Rice research explores how shopping data could reshape credit scores

houston voices

Everyday data like grocery store receipts can help expand access to credit and support upward mobility. Photo by Boxed Water Is Better on Unsplash

More than a billion people worldwide can’t access credit cards or loans because they lack a traditional credit score. Without a formal borrowing history, banks often view them as unreliable and risky. To reach these borrowers, lenders have begun experimenting with alternative signals of financial reliability, such as consistent utility or mobile phone payments.

New research from Rice Business builds on that approach. Previous work by assistant professor of marketing Jung Youn Lee showed that everyday data like grocery store receipts can help expand access to credit and support upward mobility. Her latest study extends this insight, using broader consumer spending patterns to explore how alternative credit scores could be created for people with no credit history.

Forthcoming in the Journal of Marketing Research, the study finds that when lenders use data from daily purchases — at grocery, pharmacy, and home improvement stores — credit card approval rates rise. The findings give lenders a powerful new tool to connect the unbanked to credit, laying the foundation for long-term financial security and stronger local economies.

Turning Shopping Habits into Credit Data

To test the impact of retail transaction data on credit card approval rates, the researchers partnered with a Peruvian company that owns both retail businesses and a credit card issuer. In Peru, only 22% of people report borrowing money from a formal financial institution or using a mobile money account.

The team combined three sets of data: credit card applications from the company, loyalty card transactions, and individuals’ credit histories from Peru’s financial regulatory authority. The company’s point-of-sale data included the types of items purchased, how customers paid, and whether they bought sale items.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says.

The final sample included 46,039 credit card applicants who had received a single credit decision, had no delinquent loans, and made at least one purchase between January 2021 and May 2022. Of these, 62% had a credit history and 38% did not.

Using this data, the researchers built an algorithm that generated credit scores based on retail purchases and predicted repayment behavior in the six months following the application. They then simulated credit card approval decisions.

Retail Scores Boost Approvals, Reduce Defaults

The researchers found that using retail purchase data to build credit scores for people without traditional credit histories significantly increased their chances of approval. Certain shopping behaviors — such as seeking out sale items — were linked to greater reliability as borrowers.

For lenders using a fixed credit score threshold, approval rates rose from 15.5% to 47.8%. Lenders basing decisions on a target loan default rate also saw approvals rise, from 15.6% to 31.3%.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says. “This approach benefits unbanked applicants regardless of a lender’s specific goals — though the size of the benefit may vary.”

Applicants without credit histories who were approved using the retail-based credit score were also more likely to repay their loans, indicating genuine creditworthiness. Among first-time borrowers, the default rate dropped from 4.74% to 3.31% when lenders incorporated retail data into their decisions and kept approval rates constant.

For applicants with existing credit histories, the opposite was true: approval rates fell slightly, from 87.5% to 84.5%, as the new model more effectively screened out high-risk applicants.

Expanding Access, Managing Risk

The study offers clear takeaways for banks and credit card companies. Lenders who want to approve more applications without taking on too much risk can use parts of the researchers’ model to design their own credit scoring tools based on customers’ shopping habits.

Still, Lee says, the process must be transparent. Consumers should know how their spending data might be used and decide for themselves whether the potential benefits outweigh privacy concerns. That means lenders must clearly communicate how data is collected, stored, and protected—and ensure customers can opt in with informed consent.

Banks should also keep a close eye on first-time borrowers to make sure they’re using credit responsibly. “Proactive customer management is crucial,” Lee says. That might mean starting people off with lower credit limits and raising them gradually as they demonstrate good repayment behavior.

This approach can also discourage people from trying to “game the system” by changing their spending patterns temporarily to boost their retail-based credit score. Lenders can design their models to detect that kind of behavior, too.

The Future of Credit

One risk of using retail data is that lenders might unintentionally reject applicants who would have qualified under traditional criteria — say, because of one unusual purchase. Lee says banks can fine-tune their models to minimize those errors.

She also notes that the same approach could eventually be used for other types of loans, such as mortgages or auto loans. Combined with her earlier research showing that grocery purchase data can predict defaults, the findings strengthen the case that shopping behavior can reliably signal creditworthiness.

“If you tend to buy sale items, you’re more likely to be a good borrower. Or if you often buy healthy food, you’re probably more creditworthy,” Lee explains. “This idea can be applied broadly, but models should still be customized for different situations.”

---

This article originally appeared on Rice Business Wisdom. Written by Deborah Lynn Blumberg

Anderson, Lee, and Yang (2025). “Who Benefits from Alternative Data for Credit Scoring? Evidence from Peru,” Journal of Marketing Research.

