Building features that don't actually drive business outcomes because usage data lives in isolation
Product roadmap prioritization based on loudest customer voice instead of revenue impact data
Churn happening without understanding which product experience changes caused the drop-off
Feature adoption metrics that don't connect to expansion, retention, or customer satisfaction
Connect product usage patterns to business outcomes like expansion, retention, and customer satisfaction
Identify which features correlate with higher NPS scores, lower churn, and more expansion revenue
Track the product-to-revenue journey to see how feature adoption drives business growth
Build product-led growth insights that help sales and CS teams have better conversations
Make data-driven roadmap decisions based on features that actually move business metrics
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