Skillsize

— Sales & Growth

Customer churn & renewal risk

Learns from accounts that have already renewed or churned to rank renewal risk across the base, shows the factors that move it, and returns a prioritised save-list with the reason behind each account.

  • Sales & Growth
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks → ~15 minutes

For a full population, not a sample

No coding required

Input
Customer account data with known renewal outcomes and open renewals
Output
Account-level renewal risk assessments for open renewals
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use Customer churn & renewal risk for

Renewal planning under pressure

Provides a prioritised list of upcoming renewals at risk, with account-level reasons and revenue context to support focused retention planning.

Understanding churn by segment

Compares renewed and churned customers across segments, highlighting differences in usage, tenure, support demand and sentiment that may help explain retention patterns.

Reviewing the retention portfolio

Gives commercial leaders and advisers a consolidated view of renewal risk and revenue exposure, supported by a practical list of accounts needing attention.

Focusing account owner effort

Equips account owners with the signals behind each risk assessment and suggested retention priorities, providing a clearer basis for account discussions.

What it works from

  • Customer account data with known renewal outcomes and open renewals
  • Account segments, annual recurring revenue and customer tenure
  • Product usage, support ticket volumes and customer sentiment measures
  • Account ownership and renewal dates

What you get back

  • Account-level renewal risk assessments for open renewals
  • Explanations of factors contributing to renewal risk
  • Comparisons of churned and renewed customers by segment
  • Prioritised retention list with suggested areas for intervention

— HOW IT BEHAVES

How Customer churn & renewal risk produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Every row of the contract portfolio

Each row of your export is processed on the same basis, so no clause is skipped however long the table is.

Composed as work product

Findings on the contract portfolio are written up as a document that reads like professional output, with each claim tied back to a clause.

Roll-up alongside clause-level detail

Detail rows are summarised into the grouped view of the contract portfolio without losing the underlying clauses.

Why this is expensive by hand

Renewal risk is often spread across usage data, support history and account sentiment, making it difficult to distinguish isolated concerns from patterns associated with churn. Renewal planning under pressure is the typical trigger — provides a prioritised list of upcoming renewals at risk, with account-level reasons and revenue context to support focused retention planning. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.

How this Skill produces it

Here the same job runs as a Skill. Your material goes in; account-level renewal risk assessments for open renewals comes out, alongside explanations of factors contributing to renewal risk. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.

Who it's for

  • Revenue and commercial leaders
  • Sales operations and enablement teams
  • Customer success and account management leads
  • Consultants advising on go-to-market

Run it in Skillsize — or export it anywhere

Customer churn & renewal risk exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.

ChatGPTClaudeCopilotAI Products (MCP)

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