From Your Site Articles
Grocery purchase data can accurately predict credit risk for individuals without traditional credit scores, potentially broadening the pool of qualified loan applicants. Photo via Unsplash

Houston researchers find alternate data for loan qualification

houston voices

Millions of consumers who apply for a loan to buy a house or car or start a business can’t qualify — even if they’re likely to pay it back. That’s because many lack a key piece of financial information: a credit score.

The problem isn’t just isolated to emerging economies. Exclusion from the financial system is a major issue in the United States, too, where some 45 million adults may be denied access to loans because they don’t have a credit history and are “credit invisible.”

To improve access to loans and peoples’ economic mobility, lenders have started looking into alternative data sources to assess a loan applicant’s risk of defaulting. These include bank account transactions and on-time rental, utility and mobile phone payments.

A new article by Rice Business assistant professor of marketing Jung Youn Lee and colleagues from Notre Dame and Northwestern identifies an even more widespread data source that could broaden the pool of qualified applicants: grocery store receipts.

As metrics for predicting credit risk, the researchers found that the types of food, drinks and other products consumers buy, and how they buy them, are just as good as a traditional credit score.

“There could be privacy concerns when you think about it in practice,” Lee says, “so the consumer should really have the option and be empowered to do it.” One approach could be to let consumers opt in to a lender looking at their grocery data as a second chance at approval rather than automatically enrolling them and offering an opt-out.

To arrive at their findings, the researchers analyzed grocery transaction data from a multinational conglomerate headquartered in a Middle Eastern country that owns a credit card issuer and a large-scale supermarket chain. Many people in the country are unbanked. They merged the supermarket’s loyalty card data and issuer’s credit card spending and payment history numbers, resulting in data on 30,089 consumers from January 2017 to June 2019. About half had a credit score, 81% always paid their credit card bills on time, 12% missed payments periodically, and 7% defaulted.

The researchers first created a model to establish a connection between grocery purchasing behavior and credit risk. They found that people who bought healthy foods like fresh milk, yogurt and fruits and vegetables were more likely to pay their bills on time, while shoppers who purchased cigarettes, energy drinks and canned meat tended to miss payments. This held true for “observationally equivalent” individuals — those with similar income, occupation, employment status and number of dependents. In other words, when two people look demographically identical, the study still finds that they have different credit risks.

People’s grocery-buying behaviors play a factor in their likelihood to pay their bills on time, too. For example, cardholders who consistently paid their credit card bill on time were more likely to shop on the same day of the week, spend similar amounts across months and buy the same brands and product categories.

The researchers then built two credit-scoring predictive algorithms to simulate a lender’s decision of whether or not to approve a credit card applicant. One excludes grocery data inputs, and the other includes them (in addition to standard data). Incorporating grocery data into their decision-making process improved risk assessment of an applicant by a factor of 3.11% to 7.66%.

Furthermore, the lender in the simulation experienced a 1.46% profit increase when the researchers implemented a two-stage decision-making process — first, screening applicants using only standard data, then adding grocery data as an additional layer.

One caveat to these findings, Lee and her colleagues warn, is that the benefit of grocery data falls sharply as traditional credit scores or relationship-specific credit histories become available. This suggests the data could be most helpful for consumers new to credit.

Overall, however, this could be a win-win scenario for both consumers and lenders. “People excluded from the traditional credit system gain access to loans,” Lee says, “and lenders become more profitable by approving more creditworthy people.”

------

This article originally ran on Rice Business Wisdom based on research by Rice University's Jung Youn Lee, Joonhyuk Yang (Notre Dame) and Eric Anderson (Northwestern). “Using Grocery Data for Credit Decisions.” Forthcoming in Management Science. 2024: https://doi.org/10.1287/mnsc.2022.02364.


Give credit where credit is due. The Woodlands falls in the "very good" category. Photo courtesy of Local Government Federal Credit Union

Houston suburbs charge ahead with some of the highest credit scores in Texas

fit for fico

Give the residents of The Woodlands some credit. They’re able to brag about achieving some of the highest credit scores in Texas.

A new study from personal finance website WalletHub shows the median credit score of a Woodlands resident is 757. Among the 2,572 U.S. cities covered in the study, The Woodlands nabs a 287th-place tie for cities with the highest median credit score.

FICO, the primary producer of credit scores in the U.S., characterizes 757 as a “very good” credit score. On the FICO scale, credit scores range from 300 to 850. A credit score anywhere from 740 to 799 is above the U.S. average “and demonstrates to lenders that the borrow is very dependable,” according to FICO.

