Handle exceptions during a market research run, including unavailable browsing, stalled workers, late findings, and saved reports. The guidance helps keep evidence and reporting decisions clear; it is a supporting step for the research-market playbook, not a standalone workflow.
Step of the research-market playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-market instead; not for direct use.
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brand_read organic, gooseworks:social_inspiration_search). Say once, in the report's "In short", what couldn't be read and what it means for the answer; the paid top-up for it is a decision in the closing message, never a question before the report.site: queries, each post's own link) — first-hand evidence such as the brand's own users is finished another way, never dropped. List only what still couldn't be read. Never sit silent.No reviews yet. Tell others what you thought.
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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.