From 14% to 6% churn risk across high-value accounts at FinFlow
Fragmented customer knowledge
Before adopting a continuous approach, the team’s understanding of customers was fragmented across tools, dashboards, and documents. Product decisions were often informed by historical reports or isolated research efforts that no longer reflected how customers were actually using the product. As the company grew, this gap widened, leading to misaligned priorities, repeated debates, and slow reactions to emerging customer issues.
From periodic insights to continuous intelligence
Instead of relying on occasional research cycles, the team focused on building an ongoing view of customer behavior and feedback. Signals from different touchpoints were connected over time, allowing context to accumulate rather than reset with every new analysis. This shift helped teams see patterns forming gradually, understand why behavior was changing, and share the same customer narrative across product, design, and engineering.
What changed:
- Signals were connected instead of analyzed in isolation
- Context accumulated over time, revealing emerging patterns
- Customer understanding became accessible across teams
Better decisions with less guesswork
With continuous customer intelligence in place, teams gained confidence in their decisions. Understanding evolved alongside customers, reducing uncertainty and enabling faster, more aligned product development
Results included:
- Earlier detection of behavior changes
- Clearer priorities based on current customer needs
- Stronger alignment across teams and functions
“Percept gave us early visibility into frustration and disengagement. We were able to reach out before issues escalated, and that changed how we think about customer success.”
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