A/B testing with virtual audiences

Explore your next
A/B decision.

Two messages. Different perspectives. A sharper next question.

Which message is clearer?

A One workspace. Every invoice.

B Less admin. More time.

Sample data · Virtual preference
Choice	Responses	Share
A	6	30%
B	11	55%
Undecided	2	10%
Neither	1	5%

20 valid responses. 1 failed response excluded. Virtual preference is not conversion or demand.

“It tells me what I get back: time.”

Emma, virtual participant · Generated example

Why B?

It tells me what I get back: time.

Generated example

Fresh eyes on
your next message.

App copy

Website headlines

Ad messaging

How it works

A question in.
A clearer next step out.

01
Shape the audience.
Describe an audience or import a CSV.
02
Compare two messages.
Give both options the same question.
03
Follow the reason.
Read the choices. Ask what’s behind them.

Virtual participants. Real-world validation comes next.

A little context

Curious?
Good place to start.

Are these real people?

No. They are generated virtual participants. Explore with their responses, then validate with real people.

Does preference predict conversion?

No. It describes virtual choices, not measured conversion, causal uplift or demand.

What can I compare today?

Compare two messages, review a concept, collect ratings or ask an open question. Read saved metrics and analysis, then follow up with a participant. Image and file inputs are planned.

Can I use my customer data?

Yes. Import participant profiles from CSV, or describe an audience. Edit profiles anytime. Supplied details and generated assumptions stay distinct.