An Optimizely alternative without the enterprise contract

Optimizely pricing and procurement

Optimizely doesn't publish pricing; every plan is individually packaged and sold through sales, and even the trial starts with a form and a call from a representative. Vendr reports a median contract of $81,447 a year across 126 purchases, with contracts ranging from $26,460 to $261,075 (page last updated February 2026). Vendr also cites annual price escalators of 3% to 7% and implementation services of $50,000 to $200,000 or more. Those are third-party estimates that Optimizely doesn't confirm, but the shape is consistent: enterprise procurement on enterprise timelines.

There is one free door: a Feature Flagging account with no credit card, which includes flags, the REST API and SDKs, and A/B tests on flags limited to one concurrent experiment. It doesn't include visual web testing.

Otter's entire pricing model fits in a sentence: $39/mo for one project, $79/mo for five, $149/mo for unlimited, every feature on every plan, unlimited visitors, cancel anytime. You can be running your first experiment before an Optimizely discovery call would have been scheduled. The details are on our pricing page.

Two different statistics philosophies

Optimizely's Stats Engine is built for continuous peeking: sequential, always-valid results with false-discovery-rate control across many metrics. That design shines at enterprise scale, where dozens of stakeholders check dashboards constantly.

Otter's built-in sample-size advisor helps plan frequentist manual splits. Manual splits can use frequentist or Bayesian reporting, while Bayesian manual splits use live decision reporting without a fixed-horizon estimate. Multi-armed bandits adapt traffic and use Bayesian reporting automatically, without fixed-horizon sample-size guidance or winner auto-stop. Visitor and conversion caps remain available for either traffic method.

Neither philosophy is universally better: sequential methods cost some statistical power in exchange for peeking safety, and fixed-horizon tests are more powerful when you actually run them to plan. Otter's job is to make running to plan easy, and our free sample size calculator uses the same engine as the app.

GA4: goals vs data push

Optimizely's GA4 integration pushes experiment and variation data into GA4 for analysis there, and can import GA4 audiences for targeting. What it doesn't do is use your GA4 conversion events as goals on its own results page; Optimizely's docs are explicit that GA4 numbers and Optimizely results won't match.

Otter treats GA4 as a first-class goal source: pick an existing GA4 conversion event as an experiment goal and results are reported against it directly, alongside Otter's own pageview, click, custom-event, DataLayer-event and revenue goals. If GA4 is already your source of truth for conversions, you don't have to re-instrument anything.

When Otter is the better Optimizely alternative

Most teams looking for an Optimizely alternative don't need a CMS, a data platform or server-side SDKs. They need to test landing pages, product pages, headlines and offers, and to see which version earns more. Otter covers that with visual A/B/n tests, split URL tests, targeted personalization, revenue per visitor and average order value for every variant, and GA4 goals, at $39 to $149 a month. Its hosted MCP server lets Claude, Cursor or another MCP client inspect your pages, draft experiments and read results.

If you're comparing several vendors, our guide to A/B testing tools and the VWO comparison cover the other names on most enterprise shortlists.