The FinTech SaaS company had built a solid customer base on a platform recognized for technical reliability and consistent performance. Growth had been steady and the product was delivering measurable value to the customers using it.

The pricing the business was collecting did not reflect the value the platform was producing. Pricing had been built around internal metrics, specifically the number of user seats, rather than around the economic activity the platform was enabling. A customer processing significant transaction volume through the platform paid the same as a customer processing a fraction of that volume if the seat counts were comparable. The pricing was disconnected from the dimension of customer activity that mattered most commercially.

That disconnection shaped every sales conversation. The basis for the price was a feature set and a seat count rather than the transaction volume and revenue impact the platform supported. Sales conversations that could have been about economic contribution became comparisons of feature lists and seat costs against alternatives that were less capable but priced on the same metric. The pricing was pulling the commercial conversation toward the dimension where the platform was least differentiated rather than toward the dimension where it was most valuable.

Leadership understood that the ceiling the business was encountering on revenue per customer was not a product limitation. The platform was creating more value than it was capturing. The pricing was the constraint. The company engaged City Shift Finance to examine where the gap between delivered value and captured value was largest and what was required to close it.

The engagement began by examining how customers were actually using the platform and where the economic value of that usage was concentrated relative to what the pricing was capturing.

The findings were specific. The platform processed financial transactions at scale for customers whose business performance was directly connected to the volume and reliability of those transactions. The pricing charged for seats bore no relationship to the economic activity the platform was enabling. Customers for whom the platform was most valuable, those with the highest transaction volumes and the greatest dependency on platform performance, were not paying in proportion to that value. The pricing structure had no mechanism to capture it.

The work focused on where the relationship between customer value and price had broken down and what the commercial consequences of that breakdown were for both the business and its customers. The dimension of customer activity that most directly reflected the value the platform delivered was examined in relation to what the pricing was actually measuring, and the gap between the two was mapped across the customer base.

The outcome was a commercial approach where pricing reflected transaction volume rather than seat count, connecting what customers paid to the economic activity the platform was enabling rather than to an internal metric that had no relationship to the value they were receiving.

With pricing connected to the dimension of customer activity that reflected actual platform value, the relationship between customer growth and revenue growth changed. Customers whose transaction volumes were growing were now generating revenue growth for the business in proportion to that growth rather than remaining flat on a seat-based structure that had no mechanism to capture it.