This step checks whether a campaign goal fits the available budget. It records sources and assumptions for the numbers, removes the baseline from the target, estimates the required customer acquisition cost, and flags when the goal may need adjustment. It works standalone when the goal and key economics are already known.
Checks whether a stated goal is reachable on a given budget: fills an economics box with a source on every number, subtracts the baseline, works out the implied cost per customer against history or labelled base rates, and flags when the goal needs renegotiating. Use alone when you already have the goal (metric, number, date), budget, order value, margin and baseline; otherwise run plan-campaign.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Load: ../plan-campaign/references/unit-economics.md, ../plan-campaign/references/company-types.md (the brand's type).
Inputs: the goal (metric, number, date) as the marketer stated it; budget; AOV / ARPA / first-job value; margin or contribution inputs; repeat behaviour if shown; baseline for the same period (marketer or past reports); conversion rates from the brand's history (learnings, past performance reads) or labelled base rates; stock or capacity.
Do — part 1 (step 2):
Output: the plan's ### Goal chain, ### Economics, ### If the goal needs changing sections, and the assumptions list.
Never: invent the goal, a margin or a conversion rate and present it as the brand's; pick the renegotiation lever for the marketer.
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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.