Turn buying signals into plays, run them through the tools you already use, and get a report every week on which ones actually worked. Each week's outbound is sharper than the last.
From your strategy to a weekly report, in one loop. Here's how it works for a LinkedIn campaign run through HeyReach.
Get a demoYour strategy becomes a live model of your market that suggests the plays to run.
Pick the signals you think work, write down what you expect, and run them.
Leads and the reason behind each go into HeyReach, your CRM and Slack.
See who moved a buying stage, why, and the next move to make.
A weekly report shows what worked, and what to change next.
Market Signals
Set up signals across your whole market: who is hiring, who engages with a rival, who complains on Reddit, who raised, who changed leaders, who keeps visiting your pricing page. Each one comes with the evidence.
Buyer Intelligence
Signals add up per account and per person. Noise is filtered out, what’s left is scored, and each account gets a buying stage, so you know who to follow up with, why, and what to send.
| Hiring | Engaging | Complaints | Visits | Stage | |
|---|---|---|---|---|---|
| Northwind | 4 | 5 | 2 | 3 | Evaluating |
| Brightline | 2 | 3 | 0 | 4 | Evaluating |
| Keel & Co | 0 | 2 | 5 | 1 | Problem |
| Orbital IT | 1 | 1 | 0 | 1 | Aware |
GTM Alpha
Define each play as a hypothesis: the signals, the message, what you expect and what would prove it wrong. Every play is read against accounts you left alone, so you can see at a glance which plays work, scale them, and stop the rest.
| Play | Trend | Reply | Lift | Status |
|---|---|---|---|---|
| Hiring SDRs → webinarLinkedIn · 120 accounts | 11% | +9 | Scale | |
| AI SDR posts → teardownLinkedIn · 86 accounts | 8% | +5 | Scale | |
| Complaints → switch offerEmail · 64 accounts | 5% | +2 | Testing | |
| New VP Sales → introLinkedIn · 40 accounts | 4% | +1 | Testing | |
| Pricing visits → call askEmail · 150 accounts | 2% | 0 | Stop | |
| Funding → congrats DMLinkedIn · 52 accounts | 1% | −1 | Stop |
Connectors
Your agents, your CRM, your outreach tools and your team’s chat, all reading from one model of your market. If the connector doesn’t exist yet, our engineers build it.
Codex
OpenClaw
Attio
beehiivWhat our team has built
Case study · goal
Grew a subreddit from zero to 100K+ members, making it the go-to community in the category.
Case study · goal
Built a 20K+ engaged following and achieved GEO ranking within the first week of launch.
Case study · goal
Achieved first-page AI citation placement across ChatGPT, Claude, and Perplexity within one week.
Case study · goal
$100K in prizes. NYC Agent Hacker House.
Case study · goal
Senior engineers from top companies in real product conversations.
Resources
Roman walks through using agents to find, qualify and reach B2B leads.
Fit tells you which companies could buy. Only a signal tells you when. A buying signal is a change, at a named company, on a known date, that you can go and check for yourself. This is the full landscape of 27 signal types in nine groups, the public record behind each one, and why several signals landing on the same company inside a week is the thing worth acting on rather than any single alert.
Harshil Jani
Marketing leaders are experimenting with AI agents but building in silos. The true advantage comes when you have a clear strategy. From AI-assisted persona targeting to competitor signal scanning, these 10 applications show how a unified agent layer transforms B2B marketing performance.
Sebastian LourençoWe look at who you sell to and the signals your buyers already give off, and leave you with the first play to run and how you’ll know it worked.
FAQ
Outbound that starts from a buying signal (a hire, a funding round, engagement with a competitor, a complaint) instead of a static list, so the first message can name the reason you are reaching out now.
Leads and the reason behind each go into HeyReach for LinkedIn, Instantly for email or your own agents, back into HubSpot, Salesforce or Attio, and into Slack or Teams. Your own agents can reach it over MCP.
Every play is run against accounts you left alone. The weekly report shows the reply rate minus the control, so you scale the plays that lift and stop the rest.
