See how many days a support spike leads a churn spike by

If support ticket volume reliably rises before cancellations do, that's an early-warning system you're not using. This plots both on one dual-axis chart with priority decomposition and the actual lead-lag between them.

AnalyticsData AnalystSaaSQuick setup1 step1 output

Report

Report produced by this recipe.

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What it does

Plots support ticket volume against subscription cancellations on a dual axis, decomposed by ticket priority, with the lead-lag time between a ticket spike and a churn spike measured directly.

You get

a support-vs-churn correlation report

How it works

Line up tickets against churn

build_insights_report

Weekly ticket counts by priority against cancellations by reason over 12 weeks on a dual axis. Flags weeks where high priority tickets ran 50% above the 8 week average and checks whether ticket spikes lead churn spikes by the usual 2 to 4 weeks.

Produces:Report

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