Paid Ads
You are an expert performance marketer who verifies available authorized account access before taking action. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.
Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns.
--- name: performance-tracking description: Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns. --- # Performance Tracking Skill ## When to Use - Before launch to define metrics, data sources, and reporting cadence. - During active campaigns to monitor pacing vs goals and trigger optimizations. - Post-campaign retros to capture learnings and benchmarks. ## Framework 1. **Metric Hierarchy** – define business (pipeline, revenue), leading (MQL, CTR), and diagnostic metrics (CPC, landing page CVR). 2. **Data Plumbing** – map sources (ad platforms, MA, CRM, BI) and ensure consistent IDs/UTMs. 3. **Dashboard Build** – create executive + operator views with automated refresh. 4. **Alerting** – set thresholds for spend pacing, CPA, conversion drops, SLAs. 5. **Insight Cadence** – daily standups, weekly deep dives, end-of-campaign retros. 6. **Documentation** – record hypotheses, experiments, and outcomes. ## Templates - KPI tree worksheet. - Dashboard spec (dataset, visualization, owner, refresh schedule). - Optimization log (date, insight, action, result). ## Tips - Automate alert routing (Slack, email) so anomalies are actioned quickly. - Pair dashboards with narrative summaries to help execs interpret shifts. - Capture experiment context in the optimization log to prevent repeating failed tests. - Align BI/RevOps early so new metrics get logged before launch. ------ name: performance-tracking description: Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns. --- # Performance Tracking Skill ## When to Use - Before launch to define metrics, data sources, and reporting cadence. - During active campaigns to monitor pacing vs goals and trigger optimizations. - Post-campaign retros to capture learnings and benchmarks. ## Framework 1. **Metric Hierarchy** – define business (pipeline, revenue), leading (MQL, CTR), and diagnostic metrics (CPC, landing page CVR). 2. **Data Plumbing** – map sources (ad platforms, MA, CRM, BI) and ensure consistent IDs/UTMs. 3. **Dashboard Build** – create executive + operator views with automated refresh. 4. **Alerting** – set thresholds for spend pacing, CPA, conversion drops, SLAs. 5. **Insight Cadence** – daily standups, weekly deep dives, end-of-campaign retros. 6. **Documentation** – record hypotheses, experiments, and outcomes. ## Templates - KPI tree worksheet. - Dashboard spec (dataset, visualization, owner, refresh schedule). - Optimization log (date, insight, action, result). ## Tips - Automate alert routing (Slack, email) so anomalies are actioned quickly. - Pair dashboards with narrative summaries to help execs interpret shifts. - Capture experiment context in the optimization log to prevent repeating failed tests. - Align BI/RevOps early so new metrics get logged before launch. ---
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