market-intelligence

Predict revenue segment performance from Google Trends search interest.

18|3|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/mohitjandwani/analyst-kit --skill market-intelligence-mohitjandwani
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-intelligence
Source: https://github.com/mohitjandwani/analyst-kit/tree/main/plugins/analyst-kit/skills/market-intelligence
Command: npx skills add https://github.com/mohitjandwani/analyst-kit --skill market-intelligence-mohitjandwani

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires serpapi, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you predict a company's current-quarter revenue segment performance using Google Trends search-interest data.

Core Features & Use Cases

  • Keyword Identification: Find keywords that track a revenue segment.
  • Normalization & Nowcast: Normalize trends scale into a quarterly index and produce a quarter-to-date nowcast.
  • Use Case: For a company like Victoria's Secret, use this Skill to predict revenue segment performance based on Google Trends search interest.

Quick Start

Run the 'fetch_trends.py' script with the keyword 'victoria's secret' and the date range 'today 5-y'.

Frequently Asked Questions about market-intelligence

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

FAQPage Schema
What is nowcasting company revenue using Google Trends search interest?

Nowcasting company revenue with Google Trends search interest involves predicting current-quarter revenue segment performance by identifying tracking keywords and normalizing trends data into a quarterly index.

How do I predict company revenue segments from search interest data?

To predict revenue segments from search interest data, use a two-step methodology to identify relevant keywords, fetch Google Trends data via SerpAPI, and normalize the trends scale into a quarter-to-date index.

Do I need a SerpAPI key to fetch Google Trends data for revenue prediction?

Yes, you need a SerpAPI key to fetch Google Trends data for revenue prediction. The Skill supports both manual and API-based exploration modes, requiring the key for automated data retrieval.

How does Google Trends normalization work for quarterly revenue nowcasting?

Google Trends normalization for quarterly revenue nowcasting scales search interest data into a quarterly index, applying a two-step methodology that handles partial data and granularities to produce a quarter-to-date nowcast.

What are the limitations of using Google Trends for revenue segment prediction?

Limitations of using Google Trends for revenue segment prediction include handling partial data and varying granularities. The methodology requires careful keyword identification to ensure search interest accurately tracks the target revenue segment.

Can I use SerpAPI to fetch historical Google Trends data for a specific date range?

Yes, you can use SerpAPI to fetch historical Google Trends data for a specific date range, such as 'today 5-y', by executing the fetch_trends.py script with your target keyword and desired timeframe parameters.