Churn Rate

Cluster NPS, support, interviews, and churn data into actionable themes

Build subscription billing, dunning, proration, and tax calculation flows

Reduce churn by building cancellation flows, save offers, and win-back campaigns

Score customer accounts for churn risk from support and usage signals

Plan discovery interviews that collect stories, not opinions

Design CS org structures, segmentation tiers, and success metrics.

Score account health, flag churn risk, and surface at-risk cohorts.

Create post-sale campaigns for onboarding, upsell, and retention.

Score customer health, predict churn, find expansion plays

Design growth loops, activation flows, and PLG retention strategies

Measure PMF with Sean Ellis, retention curves, and reference customers

Optimize post-signup onboarding to increase activation and time-to-value

Design pricing tiers, run WTP analysis, and build a packaging matrix

Design a pricing model, tiers, and value metric that maximizes revenue

Create renewal playbooks, forecast pipelines, and plan upsell motions.