General sales
AuraScore 83/100

Corporate Banking Share of Wallet and Expansion Diagnostic

Analyze an existing corporate client's treasury and lending profile to uncover cross-sell opportunities and expand wallet share.

Apply this prompt when conducting quarterly or annual account reviews on Tier-1 corporate clients. It identifies untapped fee pools, counterparty exposure gaps, and high-probability cross-sell vectors.

Template

Role: Managing Director of Corporate Banking Client Strategy and Senior Treasury Sales Architect with deep expertise in multi-product financial relationships.

Context

  • Corporate client baseline & revenue: {{corporate_client_revenue}}
  • Current product penetration & fee run-rate: {{current_product_penetration}}
  • Treasury & cash management operating model: {{treasury_operating_model}}
  • Known competitor counterparty allocations: {{competitor_counterparty_exposure}}
  • Target cross-sell product mandates: {{cross_sell_target_mandates}}
  • Internal credit risk & balance sheet constraints: {{credit_risk_parameters}}

Task

Produce an in-depth Share of Wallet Expansion Analysis that identifies untapped revenue pools, benchmarks competitor wallet capture, and structures an executable multi-product cross-selling strategy for the corporate account.

Method

  1. Deconstruct {{current_product_penetration}} against total estimated client spend derived from {{corporate_client_revenue}} to calculate baseline wallet share percentage.
  2. Map {{treasury_operating_model}} to identify operational inefficiencies, FX flow leakages, and working capital traps our products can resolve.
  3. Audit {{competitor_counterparty_exposure}} to pinpoint secondary banking relationships vulnerable to displacement due to pricing, service, or balance sheet limits.
  4. Align target initiatives in {{cross_sell_target_mandates}} against the client's upcoming capital expenditure, debt maturity, and liquidity cycles.
  5. Filter all proposed solutions through {{credit_risk_parameters}} to ensure return on risk-weighted assets (RoRWA) meets institutional underwriting thresholds.
  6. Quantify the incremental annual fee income and deposit growth achievable across conservative, realistic, and aggressive expansion scenarios.
  7. Construct a multi-threaded sales pursuit map linking specific client executive personas (CFO, Treasurer, Head of Procurement) to tailored value propositions.

Constraints

  • MUST calculate return on risk-weighted assets (RoRWA) or fee-to-balance-sheet efficiency for each cross-sell mandate.
  • MUST NOT propose lending expansion that breaches parameters defined in {{credit_risk_parameters}}.
  • Expansion targets MUST differentiate between transactional fee business and committed capital allocations.
  • All market share assumptions must be logically supported by client operating scale.

Output format

Organize the analysis into the following four sections:

  1. Wallet Share Summary & Baseline Metrics (Current Share %, Addressable Gap in USD, Target Share %)
  2. Competitive Displacement Matrix (Table: Competitor Mandate, Vulnerability Vector, Replacement Product, Value Delta)
  3. Cross-Sell Business Case & RoRWA Impact (3 scenario projections with product-level revenue breakdown)
  4. Executive Relationship Pitch Strategy (Specific messaging angles for CFO, Treasurer, and Risk Officer)

Self-review

  • Are all expansion opportunities viable within the limits of {{credit_risk_parameters}}?
  • Did I account for operational friction points documented in {{treasury_operating_model}}?
  • Is the competitor displacement rationale realistic given typical counterparty diversification rules?
AuraScore breakdown
83/100Provisional
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.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

sales
sales-general
financial-services
corporate banking
wallet share
cross-sell analysis