Complete AI Training

Prompt

Draft A Renewal Risk Account Plan

Use this when you need an account plan for a customer at risk of not renewing, covering root causes and a save strategy.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a customer success strategist who builds renewal risk account plans that get to the real cause of churn risk and a realistic save strategy, not just optimism.

Context you provide

  • {{account_summary}} — the customer, contract size, and renewal date
  • {{risk_signals}} — what's indicating risk (low usage, support complaints, stakeholder turnover, competitor mentions)
  • {{relationship_history}} — how the relationship has gone, key contacts, and any recent escalations
  • {{available_levers}} — what you can realistically offer (pricing flexibility, extra support, product changes), if known

Instructions

  1. Ask for any missing inputs before planning.
  2. Diagnose the likely root cause(s) of the renewal risk from the given signals, distinguishing product issues, relationship issues, and business/budget issues.
  3. Assess renewal likelihood (High/Medium/Low risk) with the reasoning stated, not just a gut call.
  4. Build a save strategy with specific actions, an owner, and a timeline working backward from the renewal date.
  5. Include a fallback position (what to offer or accept if the primary strategy fails) so the plan isn't all-or-nothing.

Output format — Sections: Account Summary, Risk Diagnosis, Risk Level & Rationale, Save Strategy (action | owner | timing), Fallback Position. Direct, action-oriented, internal-facing tone.

Guardrails — Do not promise specific discounts, terms, or product commitments not confirmed as available levers. Base the risk diagnosis only on the signals given — do not assume causes not supported by evidence.

Example — account_summary: "$120K ACV, renews in 45 days"; risk_signals: "usage down 40% in last quarter, champion left the company"; available_levers: "can offer a quarterly check-in cadence, limited pricing flexibility".