Marketing & Advertising Ontology

Comprehensive domain knowledge for marketing agencies and advertising professionals.

Overview

The Marketing ontology provides AI agents with deep understanding of:

• Campaign planning and execution
• Content creation and distribution
• Lead generation and nurturing
• Marketing analytics and attribution
• Brand management and strategy

Key Entities

Entity	Description	Attributes
Campaign	Marketing initiative	Name, Type, Budget, Status, KPIs
Lead	Prospect	Source, Score, Stage, Status
Content	Marketing asset	Type, Channel, Performance, Date
Audience	Target segment	Demographics, Interests, Size
Metric	Performance KPI	Type, Value, Target, Trend

Common Workflows

Campaign Launch

graph LR
    A[Strategy] --> B[Creative Dev]
    B --> C[Approval]
    C --> D{Approved?}
    D -->|Yes| E[Launch]
    D -->|No| F[Revise]
    E --> G[Monitor]
    G --> H[Optimize]

Lead Nurturing

• Lead scoring and qualification
• Automated email sequences
• Content personalization
• Sales handoff coordination
• Conversion tracking

Regulatory Compliance

Regulation	Scope	Key Requirements
CAN-SPAM	Email marketing	Unsubscribe, identification
GDPR	Data collection (EU)	Consent, privacy notices
CCPA	Data collection (CA)	Opt-out rights, disclosures
FTC	Advertising	Truth in advertising, disclosures

Prompt Templates

Campaign Brief

Develop campaign brief for {product_name}:
- Target: {audience_description}
- Objective: {campaign_goal}
- Budget: {budget_amount}
- Timeline: {campaign_duration}

Create strategy including channels, messaging, creative
requirements, and success metrics.

Performance Analysis

Analyze campaign performance:
- Campaign: {campaign_name}
- Metrics: {performance_data}
- Spend: {budget_spent}
- Results: {conversions_achieved}

Identify top performers, optimization opportunities,
and recommendations for improvement.

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This ontology is continuously updated based on digital marketing trends and platform changes.