Optimizely Alternatives

Convert Experiences covers the core of Optimizely Web Experimentation, with targeting, goals and statistics in the same interface. Growth runs A/B and split URL tests; multivariate tests, multi-page tests, full-stack experiments and feature flags start on Pro. Convert prints its prices: Growth costs $299 a month billed yearly, $3,588 a year, or $399 on monthly billing; Pro costs $420 a month billed yearly, $5,040 a year, or $599 monthly. Enterprise, from 1 million MTUs a month, is on quote and annual only. Prices exclude tax, and the 15-day free trial needs no card.

The unit to understand is the MTU, Convert's monthly count of visitors actually bucketed into an experiment, not your total traffic: a visitor who sees three of your tests counts once. Monthly plans start at 100,000 MTUs a month; annual plans hand you the year's 1.2 million all at once, which absorbs a launch spike that would overrun a monthly plan. Growth tops out at 750,000 MTUs a month, so a busier site is pushed to Pro. Plans also cap deploys (10 on Growth, 100 on Pro) and custom segments per project (5 and 10). The trap is overuse: past your MTUs, Growth adds $399 per extra 100,000 and Pro $699 per extra 250,000. That overuse billing can be turned off, which we recommend on day one if your budget is fixed. Against a five-figure Optimizely contract, Growth at $3,588 a year can be modeled before any call.

GrowthBook replaces the Feature Experimentation side of Optimizely: feature flags, A/B tests in code and an experiment report that reads metrics from your own warehouse (BigQuery, Snowflake and others) or from a managed warehouse. It can also run on your own servers: the self-hosted Open Source plan is free with unlimited users and unlimited experiments, limited to one project.

Its pricing model is the opposite of Optimizely's. GrowthBook charges per seat, the people who run experiments and manage flags, rather than per monthly active user or API event. The cloud Starter plan is free for up to 3 users and one project, with unlimited feature flags, experiments and traffic. Pro costs $40 per seat per month for up to 30 users and 3 projects, and adds the AI visual editor marketers need to change a page without code, URL split tests, sequential testing and CUPED. Self-hosted, the visual editor and multi-arm bandits are Enterprise features: the free Open Source plan has neither. On Pro, the managed warehouse includes 2 million events a month, then $30 per extra million, CDN requests 2 million a month, then $10 per extra million, and CDN bandwidth 20 GB a month, then $1 per extra GB. A team of five on Pro pays $200 a month in seats; traffic stays unlimited, and only usage meters like these can add to the bill, which is where it beats MAU billing on high-traffic sites.

Statsig is built for product experimentation: feature gates, A/B tests on product changes, product analytics and session replay share the same events, so a test result and the dashboard that explains it come from one source. Every plan, the free one included, also has no-code experiments in a visual web editor, but the tool answers the Feature Experimentation half of Optimizely first. Check who owns it before a long contract: OpenAI agreed to buy Statsig in 2025, then Amplitude acquired its product, brand and customer base in 2026, while the original team stayed at OpenAI.

The price model is metered events, with unlimited seats. The Developer plan is free with 2 million events a month, unlimited flag and config checks and 50,000 session replays a month. Pro costs $150 a month with 5 million events included, then $0.05 per additional 1,000 events, and 100,000 session replays. Enterprise is on quote, on event or experiment based contracts with volume discounts and a warehouse-native option. The unit to understand: a metered event is an experiment exposure, an event your app logs, or an ingested or custom metric. Flag checks only count when Metric Lifts are on for a partial rollout, and exposures for the same user are deduplicated over 60 minutes on client SDKs. The trap is the overage on Pro: Statsig bills the $150 at the start of each billing period and overages on top, so 10 million events in a month cost $150 plus $250 for the 5 million extra.

PostHog is a product platform that includes experiments rather than an experimentation tool: product analytics, session replay, feature flags, experiments, surveys and a data warehouse sit in one place. Experiments are billed with feature flags, so a test costs what its flag requests cost. Its no-code web experiments, built in the PostHog toolbar, suit simple text and layout edits rather than complex page changes.

