AI SDR experimentation engine

Outbound Lab tests audience, channel and message variants in parallel.

Your SDR runs one playbook.
Our AI runs the tournament.

It optimizes for one outcome: booked, qualified meetings.

✓ Qualified meetings, not vanity metrics✓ Every branch tested independently✓ Winners keep getting challenged
Best for B2B teams with a defined ICP.
How it works
Generate → test → promote → challenge.
Continuous optimization
Test. Learn. Beat the winner.
01
Generate
02
Test
03
Promote
Then challenge it again.
LEARN → RETEST
Illustrative example

See the experiment branch.

CV-screening SaaS → recruiting teams · example data

Audience → channel → message → winner. The same engine works for any B2B ICP.

Audience test

Test the audience.

Test two buyer segments and let qualified meetings decide.

Audience A/B test
A
Audience A
Atlas · parent branch
Option A

Talent Acquisition Leaders

High-growth tech companies.

B
Audience B
Milo · parent branch
Option B

HR Operations Leaders

High-volume hiring companies.

Channel test

Test the channel.

Each audience splits into email vs. LinkedIn.

Channel tests — children of the audience branches
Children of Atlas
Email variant
Vega · child of Atlas

Email-first

Atlas → Email

LinkedIn variant
Lumi · child of Atlas

LinkedIn-first

Atlas → LinkedIn

Children of Milo
Email variant
Kai · child of Milo

Email-first

Milo → Email

LinkedIn variant
Rex · child of Milo

LinkedIn-first

Milo → LinkedIn

Message test

Test the message.

Each channel tests two message hypotheses.

Message tests — children of the channel branches
Children of Vega
A
Message A
Nova · child of Vega

Reduce screening time

B
Message B
Pixel · child of Vega

Better-fit candidates

Children of Lumi · same pattern
A
Message A
Echo · child of Lumi

Reduce screening time

B
Message B
Orbit · child of Lumi

Better-fit candidates

Children of Kai · same pattern
A
Message A
Poppy · child of Kai

Reduce screening time

B
Message B
Ruby · child of Kai

Better-fit candidates

Children of Rex
A
Message A
Sprout · child of Rex

Reduce screening time

★
Message B
Bolt · child of Rex

Better-fit candidates

Results

See what wins.

Rank every path by booked, qualified meetings.

Illustrative results · Qualified meetings

1
★
HR Ops → LinkedIn → Message B
Bolt · illustrative
0
2
TA Leaders → Email → Message A
Nova · illustrative
0
3
HR Ops → Email → Message B
Ruby · illustrative
0
4
HR Ops → LinkedIn → Message A
Sprout · illustrative
0
Challenge

Then try to beat it.

The winner becomes the baseline for the next test.

★
HR Ops → LinkedIn → Message B
Champion · Bolt · 47 meetings

Current baseline

Every new variant has to beat this.

VS
C1
New CTA + timing variant
Challenger · Juno

New hypothesis

If it wins, it becomes the new baseline.

Before you run it

Three things to know.

The essentials, without the sales pitch.

Does it work with my stack?

Yes. It is designed to work with your existing outbound tools and workflow.

Who controls the messaging?

You set the positioning and guardrails; the AI generates the variants.

What counts as qualified?

You define the criteria before launch. The leaderboard only rewards meetings that match them.

What about channel rules?

Execution stays within the policies and limits of the connected channels and tools.

See it on your ICP

What would your leaderboard look like?

Send us your product and target audience. We’ll map the first test tree.

One ICP + one outbound motionAI-generated variantsQualification rules set upfront
Within 2 business days, we’ll send your custom experiment-tree outline.
Thanks — we’ll be in touch with your custom experiment-tree next steps.