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AI Revenue Intelligence

Convert Gong transcripts and analytics data into structured revenue intelligence.

3.3k|656|Updated Mar 28, 2026
Search Tags:#GA4#HubSpot#Gong#client reporting#revenue attribution#sales call intelligence
One-click install
npx skills add https://github.com/ericosiu/ai-marketing-skills --skill ai-revenue-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: AI Revenue Intelligence
Source: https://github.com/ericosiu/ai-marketing-skills/tree/main/revenue-intelligence
Command: npx skills add https://github.com/ericosiu/ai-marketing-skills --skill ai-revenue-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, google-analytics-data, google-auth.

What problem does it solve?

This Skill helps marketing teams prove which content actually drives revenue and turns sales calls into structured intelligence for better follow-up and content planning.

Core Features & Use Cases

  • Gong sales call insight extraction: Identify objections, buying signals, competitive mentions, pricing discussions, and extract content topic candidates from transcripts.
  • Content-to-revenue attribution: Map GA4 traffic content to HubSpot closed deals using first-touch, linear, or time-decay attribution models and produce ROI-style rankings.
  • Unified client reporting: Generate client-ready reports that combine GA4 traffic, HubSpot pipeline, Ahrefs SEO signals, and Gong call-quality themes, including anomaly detection and executive summaries.
  • Recommended next steps: Produce follow-up suggestions (and optionally content topics) based on what prospects actually said.

Quick Start

Run the Gong-to-Insight analysis on your latest transcript by telling your agent: "Analyze ./transcripts/call-001.txt for objections, buying signals, competitor mentions, and follow-ups, and output the results as insights.json."

Frequently Asked Questions about AI Revenue Intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract objections and buying signals from Gong sales call transcripts?▼

To extract objections and buying signals from Gong sales call transcripts, you analyze transcript text to identify competitive mentions, pricing discussions, and content topics, outputting structured revenue intelligence as JSON or markdown files.

What is the best way to map GA4 traffic content to HubSpot closed deals for revenue attribution?▼

To map GA4 traffic content to HubSpot closed deals for revenue attribution, you connect web analytics to pipeline data using first-touch, linear, or time-decay models, producing ROI-style content rankings that prove which marketing efforts drive revenue.

Can I generate unified client reports combining GA4, HubSpot, Ahrefs, and Gong data?▼

Yes, you can generate unified client reports combining GA4, HubSpot, Ahrefs, and Gong data by aggregating multi-source marketing and sales signals into a single document, including anomaly detection and executive summaries for comprehensive performance visibility.

Do I need API credentials for GA4, HubSpot, and Gong to run revenue intelligence analysis?▼

Yes, running revenue intelligence analysis requires API credentials for GA4, HubSpot, Ahrefs, and Gong, which the Python tools read from environment variables to authenticate and pull deal data, analytics, SEO signals, and transcripts.

How do I analyze a Gong transcript file and output the results as a JSON file?▼

To analyze a Gong transcript file and output results as JSON, you point the agent to a local transcript file, process the text for objections and buying signals, and write the structured insights to a specified JSON file path.

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