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ads-data-query-assistant

Run natural-language data query workflows for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads reports.

Why use this skill?

Optimize ad campaigns across Meta, Google, TikTok, and Amazon with AI-powered metric extraction, cross-channel analysis, and actionable strategy reports.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/danyangliu-sandwichlab/ads-data-query-assistant
Or

What This Skill Does

The ads-data-query-assistant is a powerful OpenClaw AI agent skill designed to bridge the gap between complex advertising data and actionable business intelligence. It acts as an analytical layer that sits atop your marketing tech stack, capable of querying and synthesizing performance metrics from major platforms including Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads.

Rather than forcing you to manually dig through dashboard interfaces, this skill translates natural-language queries into structured data requests. It performs rigorous metric extraction, identifying the most critical KPIs—such as ROAS, CPA, LTV, or conversion rate—based on your stated business goals. The output provides a decision-ready summary that includes a strategic action plan, risk assessment, and a downstream-ready payload for execution tasks.

Installation

You can integrate this skill into your OpenClaw environment by running the following command in your terminal: clawhub install openclaw/skills/skills/danyangliu-sandwichlab/ads-data-query-assistant

Use Cases

  • Campaign Optimization: Identify which underperforming ad sets are dragging down your overall ROAS and receive automated suggestions to pause or reallocate budget.
  • Performance Synthesis: Aggregate cross-channel performance metrics (e.g., Meta vs. Google) to determine the most cost-effective platform for customer acquisition.
  • Strategy Planning: Get data-driven recommendations on budget scaling for high-converting funnels while staying within specific CPA guardrails.
  • Market Analysis: Monitor traffic and conversion funnel signals to identify anomalies in user behavior across different demographic segments.

Example Prompts

  1. "Analyze our Meta and Google Ads performance for the last 30 days. We want to scale our top-performing campaigns to reach a target ROAS of 3.5 while keeping CPA under $20."
  2. "Compare TikTok and Instagram conversion rates for our new spring product line. Which channel is driving more high-intent traffic?"
  3. "Check our Shopify and Amazon ad spend for this week. Are we over-indexed on awareness campaigns? Suggest a budget reallocation to prioritize bottom-of-funnel conversions."

Tips & Limitations

To get the best results, always provide specific context regarding your current business goal (e.g., 'grow revenue' vs. 'maximize brand awareness'). If you have existing constraints like a hard budget cap or brand compliance rules, include these in the prompt to ensure the generated action plan is safe to implement. Note that data accuracy relies on the quality of the connected platform accounts. If a platform is disconnected or lacking sufficient conversion tracking, the assistant will return conservative recommendations. Always review the 'Risks and Guardrails' section of the output before deploying automated changes to your active ad sets.

Metadata

Stars3376
Views0
Updated2026-03-24
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-danyangliu-sandwichlab-ads-data-query-assistant": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#ads#marketing#analytics#optimization#ppc
Safety Score: 4/5

Flags: external-api