Wise

Wise was founded to solve a fundamental problem: moving money across borders was slow, expensive, and unnecessarily complex. The founders—Kristo and Tava—were frustrated by how much it cost to transfer money internationally. When CPO Nalan Pyrus joined early in the company's journey, they had product but no customers. The team initially tried traditional paid channels like Google Ads, but quickly realized the unit economics didn't work. Money transfer is a low-margin business, and if you charge users a high fee to move money, they feel worse off afterward. This constraint forced them to think differently about growth.

Instead of chasing expensive paid channels, Nalan and the team decided to deliberately build a word-of-mouth engine. The breakthrough came when they started measuring Net Promoter Score (NPS) religiously. They asked every customer the classic NPS question: "Would you recommend Wise to a friend?" (0-10 scale). They then overlaid referral data against NPS scores and discovered something powerful: users who scored 6-7 had low invite rates, but users who scored 8-9 doubled their invitations, and 9-10 doubled again. This revealed a non-linear relationship between product quality and word-of-mouth growth.

More importantly, they read the NPS comments obsessively—emailing them to the entire company every week for years. Customers kept saying the same three things: make it faster, make it cheaper, make it easier to use. These became the three pillars of Wise's strategy.

Rather than incrementally improving these dimensions, Nalan learned a critical lesson: "You have to give them an experience they didn't know was previously possible." When Wise entered the US market at 5.9% (barely undercut competitors at 6%), customers used it but didn't talk about it. Only when they dropped to 0.35% did word of mouth take off—a roughly 17x improvement.

To achieve this, they worked backwards from first principles. What is the theoretical minimum cost to move money into a market? What's the theoretical maximum speed? Then they invested years of engineering to get there. For price, they allocated every single cost (customer service calls, compliance verification, currency risk) back to the transaction that caused it. They identified which customer segments were driving 80% of costs and charged them appropriately, then used the margin to drop prices for everyone else. This wasn't about A/B testing price incrementally; it was about building conviction and making big strategic bets.

An unexpected growth lever emerged when they rebranded and shared their mission: "Make the world's money move instantly for almost nothing." They sent this mission statement to customers in an email with no call-to-action, no signup button. It forwarded around organically and brought in more customers than any marketing campaign. The authenticity resonated because the company was genuinely built by people on visas, immigrants, and globally-mobile workers who had felt this pain.

This emotional connection created advocacy beyond rational product benefits. When Wise needed an eKYC license in Singapore—and faced a requirement to physically verify every customer face-to-face—they opened an office and had their verification team work on site. They got customers so invested in the mission that customers themselves lobbied the Singapore regulator. Within a year, Wise secured the world's first eKYC license in Singapore, enabling selfie-based verification.

Today, Wise moves $12 billion per month, growing 30-40% year-over-year. They've been profitable for over four years with 20% EBITDA margins. They acquire 1 million customers per quarter, and crucially, 70% of those customers discover Wise through word of mouth. This is higher than the NPS of Google or the iPhone in financial services contexts where legacy banks score -30.

Their product expanded beyond transfers to the Wise Account (international banking) and enterprise infrastructure products. Their approach to product development shifted away from constant experimentation: they built conviction on what matters (price, speed, simplicity) through qualitative and quantitative insights, then made bold moves rather than testing every variable. This faster, conviction-driven approach proved more effective than traditional experimentation for a word-of-mouth business.