01 — Discovery

Find people who actually match your ICP.

Describe your customer in one sentence. Scout scans LinkedIn, X, and the open web and ranks people by the buying signals that matter, so you work a list of fits instead of a list of names.

The problem

The list is the problem, not the volume

Most outbound fails before the first message goes out. You buy a database, filter by title and industry, and end up messaging hundreds of people who happen to have the right job title and zero reason to care. Volume on a bad list just means more people ignoring you faster.

How Scout does it

Targeting that starts with intent, not job titles

You tell Scout who you sell to in plain English. AI parses it into a real query and then goes looking, ranking every prospect by buying signals like recent funding, new hires, role changes, and what they post about right now. The output is a short list of people who have a reason to talk to you this week, not a 5,000-row export.

01

Plain-English ICP

No boolean filters to wrestle. Write "Heads of Growth at Series A SaaS in NYC who post about retention" and Scout turns it into a structured search across every source.

02

Ranked by buying signals

Funding rounds, hiring spikes, job changes, and post activity push the right people to the top. You see who is in-market now, not just who fits on paper.

03

Across LinkedIn, X, and the web

Scout pulls from where your buyers actually are, deduplicates, and hands you one clean, prioritized list instead of four browser tabs.

8.2×
reply rate vs. cold blasts

Approved figures from real Scout accounts. Your results depend on your ICP and market.

Stop blasting.
Start scouting.

We hand-onboard every account. First booked call usually within 7 days of go-live.