LinkedIn Ads Strategy Planner
Advertising & Paid MediaintermediateClaude 3.5 Sonnet or GPT-4o. Claude excels at strategic frameworks and detailed audience analysis, while GPT-4o provides faster processing for complex multi-section outputs. Both handle LinkedIn-specific terminology and platform nuances well.
When to Use This Prompt
Use this prompt when planning a new LinkedIn advertising campaign or restructuring an existing one. It's ideal for B2B marketers, SaaS companies, and enterprise sales teams who need a strategic framework before launching ads or when seeking to improve campaign performance and ROI.
The Prompt
You are a LinkedIn advertising strategist. I need a comprehensive LinkedIn Ads strategy for [COMPANY/PRODUCT] targeting [TARGET_AUDIENCE].
## Campaign Objectives
My primary goal is [GOAL: lead generation/brand awareness/website traffic/engagement/account-based marketing]. Secondary objectives include [SECONDARY_GOALS].
## Target Audience Details
- Job titles: [JOB_TITLES]
- Industries: [INDUSTRIES]
- Company size: [COMPANY_SIZE]
- Seniority level: [SENIORITY]
- Geographic locations: [LOCATIONS]
- Additional targeting: [INTERESTS/SKILLS/GROUPS]
## Current Situation
- Monthly LinkedIn ad budget: $[BUDGET]
- Current LinkedIn follower count: [FOLLOWER_COUNT]
- Previous LinkedIn campaign performance: [PAST_PERFORMANCE or "No prior campaigns"]
- Key competitors: [COMPETITORS]
- Unique value proposition: [UVP]
## Content & Messaging
- Core message: [PRIMARY_MESSAGE]
- Key benefits to highlight: [BENEFITS]
- Tone: [TONE: professional/conversational/thought leadership/educational]
- Content types available: [CONTENT_TYPES: articles/case studies/videos/infographics/whitepapers]
## Deliverables Needed
Provide a detailed LinkedIn Ads strategy including:
1. Campaign structure (campaign types, ad formats, and audience segmentation)
2. Recommended bidding strategy and budget allocation across campaigns
3. Ad copy templates for [NUMBER] different audience segments
4. Creative recommendations and content themes
5. Key performance indicators (KPIs) and success metrics
6. Timeline and launch recommendations
7. A/B testing plan for optimization
8. Audience expansion strategy for scaling
Make recommendations specific to LinkedIn's platform capabilities and best practices. Include realistic performance benchmarks for [INDUSTRY].
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Tips for Best Results
- 1.Include specific job titles and seniority levels rather than generic roles—LinkedIn's targeting precision rewards specificity. Use LinkedIn's own job title taxonomy for better matching.
- 2.Provide your actual monthly budget and past campaign data if available. AI can tailor recommendations to your financial constraints and build on what's already working.
- 3.Specify your content assets upfront (videos, case studies, whitepapers). This helps the AI recommend formats that match what you can actually produce and test.
- 4.Ask for A/B testing recommendations specific to your audience—LinkedIn performs differently for C-suite vs. managers. Request platform-specific tactics like Document Ads or Conversation Ads if relevant.
Example Output
## LinkedIn Ads Strategy for TechFlow Solutions
### Campaign Structure
**Campaign 1: Lead Generation (40% budget)**
- Audience: VP/Director of Operations at mid-market manufacturing companies
- Format: Lead Gen Forms + Sponsored Content
- Message: "Reduce operational costs by 30% with AI-powered workflows"
**Campaign 2: Thought Leadership (30% budget)**
- Audience: C-suite executives in logistics/supply chain
- Format: Document Ads + Video
- Message: Industry insights and trend reports
**Campaign 3: Retargeting (30% budget)**
- Audience: Website visitors + LinkedIn page engagers
- Format: Sponsored InMail + Text Ads
- Message: Case studies and customer success stories
### Budget Allocation
- Monthly budget: $5,000
- Lead Gen: $2,000 (target: 40-50 qualified leads)
- Thought Leadership: $1,500 (target: 15K+ impressions)
- Retargeting: $1,500 (target: 8-10% conversion rate)
### Ad Copy Template (Lead Gen)
"Operations leaders at Fortune 500 companies save 20+ hours weekly using TechFlow. See how [Company Name] reduced manual processes by 60%. Download our case study."
### KPIs & Benchmarks
- Lead Gen: $100-120 cost per lead (industry avg: $95-150)
- CTR: 2.5-3.5% (industry avg: 1.5-2%)
- Conversion rate: 8-12% (industry avg: 5-8%)
- ROAS: 3:1 minimum target
### A/B Testing Plan
- Test 1: Audience segmentation (job title vs. industry)
- Test 2: Ad format (Lead Gen Forms vs. Website Clicks)
- Test 3: Copy tone (benefit-driven vs. problem-focused)
- Test 4: CTA buttons ("Learn More" vs. "Download Now")
### Launch Timeline
- Week 1: Campaign setup and audience validation
- Week 2: Creative approval and lead form configuration
- Week 3: Soft launch with 20% budget
- Week 4: Scale to full budget based on initial performance
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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.