A/B Testing Software — Test everything. Ship the winner.
Run head-to-head tests on copy, design, layout, and timing — with audience-level segmentation built in. Reach significance fast, then auto-promote the winner. No engineering queue.
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Test what matters. Ship what wins.
Hero copy, pricing pages, email subject lines, full personalization rules — run real tests on real traffic and let the data decide.
Find the headline that converts
Test headlines, hero images, value props, and CTA copy on landing pages. Run multivariate combinations or simple A/B splits with built-in significance scoring.
- Visual editor — no code required
- Multi-arm tests with traffic allocation
- Auto-promote the winner when significant
Optimize where revenue happens
Test pricing display, plan structure, payment flows, and trust signals. Segment by visitor type — new vs. returning, geo, source — so you don’t blow up returning revenue.
- Audience-level test isolation
- Revenue-per-visitor as primary metric
- Auto-stop on significant negative lift
Subject lines, content, send time
Test subject lines, sender names, hero blocks, and CTA copy. Open-time rendering means winning content stays fresh even after send. Auto-promote winner mid-campaign.
- Subject-line A/B with auto-winner promotion
- Content blocks tested per segment
- Send-time optimization per recipient
Prove the lift before scaling
A/B test personalized vs. generic experiences on the same audience. Compare two personalization strategies head-to-head. Roll out with confidence, not faith.
- Hold-out groups baked into the campaign
- Per-segment lift breakdowns
- Statistical guardrails on every roll-out
Pick the test. Build it without code.
A/B for one decision. A/B/n when you’re exploring options. Holdout to validate that personalization actually moves the needle. All three in the same visual editor — no engineer required.
Design every variant without writing code.
Edit a live page directly — change copy, swap images, redesign CTAs — or build popups, banners, and forms from a library of templates. Every variant goes from idea to live in minutes, no devs.
Statistical rigor, without the statistician.
Every Personyze test plans the sample size up front, watches a guardrail metric while it runs, and auto-promotes the winner the moment significance lands. No p-hacking. No peeking. No spreadsheets.
Sample-size planner
Tell us your baseline conversion rate and the smallest lift worth caring about. We’ll tell you how much traffic the test needs to reach significance — before you launch.
Bayesian inference, in real time
Instead of waiting for a fixed sample, you get the live probability that variant B beats A — updated every session. No problem with peeking. No false-positive inflation.
Guardrails on the metrics that matter
Define a safety floor — revenue per visitor, page-load time, error rate — and we’ll auto-halt and revert any variant that drops below it. The test never costs you more than it pays.
Auto-promotion when the winner is real
When the variant clears your significance bar AND the minimum runtime, it’s promoted to 100% of traffic automatically. No standup needed. No human in the loop unless you want one.
Run A/B tests on every platform. Score them with every signal.
Personyze runs on Shopify, WordPress, Magento — or any custom stack — with a single snippet. And it pulls in audience data from your existing martech so every test scores accurately.
HubSpot
Salesforce
Segment
GA4
6sense
Tealium
Zoho
ZoomInfo
Clearbit
Shopify
WordPress
LeadrebelRead the test. Defend the call.
Per-variant lift, confidence intervals, segment breakdowns, and a clear decision criterion — so you can show exactly why a variant won and roll the call past skeptics.
Go deeper.
Setting up your first A/B test
Build, target, and launch a real A/B test in 15 minutes — from hypothesis to significance.
Start the guide → Best practicesSignificance, sample size, sanity
How to size a test, how long to run it, and the common ways teams fool themselves into shipping noise.
Read the article → WikiA/B testing reference
Full docs — test setup, audience filters, statistical config, auto-promotion rules, and the JS API.
Open the docs → ExamplesReal test results
Anonymized teardowns: what worked, what didn’t, and what surprised the team running the test.
Browse case studies →Direct answers. No fluff.
The questions that come up before signing on. Send anything else our way and we’ll answer fast.
How does A/B testing in Personyze work?
Visitors are split between variants based on the traffic allocation you set — 50/50 for a classic A/B, even slices for an A/B/n test, or 90/10 with a holdout to measure incremental lift. Each visitor gets a sticky assignment so they always see the same variant.
