What problem does it solve?
Paid advertising is complex and fragmented across platforms, budgets, and audiences, making it hard to launch effective campaigns, control spend, and consistently acquire customers at an efficient cost. This Skill gives tactical guidance to set measurable goals, pick the right platforms, structure campaigns, and apply optimization levers so ads drive predictable acquisition outcomes.
Core Features & Use Cases
- Platform selection & strategy: Recommend the best mix of Google Ads, Meta, LinkedIn, Twitter/X, TikTok and others based on intent, audience, and budget.
- Campaign structure & naming: Provide templates for account organization, ad group/ad splits, and naming conventions for reliable scaling and reporting.
- Audience & retargeting: Define targeting, lookalike strategies, exclusion rules, and funnel-based retargeting windows and messaging.
- Creative & testing frameworks: Offer ad copy formulas, video/image best practices, and a testing hierarchy to iterate quickly.
- Optimization & reporting: Diagnostic checklist for CPA/ROAS issues, bid progression guidance, frequency controls, and weekly reporting cadence.
- Use Case: Plan and scale a B2B lead-gen campaign on LinkedIn + Google Search with retargeting on Meta, including budget splits, KPI targets, and a 4-week testing plan.
Quick Start
Tell the assistant your campaign goal, monthly ad budget, primary offer and landing page, and ask for a recommended platform mix, initial structure, and a 4-week testing plan.