Fintech
Platform Lending: The Trade-Off Between Credit and Privacy

Why would a company offer a loan that earns too little to cover its cost? For a traditional lender, that sounds like a problem. For a digital platform, it can support a larger business. Financing may help customers complete purchases, generate more marketplace activity, and make other services more valuable.
A new study, “Credit, Privacy, and Data Monetization by Digital Platforms,” examines this connection.1 Accepted by the Journal of Economic Theory, the paper explains how platforms can compete with banks even when providing credit costs them more.
The research also identifies a less obvious consequence: offering loans can strengthen the incentive to use customer data. Understanding that relationship helps explain both the opportunity in embedded finance and why cheap borrowing alone tells us little about who ultimately benefits.
Why Platform Lending Works Differently From Bank Lending
Authors Pedro Gomis-Porqueras and Zijian Wang construct a theoretical economy containing buyers, sellers, banks, and digital platforms. Platforms provide digital services and can operate online marketplaces where customer data helps match buyers with suitable sellers.
Better matching creates value. Someone who finds the right product more easily is more likely to complete a useful transaction. However, using personal information also creates privacy costs, represented in the model by the risk of information being leaked or misused.
Credit adds another connection. A platform can finance purchases while also charging for access to its services and marketplace. Its lending decisions therefore affect several sources of income.
This fits the broader development of banking-as-a-service and embedded finance, where financial products become part of another customer experience. The study examines the economic incentives behind that integration, rather than the technical infrastructure needed to deliver it.
How a Lending Subsidy Can Pay for Itself
In the model’s single-platform setting, the platform subsidizes credit for purchases within its online market. Lower financing costs support more trade, increasing the value the platform can capture through marketplace access fees.
Consider a simplified illustration. Financing a purchase might cost a platform $8 while producing only $5 in credit fees. That $3 shortfall could still make commercial sense if the additional transaction supports more than $3 in income elsewhere. These figures are illustrative, not study results.
The important distinction is between lending profitability and total profitability. A platform does not necessarily need to be the cheapest loan provider to offer the cheapest loan. It needs another credible way to recover the difference.
What the Study Finds About Credit and Privacy
The researchers examine several market arrangements. The table below summarizes findings from the paper, with each outcome dependent on the model’s assumptions and conditions.
| Market Arrangement | Model Finding | Economic Implication |
|---|---|---|
| Credit Within the Platform | The platform subsidizes financing. | More trade supports higher marketplace revenue. |
| Credit Outside the Platform | The platform seeks a positive lending profit. | Credit pricing can reduce the attractiveness of outside purchases. |
| Competition Between Platforms | One platform may use data while another provides privacy. | Privacy can become a basis for differentiation. |
| Competition With Credit Services | The conditions supporting a privacy option narrow. | Lending increases the profitability of data use. |
| Specialization Across Platforms | One platform may sell data to another specializing in credit. | Data monetization can support separate, complementary businesses. |
These are theoretical findings, not measurements of how frequently companies follow these strategies. The paper does not establish that any particular platform misuses information or deliberately disadvantages customers.
The Hidden Importance of Customers’ Alternatives
The study’s most distinctive insight concerns what economists call an “outside option”: what customers can do instead of using the platform.
If shopping elsewhere offers good value, the platform has less room to charge for access. If that alternative becomes less attractive, the platform can capture more of the value created inside its marketplace.
In the model, a platform offering credit for outside purchases can influence that alternative through financing fees. Its preferred fee outside the marketplace is higher when it uses customer data than when it does not. This helps explain why credit and data strategies cannot always be evaluated separately.
A practical implication follows: comparing loan rates is only the first step. Customers also need to consider whether financing changes where they shop, which prices they can access, and how easily they can switch providers.
A discount can deliver real savings while encouraging greater dependence on one ecosystem. Those outcomes can coexist. The relevant question is whether the complete arrangement remains attractive after accounting for product prices, fees, repayment obligations, and choice.
Financial Inclusion Needs More Than Easier Approval
The model offers a constructive possibility. When borrowing costs differ across customers, platform subsidies can make credit available to people whom banks find too expensive to serve.
That creates room for useful innovation. Yet access and affordability are separate tests. Approval helps only if repayment fits the borrower’s circumstances and the financed purchase provides sufficient value.
Platform integration can also make financial decisions less visible. A loan embedded in a familiar purchasing experience may feel like another checkout option. Clear repayment information becomes particularly valuable when convenience reduces the time customers spend considering the obligation.
For borrowers and investors, three questions help separate useful integration from growth that merely shifts costs:
- Does financing improve the customer’s total purchase cost?
- Can the customer choose another lender or marketplace without a substantial penalty?
- Does the business remain profitable after credit losses and customer incentives?
These are practical extensions of the paper’s framework, rather than outcomes directly tested by its authors.
Why More Competition May Not Guarantee More Privacy
Competition can create space for different business models. The researchers find conditions under which one platform uses customer data while another attracts customers by providing privacy.
Adding credit changes that balance. Because lending can increase the commercial return from data use, fewer model conditions support a privacy-preserving alternative.
This suggests that counting competitors may be insufficient when assessing consumer choice. Several apps could compete aggressively while depending on similar data practices. Meaningful differentiation would require an alternative that works economically without following the same approach.
The integration of banking, identity, loyalty, and commerce also appears in Securities.io’s interview on building a connected financial ecosystem. The investment implication is that integration deserves examination at the business-model level: which connections improve service, and which primarily increase the cost of leaving?
Grab Offers Exposure to Platform Finance
For investors interested in this convergence, Grab provides a publicly traded example. Its business combines mobility and deliveries with financial services, making it relevant to the paper’s discussion of platforms expanding into credit.
GRAB Price Chart
In its second-quarter 2026 results, Grab reported financial services revenue of $134 million, up 59% year over year. Its gross loan portfolio reached $2.3 billion, including contributions from consolidating Superbank. Excluding Superbank, the portfolio doubled.
The segment still recorded an adjusted EBITDA loss of $15 million. That combination illustrates why loan growth and profitability must be examined together. It does not establish that Grab follows the subsidy strategy described in the paper.
Grab’s September announcement of a proposed controlling investment in Atome Financial reinforces the strategic relevance. The company agreed to acquire an initial 60% stake for $1.49 billion, with completion expected by the third quarter of 2027, subject to approvals and other conditions.
The investment question extends beyond the size of the loan portfolio. Investors should examine whether expansion improves sustainable earnings after funding costs, defaults, incentives, and integration expenses. Acquisition-driven growth also needs to be distinguished from growth within existing operations.
Latest Grab (GRAB) News and Developments
What Makes Platform Lending Sustainable?
The paper provides a useful lens for evaluating financial innovation: follow the complete flow of value. A low lending margin may support a profitable marketplace, but it can also obscure weak credit economics. Greater data use may improve matching while imposing costs customers cannot easily compare.
The strongest opportunity lies in platforms that make financing more accessible while demonstrating durable returns and preserving meaningful customer choice. Cheap credit can be valuable. Understanding what finances that discount is what turns an appealing offer into an informed decision.
References:
1 Gomis-Porqueras, P., & Wang, Z. (2026). Credit, privacy, and data monetization by digital platforms. Journal of Economic Theory. Advance online publication. https://doi.org/10.1016/j.jet.2026.106273












