{
 "schema_version": 1,
 "generated": "2026-10-23",
 "id": "langchain-ai-paid-media-agent--weekly-cross-channel-performance-report",
 "repo": "langchain-ai/paid-media-agent",
 "repo_url": "https://github.com/langchain-ai/paid-media-agent",
 "repo_slug": "langchain-ai-paid-media-agent",
 "title": "Generate a weekly cross-channel performance report",
 "page_title": "How to generate a weekly cross-channel performance report with Paid Media Agent",
 "summary": "Produce a weekly summary of spend, conversions, and cost per lead across connected ad accounts.",
 "who": "A paid media manager who needs a recurring weekly summary across Google Ads, Meta Ads, and other connected accounts.",
 "problem": "Pulling performance numbers from several ad platforms and turning them into one readable summary takes hours each week.",
 "outcome": "A weekly report with charts, campaign tables, and recommendations, available as HTML, or PDF when the host has the rendering libraries installed.",
 "steps": [
  "`git clone https://github.com/langchain-ai/paid-media-agent.git`",
  "`cd paid-media-agent`",
  "`uv sync`",
  "`uv run paid-media-agent setup` to choose a model and connect your ad accounts in the local console",
  "Add your goals and conversion definitions in workspace/skills/company-context/ before the first real analysis",
  "`uv run paid-media-agent report --cadence weekly`"
 ],
 "agent_prompt": "Read the paid-media-agent repo and run the weekly report command with the connected accounts for <target account group>. Expected output: a weekly report file with campaign tables and data-quality flags. Verify that the spend and conversion totals match the source platform figures for the same date window.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "60 minutes",
 "basis": "readme",
 "caveat": "Available metrics and tools depend on each platform's permissions and API access, so some connected accounts may show fewer campaign details.",
 "category": "Sales and marketing",
 "tags": [
  "Sales and marketing"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.11+ and uv installed",
  "Git installed to clone the repo",
  "Access to the ad platforms you use, through Pipeboard MCP or direct adapters for X Ads and OpenAI Ads",
  "A model key for the ask command and a chosen model for setup",
  "A LangSmith organization with MDA access, an API key with deployment permissions, and a model key for managed deployment"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "Connecting ad accounts requires platform permissions and API access, and those settings live in a local .env file that you must keep private."
  }
 ],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/langchain-ai-paid-media-agent/weekly-cross-channel-performance-report/",
 "md": "https://dedupedai.com/use-cases/langchain-ai-paid-media-agent/weekly-cross-channel-performance-report/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/langchain-ai-paid-media-agent--weekly-cross-channel-performance-report.json",
 "api_version": "v1"
}