Most cold outreach fails because the timing is random. Natively watches for buying signals — a competitor's customer churning, a key hire, a funding round, a tech-stack change — and gets a personalized, approved email out while the window is open.
Your best prospects are only in-market for a few weeks at a time. Spray-and-pray sequences hit them at random moments with generic copy; SDR teams can't monitor thousands of accounts for the moment intent appears. The signal exists — someone just has to be watching, and ready to act the same week.
Continuous monitoring across your target market: churn from competitor tools, executive hires, funding events, hiring surges, tech changes. Signals land scored and sourced.
For each hot signal, Natively verifies the right contact, then writes an email that leads with the signal — why now, why them, why you. It reads like your best rep on a good day.
Drafts queue in your approval inbox. Approve, edit, or reject each one. Sends go out through warmed mailboxes under daily caps; replies route straight to you.
Every in-market account in your territory, scored, with the evidence and date behind each signal.
Personalized emails waiting in your approval inbox each morning. Ten minutes of review, then back to your day.
Positive replies flagged and routed instantly; the full thread and outcome logged against the account.
Public and licensed sources — job posts, funding announcements, technology data, review-site activity — each stored with its source and date. No scraped private data, and every contact is verified before use.
No. Sends run through dedicated, warmed mailboxes with enforced daily caps and warmup health checks that block sending when a mailbox isn't ready — the system fails closed.
A feed gives you a CSV. Natively closes the loop: signal → verified contact → written draft → your approval → send → reply handling. You review outcomes, not raw data.