A Structured Prompt For LangChain Workflows That Analyzes Digital Advertising Markets. It Ranks The Top 20 Industry Verticals By Ad Spend, Identifies Fast Growing Sub Niches, And Computes Metrics Like CPM, CPC, And CAC. It Integrates Validation Protocols, Multi Source Analysis, And JSON Formatted Outputs For Insights And Action Plans. Designed For Developers Using Python Or JavaScript To Enhance Market Research And Analytics Workflows.

# Analysis Framework Implementation v1.0.4
SYSTEM_CONFIG:
  VERSION: 1.0.4
  MIN_SCORE_THRESHOLD: 9
  CONFIDENCE_INTERVAL: 95%
  P_VALUE_THRESHOLD: 0.05
  RESPONSE_FORMAT: json
VALIDATION_PROTOCOLS:
  SOURCE_VERIFICATION:
    REQUIRED_SOURCES: 3
    CREDIBILITY_THRESHOLD: 8.5  # 85% on a 0-10 scale
    RECENCY_REQUIREMENT: "<=24 months"
    CROSS_REFERENCE: TRUE
    PRIORITIZATION_CONFLICT: "Prioritize based on source reliability, recency, and consistency with peer data"
  STATISTICAL_VALIDATION:
    SAMPLE_SIZE_MIN: "context_dependent"
    CONFIDENCE_INTERVAL: 95%
    MARGIN_ERROR_MAX: 0.5  # 5%
    OUTLIER_THRESHOLD: 2.5SD
    DATA_DISCREPANCY_NOTATION: "Flag significant discrepancies and justify prioritization choices"
  MARKET_ANALYSIS:
    GEOGRAPHIC_COVERAGE: ["US", "Global"]
    MARKET_SEGMENTATION: REQUIRED
    VARIANCE_THRESHOLD: 1.5  # 15%
    GROWTH_RATES: REQUIRE year-over-year and trend analysis on digital and traditional channels
    PLATFORM_IMPACT: Highlight emerging platform trends (Google Ads, Meta, TikTok) and regulatory effects
SCORING_MATRIX:
  CONFIDENCE:
    WEIGHTS:
      SOURCE_RELIABILITY: 0.40
      STATISTICAL_VALIDITY: 0.35
      METHODOLOGY_ROBUSTNESS: 0.25
    THRESHOLDS:
      EXCEPTIONAL: 10
      TARGET: 8.5
      MINIMUM: 7.5

  ACTIONABILITY:
    WEIGHTS:
      IMPLEMENTATION_CLARITY: 0.35
      RESOURCE_DEFINITION: 0.35
      ROI_QUANTIFICATION: 0.30
    THRESHOLDS:
      EXCEPTIONAL: 10
      TARGET: 7.5
      MINIMUM: 7

  ACCURACY:
    WEIGHTS:
      DATA_COMPLETENESS: 0.40
      VALIDATION_SUCCESS: 0.35
      ERROR_MARGIN: 0.25
    THRESHOLDS:
      EXCEPTIONAL: 10
      TARGET: 9
      MINIMUM: 8.5
OUTPUT_TEMPLATE:
  METADATA:
    ID: "UUID"
    TIMESTAMP: "ISO8601"
    VERSION: "SEMVER"
    ANALYSIS_TYPE: "MARKET_RANKING"
  SCORES:
    CONFIDENCE:
      VALUE: [7-10]
      COMPONENTS:
        SOURCE_RELIABILITY: ⟨SCORE⟩
        STATISTICAL_VALIDITY: ⟨SCORE⟩
        METHODOLOGY_ROBUSTNESS: ⟨SCORE⟩
      VALIDATION:
        CONFIDENCE_INTERVAL: ⟨PERCENTAGE⟩
        P_VALUE: ⟨FLOAT⟩
        SAMPLE_SIZE: ⟨INTEGER⟩
    ACTIONABILITY:
      VALUE: [7-10]
      COMPONENTS:
        IMPLEMENTATION_CLARITY: ⟨SCORE⟩
        RESOURCE_DEFINITION: ⟨SCORE⟩
        ROI_QUANTIFICATION: ⟨SCORE⟩
      METRICS:
        TIMELINE_FEASIBILITY: ⟨PERCENTAGE⟩
        RESOURCE_AVAILABILITY: ⟨PERCENTAGE⟩
        EXPECTED_ROI: ⟨PERCENTAGE⟩
    ACCURACY:
      VALUE: [7-10]
      COMPONENTS:
        DATA_COMPLETENESS: ⟨SCORE⟩
        VALIDATION_SUCCESS: ⟨SCORE⟩
        ERROR_MARGIN: ⟨PERCENTAGE⟩
      VERIFICATION:
        CROSS_REFERENCE: ⟨SCORE⟩
        BIAS_ASSESSMENT: ⟨SCORE⟩
        REGIONAL_VARIANCE: ⟨PERCENTAGE⟩
  INSIGHTS:
    PRIMARY:
      - VERTICAL: ⟨STRING⟩
        FINDINGS:
          - TOP_SUB_NICHES: ⟨ARRAY⟩
          - CPM_CPC_CAC_METRICS: ⟨DICTIONARY⟩
          - ROAS_INDICATOR: [TRUE/FALSE]
          - PLATFORM_TRENDS: ⟨ARRAY⟩
          - GROWTH_RATES: ⟨PERCENTAGE⟩
        CONFIDENCE: ⟨PERCENTAGE⟩
        VALIDATION: ⟨METRICS⟩
    SECONDARY:
      - FINDING: ⟨STRING⟩
        CONTEXT: ⟨STRING⟩
        IMPACT: ⟨SCORE⟩
  IMPLEMENTATION_PLAN:
    PHASE_1:
      TIMELINE: ⟨DURATION⟩
      RESOURCES: ⟨ARRAY⟩
      DEPENDENCIES: ⟨ARRAY⟩
      SUCCESS_METRICS: ⟨ARRAY⟩
    PHASE_2:
      TIMELINE: ⟨DURATION⟩
      RESOURCES: ⟨ARRAY⟩
      DEPENDENCIES: ⟨ARRAY⟩
      SUCCESS_METRICS: ⟨ARRAY⟩
  RISK_ASSESSMENT:
    HIGH_RISK:
      - DESCRIPTION: ⟨STRING⟩
        PROBABILITY: ⟨PERCENTAGE⟩
        IMPACT: [1-10]
        MITIGATION: ⟨STRING⟩
    MEDIUM_RISK:
      - DESCRIPTION: ⟨STRING⟩
        PROBABILITY: ⟨PERCENTAGE⟩
        IMPACT: [1-10]
        MITIGATION: ⟨STRING⟩
    LOW_RISK:
      - DESCRIPTION: ⟨STRING⟩
        PROBABILITY: ⟨PERCENTAGE⟩
        IMPACT: [1-10]
        MITIGATION: ⟨STRING⟩
  VALIDATION_SUMMARY:
    DATA_QUALITY: ⟨SCORE⟩
    IMPLEMENTATION_READINESS: ⟨SCORE⟩
    RISK_MANAGEMENT: ⟨SCORE⟩
    OVERALL_CONFIDENCE: ⟨SCORE⟩
SEARCH_QUERIES:
  REQUIRED:
    - "What are the top 10 most popular search queries for the last week?"
    - "What is the total ad spend for the digital advertising industry in the US?"
    - "What is the total ad spend by vertical and sub-niche?"
    - "What are the fastest-growing advertising sub-niches?"
  ADDITIONAL:
    - "Current CPM rates by industry"
    - "Year-over-year ad spend growth rates"
    - "Top-performing digital ad platforms in 2024"
    - "Impact of recent regulations on advertising verticals"
ERROR_HANDLING:
  CRITICAL_FAILURES:
    - INSUFFICIENT_DATA
    - VALIDATION_ERROR
    - STATISTICAL_SIGNIFICANCE_FAILURE

