Answer the question. Then run the campaign.

For B2B SaaS teams. Three questions one experiment can answer, each tested against a threshold that comes from your own economics. The answer can be yes, no, or too close to call, and all three are worth knowing. When it’s yes, the same platform runs the campaign for real.

01 / ICP discovery

Does this ICP respond?

You have three segments that could plausibly buy. Pick one, test it against a target you set before sending, and get a yes or a no in weeks.

Find the ICP that actually responds →

02 / Offer validation

Does this offer work?

Same segment, one promise. Find out whether the market reacts to it before you build a page, a pricing tier or a sales deck around it.

Find out if your offer gets a response →

03 / Feature validation

Does our ICP need this?

Describe the problem the feature solves as an offer, send it to the people who'd use it, and let the replies tell you whether to build.

Find out if your ICP needs a feature before you build it →

After the verdict

It works. Now run it.

A verdict is only worth having if you can act on it. When an experiment works, the same segment, offer and checks keep running as a fully automated campaign: sourcing, enrichment, writing, sending and monitoring in one place.

Scale what works →

The same rules for every question

Write the hypothesis and the target before sending. Prove delivery before reading replies. Sample companies nobody has emailed. Read the verdict once, at the planned sample. The playbook spells out every step, for you and for your AI agent.

Read the Experiment Playbook

Pick a question and start

Create an account, write one hypothesis, and set the target before you send.

Start your first experiment