6 min read
Some companies focus on building and launching products before fully understanding whether they meet market demand. As a result, growth decisions are often made before customer demand is firmly established.
Camila De Souza, Vice President, Innovation Economy at J.P. Morgan, offers her perspective on how founders can recognize product-market fit and build toward durable demand.
Product-market fit (PMF), a term popularized by venture capitalist Marc Andreessen, is defined as being in a market where a product can satisfy a need. In practice, it’s better understood as an ongoing signal to be measured, interpreted and acted upon. For an early-stage company, reaching it is often the catalyst for their startup—where a promising idea becomes a business that can scale. But it’s important to treat PMF as a diagnostic, not a final destination.
Behavioral signals are the most reliable indicators. Returning users, repeat transactions, referrals and expansion point to a product that’s delivering value, while stated preferences in surveys or interviews are often less reliable.
Transaction data, cash flow patterns and payment behaviors can help a business see product-market alignment as it emerges. With help from a digital payments platform, these patterns can appear as increases in payment frequency, changes in average transaction size and shifts in retention behavior. Together, they provide a more complete picture of whether the market need is sustainable.
Revenue is often viewed as the primary measure of success, but it’s actually a lagging indicator that reflects past activity, not the strength of customer engagement.
“What customers do—such as returning, referring, expanding, paying more—matters far more than what they say in surveys,” De Souza said.
Insightful metrics focus on behavior, specifically how customers engage with a product:
One widely used gauge, the Sean Ellis test, asks customers how they’d feel if they couldn’t use the product any longer. If more than 40% say they’d be very disappointed, that’s when a startup is approaching PMF.
Qualitative signals are important, too. Customer interviews, support interactions and feedback loops provide context for what the data alone can’t explain.
As startups grow, metrics that help translate product engagement to sustainable business performance become more important, such as customer retention, churn and cost of acquiring customers.
Another signal is how quickly a company recoups customer acquisition costs. A shorter payback period often reflects improving unit economics (and, in some cases, stronger demand) and can be an important metric investors consider when assessing a business. These are often the signs investors watch to determine whether a company is ready to scale.
Visibility into cash flow and transaction-level activity allows startups to track these signals early. They also help founders understand how much revenue they generate and how predictable it will be over time.
Startups can fall into familiar traps despite access to data and frameworks.
Growing too quickly is one of the most common mistakes. Expanding headcount, infrastructure or moving into new markets before establishing need can lead teams to rely on assumptions that haven’t been entirely tested, resulting in overspending and reduced financial flexibility.
Other common traps include:
Companies that expand before establishing interest and need can face pressure on cash flow, forcing them to slow down or make tough operational decisions. Keeping spending in line with proven demand can help sidestep these issues.
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Finding PMF is an iterative process that depends on learning as much as possible from customers. Rather than focusing mainly on building, successful teams understand who their users are, what problems they face and how they’re solving them. In practice, this often follows a build-measure-learn rhythm: ship a minimal version, watch how customers respond and refine from there. The harder choice is knowing when to persist with the current approach and when to pivot to a new one.
Structured conversations focused on past behavior provide reliable insight. Data can help reinforce those findings by showing where users engage with a product, where they drop off and how their actions change over time.
“Churned customers are the most underutilized asset in a founder’s toolkit,” De Souza said. “That moment when the product stopped being worth their time is your most valuable insight.”
The path to PMF varies depending on the industry. However, there’s one consistent pattern: companies that begin with a defined customer segment and test their assumptions regularly tend to gain traction faster.
“Watching this across so many industries, there's no single timeline for reaching fit. What looks slow in one sector is on pace in another,” De Souza said.
PMF plays a key role in how startups are funded. Before it’s established, founders typically use capital to explore whether there's genuine need. After it becomes clear, the focus then shifts to scaling a model that’s already working.
This shift can influence how some investors evaluate companies. Businesses with signs of proven customer demand tend to have more leverage in fundraising discussions. By contrast, raising significant capital before demand is established can create problems.
In some cases, too much funding too early may pressure companies to expand hiring or enter new markets before they’re ready, making it harder to adjust course if assumptions prove incorrect. It can also leave founders chasing growth they aren't ready for.
Once PMF is established, the challenge shifts to achieving disciplined growth. A key question is whether early success can be repeated as the company reaches more customers.
Signs of readiness to scale include bringing in new customers at a consistent cost, retaining them and seeing them continue to use and pay for the product. If these patterns weaken as the company grows, it may be a sign that more refinement is needed.
Scaling also requires changes in how a company operates. Early progress is often driven by founders, but growth depends on creating processes that others can follow. Products developed during early testing may need to be simplified. Pricing should be clear and easy to understand as the customer base expands.
As companies grow, financial operations become more complex, especially when they enter new markets. Managing payments, liquidity and foreign exchange in a consistent way can help companies navigate uncharted territories and achieve growth more efficiently.
Understanding that PMF isn’t permanent means continually adapting solutions. Markets evolve, customer expectations shift and competition changes.
Maintaining PMF requires ongoing engagement with both data and customers. When feedback loops remain active, teams can continue to test assumptions. Companies that treat PMF as a capability, rather than a milestone, may be in a better position to navigate change and manage growth.
Finding product-market fit is one of the most consequential challenges in early-stage company building—and the financial decisions you make along the way matter. The J.P. Morgan Innovation Economy team works with startups of all sizes and can help you build the right financial foundation for growth. Visit our Innovation Economy content hub to discover more insights.
Camila De Souza
Vice President, Innovation Economy, J.P. Morgan
JPMorgan Chase Bank, N.A. Member FDIC. Visit jpmorgan.com/commercial-banking/legal-disclaimer for disclosures and disclaimers related to this content.