WalletHub based the study on September 2021 data from TransUnion, one of the three major credit-reporting bureaus. In the study, The Villages, a retirement community in Florida, is the only city where the median credit score is above 800 — 806, to be exact.

Two other Houston-area suburbs — Montgomery and Friendswood — ranked among Texas cities for the highest credit scores, coming in with a median credit score of 738 and 732, respectively.

Here are the other cities in the top 15 statewide:

  • Colleyville (Dallas-Fort Worth), 777, 23rd nationally.
  • Flower Mound, 762, tied for 185th place nationally.
  • Coppell (Dallas-Fort Worth), 758, tied for 262nd place nationally.
  • The Woodlands (Houston), 757, tied for 287th nationally.
  • Keller (Dallas-Fort Worth), 756, tied for 300th nationally.
  • Allen (Dallas-Fort Worth), 750, tied for 428th nationally.
  • Georgetown (Austin), 749, tied for 446th nationally.
  • Frisco (Dallas-Fort Worth), 748, tied for 467th nationally.
  • Cedar Park (Austin), 743, tied for 568th nationally.
  • Plano (Dallas-Fort Worth), 740, tied for 629th nationally.
  • Montgomery (Houston), 738, tied for 681st nationally.
  • Friendswood (Houston), 732, tied for 784th nationally.
  • Rockwall (Dallas-Fort Worth), 732, tied for 784th nationally.

Among Texas’ biggest cities, Austin is the only one where the median credit score exceeds 700. In the Capital City, the median score is 713, tied for 1,208th nationally. San Antonio is next in line, at 664 (tied for 2,236th nationally), followed by Houston (662, tied for 2281st nationally), Dallas (661, tied for 2,299th nationally), and Fort Worth (615.5, tied for 2,545th nationally).

Bad news for Sugar Land, which is the only Texas city with a median credit score below 600. According to the study, the median score there is 571, putting it in 2,563rd place nationally. FICO identifies that as a “poor” credit score.

J. Keith Baker, a CPA and certified financial planner who teaches at Dallas College’s North Lake campus in Irving, tells WalletHub that the best way to improve or maintain your credit score is to pay your credit card balances in full every month.

“Some folks will close a credit card account thinking it will help them manage their spending and protect them from identity theft since they are not using an account,” Baker says. “While this may make sense for an individual’s financial situation, do not assume it will automatically improve your credit scores.”

------

This article originally ran on CultureMap.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

Rice University partners with astronaut foundation to offer new STEM scholarship

space scholars

Rice University has partnered with The Astronaut Scholarship Foundation (ASF) to offer a new scholarship opportunity for junior or senior STEM majors, beginning this spring.

The prestigious Astronaut Scholarship includes up to $15,000, mentorship, networking and a paid trip to the ASF Innovators Symposium and Gala. The scholarship is funded by the James A. Lovell Jr. Family Endowment, in honor of the late American astronaut and founder of the ASF.

“This scholarship opportunity represents an exciting new avenue for Rice STEM students to synthesize their experiences in courses and research and their commitment to advancing the public good as leaders in their field,” Danika Brown, executive director for the Center for Civic Leadership at Rice, said in a news release. “We are so grateful to the Lovell family and to the foundation for investing in Rice students, and we are confident that the foundation will be impressed with our nominees and that selected students will have a life-changing experience as astronaut scholars.”

The Rice Space Institute and the Center for Civic Learning recently hosted the ASF at the Ralph S. O’Connor Building for Engineering and Science.

At the ASF event, Jeff Lovell—son of James Lovell, who commanded Apollo 13 and flew on Apollo 8—announced the scholarship aimed at Rice STEM students. Charlie Duke, who served as spacecraft communicator for the Apollo 11 Moon landing and as the lunar module pilot for Apollo 16, also spoke at the event.

The ASF awarded 74 scholarships to students from 51 universities across the U.S. last May.

The ASF awarded its first seven $1,000 scholarships in 1986 to pay tribute to the Mercury 7 astronauts. It has since awarded more than $10 million to more than 850 college students.

So far, only students from Texas A&M University and the University of Texas at Austin have received the scholarship in Texas.

Houston hospital first in U.S. to use new system for minimally invasive surgery

sharper images

Houston’s Baylor St. Luke’s Medical Center has introduced an innovative new surgical imaging system that will allow surgeons to increase the number of minimally invasive procedures as well as reposition on the fly during operations.

