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REVENUE_GEN

Account & personalization

Every account on your target list comes back with a research brief, the recent trigger events worth referencing, and a draft personalization line your reps can actually use. Outbound stops sounding like outbound.

Overview

Personalization in B2B outbound has been a lie for a decade. "Hi {first_name}, I noticed you work at {company_name}" is not personalization. It's a mail merge wearing a costume. Real personalization, the kind that actually moves reply rates, requires reading the company's last earnings call, scanning the prospect's last six months of LinkedIn activity, watching for the trigger event that made this week the right week to reach out. Most reps don't have time. The reps who do have time spend it on twelve accounts, not two hundred.

This agent does the reading. For every account on your target list, it pulls company research, summarizes the website and LinkedIn signal, surfaces recent trigger events, funding, hiring, leadership changes, product launches, regulatory shifts, and drafts a personalization line your rep can paste into the first message. The brief is one screen. The personalization line is one sentence. Reps stop staring at a contact list with nothing to say. Outbound starts sounding like a human who actually did the homework.

Capabilities

  • Researches every target account across website, LinkedIn, news coverage, earnings transcripts, and 10-K filings where applicable, surfacing what's actually relevant for outbound
  • Summarizes company context in a one-screen brief: what they do, who they sell to, recent strategic shifts, current leadership, and the angle most likely to land
  • Collects trigger events from the last 90 days, funding rounds, hiring sprees, leadership changes, product launches, partnership announcements, regulatory or competitive moves, and ranks them by outbound relevance
  • Pulls contact-level signals on every prospect: role tenure, recent posts, recent job changes, mutual connections, conference attendance
  • Drafts a personalization line per prospect, one sentence, ready to paste, that references something specific, recent, and credible
  • Refreshes briefs on a cadence so the research stays current and the trigger events stay timely

Example Output

Account brief, Vanta Bio

Company: Vanta Bio · Series B biotech · ~210 employees · San Francisco, with R&D site in Cambridge MA · Founded 2019

What they do: AI-driven small molecule discovery platform, focused on oncology and rare diseases. Sell into pharma R&D groups (Phase I/II partnerships) and academic medical centers.

Recent strategic context: Closed $48M Series B in February led by ARCH Venture Partners. CEO has been public on LinkedIn about scaling the platform team and moving from a research-org culture to a productized-platform culture. They're in build mode, not exploration mode.

Trigger events (last 90 days, ranked by outbound relevance):

1. Series B announcement (Feb 14), fresh budget, hiring across platform engineering, RevOps, and commercial

2. New VP of Engineering hired from Recursion (Mar 8), likely re-evaluating the platform stack in his first 90 days

3. CEO posted on LinkedIn (Apr 22) about the gap between "research velocity" and "platform reliability", direct buying signal for our category

4. Posted three open roles in RevOps and revenue infrastructure (Apr 28), go-to-market is being formalized

Recommended angle: Lead with the CEO's "research velocity vs. platform reliability" frame. That language is in his head this quarter. Anchor outbound around how peer biotechs at the same stage solved the same gap.

Contact-level personalization, Daniel Park, Director of Engineering

Tenure: 14 months at Vanta Bio. Previously 4 years at Genentech in computational biology platforms.

Recent signal: Posted on LinkedIn 11 days ago about hiring two ML platform engineers and the difficulty of finding people who understand both ML infra and lab data. Reposted his CEO's "research velocity" post with the comment "this is the work."

Personalization line, drafted, ready to paste:

"Saw your repost of Maya's research-velocity-vs-platform-reliability piece, the work you described in your hiring post is exactly the gap most Series B biotechs are sitting on right now. Worth 20 minutes if you want to compare notes on how a few of the others are solving it."

Agent Workflow

Step 01

Load the target account list

The agent receives the list of accounts to research, either from a connected list-build agent, a CRM segment, or a CSV upload. Each account enters the queue with whatever context already exists (industry, size, owner, prior touches).

Step 02

Pull primary company sources

The agent fetches the company website, LinkedIn page, recent press, blog content, and where applicable, earnings transcripts and SEC filings. The raw material gets normalized before any summarization happens.

Step 03

Identify trigger events

The agent scans the last 90 days for events that matter for outbound: funding rounds, leadership changes, hiring patterns, product launches, partnership announcements, regulatory shifts, and competitive moves. Each event is ranked by recency and relevance.

Step 04

Read the public signals from leadership

The agent reads recent LinkedIn posts, podcast appearances, and conference talks from the company's leadership team. The point isn't to summarize their LinkedIn. The point is to find the language they're using right now, the words and frames already in their heads.

Step 05

Build the account brief

The agent generates a one-screen brief: what the company does, current strategic context, ranked trigger events, and the recommended angle for outbound. The brief is short on purpose. Reps don't read 12-page reports; they read what fits on one screen between calls.

Step 06

Pull contact-level signals

For each prospect on the account, the agent collects role tenure, recent activity, recent job changes, and any public statements that suggest what's on their mind this quarter. The signal that matters most is the most recent and the most specific.

Step 07

Draft the personalization line

The agent writes a single personalization sentence per prospect, anchored to something real and recent. The draft is ready to paste, doesn't read like a mail merge, and references the prospect's actual context, not "I noticed you work at."

Step 08

Deliver and refresh

The brief and personalization lines land where the rep works: CRM record, sequence enrollment, sales engagement platform, or a structured email digest. The agent re-runs on a cadence, typically 30 days, so the research stays current and stale signals get replaced.

Go live in days

AI for work, that just works.