Privacy by design
A first-party cookie on your own domain, no fingerprinting and no cross-site tracking. No personal data left in URLs. Privacy is a selling point, not a patch.
You describe what you want in one sentence. The AI reads your page, writes the new version, creates the conversion goals and puts the test live. Anyone runs advanced A/B tests, no code and no agency, for a fraction of what the giant suites charge.
Paste your page link and say the goal in plain English. The AI reads the page, writes the new version, creates the conversion events and leaves the test ready for you to approve. What would take a CRO specialist, here the AI does in seconds.
Paste the URL and say the goal in one sentence, like "more leads".
It writes version B and creates the conversion goals. No code, no selectors.
Review, tweak if you want and publish. Bayesian stats pick the winner.
A/B testing is usually too amateur (guesswork and spreadsheets, you change the page and hope) or too expensive (heavy suites charging hundreds of dollars a month for a pile of things you never use). Donnu joins the two ends nobody joins: an AI that does a specialist's work and the rigor of the big platforms, at a price that looks like a typo.
What would take a technical team, here you do alone in minutes: build the variation, target the right audience and measure what matters. Without writing a single line of code.
Click any text, image or button on your own site and build the variation on the spot: change copy, color, size, hide, reorder. The editor opens on your real page, exactly as it is.
Filter which pages enter the test by URL and target only the audience that matters. Everyone else keeps seeing the original page, without polluting your numbers.
From the click on your buy button to an event fired by your server: you set one primary goal that decides the winner and secondary goals that track the full picture.
Ready-made KPIs, a plain-language verdict, and charts anyone can read: daily volume, trend, and the decision timeline. Filter the period in one click and, on Pro, slice by device, traffic source, and visitor type, with a ready-made read per segment.
Step-by-step wizard, tooltips that explain the why, and reports in plain language. The vanguard of A/B testing on the outside, radical simplicity on the inside: any marketer builds, launches and reads the test alone.
One line on your site, once. We have instructions for WordPress, Shopify, GTM, Wix, and code. We verify the install for you automatically.
Define the variations, the traffic split, the targeting, and the goals in a guided wizard. Publish with one click, with no redeploy of your site.
Follow along in near real time. When there is real evidence, Donnu calls the winner with a probability and a confidence interval. Then you just apply it.
We built Donnu on the principle that your data and your visitors' data are untouchable.
A first-party cookie on your own domain, no fingerprinting and no cross-site tracking. No personal data left in URLs. Privacy is a selling point, not a patch.
Multi-tenant with row-level security from day one. Each account sees only its own data, validated by a security audit and penetration testing.
If our infra is slow, the visitor sees the original page and is left out of the experiment. We never blank out your page because of us.
Unique counting on the server, dedupe, sample ratio mismatch (SRM) alerts. A winner is only declared when the evidence holds.
Try any plan free for 14 days. You add a card to start, but you are only charged on day 15 and can cancel anytime, in one click.
To validate your first hypotheses with method.
To scale your tests with fine-grained targeting.
Tailored for larger operations.
| Feature | Standard | Pro | Enterprise |
|---|---|---|---|
| Monthly price | US$ 29 | US$ 49 | Custom |
| Sessions per month (across all tests) | 50,000 | 300,000 | Custom |
| Experiments running at once | 2 | 3 | Unlimited |
| Variations per experiment | A/B (2) | A/B/C (3) | Unlimited |
| Metrics per experiment | 2 | 3 | Unlimited |
| Connected domains | 1 | 2 | Unlimited |
| Team members | 2 | 4 | Unlimited |
| Advanced targeting (device, UTM, visitor, tags, scheduling) | โ | โ | โ |
| Pro report: segment filters, Segments card and the decision timeline | โ | โ | โ |
| Split URL + 9 goal types | โ | โ | โ |
| Bayesian report (probability, CI, SRM) | โ | โ | โ |
| Privacy-first security and per-account isolation | โ | โ | โ |
| Support | Self-service | Self-service | Dedicated onboarding |
Equivalent tools charge hundreds of dollars a month. Donnu delivers the core with the same rigor for a fraction of that.
There is no permanent free plan, but you get 14 days free on any plan, with full access. The first charge is only on day 15. Cancel anytime, no penalty.
Yes. We ask for a card up front so there is no friction when the trial ends, but nothing is charged in the first 14 days. Cancel before day 15 and you pay nothing. Billing is processed securely by Stripe.
No. You paste a snippet once, with ready-made instructions for WordPress, Shopify, Google Tag Manager, Wix, or code. Everything else happens in the dashboard, step by step.
Yes, on any site where you can add a script to the HTML. It covers the root domain and all the subdomains you register.
Yes. A first-party cookie on your domain, no fingerprinting and no cross-site tracking. Accounts are isolated with row-level security, with a security audit and penetration testing. Privacy is part of the project, not an add-on.
With Bayesian statistics: we compute the probability of each variation beating the control and only declare a winner when the evidence is sufficient (a minimum of visitors, days, and a distribution check). No p-value theater and no encouraging early decisions.
Yes. It is monthly with no lock-in. You stay in control of your account and your experiments.
Full access for 14 days, no charge. You only pay on day 15, if you continue. Cancel anytime.
Complete guides on CRO, A/B testing and experimentation, the most thorough articles on the internet.
GrowthBook vs PostHog compared by criterion: statistics engine, self-hosting weight, SDK role, data source, and which team profile each one actually fits.
Read article โ A/B TestingHow many visitors an A/B test needs, with a full reference table by baseline rate and effect size, the arithmetic behind it, and what to do on low traffic.
Read article โ StatisticsWhat minimum detectable effect means, how to pick an MDE you can defend, absolute versus relative, and what your traffic can actually resolve.
Read article โUse them right in the browser, no sign-up. The same math Donnu runs under the hood, with every formula explained.
Paste visitors and conversions for A and B and see if the result is real: p-value, lift and a plain-language verdict.
Use the calculator โHow many visitors per variation your test needs to detect the lift you are looking for, before you start.
Use the calculator โHow many days the test needs to run and when it ends, from your rate, target effect and traffic.
Use the calculator โ