ICP Company Scoring
This workflow automates the processing of company LinkedIn page information to achieve Ideal Customer Profile (ICP) scoring. It extracts target company data from Google Sheets and utilizes Airtop's intelligent analysis to evaluate multidimensional information, such as company size and technological level, to calculate a comprehensive ICP score. The results are then automatically updated back to Google Sheets. This process significantly reduces the workload of manual data collection and assessment, enhancing the efficiency and accuracy of customer screening, and helping sales, investment, and business development teams quickly identify high-quality clients.
Workflow Name
ICP Company Scoring
Key Features and Highlights
This workflow automates the Ideal Customer Profile (ICP) scoring based on company LinkedIn page information. It batch-imports target company data from Google Sheets, leverages Airtop’s intelligent analysis to extract multidimensional information such as company identity, size, technological maturity, AI adoption, and investment status, and calculates a comprehensive ICP score according to predefined weights. The scoring results are then automatically updated back into Google Sheets, enabling a closed data loop with real-time updates.
Core Problems Addressed
- Automates the integration and analysis of vast amounts of publicly available company information, eliminating tedious manual data collection and evaluation.
- Standardizes the assessment of company technological strength and AI application level to quickly identify high-potential customers.
- Ensures automatic data synchronization to maintain the timeliness and accuracy of scoring data.
Application Scenarios
- Sales and marketing teams filtering and prioritizing ideal customers for follow-up.
- Investment firms evaluating the technological and business potential of target companies.
- Consulting firms conducting client research before deploying industry automation and AI solutions.
- Internal corporate teams performing business development and customer value assessment.
Main Process Steps
- Manual trigger to start the workflow.
- Read target company list and LinkedIn URLs from Google Sheets.
- Invoke Airtop node to perform in-depth data extraction and structured analysis based on LinkedIn information.
- Calculate ICP score, incorporating dimensions such as AI focus, technology tier, employee size, automation agent status, and geographic location.
- Format scoring results for writing back.
- Update corresponding rows in Google Sheets with the latest ICP scores.
Involved Systems or Services
- Google Sheets: Data input and result storage platform.
- Airtop: Intelligent analysis service based on natural language processing and data extraction, parsing LinkedIn company page data.
- n8n: Workflow automation and node orchestration platform.
Target Users and Value
- Sales and marketing professionals: Quickly identify high-value prospects and improve conversion rates.
- Investment analysts and venture capitalists: Support investment decisions by gaining insights into target companies’ technology and AI adoption.
- Corporate strategy and business development teams: Evaluate business expansion targets and formulate precise partnership strategies.
- Automation and AI service providers: Optimize product positioning and market strategies through customer profiling analysis.
By leveraging powerful automated data collection and intelligent analysis capabilities, this workflow significantly reduces manual evaluation costs and enhances the scientific rigor and efficiency of customer screening. It serves as a vital tool for modern enterprises in digital sales and investment analysis.