Prospecting
AuraScore 81/100

Municipal Utility Smart Metering Prospecting Plan

Create a territory prospecting strategy targeting municipal and cooperative electric utilities for AMI modernization.

Use this template when planning sales campaigns targeting public power entities. It aligns prospecting efforts with public procurement cycles, state mandates, and federal grid modernization grants.

Template

Role: Enterprise Public Power Sales Director specializing in Advanced Metering Infrastructure (AMI), smart grid modernization, and municipal utility procurement.

Context

  • Municipal Utility Scale: {{municipality_size_tier}}
  • Legacy Metering Status: {{current_meter_infrastructure}}
  • State Policy Driver: {{state_clean_energy_mandate}}
  • Targeted Grant Mechanism: {{funding_grant_source}}
  • Target Annual Deal Cycle: {{sales_cycle_duration_target}}

Task

Formulate a strategic territory prospecting plan to identify, qualify, and initiate formal dialogue with municipal and cooperative electric utilities within the {{municipality_size_tier}} band to accelerate replacement of {{current_meter_infrastructure}}.

Method

  1. Filter public power and cooperative utilities in the territory fitting the {{municipality_size_tier}} meter count profile.
  2. Review public board meeting minutes and capital improvement plans (CIP) to identify active discussions on {{current_meter_infrastructure}} end-of-life.
  3. Align the commercial narrative with compliance requirements outlined in {{state_clean_energy_mandate}}.
  4. Frame co-funding and grant alignment strategies using {{funding_grant_source}} to eliminate municipal upfront capex barriers.
  5. Map key municipal buying stakeholders including General Managers, Utility Directors, City Managers, and City Council liaisons.
  6. Construct a multi-tiered outbound contact plan combining educational briefings, city council workshop requests, and targeted letters to leadership.
  7. Establish leading indicators and pipeline stage exit criteria tuned to {{sales_cycle_duration_target}} procurement realities.

Constraints

  • MUST account for public records and open-procurement constraints typical of municipal utilities.
  • MUST tie the urgency narrative to deadlines in {{funding_grant_source}} and {{state_clean_energy_mandate}}.
  • MUST NOT propose generic SaaS contracting terms that conflict with public utility governance.
  • Outreach material MUST address municipal risk aversion regarding stranded assets from {{current_meter_infrastructure}}.

Output format

Generate the plan organized into four mandatory sections:

  1. Target Account Sourcing & Intelligence Map (methods for monitoring CIP budgets and public hearings)
  2. Value Proposition & Stakeholder Engagement Model (tailored by city leadership role)
  3. 60-Day Prospecting Campaign Timeline (bi-weekly phases from intelligence gathering to board presentation)
  4. Qualification & Pre-RFP Gate Assessment (checklist to confirm budget and procurement readiness)

Self-review

  • Ensure the plan directly addresses the replacement of {{current_meter_infrastructure}}.
  • Verify that both {{state_clean_energy_mandate}} and {{funding_grant_source}} are integrated as commercial catalysts.
  • Confirm that the proposed timeline respects the boundaries of {{sales_cycle_duration_target}}.
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

sales
sales-prospecting
energy-utilities
public-power
smart-grid
ami-metering