A/B testing, without the part everyone hates
Every visitor who leaves without converting is money you already spent. Describe a test in plain English and RunPivot builds the variants, runs the experiment, calls the winner, and rolls it out. No code, no SDKs, no queue.
RunPivot A/B testing flow showing audience targeting for mobile visitors, a live split test between two checkout CTA variants, and personalization rules that roll the winner out to each segment.
Every A/B testing type
your program needs
RunPivot is not a single-test tool. It is a full experimentation platform: classic A/B, split URL, multivariate, sequential programs, targeting, and the automation that runs them end to end.
| A/B testing type | What you use it for | In RunPivot |
|---|---|---|
| A/B testing | Two variants on the same page. The classic controlled experiment. | Prompt-built or visual editor. Live in minutes. |
| Split URL testing | Compare entirely different page URLs, not just on-page changes. | Set up from a plain-English brief. No redirect gymnastics. |
| Multivariate testing | Test multiple page elements at once to find what combination wins. | RunPivot structures the experiment and handles traffic allocation. |
| Sequential testing | Run tests in sequence, rolling each winner forward before the next starts. | Winners called at 95% confidence. What's next stays queued. |
| Audience targeting | Test for mobile visitors, returning customers, one market, or one campaign. | Describe who in plain language. Targeting configured automatically. |
| Cross-domain testing | Run experiments that span multiple domains in one program. | One script tag, one program view across your properties. |
| Personalization | Show different experiences to different visitor segments based on what won. | Winning variants roll out to the audiences that responded. |
| Guardrail metrics | Protect revenue and core KPIs while a test is running. | Guardrails watched continuously. The line holds. |
Prompt-built variants
Describe the change in plain English. Variants, targeting, and structure come back for your approval.
Visual editor
Hands-on control when you want it. Edit what you can see without touching code.
Auto rollout
Winners ship to 100% of traffic at 95% confidence. Or hold for approval per experiment.
From idea to live
winner in three moves
Prompt it
Type what you want to test. A sharper headline, a new offer, a different layout. RunPivot turns your words into ready-to-run variants.
Test it
Your experiment goes live on your real site in minutes. RunPivot splits traffic, watches results, and holds the line on statistical discipline.
Ship the winner
The moment a result is statistically real, RunPivot calls it and rolls the winner out to everyone. No stale tests running at half traffic.
What changes when
the loop runs itself
Agentic experimentation is the shift from software that helps you run tests to programs that keep running. RunPivot is AI-native, built from the first line for a world where you describe the test and the platform does the rest.
Describe the test in plain English
One sentence is the brief. Variants, targeting, and experiment structure come back in minutes.
Prompt-Built TestsRunPivot watches every experiment
Traffic split, sample size, significance, guardrails. No peeking, no forgotten tests, no false positives.
Agentic ExperimentationWinners roll out automatically
Winning variants ship to 100% at 95% confidence. Set any experiment to wait for approval instead.
See auto rolloutThe next test is already queued
RunPivot tracks what won, what lost, and what hasn't been tried. The gap between experiments closes.
Explore the loopProof arrives ready for the room
Every winner comes with lift, confidence, and revenue impact in a report leadership actually reads.
Revenue-Ready ReportingThe highest-leverage
growth work you can do
A/B testing holds the world constant and isolates your change. When the variant wins, you know the variant caused it. That is the closest thing marketing has to proof.
Doubling conversion doubles revenue from the traffic you already have. The gain is permanent.
Roughly 88% of untested changes do nothing or hurt. A/B testing is about not shipping the losses.
If you are running a program, you are ahead of 99.8% of the web.
Most A/B testing programs die from friction, not lack of ideas. The idea takes five minutes. Everything after used to take five weeks. RunPivot closes that gap so your program compounds instead of stalling at two tests a quarter.
Why agentic
experimentation?
You describe the test. RunPivot is AI-native and closes the loop: launch, monitor, call winners, ship results.
Move faster
Describe the test you want in plain language and it's live in minutes. RunPivot builds the variants and handles the setup, so you go from idea to live experiment the same day.
Test smarter
Run better experiments without the statistics degree. RunPivot picks the right approach, shifts traffic toward what's working, and tells you the moment a result is real.
