
THE brıef
Most email campaigns underperform because they're built on shallow segmentation: industry, company size, and a few custom fields. The agent builds campaigns from richer data — intent signals, engagement history, deal stage, tech stack, and lifecycle position — so each campaign reaches a segment that actually shares a common situation. The copy is written to match. The result is higher open rates, more replies, and less list fatigue from sending the same message to everyone.
Today
Email campaigns are built on broad segments (industry + company size), sent to thousands, and produce 1–2% reply rates.
Bounce management, unsubscribe suppression, and timing optimization are manual — or not done at all.
Campaign performance is reviewed as aggregate open/reply rates — no breakdown by email step or copy variant.

With ABM Strategist
Campaigns are built on rich 4–8 attribute segments, producing 6–10% reply rates from targeted lists that share an actual common situation.
Delivery management is automated end-to-end: send time optimization, bounce suppression, and deliverability monitoring maintained throughout.
Every campaign generates a structured performance report by step, variant, and segment attribute — feeding the next campaign's setup.
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.

Which email platforms does the agent integrate with?
Can we run A/B tests on subject lines and email copy?
How does it handle opt-outs and compliance across regions?
Can the agent build campaigns for existing customers as well as prospects?






