Utilities Q&A Perspective Series: To Deposit or Not To Deposit? That Is the Question

by Laura Burrows 3 min read November 18, 2020

New challenges created by the COVID-19 pandemic have made it imperative for utility providers to adapt strategies and processes that preserve positive customer relationships. At the same time, they must ensure proper individualized customer treatment by using industry-specific risk scores and modeled income options at the time of onboarding

As part of our ongoing Q&A perspective series, Shawn Rife, Experian’s Director of Risk Scoring, sat down with us to discuss consumer trends and their potential impact on the onboarding process.

Q: Several utility providers use credit scoring to identify which customers are required to pay a deposit. How does the credit scoring process work and do traditional credit scores differ from industry-specific scores?

The goal for utility providers is to onboard as many consumers as possible without having to obtain security deposits. The use of traditional credit scoring can be key to maximizing consumer opportunities. To that end, credit can be used even for consumers with little or no past-payment history in order to prove their financial ability to take on utility payments.

Q: How can the utilities industry use consumer income information to help identify consumers who are eligible for income assistance programs?

Typically, income information is used to promote inclusion and maximize onboarding, rather than to decline/exclude consumers. A key use of income data within the utility space is to identify the eligibility for need-based financial aid programs and provide relief to the consumers who need it most.

Q: Many utility providers stop the onboarding process and apply a larger deposit when they do not get a “hit” on a certain customer. Is there additional data available to score these “no hit” customers and turn a deposit into an approval?

Yes, various additional data sources that can be leveraged to drive first or second chances that would otherwise be unattainable. These sources include, but are not limited to, alternative payment data, full-file public record information and other forms of consumer-permissioned payment data.

Q: Have you noticed any employment trends due to the COVID-19 pandemic? How can those be applied at the time of onboarding?

According to Experian’s latest State of the Economy Report, the U.S. labor market continues to have a slow recovery amidst the current COVID-19 crisis, with the unemployment rate at 7.9% in September. While the ongoing effects on unemployment are still unknown, there’s a good chance that several job/employment categories will be disproportionately affected long-term, which could have ramifications on employment rates and earnings.

To that end, Experian has developed exclusive capabilities to help utility providers identify impacted consumers and target programs aimed at providing financial assistance. Ultimately, the usage of income and employment/unemployment data should increase in the future as it can be highly predictive of a consumer’s ability to pay

For more insight on how to enhance your collection processes and capabilities, watch our Experian Symposium Series event on-demand.

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About our Experts:

Shawn Rife, Director of Risk Scoring, Experian Consumer Information Services, North America

Shawn manages Experian’s credit risk scoring models while empowering clients to maximize the scope and influence of their lending universe. He leads the implementation of alternative credit data within the lending environment, as well as key product implementation initiatives.

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For decades, credit data has given lenders a trusted foundation for assessing risk. Now, consumer-permissioned cash flow data is adding another layer of insight into consumers’ financial lives, including income, spending, liquidity and changing financial obligations. The opportunity is significant. Nearly one in five consumers lacks access to or has damaged credit. New Experian research also shows that 60% of consumers who have previously been denied credit or received less favorable terms than expected believe the outcome would have been different if lenders had considered their recent income and banking activity alongside their credit history. 1,2 For lenders, cash flow insights can provide additional context about a consumer’s financial capacity and support more informed underwriting decisions. The next challenge is making those insights easier to use consistently and responsibly at scale. What are cash flow insights? Cash flow insights are derived from consumer-permissioned banking data and provide visibility into how money moves into and out of a consumer’s accounts. Depending on the information available, cash flow data can provide insight into financial behaviors such as: Income and income stability: Regular and irregular income streams and changes over time Spending and recurring expenses: Everyday spending patterns and ongoing financial obligations Account balances and liquidity: Available funds and changes in account balances Debt obligations: Loan payments and other recurring debt commitments Cash flow patterns: How money moves into and out of accounts over time Traditional credit information provides a rich history of how consumers have managed credit. Cash flow insights add context about their current financial activity and capacity, providing lenders with a more complete view of financial health. Cash flow insights can also add predictive value to risk assessment. Experian analysis shows Cashflow Score can deliver up to a 25% lift in predictive performance over conventional credit scores when tailored to targeted risk tiers.3 How lenders can put cash flow insights to work at scale As interest in cash flow insights grows, the conversation is moving beyond what the data can reveal to how financial institutions can use it consistently and responsibly. That requires standardized consumer reporting, clear governance and decision-ready insights that can work within established lending processes. The launch of Experian Cashflow Data Bureau at Vision 2026 reflects this shift from access to adoption. The new consumer reporting agency operates under the Fair Credit Reporting Act (FCRA) and is designed to help financial institutions adopt consumer-permissioned cash flow insights at scale. A key part of that foundation is the cash flow consumer report, which organizes consumer-permissioned banking information into a standardized consumer report regulated under the FCRA. This gives lenders a consistent foundation for incorporating cash flow information into lending decisions while providing consumers with access to the information in their report. Turning greater visibility into better decisions The next evolution in credit isn’t about choosing between traditional credit and cash flow data. Each provides a different perspective. Traditional credit information offers deep insight into how consumers have managed credit over time. Cash flow insights can add context about financial activity and capacity. Bringing those perspectives together can give lenders greater visibility into consumers’ financial health and help them better distinguish between risk and resilience, support more informed decisions and identify opportunities to responsibly expand access to credit. As cash flow adoption continues to grow, its value will come from how effectively it complements the information lenders already use. The opportunity isn't simply to see more data. It's to turn that additional visibility into smarter, more informed decisions. Explore how Experian Cashflow Data Bureau is helping financial institutions put consumer-permissioned cash flow insights into practice at scale. Learn more [1] Federal Reserve Bank of New York, The Market for Credit Building: Demand, Product Characteristics and Consumer Uses, 2026. [2] Experian commissioned Atomik Research to conduct an online survey of 2,000 U.S. adults age 18+. Fieldwork took place July 16–21, 2026. Margin of error: +/- 2.2 percentage points at a 95% confidence level. [3] Based on Experian analysis when Cashflow Score is compared with conventional credit scores, tailored to targeted risk tiers. Predictability based on KS.

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