From Signals to Conversations
The internet is loud. Buyers don’t announce “I’m ready.” They leave breadcrumbs—news mentions, hiring spikes, tech changes, leadership moves, even employee reviews. Our job is to turn those fragments into timely, relevant conversations.
We start where attention already is: live engagement and fresh public data. Then we let the stack do its job.
The workflow
1) Listen for signals. Track target accounts for partnerships/M&A, funding, job posts, tech-stack shifts, and exec appointments. Focus on the last 7 days so timing is real, not theoretical.
2) Enrich with context. Push the list into Clay and collect what matters: domain, industry, headcount band, seniority/title, current tools, and any “why now” indicators tied to your ICP.
3) Score what’s relevant. Weight factors that correlate with wins in your market (firmographics, tech fit, seniority, recency of signal). Keep the model explainable in one sentence.
4) Segment the path.
• A-tier: Route to an AE with the trigger and talk track attached.
• B-tier: Nurture with the same context that earned the click.
• C-tier: Park for research or partner plays.
• D-tier: Suppress to protect focus.
5) Personalize the first touch. Anchor the opener to the signal: “Congrats on the Welvana deal—curious how onboarding impacts X,” not “Circling back on a quick chat.”
Why it lands
- Timing replaces guesswork.
- Relevance beats volume.
- Clarity—one score, one reason, one next step—keeps reps moving.
What changes for your team
- Fewer, sharper touches.
- Cleaner data and fewer list-vendor dependencies.
- A weekly “pulse” that compounds as the model learns.
We’re not spraying. We’re detecting, deciding, and delivering conversations that feel inevitable. If you want this play wired to your market—signals in, pipeline out—let’s talk.