
Financial stability and a positive credit score are among the most sought-after achievements for many adults in the United States. However, attaining this stability can be challenging, particularly for the millions of individuals with limited access to resources that can help improve their credit scores. In response to these challenges, alternative data is revolutionizing the landscape for those seeking to expand their credit access.
Alternative data refers to personal information not traditionally included in standard credit scoring models. This type of data offers a more comprehensive view of consumer behavior across various aspects of life, enabling businesses to make better-informed decisions. Essentially, alternative data paints a fuller picture of a consumer’s financial situation beyond what is captured in conventional credit files.
Examples of alternative data include specialty finance data and utility data. Specialty finance data encompasses information related to short-term loans, rent-to-own agreements, and other non-traditional lending characteristics. In contrast, utility data reflects payment histories for telecommunications, television, home security, and other utility services. These data points demonstrate financial trustworthiness and can score up to 32% of previously unscorable consumers, paving the way for greater access to credit.
Research indicates that over 75 million Americans face obstacles in accessing credit, often due to having a thin or invisible credit file. A thin credit file typically contains four or fewer credit accounts, resulting in a limited credit history. Conversely, individuals categorized as credit invisible have no traditional credit file at all. Alarmingly, nearly one in three adults in the United States falls into one of these categories.
Several demographic groups are particularly affected by low credit visibility, including:
Being classified as credit invisible can be financially burdensome. For instance, a subprime credit score can lead to significantly higher interest rates on loans, such as mortgages. In fact, 57% of Americans report needing to seek external financial assistance to manage these unexpected expenses.
Leveraging alternative data could enable more than 8 million additional U.S. consumers to transition into scorable credit bands. When combined with traditional credit files, alternative data offers immense possibilities for enhancing credit accessibility. The integration of artificial intelligence (AI) can further refine credit scoring processes, helping to level the playing field. With these advancements, an additional 2 million consumers could qualify for prime and super-prime offers.
The positive ramifications of alternative data and AI are profound. Utilizing utility data alone could make an additional 6.5 million individuals scorable. This data is capable of scoring 25% of those previously unscorable. Furthermore, integrating specialty finance data and telecommunications data could score nearly 2 million more individuals.
Over 90% of American adults have at least one utility bill in their name. As utility bills increasingly become a key factor in credit scoring, countless Americans are poised to see improvements in their credit scores. Research indicates that nearly 70% of individuals have experienced a positive change of 10 points or more to their credit scores, with 10% seeing a remarkable 25-point increase.
Through the innovative application of alternative data, a new horizon of economic potential is emerging. A range of services and third-party support systems are continually evolving to reshape financial opportunities for Americans. The focus on creating broader access to credit reflects a promising future in which alternative data plays a pivotal role in transforming financial landscapes and enhancing economic stability for millions.


