Customer Success
Every CS tool shows you what. Vuon shows you why.
Dashboards and health scores tell you which accounts are slipping. Vuon tells you the reason — it autonomously finds the verified drivers of churn and expansion in your data, decomposes your NRR, and forecasts where it’s headed. It’s the analytics team Customer Success never gets.
Account signalDovetail Software
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Churn risk
Why it’s at risk — verified drivers
High abandonment
66% of the risk score
39%
healthy 12%
Low seat engagement
27% of the risk score
75%
healthy 38%
Too few producers
7% of the risk score
1
healthy 5
The diagnosis
What actually drives your NRR
Vuon reads your product and billing data and finds the behaviors that actually drive churn and expansion — the two halves of NRR. Each signal is measured against your healthy accounts and traced to the row behind it.
No dashboards to build, no health-score rules to maintain — Vuon runs the analysis and refreshes it nightly.
The drivers it found
High abandonment
71%churn
when 30%+ of builds get abandoned
vs 12% at healthy accounts
Low seat engagement
55%churn
when most seats log in under 2×/week
vs 9% at engaged accounts
Single-threaded adoption
30%churn
when the account rests on one content creator
vs 3% once a second creator joins
When it happens
When you lose them
cumulative churn, by tenure
~24% churn by day 90 — roughly 95% of a book’s lifetime churn is spent in the first 90 days.
days since conversion
When they expand
by seats at landing
3–49 seat teams expand within ~47 days; the largest accounts take longer. Time the play by segment.
Your whole book, triaged
Every account ranked by who needs you — automatically
Vuon diagnoses every account in your book and refreshes it nightly. Each one comes with its risk, the reason behind it, and the next move — a prioritized worklist, not a wall of red and green to read.
New account stalling in onboarding — high abandonment and shallow usage — matches the month-2 churn pattern.
68
risk
Long-tenured account decaying — high abandonment, usage thinning. Rare at this age — worth a direct call.
64
risk
Adding seats fast (+42) but usage skewing shallow and abandonment high — expansion at risk.
61
risk
Adding seats (+9) but abandonment climbing and engagement thin — expansion at risk.
57
risk
Verified, not a black box
Every number traces to the row
Most health scores give you a number you can’t inspect. Behind every Vuon number is the full lineage — the warehouse tables, the nodes that transform them, the query, and the rows. Reproducible down to the snapshot it ran on.
Lineage · warehouse → nodes → result
The play
Every diagnosis comes with the fix
Vuon pairs each account’s drivers with the specific plays that worked on comparable accounts — the why and the what-to-do in one view. Your CSMs don’t just see which accounts are at risk; they see exactly how to save them.
Recommended play · Dovetail Software
from what worked on comparable saves
Drive a second content creator — one producer short of the golden path
Accounts that reach two producers in the first weeks retain at ~99%. Right now only the admin has built anything.
Fix the dashboard-creation friction behind 39% abandonment
Users start dashboards and give up — 3× the healthy rate. A guided-build session or a template usually clears it.
Deepen usage beyond a few seats — 75% are low-touch
Engagement is shallow across the 8 seats. Target the 2–3 most active users for a depth push before day 60.