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Why did Q2 churn spike in the West region?

REPORT

Q2 West region churn analysis

Churn in the West region increased 34% QoQ, driven by mid-market accounts (50–200 seats). 72% of churned accounts had open support tickets older than 14 days.

INSIGHT

Support response time is the leading indicator

Accounts with avg. ticket resolution >7 days churned at 3.2× the rate of those under 3 days. This pattern is specific to the West region - Central and East show no correlation.

ACTION

Prioritise West region ticket backlog this week

12 mid-market accounts currently have tickets open >10 days. Escalating these reduces projected Q3 churn by an estimated 18–22%.

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Sash.Ai Insights lets anyone in the organisation ask a business question in plain English and get a structured, sourced, actionable answer in seconds. Not a chart. Not a raw table. A report you can act on.

How it works

Every query returns three things

Not a table. Not a chart. A structured answer: report, insight and action. Every time.

01Report

What happened

A structured summary of the relevant data - time ranges, segments, comparisons. Clear enough for a slide deck. Sourced from the connected systems.

"Q2 churn in the West region rose 34% QoQ, concentrated in mid-market accounts with 50–200 seats."

02Insight

Why it happened

A contextual explanation derived from the data - not a guess, not a correlation-equals-causation leap. Cross-referenced across multiple sources.

"Accounts with ticket resolution >7 days churned at 3.2× the rate of those resolved in <3 days. Pattern unique to the West region."

03Action

What to do next

A specific, actionable recommendation - who should do what, by when and what the projected impact is. Ready for a Slack message or a Monday standup.

"Escalate 12 open tickets from mid-market West accounts. Projected Q3 churn reduction: 18–22%."

Business value

What enterprises actually get

Numbers from live production deployments - not benchmarks, not pilots.

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Deployment

In production in 6–8 weeks

Configured for your data sources, your business context and your team's questions - not a generic BI tool bolted onto a chatbot.

Wk1–2

Week 1–2

Discovery

Map your data sources, key business questions and existing reporting workflows.

Wk2–4

Week 2–4

Connect

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Week 4–6

Build & test

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Wk6–8

Week 6–8

Go live

Your team starts asking questions. Full handover, documentation and ongoing support included.

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Best for

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