Webflow is the most popular no-code website builder for marketing teams, but Webflow doesn't have A/B testing built in. Testing button colors, hero headlines, or completely different layouts requires a third-party tool.

The good news: GhostSnip works with Webflow without any code exports, API integrations, or changes to your Webflow project structure. One snippet in Project Settings is all you need.

Your SaaS pricing page is doing one of three things: converting visitors to trials or customers, sending them to competitors, or confusing them into bouncing.

A/B testing your pricing page is different from testing product pages or checkout flows. The purchase intent is mixed (some visitors are early-stage browsers, some are ready to buy), the decision is high-stakes, and the social dynamics are complex (pricing anchoring, plan comparison, annual vs monthly framing).

Here are the 8 tests that have the highest lift in SaaS pricing page data.

E-commerce conversion optimization has more data behind it than any other category of A/B testing. Millions of experiments have been run on product pages, cart flows, and checkout forms across every industry.

Here are the 10 highest-ROI tests to run first, ordered by expected impact.

Most A/B tests change a headline or button color. But sometimes you need to test something more fundamental — a completely different page layout, a redesigned pricing structure, or a checkout flow rebuilt from scratch.

For those cases, DOM patches won't cut it. You need split URL testing (also called redirect testing).

If you've ever run an A/B test and noticed visitors briefly see the original page before your variant loads, you've experienced FOOC — Flash of Original Content.

It's the most common technical problem in client-side A/B testing, and most tools either ignore it or implement a solution that creates a different problem (CLS, layout shift).

This is the complete guide to fixing it correctly.

Every major A/B testing platform is now wrestling with the same question: Bayesian or frequentist?

Optimizely built their original tool on frequentist statistics. Then switched to "Stats Accelerator" (Bayesian). VWO calls their approach "SmartStats" (also Bayesian). Statsig uses frequentist for feature flags, Bayesian for experiments. The research teams at Microsoft and Netflix have published papers on both.

Here's the practical guide to what actually matters for your team.

The most common A/B testing mistake isn't bad traffic or wrong goals — it's stopping the experiment too early.

Without calculating the required sample size before you start, you're likely to call a winner based on random noise and ship a change that has no real effect, or worse, a negative one.

This guide walks through the exact formula, a real worked example, and what to do when your traffic is too low.

Google Optimize shut down in September 2023. If you're still searching for a solid replacement that doesn't require a $40k/year Optimizely contract or an engineering team to operate, you're in the right place.

This guide compares the real alternatives — including what we built at GhostSnip after experiencing the same gap firsthand.