Programmatic Advertising Strategy Framework
Advertising & Paid MediaadvancedClaude 3.5 Sonnet or GPT-4o. Claude excels at structured strategic frameworks and handles complex multi-section prompts with excellent organization. GPT-4o provides strong tactical recommendations and is slightly faster for large outputs. Both handle programmatic terminology accurately.
When to Use This Prompt
Use this prompt when developing a comprehensive programmatic advertising strategy for a new initiative, planning a major budget increase, or restructuring your programmatic approach. It's ideal for CMOs and advertising leaders who need a strategic framework before vendor selection or implementation planning.
The Prompt
You are an expert programmatic advertising strategist. Help me develop a comprehensive programmatic advertising strategy for [COMPANY/BRAND].
## Business Context
- Industry: [INDUSTRY]
- Target Audience: [PRIMARY AUDIENCE DESCRIPTION]
- Current Annual Ad Spend: [BUDGET AMOUNT]
- Primary Marketing Goals: [LIST 2-3 GOALS: e.g., lead generation, brand awareness, customer acquisition]
- Current Programmatic Maturity Level: [beginner/intermediate/advanced]
## Current State Assessment
- Existing DSPs/Platforms: [LIST CURRENT PLATFORMS]
- Current KPIs Tracked: [LIST METRICS]
- Main Performance Challenges: [DESCRIBE 2-3 CHALLENGES]
- Competitive Landscape: [BRIEF DESCRIPTION]
## Strategic Requirements
Develop a detailed programmatic strategy that includes:
1. **Audience Segmentation & Targeting**
- Define 4-5 distinct audience segments with specific characteristics
- Recommend first-party data collection methods
- Suggest contextual and behavioral targeting approaches
- Address privacy compliance (GDPR, CCPA, etc.)
2. **Channel & Inventory Strategy**
- Recommend optimal mix of display, video, native, and audio
- Identify premium vs. open marketplace opportunities
- Suggest private marketplace (PMP) deals
- Recommend specific inventory types by audience segment
3. **Technology Stack Recommendations**
- Recommend 2-3 DSPs with rationale
- Suggest data management platform (DMP) or CDP integration
- Recommend attribution and measurement tools
- Identify creative management solutions
4. **Budget Allocation Framework**
- Provide percentage allocation across channels
- Recommend budget distribution by audience segment
- Suggest testing budget allocation (% for experimentation)
- Timeline for budget deployment
5. **Creative Strategy**
- Recommend creative formats by channel and audience
- Suggest dynamic creative optimization approaches
- Recommend A/B testing framework
- Provide creative refresh frequency guidelines
6. **Performance Metrics & KPIs**
- Define primary and secondary KPIs
- Recommend benchmarks by channel
- Suggest attribution model
- Create reporting dashboard structure
7. **Implementation Roadmap**
- 90-day launch plan with milestones
- Resource requirements
- Risk mitigation strategies
- Success criteria for each phase
8. **Optimization & Scaling Plan**
- Monthly optimization priorities
- Quarterly review framework
- Scaling triggers and thresholds
- Continuous improvement processes
Provide specific, actionable recommendations tailored to [COMPANY/BRAND]'s situation. Include rationale for each recommendation.
Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.
Tips for Best Results
- 1.Replace all [BRACKETS] with specific, detailed information about your company. Vague inputs produce generic strategies—be as specific as possible about your industry, audience, and current challenges.
- 2.If you're unsure about current maturity level, run a separate audit prompt first to assess your programmatic capabilities before requesting full strategy development.
- 3.Use this output as a strategic foundation, then create follow-up prompts for detailed implementation plans, vendor evaluation matrices, or creative briefs for specific audience segments.
- 4.Request the AI to prioritize recommendations by impact and ease of implementation if you have resource constraints. Ask for a phased approach if you can't execute everything simultaneously.
Example Output
## Programmatic Advertising Strategy for TechFlow Solutions
### 1. Audience Segmentation & Targeting
**Segment 1: Enterprise Decision-Makers** (35% of budget)
- C-suite and VP-level professionals in tech/finance
- Target: LinkedIn, premium publisher sites, industry publications
- First-party data: CRM integration, website behavioral tracking
- Contextual: B2B tech news, industry reports
**Segment 2: Mid-Market Evaluators** (30% of budget)
- Manager-level professionals evaluating solutions
- Target: Programmatic display, YouTube, tech blogs
- First-party data: Email engagement, content downloads
- Behavioral: Solution research, competitor site visits
**Segment 3: Awareness & Education** (25% of budget)
- Broader tech-interested professionals
- Target: Display networks, podcasts, video content
- Contextual: Tech trends, digital transformation content
**Segment 4: Remarketing & Conversion** (10% of budget)
- Website visitors and engaged prospects
- Target: Cross-site retargeting, email list matching
- Dynamic creative: Product-specific messaging
### 2. Channel & Inventory Strategy
**Recommended Mix:**
- Programmatic Display: 40% (brand awareness, reach)
- Video (YouTube, CTV): 35% (engagement, consideration)
- Native Advertising: 15% (premium placements, thought leadership)
- Audio/Podcast: 10% (emerging channel, executive commute)
**Premium Opportunities:**
- PMP deals with TechCrunch, VentureBeat, Forbes
- LinkedIn Sponsored Content for enterprise segment
- YouTube pre-roll on business/tech channels
### 3. Technology Stack
**DSP Recommendation:** Google DV360 (primary) + The Trade Desk (secondary)
- Rationale: DV360 for YouTube/GCP integration; Trade Desk for open marketplace depth
**CDP:** Segment or mParticle for first-party data activation
**Attribution:** Multi-touch attribution via Marketo or HubSpot
**Creative Management:** Flashtalking for dynamic creative optimization
### 4. Budget Allocation
**By Channel:** Display 40% | Video 35% | Native 15% | Audio 10%
**By Segment:** Enterprise 35% | Mid-Market 30% | Awareness 25% | Remarketing 10%
**Testing Budget:** 15% for new audiences, formats, and channels
**Deployment:** 30% Month 1, 50% Month 2, 100% Month 3
### 5. Performance Metrics
**Primary KPIs:**
- Cost Per Lead: $45-65 (enterprise), $25-35 (mid-market)
- Conversion Rate: 2.5-3.5% (display), 4-5% (video)
- ROAS: 3:1 minimum
- Brand Lift: 15% increase in aided awareness
**Attribution Model:** 40-20-40 (first-touch, linear, last-touch)
### 6. Implementation Timeline
**Month 1:** Platform setup, audience configuration, creative development
**Month 2:** Campaign launch, initial optimization, reporting setup
**Month 3:** Full-scale deployment, audience expansion, performance review
Related Prompts
Related Reading
Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.