Lead Research & Enrichment.
Collect, normalize and filter prospect information.
← ALL PROJECTSProspect information is scattered across sources and arrives in inconsistent formats. A useful outreach dataset needs relevant context and a consistent structure.
I built an n8n lead collection and enrichment workflow that aggregates prospect information, normalizes fields and filters records against an ideal customer profile.
- Lead collection from configured sources
- Company and prospect enrichment
- Data normalization
- ICP-based filtering
Configured lead sources provide the initial prospect records.
The workflow gathers additional company context and normalizes fields into a consistent dataset.
ICP-based filtering produces a dataset ready for review or downstream outreach.
TOOLS & TECHNOLOGIES n8n · Lead-source integrations · Enrichment APIs · Structured data
- Keep prospect research useful as its own workflow, with a dataset that can be reviewed or passed to outreach.
- Use a consistent field structure to make records from different sources comparable.
A completed workflow that turns prospect information from configured sources into a normalized, enriched dataset filtered against the business’s ideal customer profile.
COMPLETED PROJECT · DEMO ASSETS TO FOLLOW