Even a simple loyalty program can woo customers into visiting more or prevent them from straying. Photo via Getty Images

Almost everyone who has shopped at a supermarket or hopped on a plane has been invited to join a customer loyalty club. But even the businesses that offer these programs are sometimes unsure of who uses and benefits from them most.

Rice Business Professor Arun Gopalakrishnan joined Zhenling Jiang from the University of Pennsylvania and Yulia Nevskaya and Raphael Thomadsen from Washington University in St. Louis to study non-tiered loyalty programs (these differ from tiered loyalty programs, which offer more benefits and exclusivity to customers who spend more).

These simpler programs, the researchers found, can have a striking value: the program they studied increased customer value by almost 30 percent during a five-year time frame, they found. That's considerably higher than previously found in this type of loyalty program. Almost as surprisingly, the program's effect on moderately loyal customers – seemingly among the likely beneficiaries – was minimal. Instead, it had the most dramatic impact on customers who had previously showed either great engagement with the firm or almost no engagement at all.

"The main upside of the program was that it got people to stick around with the firm, preventing defection," Gopalakrishnan said on the podcast INFORMS. At the company he studied, more than 80 percent of the total lift came simply from keeping customers in the fold.

Typically, he added, loyalty programs are assumed to be most worthwhile to frequent or high-spending customers. But the researchers found that very low-frequency customers who joined the program were also more likely to stick around, even though it didn't make much economic difference for them. "There may be some psychological benefit, just from being part of the program, that helps keeps these less frequent customers from walking away," Gopalakrishnan suggested.

Researchers have found it fairly easy to study tiered loyalty programs. But the exact value of the simpler, non-tiered programs is more obscure. That's because the previous studies typically included customers who had self-selected by joining a loyalty program.

Gopalakrishnan's research took a different approach. To address the imprecisions of past research, he and his team built a data collection model that let them examine consumer behavior both before and after customers joined a loyalty program. Importantly, the model also distinguished between program members (some of whom had been automatically signed up for the program) and nonmembers.

Using this more detailed model, the research team studied the behavior of more than 5,500 men's hair salon clients over 30 months. The research was possible because the team had already been following these clients to track how much money they spent during each visit, their frequency of visits, the types of services and products they used and if they used any type of discounts.

Then, ten months into the study, the hair salon chain created a non-tiered loyalty program. Customers who joined received a coupon via email for $5 off for every $100 they spent. Other customers chose not to join. That allowed researchers to compare the behavior in the two groups, with non-members as the control group.

The loyalty program had no impact on the amount of money clients spent during each visit, researchers found. Gopalakrishnan's team speculated that this might be because industries like hair salons have only a limited ability to increase sales of goods and services. Hair, after all, only grows so fast. On the other hand, the loyalty program did appear to influence how often customers visited.

Rather than increasing the frequency of visits for moderate clients, however, non-tiered loyalty programs changed the behavior of customers who were at the two poles of engagement: those who rarely showed up and those who visited so often they were practically on a first-name basis with their stylist.

At a time when consumers are overwhelmed with marketing ploys to lure their time and dollars, a thoughtful loyalty program can indeed be a good business investment, Gopalakrishnan's team concluded. However, managers should bear in mind that the benefit may not be exactly what they expect. Instead of giving a gentle nudge to turn steady customers into bigger spenders, good loyalty programs seem best at corralling outliers into the herd.

------

This article originally ran on Rice Business Wisdom and is based on research from Arun Gopalakrishnan, assistant professor of marketing at Rice Business; Zhenling Jiang, assistant professor of marketing at the Wharton School of the University of Pennsylvania; and Raphael Thomadsen and Yulia Nevskaya, professor of marketing and an assistant professor of marketing, respectively, at the Olin Business School of Washington University in St. Louis.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”

Axiom Space wins NASA contract for fifth private mission, lands $350M in financing

ready for takeoff

Editor's note: This story has been updated to include information about Axiom's recent funding.

Axiom Space, a Houston-based space infrastructure company that’s developing the first commercial space station, has forged a deal with NASA to carry out the fifth civilian-staffed mission to the International Space Station.

Axiom Mission 5 is scheduled to launch in January 2027, at the earliest, from NASA’s Kennedy Space Center in Florida. The crew of non-government astronauts is expected to spend up to 14 days docked at the International Space Station (ISS). Various science and research activities will take place during the mission.

The crew for the upcoming mission hasn’t been announced. Previous Axiom missions were commanded by retired NASA astronauts Michael López-Alegría, the company’s chief astronaut, and Peggy Whitson, the company’s vice president of human spaceflight.

“All four previous [Axiom] missions have expanded the global community of space explorers, diversifying scientific investigations in microgravity, and providing significant insight that is benefiting the development of our next-generation space station, Axiom Station,” Jonathan Cirtain, president and CEO of Axiom, said in a news release.

As part of Axiom’s new contract with NASA, Voyager Technologies will provide payload services for Axiom’s fifth mission. Voyager, a defense, national security, and space technology company, recently announced a four-year, $24.5 million contract with NASA’s Johnson Space Center in Houston to provide mission management services for the ISS.

Axiom also announced today, Feb. 12, that it has secured $350 million in a financing round led by Type One Ventures and Qatar Investment Authority.

The company shared in a news release that the funding will support the continued development of its commercial space station, known as Axiom Station, and the production of its Axiom Extravehicular Mobility Unit (AxEMU) under its NASA spacesuit contract.

NASA awarded Axiom a contract in January 2020 to create Axiom Station. The project is currently underway.

"Axiom Space isn’t just building hardware, it’s building the backbone of humanity’s next era in orbit," Tarek Waked, Founding General Partner at Type One Ventures, said in a news release. "Their rare combination of execution, government trust, and global partnerships positions them as the clear successor-architect for life after the ISS. This is how the United States continues to lead in space.”