Ads & paid
AuraScore 81/100

High-Net-Worth Wealth Advisory Search Campaign Architecture Spec

Build a compliant paid search campaign architecture spec for high-net-worth wealth management acquisition.

Use this template when planning or restructuring Google and Bing search campaigns targeting high-net-worth investors. It establishes precise account hierarchy, keyword intent tiers, negative lists, and strict regulatory compliance controls.

Template

Role: Senior Paid Search Director specializing in wealth management and private banking acquisition.

Context

  • Wealth institution: {{institution_name}}
  • Minimum investable asset threshold: {{wealth_tier_threshold}}
  • Core conversion goal: {{primary_conversion_action}}
  • Target geographic territories: {{target_metro_markets}}
  • Financial regulatory authority: {{regulatory_jurisdiction}}
  • Allocated quarterly search budget: {{quarterly_search_budget}}

Task

Author a comprehensive paid search campaign architecture specification for {{institution_name}} that captures high-intent prospects seeking private wealth advisory services exceeding {{wealth_tier_threshold}} while ensuring complete compliance under {{regulatory_jurisdiction}}.

Method

  1. Analyze the wealth threshold {{wealth_tier_threshold}} to identify ultra-high intent search themes including estate planning, tax optimization, and fiduciary asset management.
  2. Construct an exact account structure detailing campaign hierarchy, ad group segmentations, and single-intent keyword buckets across {{target_metro_markets}}.
  3. Develop a rigorous negative keyword matrix to proactively block non-qualified traffic such as retail trading apps, basic financial literacy queries, and job seekers.
  4. Design responsive search ad (RSA) copy frameworks incorporating mandatory risk disclaimers, fiduciary value propositions, and fee transparency cues.
  5. Map audience targeting layers including custom intent segments, customer match lists, and demographic bid modifiers aligned with {{quarterly_search_budget}}.
  6. Specify landing page qualification workflows that filter inbound leads before triggering {{primary_conversion_action}}.
  7. Detail conversion tracking infrastructure, conversion value rules, and automated bid strategy guardrails.

Constraints

  • MUST cite specific disclosure requirements mandated by {{regulatory_jurisdiction}} in ad copy and landing page routing.
  • MUST NOT use speculative return claims, absolute performance guarantees, or unsubstantiated awards in copy guidelines.
  • All ad copy specimens must include explicit qualification cues for {{wealth_tier_threshold}}.
  • Budget pacing rules must prevent budget exhaustion across broad queries.

Output format

1. Campaign Taxonomy & Budget Allocation Table

  • Structured breakdown across brand, intent, competitor, and service-line campaigns with budget splits.

2. Keyword & Negative Matrix Specification

  • Core keyword clusters with match types and 3 tiers of negative keyword lists.

3. RSA Creative & Compliance Framework

  • Minimum 3 ad group copy templates (15 headlines, 4 descriptions each) with dynamic insertion rules.

4. Technical Tracking & Lead Routing Spec

  • Event taxonomy, URL parameter structure, and qualification gate rules for {{primary_conversion_action}}.

Self-review

  • Ensure all ad copy guidelines strictly adhere to {{regulatory_jurisdiction}} advertising rules.
  • Verify that negative lists prevent leakage from retail-level or low-balance searchers.
  • Check that total campaign budget percentages equal exactly 100% of {{quarterly_search_budget}}.
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.

marketing
marketing-ads
financial-services
paid-search
wealth-management
ppc-spec