See the experiment branch.
Audience → channel → message → winner. The same engine works for any B2B ICP.
Outbound Lab tests audience, channel and message variants in parallel.
It optimizes for one outcome: booked, qualified meetings.
Audience → channel → message → winner. The same engine works for any B2B ICP.
Test two buyer segments and let qualified meetings decide.
High-growth tech companies.
High-volume hiring companies.
Each audience splits into email vs. LinkedIn.
Atlas → Email
Atlas → LinkedIn
Milo → Email
Milo → LinkedIn
Each channel tests two message hypotheses.
Rank every path by booked, qualified meetings.
The winner becomes the baseline for the next test.
Every new variant has to beat this.
If it wins, it becomes the new baseline.
The essentials, without the sales pitch.
Yes. It is designed to work with your existing outbound tools and workflow.
You set the positioning and guardrails; the AI generates the variants.
You define the criteria before launch. The leaderboard only rewards meetings that match them.
Execution stays within the policies and limits of the connected channels and tools.
Send us your product and target audience. We’ll map the first test tree.