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Intempt

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

1

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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Teams love it

They stopped stitching tools andhired one system.

Jim Stromberg, CEO at StockInvest
StockInvest
“Acquisition and retention finally feel like one connected motion instead of two separate problems.”

Jim Stromberg

CEO, StockInvest

Eric Gardner, COO at FieldsUSA
FieldsUSA
“We finally have one system that sees the whole customer journey.”

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy
Hoperfy
“With Intempt, we built a signal-led pipeline driven by real behaviors.”

Tadas Kertenis

Co-founder, Hoperfy

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