10,000+
experiments a year at each of Microsoft, Amazon, Booking.com, Facebook and Google.
Harvard Business Review, 2017Now on the Stripe App Marketplace
AI agents that automaticallyincrease MRR, reduce churn, increase CTR, lift conversions, raise trial-to-paid, grow order value
Outtest reads your analytics and payment data, finds where you lose customers, then designs, launches and monitors split tests on your site, pricing and ads. It keeps the winners.
Read-only access to your data. Cancel any time.
Trusted by
Mockingbird
1,000+
experiments running at the same time at Booking.com, every day.
Booking.com engineering paper, 20178 in 10
experiments at Google and Bing don't win. Even the best teams can't guess, so they test.
Harvard Business Review, 2017+12%
revenue from one Bing ad headline test that had been marked low priority. Over $100M a year in the US.
Harvard Business Review, 201710,000+
experiments a year at each of Microsoft, Amazon, Booking.com, Facebook and Google.
Harvard Business Review, 20171,000+
experiments running at the same time at Booking.com, every day.
Booking.com engineering paper, 20178 in 10
experiments at Google and Bing don't win. Even the best teams can't guess, so they test.
Harvard Business Review, 2017+12%
revenue from one Bing ad headline test that had been marked low priority. Over $100M a year in the US.
Harvard Business Review, 2017Step 1 of 3
Connect in two minutes
Paste your URL, then connect analytics and payments in about a minute each. Access is read-only.
https://yourwebsite.com
PostHog
Analytics
Plausible
Analytics
Stripe
Payments
Shopify
Payments
Read-only access. Nothing on your accounts changes.
Start your first test
Setup takes a few minutes. No code to write.
Visitors don't sign up? It tests the page. Trials don't pay? It tests pricing and the trial itself.
Judged on revenue, not clicks
Most testing tools stop counting at the signup. Outtest follows every visitor through to payment, so a new version only wins if it brings in more money.
It finds the step losing you the most money and ranks the tests that could fix it.
- Landing page
- Pricing copy
- Button placement
- Trial vs no trial
- Cancel flow
- Onboarding copy
- Page layout
- Meta ad copyComing soon
- Google SEOComing soon
- AI SEOComing soon
Every site and pricing test is judged on revenue from your payment tool. Ad and search tests are coming soon, for sites without much traffic.
Find your first test
Outtest reads your site and suggests what to test first.
Public posts on X about what split testing taught them, from sign-up forms to book covers.
levelsio
@levelsio
🧪 I just built a mini A/B testing system today to improve the conversion of my sign up modal, here's how I made it and what I learnt: 👇 h
337 likesJun 2020
levelsio
@levelsio
Neil Patel has a simple A/B test significance calculator, you add the numbers in there and it'll tell you if it's actually not random what you're seeing: In this case, it's statistically significant that the modal with the testimonial converts better 🥳
46 likesJun 2020
MrBeast
@MrBeast
Seems like it, here’s more results. Now that I can actually A/B test thumbnails I don’t have to guess and I just test and see what people want. My mouth would have closed years ago if I had this tool 😭
13,681 likesSep 2023
Ronny Kohavi
@ronnyk
Many think that "41 shades of blue" was an example of analysis-paralysis, including @tomfishburne recently at The reality is that color scheme optimization was a huge win at both Google and Microsoft/Bing. See my Quora answer at
25 likesOct 2019
levelsio
@levelsio
🧪 I just built a mini A/B testing system today to improve the conversion of my sign up modal, here's how I made it and what I learnt: 👇 h
337 likesJun 2020
levelsio
@levelsio
Neil Patel has a simple A/B test significance calculator, you add the numbers in there and it'll tell you if it's actually not random what you're seeing: In this case, it's statistically significant that the modal with the testimonial converts better 🥳
46 likesJun 2020
MrBeast
@MrBeast
Seems like it, here’s more results. Now that I can actually A/B test thumbnails I don’t have to guess and I just test and see what people want. My mouth would have closed years ago if I had this tool 😭
13,681 likesSep 2023
Ronny Kohavi
@ronnyk
Many think that "41 shades of blue" was an example of analysis-paralysis, including @tomfishburne recently at The reality is that color scheme optimization was a huge win at both Google and Microsoft/Bing. See my Quora answer at
25 likesOct 2019
Ali Abouelatta
@abouelatta_ali
At @duolingo, we ran 100s of A/B tests on our notifications. We learned a ton from these experiments. Here are our top 5 tips for writing copy that converts to DAUs 🧵
143 likesSep 2022
Noah Kagan
@noahkagan
My friend @nevmed wrote a tweet about how I “split tested” my way to the color of the cover for Million Dollar Weekend. Here's a deep dive into how we used A/B testing and data to iterate our way to the current cover (and how you can apply it for your business). 1- Finish
259 likesFeb 2024
Adam Lyttle
@adamlyttleapps
