Find Buyers

Signal-Based Outbound

Signal-Based Outbound

Outbound that fires when something happens — not when a cadence says so.

Outbound that fires when something happens — not when a cadence says so.

From buying signal to personalized outbound hitting the inbox — while the signal is still warm.

From buying signal to personalized outbound hitting the inbox — while the signal is still warm.

THE brıef

Monitor every account on the target list for buying signals — funding rounds, executive hires, tech stack changes, competitor contract renewals, intent surges. When a signal fires, enrich the account, identify the right contacts, and launch a personalized outbound sequence within hours. No batch sends. No spray and pray.

Monitors signals across every target account

The agent tracks dozens of signal types across the entire target list — not just one intent provider's score. Funding announcements, leadership hires, technology changes, competitor mentions, job postings in relevant categories, website visits, review-site activity, and third-party intent surges are all logged with timestamps and sources. Signals are weighted by relevance to the ICP and the specific product being sold, so a CISO hire at a fintech company scores differently than one at a hospital system. Everything runs continuously, not on a weekly or monthly cadence.

Basecamp Financial: 3 signals in 14 days — VP Engineering hired (Feb 8), Snowflake contract detected (Feb 14), intent surge on 'data pipeline' keyword cluster (Feb 19). Composite signal score: 84.

Monitors signals across every target account

The agent tracks dozens of signal types across the entire target list — not just one intent provider's score. Funding announcements, leadership hires, technology changes, competitor mentions, job postings in relevant categories, website visits, review-site activity, and third-party intent surges are all logged with timestamps and sources. Signals are weighted by relevance to the ICP and the specific product being sold, so a CISO hire at a fintech company scores differently than one at a hospital system. Everything runs continuously, not on a weekly or monthly cadence.

Basecamp Financial: 3 signals in 14 days — VP Engineering hired (Feb 8), Snowflake contract detected (Feb 14), intent surge on 'data pipeline' keyword cluster (Feb 19). Composite signal score: 84.

Triggers outbound at the right moment

When signals cluster above a threshold, the agent fires — no human required to notice, triage, or prioritize. The trigger logic is configurable: fire on any single high-value signal (like a funding round above $20M), or fire when multiple weaker signals compound within a time window. Once triggered, the account moves from monitoring to active outbound automatically. The latency between signal and first touch drops from weeks (in a rep-driven model) to hours, which means outreach arrives while the signal is still warm and relevant.

Basecamp Financial crossed threshold on Feb 19. Outbound triggered. First email drafted and queued for approval within 2 hours of intent surge detection.

Triggers outbound at the right moment

When signals cluster above a threshold, the agent fires — no human required to notice, triage, or prioritize. The trigger logic is configurable: fire on any single high-value signal (like a funding round above $20M), or fire when multiple weaker signals compound within a time window. Once triggered, the account moves from monitoring to active outbound automatically. The latency between signal and first touch drops from weeks (in a rep-driven model) to hours, which means outreach arrives while the signal is still warm and relevant.

Basecamp Financial crossed threshold on Feb 19. Outbound triggered. First email drafted and queued for approval within 2 hours of intent surge detection.

Personalizes every touch to the signal

Every outbound email, LinkedIn message, and ad references the specific signal that triggered it — not a generic value prop. If the trigger was a VP Engineering hire, the first email references the new leader's priorities and the technical challenge implied by the hire. If it was a funding round, the copy connects the product to the growth plan the funding enables. Each contact in the buying committee gets a different message angle based on their role and the signal context. Copy is generated per-account, per-contact, per-signal.

Basecamp Financial: email to CTO references Snowflake adoption and data pipeline complexity. Email to VP Engineering (new hire) references onboarding priorities and stack consolidation. LinkedIn ad targets the data team with a pipeline orchestration angle.

Personalizes every touch to the signal

Every outbound email, LinkedIn message, and ad references the specific signal that triggered it — not a generic value prop. If the trigger was a VP Engineering hire, the first email references the new leader's priorities and the technical challenge implied by the hire. If it was a funding round, the copy connects the product to the growth plan the funding enables. Each contact in the buying committee gets a different message angle based on their role and the signal context. Copy is generated per-account, per-contact, per-signal.

Basecamp Financial: email to CTO references Snowflake adoption and data pipeline complexity. Email to VP Engineering (new hire) references onboarding priorities and stack consolidation. LinkedIn ad targets the data team with a pipeline orchestration angle.

Measures what converts and tunes the triggers

The agent tracks which signals and signal combinations lead to replies, meetings, and pipeline. Over time, the data reveals which triggers actually predict conversion — not just activity. A funding round might generate replies but no pipeline, while a competitor contract renewal plus an intent surge converts at 3x the base rate. The trigger weights adjust based on outcomes, so the system gets more precise the longer it runs. Signal-to-meeting conversion is visible per signal type, per segment, per rep.

Last 90 days: competitor renewal + intent surge triggered 14 accounts, 6 meetings booked (43% conversion). Funding-only triggers: 22 accounts, 3 meetings (14%). Trigger weights updated — competitor renewal combo moved to auto-fire.

Measures what converts and tunes the triggers

The agent tracks which signals and signal combinations lead to replies, meetings, and pipeline. Over time, the data reveals which triggers actually predict conversion — not just activity. A funding round might generate replies but no pipeline, while a competitor contract renewal plus an intent surge converts at 3x the base rate. The trigger weights adjust based on outcomes, so the system gets more precise the longer it runs. Signal-to-meeting conversion is visible per signal type, per segment, per rep.

Last 90 days: competitor renewal + intent surge triggered 14 accounts, 6 meetings booked (43% conversion). Funding-only triggers: 22 accounts, 3 meetings (14%). Trigger weights updated — competitor renewal combo moved to auto-fire.

Today vs. with

Today vs. with

Signal-Based Outbound

Signal-Based Outbound

Today

SDR checks intent dashboards weekly, exports a list, manually prioritizes

Same cadence fires regardless of timing — Day 1, Day 3, Day 7 whether or not anything happened

Generic value prop email with the company name swapped in

No feedback loop — reps can't tell which signals actually convert

Outbound feels cold because it is — nothing prompted it from the buyer's side

With ABM Strategist

Signals monitored continuously. Outbound triggers automatically when thresholds hit.

Outreach fires when something happens at the account. Timing is the signal, not the calendar.

Every message references the specific signal — the hire, the funding round, the tech change.

Signal-to-meeting conversion tracked per signal type. Trigger weights adjust automatically.

Outbound arrives in context. The prospect just made a move and the message acknowledges it.

Works with

Works with

No items

No items

Three layers, one platform by Lantern

Three layers, one platform by Lantern

Every agent runs on three layers: a unified data model, 150+ enrichment providers, and an open-source engine where every decision is auditable.

Every agent runs on three layers: a unified data model, 150+ enrichment providers, and an open-source engine where every decision is auditable.

Data Waterfall

150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine

Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology

Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

FAQ

FAQ

How long does setup take?

What signals does it track?

Can I control when outbound fires?

How is this different from intent-based tools like 6sense or Bombora?

What if signals fire for accounts my reps are already working?

Stop sending emails because it's Tuesday. Start sending them because something happened.

Stop sending emails because it's Tuesday. Start sending them because something happened.

USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin

USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin

USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin