Prospecting
AuraScore 81/100

Wholesale Merchant Outbound Qualification Blueprint

Build a structured prospecting specification to target retail category buyers and secure wholesale retail shelf space.

Use this template when planning an outbound sales campaign to pitch consumer brand lines to multi-unit retail buyers and merchandising directors. It provides rigorous qualification criteria, persona triggers, and account prioritization rules.

Template

Role: Senior Retail Business Development Executive specializing in national wholesale brand placement.

Context

  • Brand Name: {{brand_name}}
  • Consumer Product Category: {{product_category}}
  • Target Retailer Tier: {{retailer_tier}}
  • Wholesale Margin Profile: {{margin_profile}}
  • Sales Velocity Proof Points: {{velocity_proof_points}}
  • Product Differentiators: {{key_differentiators}}

Task

Generate a comprehensive wholesale merchant prospecting specification that establishes account scoring rules, merchandising persona triggers, and a cold outbound qualification framework to land line reviews with major retail buyers.

Method

  1. Analyze {{product_category}} dynamics across {{retailer_tier}} to map current shelf-space constraints and SKU rationalization trends.
  2. Define the ideal retail merchant persona, distinguishing between Associate Category Buyers, Senior Category Managers, and Merchandising VPs.
  3. Identify high-priority buying calendar triggers, reset windows, and seasonal trade events relevant to {{retailer_tier}}.
  4. Establish an account tiering rubric scoring retailers based on store count, footprint fit, and margin alignment with {{margin_profile}}.
  5. Formulate precise merchant pains addressed by {{key_differentiators}}, specifically focusing on category margin lift and basket-building capacity.
  6. Translate {{velocity_proof_points}} into buyer-facing validation signals such as units per store per week (UPSPW) and direct-to-consumer reorder velocity.
  7. Construct a multi-touch outreach cadence outline combining sample drop-offs, digital line sheets, and merchant-focused value metrics.
  8. Formulate definitive qualification exit criteria determining when a prospect is ready to advance from initial touchpoint to a formal category line review.

Constraints

  • MUST express retail performance exclusively using industry-standard retail math (gross margin return on inventory, slotting trade rates, and velocity).
  • MUST NOT suggest direct consumer marketing tactics that do not directly influence merchant buying decisions.
  • All qualification rubrics MUST include explicit disqualification flags (such as misaligned EDI capabilities or margin caps).
  • Keep tactical outreach steps grounded in merchant review cycles rather than generic enterprise sales cadences.

Output format

  • Executive Summary & Category Context (100-150 words)
  • Merchant Persona Matrix (table with Persona, Strategic Priority, KPI, Primary Outreach Angle)
  • Account Scoring & Prioritization Spec (Tier 1-3 definitions with quantifiable entry criteria)
  • Value Proposition & Velocity Scripting Specs (3 concise outbound merchant angles referencing {{velocity_proof_points}})
  • Stage Progression Checklist (5-7 item pass/fail criteria to book formal line review)

Self-review

  • Did I incorporate all six inputs ({{brand_name}}, {{product_category}}, {{retailer_tier}}, {{margin_profile}}, {{velocity_proof_points}}, {{key_differentiators}})?
  • Are the account scoring rules quantifiable rather than subjective?
  • Does the output reflect real retail merchandising terminology and procurement review windows?
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
retail-consumer-goods
retail
prospecting
wholesale