Personyze tracks impressions, clicks, and goal events in real time and runs Bayesian inference continuously to estimate which variant is winning and by how much. When statistical confidence (probability that B beats A) crosses a threshold and a minimum runtime has passed, you can auto-promote the winner — or review the full breakdown by audience segment, device, and channel before deciding.
Do I need to write code to run A/B tests?
No. Personyze is built to be no-code: the visual editor lets you change copy, swap images, redesign CTAs, or replace whole sections by clicking on them on the live page. Popups, banners, and forms are built from a 20+ widget template library — no engineering team required.
For the rare cases where you want bespoke logic (custom JavaScript, server-rendered variants, integrations with proprietary data) there\'s a JS action you can drop in and a REST API for server-side variant assignment. Most teams never need either.
What platforms can I run A/B tests on?
Personyze A/B testing is fully platform-agnostic. It works on Shopify, Magento, BigCommerce, WooCommerce, Salesforce Commerce, WordPress, Webflow, custom React or Vue apps, Next.js, headless setups, and plain HTML sites. Integration is a single JavaScript snippet.
For server-side variants there’s a REST API. For email A/B tests, Personyze injects content at email-open time. And for data, Personyze plugs into your existing martech: Google Analytics 4, Mixpanel, Segment, HubSpot, Salesforce, Marketo, ActiveCampaign, and any tool with a REST API or webhooks.
What’s the difference between A/B testing and split testing?
The terms are used interchangeably — both describe splitting traffic between two or more variants and measuring which performs better. “A/B testing” is the more common phrasing for landing-page and CRO experiments; “split testing” is sometimes used to specifically describe URL-based tests where each variant lives on a different page.
Personyze handles both: same-page A/B variants via the visual editor, and full-page split tests where you redirect a percentage of traffic to a different URL. Multivariate (A/B/n) and holdout tests are also supported in the same UI — no separate tool required.
How fast can I launch a campaign?
From a fresh account, most teams launch their first campaign in under 15 minutes: pick a template, choose a trigger, define the audience, hit publish. No code, no developer queue.
For more complex setups (custom CRM data, ABM IP lookups, multi-step flows) plan on a few hours or schedule a free implementation session with our success team.
Will it slow down my site?
No. The Personyze script is under 30KB gzipped, loaded asynchronously, and decisions are made in under 50ms. We don’t block render. Customers consistently report no measurable impact on Core Web Vitals after deploying.
How does targeting by company (ABM) work?
Personyze includes built-in IP intelligence that resolves anonymous traffic to a company name when possible — with industry, employee count, revenue tier, and HQ location.
You can also push known visitors via your CRM (HubSpot, Salesforce) or a custom data layer. Combine company attributes with on-site behavior to fire campaigns only when the right account hits the right page.
Can I use my own design / brand fonts?
Yes — every popup, bar, and banner is built from standard HTML/CSS. Use the visual editor for fast iteration, or drop in your own custom HTML and inherit your site’s CSS automatically. Brand fonts work out of the box.
How do you prevent over-popping (campaign fatigue)?
Frequency limits are first-class: session caps, cooldowns, cross-campaign rules, and goal-based suppression. Set "max 1 popup per visitor per session" and Personyze enforces it across all campaigns automatically.
Once a visitor closes or converts on a campaign, that campaign is suppressed by default until you decide otherwise.
Does it integrate with my email/CRM?
Yes — native integrations for HubSpot, Salesforce, Mailchimp, Klaviyo, ActiveCampaign, and Marketo. Captures from popup forms can be auto-pushed to your CRM as new leads, with custom field mapping. Webhooks let you connect anything else.
Are popups bad for SEO?
Personyze popups are compliant with Google’s mobile interstitial guidelines by default. We never auto-show fullscreen modals on first page-load on mobile. Suppress on legal/cookie pages, gate behind scroll/dwell triggers, and keep ad-of-page-content ratio in check.
Stop guessing. Start testing.
Launch your first A/B test in 15 minutes. Real significance, real guardrails, no statistician on staff required.