ABM 1-to-Few Playbook

1-to-few ABM targets a cluster of 10-50 accounts that share a common attribute: same vertical, same stage, same tech stack, same pain. Semi-custom content. Templated-but-personalized outreach. The economics of 1-to-1 applied to a group that looks alike.

When to Run 1-to-Few

Run 1-to-few when:

1. You have 10-50 accounts that share a trait. Same industry, same stage, same tech migration, same regulatory pressure. If the accounts don't cluster naturally, this isn't 1-to-few. It's a list with a label.
2. ACV is 2-5x your average. High enough to justify custom content, not high enough to justify full 1-to-1 research per account.
3. You can write one problem hypothesis for the cluster. "Series B fintech companies migrating off legacy payment rails" is a cluster hypothesis. "Mid-market companies" is not.
4. You have 60 days of capacity. Faster than 1-to-1 but still needs runway. If leadership wants results in 2 weeks, run outbound.

If ACV justifies full 1-to-1, run 1-to-1 instead. If you can't define a shared trait, run outbound with personalization.

1-to-Few vs 1-to-1 vs 1-to-Many