The Marketing Automation Cycle
Five stages that repeat and improve automatically.
Analyze
Cross-platform performance reports grouped by campaign purpose. Spot underperformers instantly.
marketing-reportResearch
Discover audiences across Google and Meta. Map search intent to targeting strategies.
audience-researchCreate
Generate hundreds of ad copy variations with character-limit enforcement and learned patterns.
ad-copywriterDeploy
Apply new copy directly to Google Ads RSA and Meta campaigns. One command.
google-ads / meta-adsLearn
Track every change as an experiment. Results feed back into the next cycle automatically.
ad-experiment-tracker10 Skills Working as One System
Each skill is powerful alone. Together, they form a closed-loop marketing engine.
Cross-Platform Reports
Unified dashboards across Google Ads and Meta Ads, grouped by Acquisition, Retargeting, and Brand.
AI Copywriter
Bulk headline and description generation. Google RSA (15H + 4D) and Meta Ads (5 variations) in one batch.
Auto Optimizer
Detects underperformers, pauses wasteful spend, reallocates budgets — all with safety guardrails.
Experiment Tracker
Every ad change becomes a trackable experiment. Results accumulate into rules for smarter copy.
Audience Research
Cross-platform audience mapping. Google search intent feeds Meta targeting suggestions.
Creative Analyzer
Headline type analysis, fatigue detection, and structured briefs for the next round of copy.
Visual Creative Generation
Auto-generate ad banner images and short-form video ads with AI. Product photos, lifestyle shots, and video ads — all from text prompts.
Before vs After
Manual Marketing
- ✗2+ hours creating ad variations
- ✗Guessing which copy works
- ✗Forgetting what you tested
- ✗Platform dashboards open all day
- ✗Same mistakes repeated
With Clawy Bot
- ✓15 minutes for hundreds of variations
- ✓Data-driven copy from experiment history
- ✓Every change tracked with hypothesis
- ✓One conversation replaces dashboards
- ✓System learns and improves each cycle