Find Buyers

Personalized Outbound

Outreach that reads like it was written by someone who did the homework.

Reply rate on outbound sequences — generic templates vs. signal-based personalized copy.

THE brıef

Research every account on the outbound list before a single email goes out. Pull their recent news, tech stack, hiring patterns, and leadership changes. Write outreach that references what's actually happening at the company — not a merge field with their industry. Every sequence is unique to the account. No templates.

Researches every account before the first touch

Before writing a single word, the agent pulls firmographic data, recent news, job postings, LinkedIn activity, funding announcements, and tech stack signals for every account on the list. Research runs in parallel across all accounts, not one at a time. The output is a structured profile per account — recent triggers, open roles, known tools, competitive relationships — that feeds directly into copy generation. Reps don't have to open a single browser tab.

Example: Orion SaaS: VP Sales hired March 14. 18 open SDR roles. Outgrown Salesloft — 3 Glassdoor reviews mention 'too many manual steps.' Series B closed Feb 2026.

Writes copy that references real events

Copy generation pulls from the account research profile, not from a template library. If the account just hired a VP Sales, the email leads with that. If they're running Salesloft and have 18 open SDR roles, the outreach references the scaling challenge implied by both. Each email is written for the specific person receiving it — their title, their team's pain, the specific signal that triggered outreach. The output isn't a variation on a template. It's a first draft that sounds like the rep did the research.

Example: Orion SaaS — email to VP Sales: Subject line references March hire date. Body connects 18 open SDR roles to sequencing overhead. PS references their Salesloft contract renewal window.

Sequences across contacts in the buying committee

Personalization doesn't stop at the first email. The agent sequences across multiple contacts at the same account — each with a distinct angle. The VP Sales gets the pipeline capacity message. The RevOps lead gets the sequencing efficiency angle. The CRO gets the cost-per-meeting math. Timing is staggered so the account doesn't receive coordinated outreach on the same day. Each follow-up builds on the prior touch rather than repeating the opener. The sequence reads like a human wrote it with knowledge of the full account.

Example: Orion SaaS: 3-contact sequence. VP Sales (Day 1/Day 5/Day 9), RevOps Manager (Day 3/Day 7), CRO (Day 6). Each thread distinct. No two people receive the same value prop.

Tracks what lands and sharpens the next batch

Reply rates, open rates, and positive response rates are tracked per signal type — not per rep. After 30 days, the agent surfaces which account triggers, which copy angles, and which personas are converting. A VP Sales hire outperforming a funding round trigger gets weighted higher in the next batch. Copy that's generating replies gets extracted as a pattern and applied to similar accounts. The system gets more accurate over time as the feedback loop closes. Most personalization tools generate copy and stop. This one measures and improves.

Example: Last 60 days: VP hire trigger — 22% reply rate. Funding trigger — 11%. RevOps persona — 28% positive. CRO persona — 9%. Trigger and persona weights updated for next batch.

Today vs. with

Personalized Outbound

Today

• Rep spends 20 minutes researching before writing one email. Most emails still feel generic.
• Same value prop sent to VP Sales, RevOps, and CRO at the same account.
• No feedback loop — rep can't tell which personalization approach is working.
• Follow-ups repeat the opener with different subject lines.

With ABM Strategist

• Research runs across the full list automatically. Every email references a real account event.
• Each persona gets a distinct angle matched to their role and the specific signal that triggered outreach.
• Reply rates tracked by trigger type and persona. Weights adjust automatically each batch.
• Each follow-up builds on prior touch, adds new context, and references progression.

Works with

• Signal-Based Outbound
  Fires outreach when a signal crosses threshold. Personalized Outbound handles the copy; Signal-Based Outbound handles the timing.
• Multi-Channel Sequencing
  Extends personalized outreach across email, LinkedIn, and phone in a coordinated sequence.
• Research Analyst
  Runs deep account research on high-priority targets before personalized outreach goes out.
• ABM Strategist
  Uses Personalized Outbound copy as one channel in a full ABM campaign including ads and briefing docs.

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.

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

• How is this different from AI email tools like Lavender or Amplemarket?
• Can I set guardrails on what gets referenced in emails?
• Does it work for existing pipeline or just net-new outbound?
• How long does a batch take?

Every rep does their best research once. This does it for every account, every time.