How it works What it tests Results Pricing FAQ Connect your business

AI that continuously experiments to grow your business

Manager.ai connects to your product, analytics and payments, then never stops testing: pricing, checkout, onboarding, SEO, ads. It keeps what wins, rolls back what doesn't, and gets smarter with every result.

Connect your business See how it works
Experiment log Illustrative example

  1. Raise Pro plan from $29 to $39

    +$4,200MRR

    Pro plan price

    $29→$39

  2. Default to annual billing at checkout

    +$2,800MRR

    Customers on annual plans

    18%→41%

  3. Extend free trial from 7 to 14 days

    −$900MRR

    Trial-to-paid, rolled back

    12%→9%

  4. Comparison pages for top competitors

    +$1,600MRR

    Organic signups per month

    40→85

  5. Build and launch a Chrome extension

    +$3,100MRR

    Paying extension usersNew product

    0→310

Added by kept experiments +$11,700MRR

The growth loop that never stops

Most teams run a few experiments a quarter. Manager.ai runs them continuously, and every result makes the next one smarter.

  1. Observe

    Reads your revenue, traffic, funnel and support data to find where growth is leaking.

  2. Hypothesize

    Proposes a specific experiment tied to a goal, with the metric it expects to move and by how much.

  3. Ship

    Builds the change and launches it behind a feature flag, so only a slice of traffic sees it.

  4. Learn

    Keeps the winner, rolls back the loser, and feeds the result into what it tries next. Then it starts again.

What it experiments on

Every lever that moves revenue, tested against real customers instead of guesses.

Pricing and plans
Price points, plan structure, default plans, usage-based models and discounts.
Checkout and trials
Paywalls, trial length, checkout flows and the steps between interest and payment.
Onboarding and funnels
Signup, activation and the first-run experience that decides who sticks around.
SEO and content
New pages, comparison content and blog posts, measured by the traffic and signups they bring in.
Paid ads
Audiences, creative and budgets, shifted toward whatever acquires customers profitably.
Outbound email
Cold outreach to the prospects most likely to buy, with targeting, copy and follow-ups tested against replies and signups.

Refer Me grew revenue 25% in four weeks

Refer Me is a referral marketplace: job seekers request referrals at the companies they want to work for, and verified employees refer them. Manager.ai ran three experiments on it across billing, acquisition and product, and kept all three.

“October has been our best month in a while.”

Refer Me team
Net revenue, four weeks to Oct 25
+25%$6,159 to $7,709
Free trials started
209in 5 weeks on the annual plan
Collected per new member
2.9×$46 to $135, paid upfront
  1. BillingMoved from monthly to annual billing: a $149 yearly plan with a 7-day free trial and three referral requests to try it
  2. AcquisitionLaunched an influencer campaign to reach job seekers where they already spend time
  3. New productBuilt and launched a Refer Me Chrome extension

Pay for what it uses

Manager.ai runs on AI models that bill by the token. You pay the model provider's token price plus 5%, and nothing else.

Token cost + 5%

  • No subscription, seat fees or setup cost
  • Billed monthly for the tokens your experiments used
  • Stop any time, and pay only for what already ran

Example: a month that uses $200 of tokens

Token cost
$200
Manager.ai fee, 5%
$10
You pay
$210
Connect your business

Common questions

Anything else, write to hello@manager.ai.

What kinds of businesses is it for?
Any online business with customers and revenue to grow: SaaS, apps, e-commerce and content sites. The more traffic you have, the faster experiments reach a clear result.
What does it need access to?
Your codebase, analytics and payment provider, plus your ad and email accounts if you want it to experiment there. You choose what to connect.
Could an experiment break my product?
Changes ship behind feature flags to a slice of traffic, with automatic rollback when a guardrail metric drops. Code changes come as pull requests you can review.
Do I have to approve everything?
At first, yes. As Manager.ai builds a track record, you can let it run low-risk experiments on its own and keep approval for the bigger bets.
How is this different from an A/B testing tool?
A testing tool waits for you to come up with ideas and build the variants. Manager.ai comes up with the ideas, builds them, runs them, reads the results and decides what to try next.
Can I see what it's doing?
Every experiment is logged with its hypothesis, the change it made, the result and what it learned. You always know what's live and why.

Connect your business

Tell us where you want to grow. We'll get you connected and your first experiments running.

We keep your submission confidential.