dayparting-scheduler
Installation
SKILL.md
Dayparting Scheduler
Analyzes hour-of-day and day-of-week ad performance to generate bid adjustment schedules, time zone strategies for multi-geo campaigns, and platform-specific dayparting configurations. Includes bid modifier calculations, heat map generation, and B2B vs B2C scheduling patterns.
Capabilities
- Hour-of-Day Analysis: Performance breakdown by hour with statistical significance
- Day-of-Week Optimization: Identify top and bottom performing days
- Bid Modifier Calculation: Data-driven bid adjustments by time slot
- Multi-Geo Time Zone Strategy: Coordinate schedules across time zones
- B2B vs B2C Pattern Templates: Pre-built schedules for common verticals
- Platform-Specific Scheduling: Google, Meta, LinkedIn, TikTok, Reddit capabilities
- Heat Map Generation: Visual performance grids by hour × day
Workflows
1. Performance Data Collection
Google Ads — Pull hourly performance: