Data Waterfall
Cascade across data providers until every field is filled
No single data provider gets it right. This skill chains enrichment requests across multiple sources — filling gaps, verifying emails, and flagging stale records — so your CRM stays clean without manual research.
INGREDIENTS
PROMPT
Create a skill called "Data Waterfall". I'll give you a list of contacts or companies with incomplete data. For each record, cascade through available data sources to fill missing fields: email, phone, title, company, profile URL, industry, headcount. Verify all emails before returning them. Flag job changes (contact no longer at listed company). Return each record with: filled fields, confidence score per field, source attribution, and a flag for any record that couldn't be fully enriched. Summary stats at the end: fill rate by field, verification pass rate, job changes detected.
How It Works
Give it a list of contacts or companies with incomplete data. The skill cascades
through available data sources in priority order, filling missing fields at each
step. Emails get verified before they hit your CRM.
What You Get
- Multi-source enrichment: fills gaps that any single provider misses
- Email verification before CRM entry (catch bounces before you send)
- Phone number validation
- Job change detection: flag contacts who've moved companies
- Confidence scores per field so you know what's solid vs. inferred
Setup Steps
- Export your contact list with whatever fields you have (even just name + company)
- Define your enrichment priority: which fields matter most?
- Configure data source priority order
- Set verification thresholds (e.g., only import emails with 95%+ confidence)
Tips
- Run monthly on your full CRM to catch job changes and data decay
- Prioritize email verification — a 30% bounce rate tanks your sender reputation
- Use confidence scores to flag records that need manual review
- Export enrichment logs so you know which source provided what