I have a confession: Part of my intention promoting this paywall last year was to normalize weekly subscriptions Sorry, not sorry. I noticed the trend early in the year and tested it out for myself The result: Users preferred weekly subscriptions (better conversions) and it
119 likesAug 2025
Ali Abouelatta
@abouelatta_ali
At @duolingo, we ran 100s of A/B tests on our notifications. We learned a ton from these experiments. Here are our top 5 tips for writing copy that converts to DAUs 🧵
143 likesSep 2022
Noah Kagan
@noahkagan
My friend @nevmed wrote a tweet about how I “split tested” my way to the color of the cover for Million Dollar Weekend. Here's a deep dive into how we used A/B testing and data to iterate our way to the current cover (and how you can apply it for your business). 1- Finish
259 likesFeb 2024
Adam Lyttle
@adamlyttleapps
I have a confession: Part of my intention promoting this paywall last year was to normalize weekly subscriptions Sorry, not sorry. I noticed the trend early in the year and tested it out for myself The result: Users preferred weekly subscriptions (better conversions) and it
119 likesAug 2025
Ali Abouelatta
@abouelatta_ali
At @duolingo, we ran 100s of A/B tests on our notifications. We learned a ton from these experiments. Here are our top 5 tips for writing copy that converts to DAUs 🧵
143 likesSep 2022
Noah Kagan
@noahkagan
My friend @nevmed wrote a tweet about how I “split tested” my way to the color of the cover for Million Dollar Weekend. Here's a deep dive into how we used A/B testing and data to iterate our way to the current cover (and how you can apply it for your business). 1- Finish
259 likesFeb 2024
Adam Lyttle
@adamlyttleapps
I have a confession: Part of my intention promoting this paywall last year was to normalize weekly subscriptions Sorry, not sorry. I noticed the trend early in the year and tested it out for myself The result: Users preferred weekly subscriptions (better conversions) and it
119 likesAug 2025
Public posts about split testing in general. Showing them doesn't mean these people use or endorse Outtest.
If a test hasn't cleared all three after six weeks, Outtest calls it a draw, keeps your original and moves on to the next idea. Nothing ships because of one lucky week. These are the starting bars. Once your traffic and payments come in, Outtest sets them to fit your site automatically, and you can move all three in Settings.
7 days
Every test runs at least a full week, and until each version has enough visitors to trust.
90%
The new version needs a 90% chance of beating the original.
+10%
And a lift of at least 10%. Smaller wins aren't worth the change.
Letting software change your live site is a big ask. These are the rules Outtest works by, on every plan.
Read-only data
Outtest can read your payments and analytics. It can't move money, issue refunds or edit your account.
You approve every test
Nothing goes live until you say yes. Winners ship on their own once they clear your bars, and the weekly email says what changed.
No made-up claims
Every new version is checked before launch. Agents can't invent a discount, a guarantee or a review.
Lift in money, not just percent
A small share of visitors always sees your original site, so Outtest can show what the winners earned.
Put the agents to work
You approve every test before it goes live.
Pick how many tests you want each month
Every plan gets every feature. The only difference is how many tests go live each month.
Every plan includes
- One site
- Every agent
- Website, pricing, onboarding and cancel flow tests
- Results judged on revenue
- Weekly email report
- Cancel any time
Not sure yet? Get started
You pick a plan at the end of setup.
Something else? outtest@sancarmedia.com
What do I need to connect?+
Your website address is enough to start. Connecting analytics (PostHog, Plausible, Mixpanel and others) shows the agents where visitors drop off. Connecting payments (Stripe, Shopify, Paddle, Lemon Squeezy and others) lets them judge tests on paying customers. Each takes about a minute and is read-only. Google Analytics is coming soon.
How do changes reach my site?+
One small script. Paste one line into your site's head, on any platform, including Framer and Squarespace. One-click installs for Google Tag Manager, Webflow, Wix and WordPress are coming soon. Bigger changes, like a new trial length, go through a GitHub pull request you approve.
How much traffic do I need?+
Less than you think, if the tests are bold. With 2,000 visitors a week and a 5% signup rate, a test can detect a 30% lift in about a month. Smaller sites get fewer, bigger tests, plus ad tests where traffic is cheap.
Will it slow my site down?+
The script is small and loads from a global edge network. It picks the version a visitor sees in the browser, with no extra trip to a server.
Can Outtest test Google SEO and AI SEO?+
Not yet. These tests are coming soon. Nobody can show Google or ChatGPT two versions of the same page at once, so Outtest will change a group of pages and leave similar pages alone, then compare Google clicks and mentions in ChatGPT, Claude and Perplexity between the two groups.