LeadScout
I Watched a Sales Team Waste 200 Hours a Month
This is what I saw at a B2B agency: 5 SDRs. Each one spending 4 hours a day copy-pasting from LinkedIn into spreadsheets. Finding emails. Googling company news. $30k/month in salaries—just for data entry.
I thought: what if an AI crew could do this in the background, 24/7, while humans focused on actually closing deals?
The LeadScout Pipeline:
- Input: Drop in a LinkedIn profile URL or company domain. That's it.
- Enrichment: AI agents scrape verified emails, direct dials, recent funding news, tech stack, and hiring signals.
- Qualification: GPT-4 scores each lead against your Ideal Customer Profile—no more "spray and pray."
The result? That same agency now processes 500 leads/day with zero manual research. Their sales team closes deals instead of Googling.
"Hey {First Name}, Hope You're Well" is Dead
Generic cold emails have a 0.5% reply rate. Why? Because everyone sends the same template. The inbox is a warzone—and the only way to win is genuine personalization.
LeadScout doesn't just find emails—it writes them. But here's the twist: before writing a single word, the AI reads the prospect's last 10 LinkedIn posts.
"Hey Marcus, your post about PLG vs. sales-led growth hit home—especially the bit about 'premature scaling.' We helped Notion solve that exact problem. Mind if I share how?"
That's not a template. That's a message that gets replies. One client saw their reply rate jump from 2% to 14% in three weeks.
Strike While the Iron is Hot
Here's a hard truth: timing beats personalization. The perfect email sent 3 months too late loses to a decent email sent the day they start looking.
LeadScout runs 24/7 signal detection across Twitter, LinkedIn, and job boards. It's looking for moments like:
When a signal fires, the lead jumps to the top of the queue with a context note: "CEO just tweeted frustration about their current CRM."
That's not cold outreach anymore. That's showing up at the exact moment they need you.
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