A company name on a lead row tells you almost nothing. Add the source URL where you saw the tool and the date you saw it, and anyone on the team can check the row in ten seconds. Rows without that end up being argued about instead of worked.
Description: I turn messy spreadsheet exports into clean, consistent, analysis-ready data. I remove duplicates and extra spaces, standardize names, dates and currency, and flag missing values for review instead of guessing.
Tags: Data Cleaning, Excel, Data Formatting, Data Entry, Spreadsheets, Virtual Assistant
AI lead triage in n8n: webhook → validate → LLM hot/warm/cold → HubSpot upsert → Slack alert, plus an error branch so nothing fails silently. Works with any OpenAI-compatible endpoint. You bring your own API keys.
n8n AI Lead Capture to CRM Template · $39.99 — search Logan Bishop on Contra to grab it, or check the Products tab on my profile.
A manually verified, text-wrapped B2B prospect list built for outbound growth agencies and software sales infrastructure teams.
Most bulk data exports from automated scrapers are packed with stale details and messy text errors that trigger delivery firewalls and ruin domain health. I specialize in high-hygiene manual lead list curation and data cleanup using advanced LinkedIn Sales Navigator filtering.
For every single record in this directory, I manually visited the corporate site to confirm active status, cleanly split first/last names into text-wrapped columns so outreach templates sound human, and verified all executive domain structures to keep outbound bounces near zero.
Watch my live 45-second screen recording walk-through attached below to inspect my spreadsheet formatting!