Discover how social media profiling enhances credit risk management by analyzing digital footprints.
Traditional credit scoring relies heavily on financial history—but what happens when a borrower has none?
With nearly 1.7 billion adults worldwide remaining unbanked, lenders face a growing challenge: assessing creditworthiness without conventional data points.
This is where social media profiling comes in.
By analyzing a borrower's digital footprint—social media activity, online interactions, and shared data—lenders can gain deeper insights into financial behavior, risk level, and even fraud potential.
But how exactly does it work? And what are the key benefits for risk managers?
In this article, we’ll explore the role of social media in modern credit scoring, its advantages, and best practices for effective implementation.
Social media digital credit scoring evaluates a borrower's creditworthiness by analyzing their activity on social networks.
Social media profiles serve as a data source about applicants. This is due to the large number of users on such online platforms worldwide.
According to Statista, their number currently exceeds 5 billion, and by 2028, it is projected to reach 6 billion.
Creditors should pay attention to users' engagement on social platforms, the consistency of their actions, and their levels of activity.
This helps assess the reliability of applicants and determine the specifics of their financial behavior.
The average borrower has accounts on various types of platforms, providing access to diverse data sources.
For example, entertainment platforms like Facebook or Instagram reveal a person’s lifestyle. Messaging apps help track communication patterns, while LinkedIn provides insights into career and education.
These combined datasets help form a comprehensive understanding of a consumer’s stability and financial habits.
Examining social media is not the only way to assess a person’s creditworthiness. Other digital footprints are also important.
These include online transactions, e-commerce activities, search history, and other relevant data.
When combined with social account search, such information can help create a detailed financial profile of a potential borrower.
Social media data and other digital footprints are often used to supplement traditional financial information.
This allows creditors to make well-informed decisions based on a broad spectrum of data.
Some scoring models go beyond analyzing an applicant’s social profile. They also take into account the creditworthiness of the people they interact with online.
This can serve as an indirect indicator of a person’s solvency.
Utilizing all aspects of social media profiling ensures a well-rounded assessment of borrowers, makes credit-invisible clients visible, and enhances the effectiveness of credit scoring.
Lenders who evaluate creditworthiness using digital footprints, including social media data, can benefit in several ways.
There are many regions worldwide where people lack sufficient access to banking services. This primarily applies to developing markets.
For example, in Nigeria, Mexico, and several other countries, the share of the unbanked population is 60% or more:
In addition to people who do not use financial services, other categories of the population are also unable to obtain loans from traditional banks. For example, applicants without official employment or immigrants who have not yet established a local credit history.
Social media profiling allows lending organizations to extend their services to all the above-mentioned individuals. This is possible due to the wide range of data made available through digital footprint analysis.
A lender can significantly enhance the efficiency of their scoring model by enriching it with data from alternative sources.
RiskSeal’s studies prove that the comprehensive use of both traditional and alternative data delivers the best results:
This chart shows that relying solely on traditional data is not sufficiently effective. The objectivity of alternative data is slightly higher. However, only their combination can lead to the most accurate assessment of potential risks.
A key feature of social media profiling is the ability to search and analyze data in real-time.
For lenders, this capability offers two main benefits:
1. Quick decisions boost loyalty. Faster decisions improve user experience, keeping customers loyal. Borrowers get credit application responses in seconds, unlike traditional checks that take days or weeks.
2. Speed increases efficiency. Quick processing lets credit organizations handle more applications and complete more transactions.
The use of alternative data sources, including social media, helps identify fraudulent schemes more effectively.
Unlike traditional information, a digital footprint is nearly impossible to fake.
Here’s how social media profiling can help detect potential fraudsters:
For effective data enrichment, lenders should follow best practices for social media credit scoring within their companies:
Use alternative data as a supplement to information obtained from credit bureaus.
A complete rejection of financial information is not feasible, as data about delinquencies or collections can still be useful in making an objective lending decision.
To find social media profiles, use tools that provide high-quality information about potential borrowers. Pay attention to the accuracy, relevance, and informativeness of the data.
Platforms like the RiskSeal Digital Credit Scoring system fall into this category.
Use scoring systems based on artificial intelligence and machine learning. These technologies improve the decision-making process and risk assessment, reduce default and fraud rates, and enhance operational efficiency.
Additionally, they help credit organizations optimize their operations and improve the quality of their credit portfolio through personalized offers.
When choosing a tool that provides alternative credit scoring with an API, opt for a provider that prioritizes data privacy following global standards.
For example, the RiskSeal credit scoring system, as a third-party processor, fully complies with GDPR and other regulations governing data security.
You can read more about how this is implemented on our platform in our article on GDPR compliance.
When using social media profiling to assess creditworthiness, creditors must demonstrate care for users.
This includes informing them about the purposes of data collection and the methods of processing their information. It is also essential to obtain prior consent for the collection, use, and storage of data.
This approach helps build trust-based relationships with consumers.
RiskSeal Digital Credit Scoring system specializes in analyzing the digital footprint of potential borrowers. Among other things, the platform conducts social media profile searches, granting access to the following user data:
Based on these and other digital traces, RiskSeal creates a digital credit score for the borrower. It allows for an informed decision to be made regarding lending.
By turning to RiskSeal, lenders get:
As a result of the collaboration, lenders experience an increase in approval rates. With alternative data, they have the opportunity to lend to people without a credit history who are not served by traditional banks. This enables a twofold increase in the number of transactions processed.
RiskSeal Digital Credit Scoring platform provides its clients with the following benefits:
1. Analysis of numerous social media, including local ones. Along with global networks such as Facebook, Instagram, or LinkedIn, we analyze resources that are popular in specific regions.
2. High data quality. RiskSeal focuses on analyzing borrowers’ digital footprints. Unlike financial documents, these data are nearly impossible to falsify. Moreover, the large number of resources analyzed allows for the creation of the most detailed applicant profiles.
3. Real-time checks. Access to real-time information ensures the relevance of the data provided.
RiskSeal’s clients successfully use social media profiling for solvency assessment. They note an expanded target audience, optimized risk management, and an improved customer experience.
To summarize, here are the key points of this article.
To assess the creditworthiness of borrowers, personal data, profile pictures, education and career details, and location data can be used. In other words, all publicly available information on the internet.
Social media credit scoring allows lending to unbanked and underbanked individuals, complements traditional borrower data, provides real-time information, and helps combat fraud effectively.
To achieve the desired results with social media credit scoring, risk managers should follow several recommendations. These include combining traditional and alternative data, analyzing information in real-time, utilizing AI and machine learning, ensuring regulatory compliance, and ensuring transparency of processes.
RiskSeal analyzes borrower data across 200+ platforms, including both global and local resources. As a result of the analysis, we provide clients with a comprehensive data set and a ready-made digital credit score. This allows our clients to make an informed decision regarding loan issuance.