/ads:plan

Generate a comprehensive paid advertising campaign plan with industry-specific templates, platform recommendations, budget allocation, and timeline.

Quick Start

Copy/agileflow:ads:plan                                     # Interactive planning (recommended)
/agileflow:ads:plan INDUSTRY=saas BUDGET=5000           # Direct with parameters
/agileflow:ads:plan INDUSTRY=ecommerce GOAL=roas        # E-commerce with ROAS goal

How It Works

1. Discover your business - Interactive questions about industry, goal, budget
2. Select platforms - Recommendations based on industry and budget
3. Generate campaign plan - Industry-specific structure with allocation
4. Create timeline - Week-by-week launch schedule
5. Define KPIs - Metrics to track and targets to hit
6. Set scaling rules - How to grow budget without wasting spend

Step 1: Interactive Discovery

If you don't provide parameters, the plan will ask:

Industry: SaaS, E-commerce, Local Services, B2B, Healthcare, Education, Finance, Real Estate

Goal: Lead generation, ROAS/Sales, Brand awareness, App installs

Budget: $1K-$5K, $5K-$20K, $20K-$100K, $100K+

Step 2: Platform Selection

Based on your industry and budget, the plan recommends specific platforms:

Step 3: Campaign Structure

Each industry gets a customized template:

SaaS Structure

Google Ads (40%) - Capture high-intent buyers

• Brand campaigns (protect owned terms)
• Non-brand high-intent ("buy", "pricing", "vs")
• Non-brand research ("how to", "what is")
• Performance Max (with product feed)

Meta Ads (35%) - Reach prospecting audiences

• Lookalike from free trial signups
• Interest targeting (job titles, competitors)
• Website retargeting (30/60/90 days)
• Engagement audiences (video viewers)

LinkedIn Ads (25%) - Thought leadership

• Sponsored Content (case studies, whitepapers)
• Lead Gen Forms (direct capture)
• Retargeting (website visitors)

E-commerce Structure

Google Ads (50%) - Product discovery

• Shopping campaigns (product feed)
• Performance Max (automated)
• Brand campaigns
• Dynamic Search Ads

Meta Ads (40%) - Conversion + retargeting

• Advantage+ Shopping (automated)
• Lookalike from purchasers
• Dynamic product ads (retargeting)
• Cart abandonment sequences

TikTok (10%) - Younger audience

• Spark Ads (boosted organic)
• Collection Ads (catalog-driven)

Local Services Structure

Google Ads (60%) - Search intent

• Service keywords ("[service] near me")
• Brand campaigns
• Local Service Ads (if eligible)
• Call-only campaigns

Meta Ads (30%) - Geographic targeting

• Radius targeting (15-30 miles)
• Website retargeting
• Lead Gen Forms

Microsoft (10%) - Extended reach

• Search import from Google
• Lower CPCs

B2B Structure

LinkedIn (40%) - Decision-maker targeting

• Sponsored Content
• Lead Gen Forms
• Account-Based Marketing lists
• Retargeting

Google (35%) - Intent capture

• High-intent keywords
• Competitor alternatives
• Display remarketing
• YouTube demos

Meta (25%) - Support

• Lookalike from customer list
• Retargeting
• Content distribution

Step 4: Budget Allocation Matrix

Within each platform:

• 70% - Proven campaigns (known performers)
• 20% - Testing (new audiences, creatives)
• 10% - Experimental (new platforms, formats)

Step 5: Launch Timeline

Week 1-2: Foundation

• Set up conversion tracking on all platforms
• Create audiences and upload customer lists
• Build campaign structures (campaigns, ad groups, ad sets)
• Design landing pages (or prepare Lead Gen Forms)

Week 3-4: Launch

• Launch brand campaigns first (low risk, baseline traffic)
• Activate retargeting (from any existing traffic)
• Begin prospecting with proven audiences
• Monitor for technical issues (tracking, etc.)

Month 2: Optimize

• Review search terms, add negatives
• Identify winning and losing creatives
• Adjust bids based on early data
• Pause underperformers

Month 3: Scale

• Scale winners (max 20% budget increase/week)
• Pause underperformers (3x Kill Rule)
• Test new audiences and creatives
• Set up automated rules and alerts

Step 6: KPIs & Targets

Example KPIs by industry:

SaaS

E-commerce

Local Services

Step 7: Scaling Rules

1. Only scale proven campaigns - 3+ weeks of data minimum
2. Max 20% increase per week - Gradual growth prevents waste
3. 3x Kill Rule - Pause if CPA > 3x target
4. Don't scale and test simultaneously - Separate concerns
5. Monitor learning phase - No changes during ramp-up

Example Usage

Interactive Planning

Copy/agileflow:ads:plan
# Answers: SaaS, Lead gen goal, $10K budget
# Returns: Full SaaS campaign plan with timeline

SaaS Campaign

Copy/agileflow:ads:plan INDUSTRY=saas BUDGET=10000 GOAL=lead-gen
# Returns: SaaS-specific plan with all templates

E-commerce Campaign

Copy/agileflow:ads:plan INDUSTRY=ecommerce BUDGET=20000 GOAL=roas
# Returns: E-commerce plan focused on ROAS optimization

Expected Outcomes

Following this plan typically delivers:

• Solid foundation - Tracking, audiences, structure in place
• Quick wins - Early traffic from brand campaigns
• Data for optimization - First month provides optimization insights
• Scalable structure - Can grow 50-100% month 2-3 with good results
• Professional execution - Follows best practices for your industry

Tips

• Start simple - Don't launch on all platforms simultaneously
• Tracking first - Fix tracking before scaling
• Document assumptions - Note your KPI targets and rationale
• Weekly reviews - Spend 30 mins/week on optimization
• Monthly deep dives - 2-3 hours/month for major changes
• Rerun quarterly - Refresh strategy as results come in

Related Commands

• /ads:audit - Audit existing account
• /ads:budget - Optimize budget allocation
• /ads:competitor - Competitive research