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This entry duplicates ad-performance-analysis, which is the one we list in search.

ad-performance-analysis

Answer ad performance questions using data from Fivetran's ad connectors via BigQuery, Snowflake, or Databricks.

Skill by fivetran

IndexedNOASSERTION★ 24
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/fivetran-ad-performance-analysis-23e2b3

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Answer ad performance questions using data from Fivetran's ad connectors via BigQuery, Snowflake, or Databricks. Cross-channel analysis across Google Ads, Facebook Ads, Microsoft Ads, LinkedIn Ads, TikTok Ads, Pinterest Ads, and Snapchat Ads. Use when someone asks about ad spend, impressions, clicks, conversions, CPC, CPM, ROAS, CTR, or any advertising metrics. Supports cross-channel comparison, campaign drill-down, trend analysis, keyword performance, and anomaly detection. Trigger on: "how are our ads performing", "ad spend", "campaign performance", "cost per click", "ROAS", "impressions", "CTR", "ad performance", "marketing analytics", "compare channels", "cross-channel", "Facebook vs Google", "budget allocation", "LinkedIn ads", "TikTok ads", "Pinterest ads", "Snapchat ads", "LinkedIn performance", "TikTok performance", "Pinterest performance", "Snapchat performance".

Use cases: data, marketing, finance

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What's inside

Skill name
ad-performance-analysis
Description
Answer ad performance questions using data from Fivetran's ad connectors via BigQuery, Snowflake, or Databricks. Cross-channel analysis across Google Ads, Facebook Ads, Microsoft Ads, LinkedIn Ads, TikTok Ads, Pinterest Ads, and Snapchat Ads. Use when someone asks about ad spend, impressions, clicks, conversions, CPC, CPM, ROAS, CTR, or any advertising metrics. Supports cross-channel comparison, campaign drill-down, trend analysis, keyword performance, and anomaly detection. Trigger on: "how are our ads performing", "ad spend", "campaign performance", "cost per click", "ROAS", "impressions", "CTR", "ad performance", "marketing analytics", "compare channels", "cross-channel", "Facebook vs Google", "budget allocation", "LinkedIn ads", "TikTok ads", "Pinterest ads", "Snapchat ads", "LinkedIn performance", "TikTok performance", "Pinterest performance", "Snapchat performance".
License
NOASSERTION
Allowed tools
bash(bq,, gcloud,, snow,, snowsql,, databricks,, open,, python3,, pip)
Metadata
owner: Abdul Ghaffar <abdul.ghaffar@fivetran.com> · plugin: ad-performance-analysis · short-description: Cross-channel ad performance analysis via BigQuery, Snowflake, or Databricks
Instructions
618 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • body: 618 lines (spec recommends under 500)

Files (10)

  • SKILL.md
  • asa.py
  • asa.sh
  • facebook_ads.md · connectors/
  • google_ads.md · connectors/
  • microsoft_ads.md · connectors/
  • dashboard-schema.md
  • generate-dashboard.py
  • readiness.json
  • warehouse-discovery.md

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from fivetran/skills

Signals

Stars
24
Forks
1
Open issues
0
Last commit (this folder)
Oct 15, 2026 (14 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/fivetran/skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from fivetran

Cite this page

ad-performance-analysis skill. Agent Mart. https://agentmart.dev/skills/fivetran-ad-performance-analysis-23e2b3 (last updated 2026-10-24)