Minimally invasive surgery has been shown across the board to improve patient outcomes with less chance of infection and shorter recovery times compared to traditional open surgery. However, the human body is not exactly easy to work on through small incisions, necessitating the development of state-of-the-art cameras and imaging technology to guide surgeons.

Enter GE HealthCare’s Allia Moveo, now a part of the Baylor St. Luke’s Medical Center operating room. Using cutting-edge technology, it uses the same high-definition imaging usually seen in the catheterization lab at speeds fast enough to respond to shifting surgical conditions. Its cable-free setup allows surgeons to switch positions much faster, and it features advanced 3D imaging that compensates for breathing motion and interference from metal implants.

Its design supports a range of cardiovascular, vascular, non-vascular, interventional and surgical procedures, according to CommonSpirit Health, a nonprofit Catholic health network, of which Baylor St. Luke's is a member.

“This innovative platform enhances how our clinicians navigate complex minimally invasive procedures by improving mobility, image clarity, and workflow efficiency. It strengthens our ability to deliver precise, patient-centered care while supporting our teams with technology designed for the evolving demands of modern interventional medicine,” Dr. Brad Lembcke, president of Baylor St. Luke’s Medical Center, said in a news release from Baylor and the Texas Heart Institute.

Baylor St. Luke’s is the first hospital in the U.S. to use the Allia Moveo technology. The definition and responsiveness of the new system allow surgeons to navigate the body with greater accuracy and smaller incisions, even for very delicate operations.

“Allia Moveo gives us the flexibility and image quality needed to manage increasingly complex minimally invasive procedures with greater confidence,” Dr. Gustavo Oderich, vascular surgeon and professor of surgery at Baylor College of Medicine, added in the release. “The ability to quickly reposition the system, obtain high-quality 3D imaging, and integrate advanced guidance tools directly into the workflow enhances procedural accuracy. This technology supports our mission to push the boundaries of what is possible in endovascular and interventional surgery.”

Houston clocks in as one of the hardest working cities in America

Ranking It

Houston and its residents are proving their tenacity as some of the hardest working Americans in 2026, so says a new study.

WalletHub's annual "Hardest-Working Cities in America (2026)" report ranked Houston the 37th most hardworking city nationwide. H-town last appeared as the 28th most industrious American city in 2025, but it still remains among the top 50.

The personal finance website evaluated 116 U.S. cities based on 11 key indicators across "direct" and "indirect" work factors, such as an individual's average workweek hours, average commute times, employment rates, and more.

The U.S. cities that comprised the top five include Cheyenne, Wyoming (No. 1); Anchorage, Alaska (No. 2); Washington, D.C. (No. 2); Sioux Falls, South Dakota (No. 4); and Irving, Texas (No. 5). Dallas and Austin also earned a spot among the top 10, landing as No. 7 and No. 10, respectively.

Based on the report's findings, Houston has the No. 31-best "direct work factors" ranking in the nation, which analyzed residents' average workweek hours, employment rates, the share of households where no adults work, the share of workers leaving vacation time unused, the share of "engaged" workers, and the rate of "idle youth" (residents aged 16-24 that are not in school nor have a job).

However, Houston lagged behind in the "indirect work factors" ranking, landing at No. 77 out of all 116 cities in the report. "Indirect" work factors that were considered include residents' average commute times, the share of workers with multiple jobs, the share of residents who participate in local groups or organizations, annual volunteer hours, and residents' average leisure time spent per day.

Based on data from The Organisation for Economic Co-operation and Development (OECD), WalletHub said the average American employee works hundreds of more hours than workers residing in "several other industrialized nations."

"The typical American puts in 1,796 hours per year – 179 more than in Japan, 284 more than in the U.K., and 465 more than in Germany," the report's author wrote. "In recent years, the rise of remote work has, in some cases, extended work hours even further."

WalletHub also tracked the nation's lowest and highest employment rates based on the largest city in each state from 2009 to 2024.

ranking

Source: WalletHub

Other Texas cities that earned spots on the list include Fort Worth (No. 13), Corpus Christi (No. 14), Arlington (No. 15), Plano (No. 17), Laredo (No. 22), Garland (No. 24), El Paso (No. 43), Lubbock (No. 46), and San Antonio (No. 61).

Data for this study was sourced from the U.S. Census Bureau, Bureau of Labor Statistics, U.S. Travel Association, Gallup, Social Science Research Council, and the Corporation for National & Community Service as of January 29, 2026.

---

This article originally appeared on CultureMap.com.

View All Listings