Scale without compromise
Fast, flicker-free experiences on every page. Run more experiments at once without slowing your site down or losing control of what goes live.
Prove impact
Every experiment ties back to revenue. Clear reporting connects each winner to the numbers your leadership actually cares about, so the value of your program is never in question.
One platform.
Three ways to win.
Prompt-Built Tests
Describe a change in plain language and it becomes a live experiment.
ExploreRun the programAgentic Experimentation
RunPivot runs the program, calls winners, and keeps what comes next moving.
ExploreProve the impactRevenue-Ready Reporting
Every winner comes with lift, confidence, and revenue impact.
ExploreWhat should you
actually test?
When a test costs a sentence, you do not need to guess which of your ten ideas is best. Run them properly, one after another, and let the traffic tell you.
Headlines and value props
Small wording changes here regularly produce the largest lifts because everyone sees the headline.
Calls to action
Copy, placement, and framing. One button quietly costs you leads every day.
Forms and checkout
Every field is friction. Checkout is the most valuable A/B testing ground most businesses own.
Social proof
Reviews, guarantees, and logos near the point of decision, where doubt actually lives.
Pricing presentation
Monthly versus annual emphasis, what is anchored first, how the tiers tell a story.
Mobile experiences
Mobile is most of your traffic and converts at a fraction of desktop. Test it on its own.
Start this week,
not this quarter
You need one page and one idea. The first test proves the workflow. The tenth test is where the compounding starts.
- 1
Pick your highest-traffic page with a conversion problem. Start where the visitors already are.
- 2
Write one hypothesis in one sentence. The change, the expected outcome, the metric.
- 3
Describe it to RunPivot. Variants, targeting, and experiment structure come back in minutes for your approval.
- 4
Let it run to significance. RunPivot holds the line on statistical discipline so you do not have to.
- 5
Ship the winner, read the report, run the next one. The recommendation for test two will be waiting when test one ends.
Comparing A/B testing platforms?
Honest, current comparisons of RunPivot against the major experimentation platforms.
A/B testing FAQ
What is A/B testing in simple terms?
A/B testing shows two versions of a page or experience to different halves of your audience at the same time, then measures which version drives more of the action you want. It replaces opinions with evidence from your real visitors.
What is agentic experimentation?
Agentic experimentation is the shift from A/B testing tools you operate to programs that keep running. You supply the ideas in plain English. RunPivot is AI-native: it builds variants, runs experiments, monitors results, and rolls out winners at statistical significance. No dev queue, no dashboard babysitting.
How is RunPivot different from traditional A/B testing tools?
Traditional platforms give you an editor and a dashboard and leave the work to you: building variants, configuring targeting, watching results, rolling out winners. RunPivot is AI-native. You describe the test in plain English and the platform handles the rest, end to end, with rollout happening automatically at 95% confidence. No code, no SDKs, no dev queue.
How much traffic do I need to A/B test?
Enough to reach statistical significance in a reasonable window, which depends on your conversion rate and how big an effect you're testing for. Lower-traffic sites should test bigger, bolder changes, because large effects need smaller samples to detect. RunPivot calculates what each experiment needs before it launches, so you're never guessing.
What does statistical significance mean in A/B testing?
It's the confidence that your result reflects a real difference rather than random chance. At 95% significance, the standard threshold, there's only a 5% probability the result is noise. RunPivot won't call or roll out a winner below that bar.
How long should an A/B test run?
Until it reaches significance with an adequate sample, and through at least one full business cycle so weekday, weekend, and campaign traffic are all represented. For most sites that means two to four weeks. Stopping early because a variant looks good is the most common way teams ship false positives.
Can I A/B test without developers?
Yes. That's the point of prompt-built A/B testing. If you can describe the change in a sentence, RunPivot can build and launch the experiment. Your engineering team stays focused on the product.
What should I test first?
Your highest-traffic page with the clearest conversion problem. Headlines, calls to action, and checkout or form friction are the classic first tests because everyone sees them and small changes move real numbers.
Ready to ship your first winner?
Describe a test in plain English. RunPivot builds it, runs it, and ships the winner.