  RECOVERY_STEPS:
    1: LOG_ERROR
    2: IDENTIFY_CAUSE
    3: IMPLEMENT_CORRECTION
    4: VALIDATE_CORRECTION

Analyze the digital advertising market. Specifically:
  - Create a ranking of the top 20 industry verticals by total advertising spend (including both digital and traditional channels)
  - For each vertical:
    - Identify the fastest-growing sub-niches
    - Include key metrics: CPM, CPC, and CAC
    - Note if it has particularly high ROAS
  - Use data from:
    - Research firms: [Generate a list of firms to use for research like eMarketer, IAB, GroupM, Magna Global, Google Scholar, etc.]
    - Platform data: [Generate a list of platforms like Google Ads, Meta, TikTok, etc.]
    - Areas of Conflicting Data: [If you find conflicts between sources, explain the discrepancy and your reasoning for which data to prioritize]
  - Include these market dynamics:
    - Year-over-year growth rates and trends
    - Which advertising platforms are gaining traction
    - Impact of regulations on specific verticals
    - How audience targeting strategies are changing
  - Generate specific search queries to validate your findings. Include queries like:
    - "What are the top 10 most popular search queries for the last week?"
    - "What is the total ad spend for the digital advertising industry in the US?"
    - "What is the total ad spend for the digital advertising industry in the US by vertical by sub-niche?"
    - "What are the fastest-growing sub-niches within the digital advertising industry in the US?"
    - "What are the top 10 most searched for hobbies for the last week?"
    - [Generate similar queries relevant to your analysis]
You will generate a maximum of 10 queries using the output format below:
OUTPUT:
  REQUIREMENTS:
    - INCLUDE_ITERATION_SCORES: TRUE
    - VERIFY_READINESS: TRUE
    - VERIFY_INSIGHTS: TRUE
    - VERIFY_SEARCH_ENGINE_QUERIES: TRUE
  INDUSTRY_VERTICALS:
    DESCRIPTION: "Ranking of the top 20 industry verticals by total advertising spend (including both digital and traditional channels)"
    VERTICALS: [List of Industry Verticals]
  SUB_NICHE_GROWTH:
    DESCRIPTION: "Fastest-growing sub-niches within the digital advertising industry in the US"
    SUB_NICHE: [List of Sub-Niches]
  ITERATION_SCORES:
    DESCRIPTION: "Iteration scores to increase the accuracy of the assistant's insights."
    SCORE: [Iteration Score]
  DATA_FROM:
    DESCRIPTION: "Data sources to increase the accuracy of the assistant's insights."
    RESEARCH_FIRMS: [List of Research Firms]
    PLATFORMS: [List of Platforms]
    AREAS_OF_CONFLICTING_DATA: [List of Areas of Conflicting Data]
  SEARCH_ENGINE_QUERIES:
    DESCRIPTION: "Search engine queries to required to increase the accuracy of the assistant's insights."
    QUERIES:
      - "QUERY_1":[1st Generated Query]
      - "QUERY_2":[2nd Generated Query]
      - "QUERY_3":[3rd Generated Query]
      - "QUERY_4":[4th Generated Query]
      - "QUERY_5":[5th Generated Query]
      - [Generate any query necessary to a maximum of 10 queries]

Complete your analysis and generate your insights. Next, you must generate all necessary content for the OUTPUT section. You must reply in JSON format.