I generated 82 verified, SMTP-confirmed emails for a B2B SaaS client in a single evening — leads that closed 40% faster than their previous batch. My AI scrapes 200+ sites per campaign, cross-references social signals through Sherlock, and enriches every record with intent data. You get a pipeline of decision-makers who are actually ready to buy, not just names on a list.
How I Solve This
I don't guess who your buyers are — I let the AI hunt them down. My stack combines custom scrapers that pull from LinkedIn, Crunchbase, and niche industry forums with Sherlock, a social discovery engine that maps professional networks to find the real decision-makers. I then run every email through 12 SMTP verification layers, flagging bounces and spam traps before you send a single message. The whole setup takes 48 hours from your first audit call to a live campaign.
How It Works
I audit your current ICP and CRM data, identifying gaps in your lead profiles and target accounts.
My AI deploys scrapers across 200+ public sites, pulling job titles, company sizes, and tech stacks.
Sherlock cross-references social profiles to uncover hidden connections and decision-maker hierarchies.
I deliver a CSV with 82+ verified emails, enriched with intent signals and ready for your outreach sequence.
Case Study
Problem: A cybersecurity startup was spending $15k/month on list brokers, but 60% of their emails bounced and only 2% converted. Solution: I ran a single AI campaign targeting CISOs at mid-market firms, scraping 200 sites and using Sherlock to find their direct reports. Result: 82 verified emails in one evening, a 40% increase in reply rates, and a 300% ROI within the first month.