ABM Automation System — Hyper-Personalized Outreach Strategy

Overview

Asymmetric has developed a multi-stage ABM automation pipeline that generates hyper-personalized outreach strategies for target accounts at scale. The system produces two artifacts per account — a Research Doc and a Strategy Doc — and loads all accounts as deals into a dedicated HubSpot pipeline. As of early 2026, 90+ accounts have been processed, with the system actively expanding to additional clients.

This was first demoed internally during a mid-week check-in between Mark and Melissa in April 2026, where Mark walked through the full workflow using Dupaco as a live example.

How It Works

Stage 1 — Research Doc

For each target account, an automated scraping and research process generates a structured document covering:

• Company overview — financial snapshot, size, industry context
• Technology & operations — current tech stack, operational signals
• Recent news — timely hooks for outreach
• Pain point hypothesis — inferred challenges relevant to Asymmetric's services
• Buying committee — identified contacts with names, roles, and emails
• Personalization hooks — specific talking points tailored to each contact
• Coverage gaps — areas where the prospect is underserved

"I've made 90 of these. And they're amazing." — Mark Hope

No ZoomInfo was used for initial research; data was scraped and compiled programmatically. ZoomInfo's Enrich feature is planned as a secondary enrichment pass once accounts are loaded.

Stage 2 — Strategy Doc

A strategy document is generated for each account, translating the research into an actionable outreach plan:

• Contact priority order — who to reach first and why (e.g., COO before VP of Marketing)
• Day-by-day sequence — specific touchpoints mapped to days (Day 0, Day 4, Day 7, Day 9, Day 14)
• Channel mix — email and LinkedIn connection requests
• HubSpot-ready email copy — fully written, personalized templates ready to paste and send
• Cadence notes — guidance on tone, timing, and follow-up logic

Example sequence structure (Dupaco):
| Day | Action | Contact |
|-----|--------|---------|
| 0 | Email 1 | Matt Dodds (COO) |
| 4 | Email 2 | Matt Dodds |
| 7 | LinkedIn connection | Matt Dodds |
| 9 | Email 1 | Leo (secondary contact) |
| 14 | Follow-up | TBD |

HubSpot Implementation

• All 90+ accounts are created as deals in a dedicated ABM pipeline in HubSpot
• Research docs are attached directly to each deal record
• Deal stages can be moved as outreach progresses
• Contact records for primary and secondary contacts are migrated into HubSpot alongside the deals

Email Automation Consideration

The team is actively working on automating email sends. The key constraint: emails must appear to come directly from a sales rep, not as marketing blasts. This rules out standard HubSpot marketing email workflows and requires a solution that sends from a personal inbox while still being triggered programmatically.

"We want it to look like he wrote them and sent them." — Mark Hope

Current Clients & Scalability

The system was built initially for Aviary and is being replicated for:

• Paper Tube — in progress, nearly complete
• Citrus America — identified as a strong fit
• Cora Stone — CEO expressed interest in deep ABM engagement after a recent lunch meeting

The process is well-suited for any B2B client with a defined target account list and a sales team capable of executing personalized outreach.

Related

• ^[1] — first client this system was built for
• ^[2] — second client, replication in progress
• ^[3] — identified as next candidate
• ^[4] — CEO interest noted
• ^[5] — pipeline structure used for ABM accounts
• ^[6] — open question on automating sends from rep inboxes

Open Questions

• [ ] How do we automate email sends while preserving the appearance of personal, rep-sent messages?
• [ ] When does ZoomInfo Enrich get run as a secondary pass on existing accounts?
• [ ] What is the ongoing maintenance cadence for research docs as account situations change?