Built an end-to-end automation that finds, scores, and qualifies B2B leads experiencing data management problems — delivering structured reports with zero manual prospecting.
The client needed to identify B2B companies experiencing data chaos — disorganised spreadsheets, broken reporting, siloed systems. Doing this manually meant hours of research per week, inconsistent quality, and leads that sat in inboxes too long before anyone acted.
They needed the pipeline to run itself and surface only the most relevant, highest-urgency leads.
The workflow runs automatically on a set schedule — no human needs to start it. It kicks off the lead detection process at defined intervals.
Each potential lead is analysed by AI to identify signals of data management pain — job titles, company size, industry, public signals. Leads are scored by urgency and fit automatically.
n8n filters out low-score leads and structures the qualified ones into clean, consistent records — company name, contact, score, pain signal, recommended action.
Results are written to a Google Sheets dashboard. High-priority leads trigger instant Slack notifications so the team can act immediately — no waiting for a morning review.
Pipeline runs unattended. Qualified leads are delivered on schedule with no human input required at any stage.
Hours of manual prospecting eliminated. The team stopped spending time on research and started spending time on conversations with leads that were already scored and ready.
Instant visibility on hot leads via Slack — the sales team knows within minutes when a high-priority prospect enters the pipeline.
I build custom lead generation and qualification systems for B2B teams.