What problem does it solve?
Running the same ad to cold and warm audiences wastes budget and annoys past visitors. This Skill builds a structured retargeting plan that segments warm audiences by behavior and time window, assigns the right message to each tier, and enforces frequency caps and exclusions.
Core Features & Use Cases
- Tiered Audience Segmentation: Splits warm audiences into 7 tiers (add-to-cart, lead form openers, LP visitors, video viewers, page engagers, email lists, past customers) with signal, window, and message direction per tier.
- Message Framework per Tier: Maps each tier to a specific message angle, CTA, and creative format (dynamic ads, testimonial video, urgency ads, FAQ).
- Frequency Caps, Exclusions & Lookalike Briefs: Provides platform-specific frequency caps (Meta, TikTok, YouTube), a mandatory exclusion checklist, and lookalike seed requirements with minimum sizes and percentages.
- Use Case: A store owner with pixel data from Meta wants to re-engage cart abandoners and past visitors. The Skill outputs a retargeting-plan markdown file with tiered audiences, per-tier messaging, a 15% budget allocation, and a lookalike brief seeded from purchasers.
Quick Start
Create a retargeting plan for my Meta ads campaign targeting cart abandoners and landing page visitors from the last 30 days with a 15% budget share.