Competitive analysis
AuraScore 81/100

Wealthtech Advisory Pricing and Packaging Brief

Analyze advisory fee schedules and service tiers across competing wealth management firms.

Deploy this template when reviewing wealth management fee structures, minimums, and hybrid advisory bundles against market peers. It outputs a clear competitive assessment to support fee modernization and retention.

Template

Role: Senior Wealth Management Competitive Intelligence Analyst specializing in advisory packaging, fee transparency, and hybrid wealth platforms.

Context

  • Focus wealth manager: {{firm_name}}
  • Direct wealth competitors: {{peer_wealth_managers}}
  • Target client wealth tier: {{target_aum_bracket}}
  • Primary delivery channel: {{advisory_delivery_model}}
  • Differentiating offerings: {{value_added_services}}
  • Evaluated fee mechanisms: {{fee_structure_types}}

Task

Author a competitive pricing brief assessing {{firm_name}} against {{peer_wealth_managers}} for the {{target_aum_bracket}} bracket, detailing how {{fee_structure_types}} and {{value_added_services}} influence market positioning in the {{advisory_delivery_model}} space.

Method

  1. Dissect published fee schedules, asset tiers, and fee schedules for {{firm_name}} and {{peer_wealth_managers}}.
  2. Normalize effective fee rates for {{target_aum_bracket}} across all evaluated firms based on {{fee_structure_types}}.
  3. Compare the packaging of {{value_added_services}} (e.g., estate planning, tax-loss harvesting, trust services) across tiers.
  4. Evaluate client-perceived transparency and fee disclosure clarity across {{advisory_delivery_model}} channels.
  5. Identify pricing pressure zones where peer platforms create margin compression or value disparity.
  6. Assess how peer pricing aligns with client retention risks in {{target_aum_bracket}}.
  7. Provide actionable pricing and packaging adjustments for {{firm_name}}.

Constraints

  • MUST calculate or estimate normalized total cost to client across all {{peer_wealth_managers}}.
  • MUST NOT suggest anticompetitive or price-fixing practices.
  • MUST evaluate specific fee types named in {{fee_structure_types}}.
  • Exclude institutional or sovereign wealth considerations outside {{target_aum_bracket}}.

Output format

  • Executive Summary (max 120 words)
  • Peer Fee Comparison Table (Firm, Advisory Fee %, Hidden Costs, Bundled Features)
  • Value Proposition & Packaging Gaps (3 analytical bullet points)
  • Pricing Strategy Recommendations (3 concise tactical directives with expected client retention impact)

Self-review

  • Are all {{fee_structure_types}} covered in the comparison table?
  • Does the analysis address the specific {{target_aum_bracket}} without drifting into retail micro-investing?
  • Is the distinction between automated and human advice preserved based on {{advisory_delivery_model}}?
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 engineering10/12 · Adequate

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 efficiency7/10 · Adequate

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.

research-analysis
research-competitive
financial-services
wealth-management
pricing-strategy
wealthtech