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Case Study

Company Database & Lead Enrichment

A structured internal database of target companies, automatically enriched with firmographic data, tech-stack signals, and LinkedIn contacts — kept up to date via scheduled scraping and AI classification.

⏱ 5 weeks implementation 💰 ROI in 10 weeks
1

Seed List Import

Initial company list is imported from CSV, CRM export, or manual entry into the PostgreSQL database.

2

Automated Enrichment

n8n triggers enrichment jobs that fetch firmographic data and LinkedIn signals from public sources for each company.

3

AI ICP Classification

Claude API scores each company against the ICP definition and tags it by segment (hot, warm, cold).

4

Weekly Refresh

Scheduled n8n run re-enriches all records; change-detection logic triggers alerts for significant shifts.

5

Lead List Export

Sales team exports filtered, ICP-scored lead lists by segment, industry, or geography for outreach campaigns.

Project Scope & Capabilities

Automated Data Enrichment

Firmographic data (industry, headcount, revenue range, location) is fetched automatically from public sources and written into the company record without any manual research.

AI ICP Classification

Claude API analyses each company record and classifies it against the client's ideal customer profile (ICP), assigning a fit score and surfacing the best-matched accounts first.

Scheduled Refresh & Alerts

An n8n schedule re-enriches every company record weekly and sends change-detection alerts when a target account's headcount, funding, or tech stack shifts significantly.

Implementation Timeline

Phase Duration Description
Discovery & ICP Definition Week 1 Define ICP criteria, map enrichment data sources, design PostgreSQL schema, and design the Claude API classification prompt.
Core Development Weeks 2-3 Build Python enrichment scrapers, PostgreSQL schema, Claude API classification pipeline, and n8n scheduling workflows.
Testing & Calibration Week 4 Validate enrichment accuracy on 200 seed companies, calibrate ICP scoring prompt with the sales team, and test alert logic.
Deployment & Handover Week 5 Production deployment, export interface, sales team walkthrough, monitoring setup, and documentation handover.

Cost Analysis

Development

$5,600

Python enrichment engine, PostgreSQL database, Claude API classification pipeline, n8n scheduling, and export interface.

Infrastructure

$110/mo

Cloud compute, PostgreSQL hosting, Claude API token costs, and n8n cloud plan.

Maintenance

$140/mo

ICP prompt tuning, new data source integration, monitoring, and technical support.

Return on Investment

50x faster

Enrichment Speed

A company record is fully enriched in seconds versus 20–30 minutes of manual LinkedIn and web research per account.

91%

ICP Classification Accuracy

AI-scored accounts match sales team manual assessments at 91% agreement rate, validated against 300 historical deals.

20 hrs/week

Research Hours Saved

SDRs no longer spend their day on manual company research — they focus on outreach to pre-scored, enriched accounts.

+31%

Outreach Reply Rate

Personalised outreach to ICP-scored accounts achieves measurably higher reply rates than unenriched cold lists.

Testing & Quality Assurance

Automated Testing

  • Enrichment pipeline validated on 200 companies across 5 industries
  • Claude API ICP scoring back-tested against 300 historical won and lost deals
  • n8n scheduling reliability tested over 4 weeks of simulated runs
  • Change-detection alert logic validated with 30 injected firmographic updates

Manual Validation

  • Sales team review of ICP scores for 50 accounts before go-live
  • Enrichment data accuracy spot-checked against LinkedIn and company websites
  • Export list format reviewed and approved by SDR team lead
  • Alert email content and frequency approved by sales manager

"Our SDRs used to spend half their day researching companies before even writing the first email. Now they start the day with a scored, enriched list and spend all their time on outreach — reply rates are up significantly."

Nina Kovacs · SDR Manager, a B2B technology company · Implemented June 2025

Ready to Build Your Ideal Customer Database?

Let's discuss how automated company enrichment and AI ICP scoring can give your sales team a pipeline full of the right accounts.