SAS® Marketing Optimization


  • Increased ability for Partners to leverage their involvement and maximize their return from the Fly Buys program.
  • Efficiency gains through the ability to develop and scale models in under 30 minutes – a significant time saving and one that has facilitated significant improvements in the speed in which campaigns can be developed and launched.
The results illustrated in this article are specific to the particular situations, business models, data input, and computing environments described herein. Each SAS customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. SAS does not guarantee or represent that every customer will achieve similar results. The only warranties for SAS products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with SAS as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of SAS software. Brand and product names are trademarks of their respective companies.

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