Multi-Channel Ad Plan Generator
Advertising & Paid MediaadvancedClaude 3.5 Sonnet or GPT-4o. Both excel at structured planning and multi-variable optimization. Claude handles complex frameworks with clearer reasoning; GPT-4o produces more polished marketing copy. For budget allocation and competitive analysis, either model works equally well.
When to Use This Prompt
Use this prompt when planning a new integrated advertising campaign across multiple channels or reallocating budget for an existing campaign. It's ideal for CMOs and marketing leaders who need a structured, data-driven plan that justifies channel selection and budget allocation to stakeholders.
The Prompt
You are an expert media strategist and advertising planner. Create a comprehensive multi-channel advertising plan based on the following business context.
## Business Context
- Product/Service: [DESCRIBE YOUR OFFERING]
- Target Audience: [PRIMARY DEMOGRAPHIC, PSYCHOGRAPHIC, AND BEHAVIORAL TRAITS]
- Campaign Goal: [SPECIFIC OBJECTIVE: AWARENESS, LEADS, SALES, RETENTION, ETC.]
- Budget: $[TOTAL MONTHLY BUDGET]
- Campaign Duration: [START DATE] to [END DATE]
- Key Performance Indicators: [LIST 3-5 PRIMARY METRICS]
- Current Market Position: [DESCRIBE COMPETITIVE LANDSCAPE AND YOUR POSITIONING]
## Required Deliverables
### 1. Channel Recommendation & Budget Allocation
For each recommended channel, provide:
- Channel name and rationale for inclusion
- Recommended budget allocation (percentage and dollar amount)
- Expected reach and frequency metrics
- Typical CPM/CPC/CPA benchmarks for this industry
### 2. Channel-Specific Strategies
For each channel, detail:
- Ad format recommendations (creative types, dimensions, specifications)
- Messaging approach and key value propositions
- Audience targeting parameters and lookalike strategies
- Bid strategy and optimization approach
- Content calendar (frequency and timing)
### 3. Creative Direction
- Overarching creative theme that ties channels together
- Headline and copy variations for A/B testing (minimum 3 variations per channel)
- Visual style guidelines and tone of voice
- Call-to-action recommendations by channel
### 4. Measurement & Optimization Framework
- Attribution model recommendation
- Weekly/monthly reporting metrics by channel
- Optimization triggers (when to pause, scale, or pivot)
- Testing roadmap for first 30/60/90 days
### 5. Risk Mitigation & Contingency
- Potential challenges and mitigation strategies
- Budget reallocation triggers
- Backup channels if primary channels underperform
Provide specific, actionable recommendations with industry benchmarks and data-driven reasoning. Format as an executive-ready document with clear sections and bullet points.
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Tips for Best Results
- 1.Provide specific audience size and behavior data. The more detailed your target audience description, the more precise the channel recommendations and budget allocation will be.
- 2.Include your actual monthly budget and campaign duration. Vague budgets produce vague plans; specific numbers enable realistic CPM/CPC calculations and channel viability assessments.
- 3.Specify your primary KPIs upfront. Different goals (awareness vs. conversion) dramatically change channel mix; leading with metrics ensures the plan optimizes for what matters most.
- 4.Ask for industry benchmarks in the prompt. Request the AI cite typical CPM/CPC/CPA ranges for your industry and audience type to validate recommendations against real-world performance data.
Example Output
# Multi-Channel Advertising Plan: [Product Name]
## Channel Recommendation & Budget Allocation
**Google Search Ads (40% / $4,000)**
- Rationale: High intent, bottom-funnel traffic with proven ROI for conversion-focused campaigns
- Expected Reach: 15,000-25,000 monthly impressions
- Industry Benchmark: $2.50-4.00 CPC for B2B SaaS
- Optimization: Bid on branded + high-intent keywords; exclude low-quality traffic
**LinkedIn Ads (25% / $2,500)**
- Rationale: B2B audience targeting, professional decision-makers, strong engagement for thought leadership
- Expected Reach: 8,000-12,000 impressions, 2-4% CTR
- Industry Benchmark: $5-8 CPC, $40-60 CPL
- Optimization: Lookalike audiences from existing customer database; account-based targeting
**Meta Ads (20% / $2,000)**
- Rationale: Brand awareness and retargeting; cost-effective reach for broad awareness phase
- Expected Reach: 50,000-80,000 impressions
- Industry Benchmark: $0.50-1.50 CPC
- Optimization: Carousel ads for product showcase; dynamic retargeting for website visitors
**Email Nurture (10% / $1,000)**
- Rationale: Highest ROI channel for existing audience; drives repeat engagement
- Expected Reach: 100% of opted-in list
- Industry Benchmark: 20-30% open rate, 2-5% CTR
- Optimization: Segmented campaigns by user behavior; automated drip sequences
**YouTube Pre-Roll (5% / $500)**
- Rationale: Brand storytelling and awareness among target demographic
- Expected Reach: 30,000-50,000 views
- Industry Benchmark: $0.25-0.75 CPV
- Optimization: 15-second skippable ads; retarget engaged viewers
## Creative Direction
**Overarching Theme:** "Simplify [Industry Problem] with [Product Name]"
**Headline Variations:**
1. "Stop Wasting Time on Manual [Task]. Automate with [Product]."
2. "[Product]: The [Industry] Solution That Saves 10+ Hours Weekly"
3. "Join 5,000+ Teams Using [Product] to Streamline [Process]"
**Visual Style:** Clean, modern design with customer testimonials and product screenshots; consistent brand colors across all channels
## Measurement Framework
- **Primary Metrics:** Conversion rate, cost per acquisition, return on ad spend
- **Secondary Metrics:** Click-through rate, engagement rate, brand lift
- **Reporting Cadence:** Weekly performance dashboard; monthly strategic review
- **Optimization Triggers:** Pause channels with ROAS below 2:1; scale top performers by 25% weekly
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Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.