Where Should We Grow Next in Fintech? Using the Ansoff Matrix to Pick Your Next Move
Direct answer: In fintech, your next growth move usually falls into one of four Ansoff quadrants: sell more of your current product to current customers (market penetration), take that product to new segments or geographies (market development), build new products for your existing base (product development), or launch new products for new markets (diversification). For most fintechs, penetration and product development carry the lowest risk and the fastest payback because they build on an existing regulatory footprint and customer trust—diversification is where growth stories quietly die. The right choice depends on where your unit economics, compliance capacity, and distribution advantage actually line up.
The Ansoff Matrix is deceptively simple, but in a regulated, trust-dependent industry like fintech it forces the questions founders tend to skip. Below is a concrete walkthrough.
The four Ansoff quadrants, translated for fintech
1. Market penetration (current product, current market). Grow share where you already play. For a fintech this means increasing activation, reducing churn, expanding per-account revenue, and winning customers from direct competitors. Questions to ask: What is your current share of wallet per active user? Where does the funnel leak between signup and first transaction? Is churn driven by product gaps or by pricing? What "good" looks like: a clear, measurable lever (e.g., improving KYC-to-funded conversion) with a payback you can defend, and no new licensing required.
2. Market development (current product, new market). Same core product, new customers—typically a new geography, a new business segment (SMB vs. enterprise), or a new customer type (consumer to embedded/B2B2C). In fintech this is rarely "just" go-to-market: a new country means new regulators, new payment rails, and new fraud patterns. Questions to ask: What license or partner-bank arrangement does the new market require, and how long does it take? Does your risk model generalize to the new population? Can you localize compliance and support without rebuilding the product? What "good" looks like: a market where your existing product solves a real, underserved need and where the regulatory path is understood, not hand-waved.
3. Product development (new product, current market). Sell something new to the customers who already trust you. This is often the strongest quadrant for fintech because acquisition is already paid for and you own the relationship: a neobank adding lending, a payments company adding treasury, a payroll app adding earned-wage access. Questions to ask: Does the new product deepen the relationship or distract the roadmap? Do you have the balance-sheet or partner capacity (e.g., for credit)? What new risk—credit, fraud, liquidity—are you now underwriting? What "good" looks like: a product that raises retention and LTV of the existing base, built on rails you already operate.
4. Diversification (new product, new market). New product, new customer, new risk—all at once. Sometimes necessary (a card issuer moving into crypto custody, say), but it is the highest-risk box and frequently underestimates the compliance and capital cost. Questions to ask: Is this a genuine adjacency or a bet dressed up as strategy? Would you fund it as a standalone company? What "good" looks like: a defensible reason you—and not a fresh startup—should win, usually a data, distribution, or licensing advantage.
A practical walkthrough
Run the matrix as a working session, not a slide:
- Map today honestly. Write down your current product, current segment, and your one real competitive advantage (data, license, distribution, cost of capital).
- Generate candidate moves in each quadrant. Force at least two per box, even if some feel wrong.
- Score each move on three fintech-specific axes: regulatory/licensing burden, unit-economics viability at scale, and how much it leverages your existing advantage.
- Stress-test the assumptions. Every fintech growth plan rests on a conversion rate, a loss rate, or a take rate. Name them and pressure-test them.
- Sequence, don't parallelize. Compliance and engineering capacity are finite. Pick one primary quadrant and one hedge, and set explicit kill criteria.
Where Percision fits—and where it doesn't
Full disclosure: I work on content for Percision, an AI strategic-intelligence platform, so treat this as one option among several.
Percision runs your business context through structured reasoning steps across 27+ frameworks—including the Ansoff Matrix—and produces board-ready output in roughly 7–15 minutes rather than the multi-week timeline of a traditional engagement. For a "where should we grow next" question, it's useful in three ways: it forces candidate moves into all four quadrants so you don't just rationalize the option you already favored; it layers financial intelligence (DCF, 60+ ratios, warning signs) onto each move so a new-product or new-market bet is scored on economics, not enthusiasm; and it exports a command-center dashboard and a presentation deck you can actually take to a board. It's a co-pilot, not an autopilot—your leadership team keeps the decision.
