Frequently asked questions
What's the right division of labor between AI and humans in outbound?
AI: list building, signal interpretation, draft generation, CRM updates. Humans: ICP refinement, message approval, relationship moves, exception handling. The mix shifts toward AI over time, but the human exception layer doesn't disappear.
Does AI-driven outbound improve reply rates?
On personalized first-touch emails: yes, by 30 to 60 percent when AI surfaces account-specific facts and a human edits the draft. On fully AI-written outreach with no human edit: reply rates trend lower than baseline.
What's the biggest mistake teams make adopting AI for outbound?
Removing human review too fast. The first three months should treat the AI as a junior SDR. Every draft reviewed, every CRM update verified. Once trust is calibrated, you can remove checkpoints selectively.
How much can AI-driven outbound scale a sales team?
Realistic 2 to 3x output per SDR without quality loss. Claims of 10x usually mean someone is sending 10x the volume with 10x the spam rate.
Where does Landbase fit in AI-driven outbound?
As the data and signal layer that AI agents read from. Landbase doesn't replace the sequencer or the SDR seat. It makes both work better by feeding them clean, scored, current account context.
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