Assess candidate marketing channels using brand facts, evidence, economics, capacity, and founder availability. The step labels each channel Run, Test, Later, or No, explains the decision, and records founder hours for execution.
Step of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Load: ../plan-campaign/references/channel-decision.md.
Inputs: brand type and distribution footprint (where the product is sold); buyer groups and demand read (research/audience/buyer-groups.md, research/market/demand.md); landscape and where competitors invest (research/competitors/landscape.md, competitor files, competitor_read roster); the economics box and per-leg minimums; creative capacity (which makers and how much volume; past creative in ads_creative_read); tracking state; email list size; learnings log; the founder's hours; channels already committed or off-limits; existing campaign concepts (campaign_read).
Do:
Output: the brief's ### Channel decisions section and founder-hours line.
Never: a row without a brand-fact reason; "doesn't fit our audience" without saying who the audience is and where they are.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
The supplied material contains only placeholder text for the skill’s purpose, inputs, steps, and completion criteria. It does not provide enough information to describe a task or result reliably.
Research supported advertising angles using buyer context, current product facts, customer language, and observed ads. Turn the evidence into static ad, video, or copy ideas, matching video concepts to available recipes. Scores rank ideas for testing; they do not predict results.
Analyze campaign data from Google, Meta, and LinkedIn to find strong and wasteful spend. The skill checks funnel performance and test results, then recommends which campaigns to pause, scale, or test and how to shift budget across channels.
Compare ad spend and signups with downstream outcomes to calculate the cost of each qualified lead. The skill checks tracking coverage, accounts for how long leads need to mature, and groups creatives into actionable categories with confidence notes.
Prepare the intake for a Meta ad campaign by reviewing available brand information first, stating reasonable assumptions, and asking only questions whose answers could affect budget, claims, or legal exposure. It records stable brand facts, a campaign brief, and what was asked versus assumed.
Review ad copy, image text, visuals, and people against platform and brand category rules. It suggests honest fixes and needed disclosures, then flags issues requiring human or legal review, with a separate result for each ad and platform.