B2B Paid Media Plan Generator with ROI Targets
Advertising & Paid MediaadvancedClaude 3.5 Sonnet or GPT-4o. Claude excels at structured, multi-section frameworks and is better at connecting operational efficiency to ROI. GPT-4o is stronger with real-time data integration if you're pulling live benchmarks. For this prompt, Claude's reasoning depth on budget allocation trade-offs and ROI logic is the edge.
When to Use This Prompt
Use this prompt when you need to build a complete B2B paid media strategy that ties directly to revenue targets and can be presented to finance or the C-suite. It's especially valuable when you need to justify budget allocation, identify where AI can reduce operational friction, and create a measurement framework that proves ROI rather than just vanity metrics.
The Prompt
You are a B2B paid media strategist. Create a comprehensive paid media plan for a [COMPANY/PRODUCT] targeting [TARGET AUDIENCE] with a budget of $[MONTHLY_BUDGET] over [TIMEFRAME: 3/6/12 months].
## Business Context
- Primary revenue goal: [SPECIFIC_REVENUE_TARGET or PIPELINE_GOAL]
- Current customer acquisition cost (CAC): $[AMOUNT] or unknown
- Average deal size: $[AMOUNT]
- Sales cycle length: [TIMEFRAME]
- Key competitor set: [LIST 2-3 COMPETITORS]
- Current market position: [MARKET_POSITION_DESCRIPTION]
## Channel Strategy
Recommend a channel mix across: LinkedIn Ads, Google Search, Retargeting, Account-Based Marketing (ABM) platforms, and [OTHER_RELEVANT_CHANNELS]. For each channel, specify:
- Recommended budget allocation (% of total)
- Target audience segment and job titles
- Primary campaign objective (awareness, consideration, conversion)
- Expected CPL/CPC/CAC benchmarks
## Campaign Framework
For each major campaign, provide:
1. Campaign name and objective
2. Target audience (firmographics, job titles, behaviors)
3. Ad creative direction (2-3 specific messaging angles)
4. Landing page/offer strategy
5. Bid strategy and budget allocation
6. Expected performance metrics (CTR, conversion rate, CAC)
## Measurement & ROI
- Define 3-5 key performance indicators tied directly to revenue
- Create a monthly tracking dashboard structure
- Specify attribution model (first-touch, multi-touch, last-click)
- Set breakeven CAC threshold
- Outline optimization triggers (when to pause, scale, or pivot)
## Operational Efficiency
- Identify which tasks can be automated (bid management, reporting, audience building)
- Recommend AI tools to reduce coordination overhead
- Suggest weekly/monthly review cadence
- Flag potential bottlenecks in approval or creative workflows
## 90-Day Quick Win
Identify one high-friction workflow in paid media execution where AI can prove immediate ROI within 90 days. Specify the current time cost, the AI solution, and expected time savings.
Format the plan as an actionable, month-by-month roadmap with clear success metrics and decision gates.
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Tips for Best Results
- 1.Provide actual historical performance data (CAC, conversion rates, deal size) if available. AI will use benchmarks if not, but real data produces more accurate budget allocation and realistic targets.
- 2.Specify your sales cycle length and average deal size upfront. These directly impact which channels and campaign objectives make sense—a 6-month cycle requires different nurture than a 4-week cycle.
- 3.Ask the AI to flag operational bottlenecks explicitly. Request it identify which manual tasks (creative approval, bid adjustments, reporting) are slowing execution and where AI can reduce friction without adding tools.
- 4.Use the 90-day quick win section to test AI's ROI logic. If the AI can't tie a workflow improvement to measurable revenue impact, ask it to recalculate. This forces rigor and prevents 'faster but not better' optimizations.
Example Output
# B2B Paid Media Plan: SaaS Sales Enablement Platform
## 3-Month Budget: $75,000
### Channel Allocation
- **LinkedIn Ads**: 40% ($30,000) — Primary channel for VP/Director-level buyers
- **Google Search**: 35% ($26,250) — High-intent keywords, bottom-of-funnel
- **Account-Based Marketing**: 15% ($11,250) — Retargeting to target accounts
- **Retargeting**: 10% ($7,500) — Website visitors and LinkedIn engagers
### Campaign 1: "Buyer Enablement" (LinkedIn Sponsored Content)
- **Objective**: Awareness + Lead generation
- **Target Audience**: Sales VPs, Sales Directors, Revenue Operations Managers at companies with 100-5,000 employees
- **Budget**: $12,000/month
- **Creative Angles**: (1) "How top sales teams reduced ramp time by 40%"; (2) "The hidden cost of manual sales processes"; (3) "Why your competitors are outpacing you"
- **Expected Metrics**: 3-5% CTR, 8-12% conversion rate, $45-55 CAC
- **Landing Page**: Product demo + ROI calculator
### Campaign 2: "Intent-Based Search" (Google Search)
- **Objective**: Conversion
- **Target Keywords**: "sales enablement software," "sales training platform," "sales content management"
- **Budget**: $8,750/month
- **Bid Strategy**: Target CPA of $60
- **Expected Metrics**: 4-6% conversion rate, $50-65 CAC
### ROI Framework
- **Primary KPI**: Cost per qualified lead (target: $50)
- **Secondary KPIs**: Conversion rate to demo (target: 15%), Demo-to-meeting rate (target: 40%)
- **Monthly Dashboard**: Spend, leads, cost per lead, pipeline created, revenue influenced
- **Attribution Model**: Multi-touch (40% first, 40% last, 20% middle)
- **Breakeven CAC**: $120 (based on $3,000 average deal size and 3-month sales cycle)
### 90-Day Quick Win: AI-Powered Audience Building
- **Current Process**: Manual LinkedIn audience creation, 4 hours/week of research and testing
- **AI Solution**: Use Claude to analyze customer data and generate 15 micro-segment definitions; automate audience expansion rules in LinkedIn Ads Manager
- **Time Saved**: 3 hours/week = 12 hours/month
- **ROI**: Faster audience optimization = 15% faster lead volume in weeks 6-12
### Monthly Optimization Gates
- **Week 2**: Review CTR and CPC; pause underperformers
- **Week 3**: Analyze conversion rates; test new creative angles
- **Week 4**: Full performance review; adjust budget allocation for next month
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