Every product has a free monthly allowance that resets each month: 1 million feature flag requests, 1 million analytics events and 5,000 session replays, among others. Past that, you pay per use, billed monthly; PostHog lists no minimums and no annual commitments, with annual plans and volume discounts available for larger spend. Adding a card unlocks 6 projects instead of 1 and two years of data retention instead of one. Against Optimizely, the model suits a team that is not ready for a five-figure contract: you start free and the bill follows traffic. The trap is the same as any usage model: a flag evaluated on every page view of a busy site consumes requests quickly, so set billing limits per product in the first week. If analytics is the main need, our best product analytics tools ranking compares PostHog with the rest.

Kameleoon is an experimentation platform for web and product teams. Its entry plan, PBX Starter, is built around prompt-based experimentation: you describe the change you want to test in plain language, and its AI generates the variation and launches the test through a Chrome extension, without a visual editor. The modules that compete with the whole Optimizely suite, feature management and rollouts, feature experimentation, personalization and mobile app testing, come as add-ons to Starter or in a custom Enterprise plan.

Kameleoon publishes an entry price: PBX Starter starts at $495 a month for up to 10 experiments and 50,000 MTUs a month, with a monthly allowance of AI credits (one credit per prompt, about three per experiment on average). Enterprise is custom, priced on monthly unique visitors over the last 12 months, with unlimited experiments and traffic. Three traps sit in the plan page. At 100% of your Starter quota, experiments stop running, after a warning at 90%. The JS/CSS code editor and CUPED are add-ons too, so a team that wants to hand-code a variation pays extra. And the 30-day free trial, limited to 3 experiments, does not keep your tests or data unless you upgrade. Discounts apply to longer contracts and to buying experimentation with feature management.

VWO is a suite close to Optimizely in scope: A/B, split URL and multivariate tests, a visual editor, heatmaps, session recordings, surveys, personalization and feature rollouts, sold as separate products on one platform. Its 3.9 score comes from our full VWO review, high on depth (4.7) and low on value for money (2.6). VWO and AB Tasty now belong to the same group, Wingify, so a tender between the two is a tender with one vendor.

Prices are on quote. Wingify states that pricing is based on monthly active users depending on the product, and on monthly tracked users (MTUs) for behavior analytics, with discounts on bundles and longer contracts and preferential pricing for non-profits; plans are Growth, Pro and Enterprise, and every free trial gives access to a data-rich demo account. Read the plan grid closely: multivariate testing is a Pro feature, the Growth plan stores 50 events per MAU, and heatmaps or recordings inside test reports need a separate Behavior Analytics subscription, whose Growth plan keeps data for 30 days. How it reads against Optimizely: the same MAU logic, so ask for both quotes on the same traffic figure, and ask for the bundle price only for the modules you will use in the first year. If heatmaps are the main need, our Hotjar vs VWO comparison weighs a lighter option.

LaunchDarkly is a feature management platform: flags, progressive rollouts, approvals and kill switches, with experimentation, session replay and error tracking available on the same usage model. It replaces Optimizely Feature Experimentation for teams whose priority is releasing code safely; it does not replace the visual web editor.

Pricing is pay as you go past free limits, with unlimited seats and experimentation included on every plan. Client-side MAU, each unique user or device seen by a client-side SDK: 1,000 free, then $8.33 per 1,000 billed yearly ($10 monthly). Service connections: 5 free, then $10 each billed yearly ($12 monthly). LaunchDarkly gives its own example: 10 connections and 2,000 MAU cost $58.33 a month on yearly billing, $70 monthly. Session replays are 5,000 free, then $2.92 per 1,000 yearly. Two traps. A service connection is one server-side SDK connected to one environment, averaged over the month, and every replica, worker and dev or staging environment counts, so a small backend with staging passes the 5 free quickly. And a consumer site with 200,000 monthly users lands near $1,660 a month billed yearly on client-side MAU alone, before service connections. Model both before you compare with an Optimizely quote. The free Developer plan is limited to 1 project and 3 environments.