Review planned or live ads for working conversion tracking, mobile landing pages, product and offer accuracy, stock, disapprovals, and account or payment stops. Get a pass, fail, or unknown status for each check, plus fixes for issues that block launch or scaling.
Checks that ads are safe to spend on: conversion tracking recording, landing pages loading on mobile with the right product, price and offer, enough stock behind promoted products, no disapproved ads, and no account or payment stop. Marks each pass, fail or unknown and turns fails into fixes. Use alone when you already have the live or planned ads and their landing pages; otherwise run run-paid-campaigns.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Load: ../run-paid-campaigns/references/launch-and-graduate.md (health gate section).
Inputs: the chosen platforms (from the brief); the latest analyze-performance read (reports/performance/) — its data-quality flags and the platform-claims ÷ store-orders ratio; with GooseWorks, meta_read push status for each id in state.md's meta_push_ids (per-creative failures, destinations; local mode: the connector's delivery and disapproval reads, ../run-paid-campaigns/references/local-mode.md); destination URLs of other live ads (the marketer's export); stock on promoted SKUs (marketer or product record); live offers and their end dates (brief's Offer section, the marketer); the marketer's ads connector, when there is one (disapprovals, delivery status, whether the conversion event is recording).
Do — in order, one line each, ✓ / ✗ / unknown:
Output: the proposal's health line, plus fix moves (pause the affected Goose ad, a card for non-Goose objects, a written tracking fix). Any ✗ blocks launches and scale moves for that destination this week. Only a tracking break makes the window's numbers suspect; low stock or a disapproval does not invalidate past results.
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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.