When you don't need it. If you already know the answer is "penetrate harder in our current market" and the debate is purely operational, a spreadsheet and a strong PM will do. If your growth question is deeply tied to a specific regulator's stance—a novel license interpretation, a nuanced BSA/AML question—you need a fintech attorney or a specialist consultant, not any general framework tool. And if your data is too thin to model unit economics, fix that first; no framework improves guesswork.
On the general point that AI tools can speed up knowledge work: a 2023 field study from Harvard Business School, BCG, and others found consultants using GPT-4 completed tasks faster and at higher quality within the tool's competence—and performed worse when the task fell outside it. That's the honest frame: AI accelerates the structured analysis, and human judgment guards the edges.
If you want to run the Ansoff analysis on your own numbers and see a scored, board-ready output, you can try it at percision.app.
What this looks like when the analysis is actually run
Two quadrants: sell more advances to merchants you already have, or turn the origination capability into a marketplace for other people's capital.
The subject is Verrano Pay, a sample company profile we use for testing rather than a customer: an SMB payments platform, $9.4B of annual volume, $84M net revenue, 28,000 merchants.
Excerpt from a real Percision run · Competitive Positioning (T9) · sample company profile
Market penetration. Scale the embedded merchant cash-advance product from $110M drawn to the full $260M capacity by increasing advance penetration from 14% to 22% of the 28,000-merchant base. Because underwriting relies solely on Verrano-processed volume, incremental CAC is near zero and contribution margin remains 70% at a 31% gross yield. The move does not require new distribution channels, new underwriting models, or new regulatory licences.
Diversification. A marketplace auctioning originated advances to 3–5 third-party capital providers, adding 100k merchants and 3+ capital providers within 36 months while staying inside the $150M warehouse facility — $200M of advances auctioned by Month 18 and $1.1B by Month 36.
What penetration returns. Total net revenue $98M Year 1, $112M Year 2, $126M Year 3, with lending growing from 22% to 38% of revenue; lending contribution margin above $32M annualised by Month 24.
The gates. Penetration: charge-off above 8.5% for two consecutive quarters, or any vertical-SaaS partner terminating integration. Marketplace: fewer than 2 capital providers by Month 12.
| Horizon | Projection |
|---|---|
| Year 1 | $1.9M-$5.8M marketplace revenue |
| Year 2 | $7.7M-$23.1M marketplace revenue |
| Year 3 | $19.2M-$57.6M marketplace revenue |
The penetration case is unusually clean because nothing new is required — no channel, no underwriting model, no licence. It is the same product sold to more of the same merchants using data already being processed, which is why contribution margin holds at 70% all the way to $260M.
Lending at 38% of revenue is the number to sit with. That is the point at which the company is more a lender than a software business, and no amount of margin improvement changes how the market will classify it.
Read a complete Percision report — every page, no email required.
FAQ
Which Ansoff quadrant is safest for a fintech? Usually market penetration, then product development to your existing base—both leverage relationships and licenses you already hold. Diversification is the highest-risk quadrant and is easy to underestimate on compliance and capital cost.
How is the Ansoff Matrix different from just picking a roadmap? A roadmap lists what you'll build; Ansoff forces you to classify each move by product and market novelty, which exposes hidden risk—especially the regulatory and capital risk that a feature list hides.
Can I do this without a consulting firm? Yes. A structured internal workshop, a spreadsheet for unit economics, and honest kill criteria are enough for many teams. Tools like Percision compress the analysis and add financial modeling; specialist counsel is still needed for licensing questions.
Disclosure: This article was produced by Percision, maker of the strategic-intelligence platform referenced above.