---
title: ABM Campaign — AI-Generated Research & Strategy (Feb 2026)
type: article
created: '2026-02-09'
updated: '2026-02-09'
source_docs:
- raw/2026-02-09-impromptu-zoom-meeting-120957196.md
tags:
- papertube
- abm
- orbit-abm
- ai-tools
- salesforce
- account-engagement
- campaign
layer: 2
client_source: Paper Tube Co
industry_context: ecommerce
transferable: false
---

# ABM Campaign — AI-Generated Research & Strategy (Feb 2026)

## Overview

In February 2026, Mark ran an AI agent over several hours to generate a comprehensive set of research and strategy documents for PaperTube's ABM campaign. The agent produced **250 research documents** and **250 strategy documents** — one pair per target company — covering company intelligence, contact prioritization, and personalized outreach sequences.

Documents are stored in a shared Google Drive folder (`Projects > ABM`) and partially loaded into Salesforce. The next step is ingesting the email sequences into Salesforce Account Engagement (Pardot) and validating the output with Parag before full campaign launch.

This work is being managed within the [[wiki/tools/orbit-abm|Orbit ABM]] platform, which is purpose-built to handle the complexity of multi-target ABM campaigns.

---

## Document Types

### Research Documents (250)

Each research document covers one target company and includes:

- Company name, website, headquarters, founding date
- Revenue estimate and employee count
- Industry classification
- Recent product launches, rebrands, or packaging changes
- Sustainability commitments
- Current packaging and distribution strategy
- Brand positioning and growth signals
- Key contacts and their roles
- **Custom intelligence section:**
  - Current packaging pain points
  - Matching PaperTube case studies
  - Sustainability angle
  - Personalization hooks
  - Hypothesis for why now
  - Best entry angle
  - Source citations

### Strategy Documents (250)

Each strategy document is paired with its corresponding research document and includes:

- Campaign strategy summary
- Primary entry point (recommended first contact)
- Secondary targets
- Contacts to avoid leading with, and why
- Salesforce-ready contact intelligence
- Suggested additional targets
- Outreach sequence (who to contact and when)
- Cadence notes
- **Fully personalized email sequences** for each target, ready for ingestion into Account Engagement

---

## Current Status

| Item | Status |
|---|---|
| Research documents (250) | ✅ Generated, in shared Google Drive |
| Strategy documents (250) | ✅ Generated, in shared Google Drive |
| Campaigns in Salesforce | ✅ Loaded |
| Contacts in Salesforce | ✅ Loaded |
| Email sequences in Account Engagement | ❌ Not yet ingested |
| Parag review / validation | ⏳ Pending — samples to be sent |
| Documents ingested into Orbit ABM | ⏳ In progress |

---

## Key Decisions

- **Parag will pilot the campaign himself first.** He expressed low confidence in his sales team and wants to run the initial outreach personally, refine the process, then hand it off with clear A-to-Z instructions.
- **Validation before full rollout.** Karly will send Parag 2–3 sample research + strategy documents for review before any campaign activity begins. If he approves, the full 250-pair set will be rolled into Orbit ABM campaigns.
- **Account Engagement for email sends only.** Salesforce Account Engagement is the designated platform for sending the personalized email sequences, but all campaign management, playbooks, and activity tracking will live in [[wiki/tools/orbit-abm|Orbit ABM]].

---

## Action Items

- [ ] **Karly** — Email Parag 2–3 sample research + strategy documents for review and approval
- [ ] **Mark** — Develop method to bulk-ingest 250 personalized email sequences into Salesforce Account Engagement
- [ ] **Mark** — Migrate all 250 document pairs into Orbit ABM for campaign management

---

## Process Notes

The documents were generated by an AI agent that ran autonomously for several hours. Mark described the output quality as genuinely impressive — each document contains real company names, specific contact rationale, and packaging-specific intelligence tailored to PaperTube's value proposition. What would have taken a human researcher significant time per company was produced at scale overnight.

> "I created an agent that just ran for a couple hours and we've got 500 documents. And when you go look at them, they're amazing — each document has the names of people and why we should talk to that person and why we shouldn't talk to this other person and what we should lead with." — Mark Hope

---

## Related

- [[wiki/tools/orbit-abm|Orbit ABM Platform]]
- [[wiki/tools/client-brain|Client Brain (RAG Database)]]
- [[wiki/clients/current/papertube/_index|PaperTube Client Overview]]
- [[wiki/meetings/2026-02-09-impromptu-zoom-org-structure-staffing-ai-tools|Feb 9 2026 Impromptu Zoom — Org Structure, Staffing & AI Tools]]