Pure spray-and-pray sequences land under 1% reply rates. LinkedIn is saturated. Email inboxes are policed by AI. The old playbook is done.
A funding round is a signal for 72 hours. A job change, a week. By the time your ops team exports a list, the moment has passed.
You spot the signal in one tab, research in another, copy-paste into the sequencer, tweak the message. Thirty minutes per touch.
Each signal type deserves different copy. You either ship one generic template or spend a week building ten sequences.
Which signal drove pipeline? Funding? Job change? Site visit? If you cannot attribute per signal, you cannot double down.
Twelve Slack channels ping with triggers. Reps mute half. The other half they see after the window closes.
Web visits, LinkedIn engagement, funding, hiring, job changes, tech adoption, G2 views, press mentions — one unified stream.
An agent decides if the signal matters for your ICP and offer — not a rigid rule. "Series B hiring SDRs" is a yes; "posting about yoga" is a no.
Message templates tuned for each trigger type. A funding ping sounds nothing like a job-change ping, nothing like a site-intent ping.
Reps see a daily queue of drafts with rationale attached. Approve individually, batch-approve by signal, or route to SDR desk.
Every outbound carries its trigger metadata — source, timestamp, rationale — into HubSpot / Salesforce for clean attribution.
No double-touching a contact across two signals in the same week. The agent maintains state across your entire contact graph.
In chat, turn on the trigger feeds: your own site, LinkedIn Intent, Crunchbase funding, job-change data, your G2 profile, press mentions, tech-stack changes. Mix and match.
Tell the agent: "Series A–C SaaS hiring RevOps" or "existing customer account adds a new VP of Sales." Natural language becomes the qualification layer.
Each qualified trigger produces a draft — funding gets a congratulations-angle, job change gets a peer-welcome angle, site intent gets a pain-relief angle. All cited back to the trigger.
Reps open a single queue of 20–40 drafts each morning. Batch-approve obvious wins, edit the borderline ones, skip the noise. Sub-10-minute ritual.
Every opportunity ties back to its originating signal. After a quarter, you know funding-ping is 3× your ROI and you retire the noise channels.
The agent connects the trigger to the message so the rep does not have to. Relevance at the cadence of real sales.
Stop paying humans to tab between LinkedIn, Crunchbase, and the CRM. Pay them to judge and close.
Every send adds a data point. The agent learns which signal + message + segment combos actually convert for you.
Unify first-party, third-party, and partner signals into one listening graph.
Track company + persona activity on LinkedIn, detect engagement windows.
Per-signal LLM qualification against your ICP, offer, and existing relationships.
Email, LinkedIn, Slack Connect — channel chosen per signal and persona.
Enroll approved outbound into Outreach, Salesloft, Apollo, or native send.
Cost, reply rate, meeting rate, and pipeline per signal source.
Your own site intent, LinkedIn Intent, Crunchbase funding and M&A, job-change data, tech-stack changes, G2 profile views, press mentions, and warehouse-backed product events.
Yes. Any webhook or warehouse event can register as a trigger. The qualification agent adapts to the new source after a few hundred labeled examples.
Per-domain warmup, send-window controls, and cross-signal dedup keep volumes safe. Most teams send fewer touches and see higher reply rates.
They spend less time researching and more time replying to replies. Typical feedback is "I finally have time to sell." Some start managing 2–3× the number of accounts.
