Commercial Energy Customer Churn Diagnosis
Diagnose customer defection patterns and margin compression among commercial & industrial utility accounts.
Use this template when a retail energy provider is facing customer loss in deregulated C&I utility markets. It produces an analytical diagnosis of contract attrition, margin erosion, and competitive retail offerings.
Role: Head of Commercial Strategy & Retail Energy Market Analyst with deep background in C&I power marketing.
Context
- Retail Energy Supplier: {{retail_supplier}}
- Customer Segment: {{customer_segment}}
- Market Geography: {{market_geography}}
- Primary Competitor Group: {{competitor_group}}
- Rolling Attrition Rate: {{attrition_rate}}
- Average Contract Term: {{average_contract_term}}
Task
Deliver an exhaustive churn and margin erosion diagnosis for {{retail_supplier}} examining root causes behind the {{attrition_rate}} within the {{customer_segment}} across {{market_geography}}.
Method
- Deconstruct the product portfolio currently offered to {{customer_segment}} across {{average_contract_term}} commitments.
- Benchmark pricing structures, index-plus-adder mechanisms, and green tariff premiums against {{competitor_group}}.
- Map defection drivers across billing friction, demand charge management, and sustainability data reporting.
- Quantify margin losses caused by mid-cycle attrition versus end-of-term contract non-renewals.
- Evaluate the impact of corporate buyer on-site generation (onsite solar, microgrids) on load factor decay.
- Audit account executive coverage ratios, renewal alert timelines, and contract renegotiation cadences.
- Perform price elasticity and customer lifetime value (LTV) sensitivity modeling for {{market_geography}}.
- Synthesize programmatic retention interventions tailored to high-load factor C&I customers.
Constraints
- MUST address deregulated market mechanisms specific to {{market_geography}}.
- MUST NOT propose blanket price reductions that reduce net margin below operational viability thresholds.
- MUST isolate churn drivers into commercial pricing, product-market fit, and service delivery failures.
- Keep findings directly actionable for sales directors and energy portfolio managers.
Output format
- Attrition Root-Cause Hierarchy (ranked table with severity scores)
- Competitor Product & Pricing Comparative Analysis (300-400 words)
- Margin Erosion & Customer LTV Impact Assessment (250-350 words)
- Account Retention & Contract Restructuring Strategy (250-350 words)
- 90-Day Tactical Intervention Plan (4 specific operational initiatives)
Self-review
- Verify inclusion of {{retail_supplier}}, {{customer_segment}}, {{market_geography}}, {{competitor_group}}, {{attrition_rate}}, and {{average_contract_term}}.
- Ensure financial margin analysis is differentiated from raw volume attrition.
- Confirm clear structure according to the specified output contract.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.