Convert Experiences vs Statsig
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentConvert Experiences compared with Statsig
Statsig is an experimentation platform for software products with a large free tier, event-based pricing, and a sophisticated statistics engine including sequential testing and variance reduction. Convert is a website testing platform with a visual editor that a non-developer can operate. If your experiments are in code, Statsig is cheaper and deeper. If your experiments are on marketing pages and the person running them does not write code, Convert is the correct tool.
Choose Convert Experiences if
Marketing and conversion teams at small and mid-sized companies who run testing as an ongoing programme rather than an occasional experiment, especially agencies and privacy-conscious European businesses that need GDPR-safe testing with published statistics and no sales call to buy.
Choose Statsig if
Engineering-led product teams who ship behind flags and want experimentation with real statistical rigour, plus analytics and session replay on the same event data, at a published $150 a month rather than a negotiated enterprise contract.
Side by side
13 attributes| Attribute | Convert Experiences | Statsig |
|---|---|---|
| Category | Product Analytics | Product Analytics |
| Starting price | $299 per month billed annually ($399 monthly) (15 days trial) | $0 (Developer), then $150 per month (Pro) (free plan available) |
| Pricing model | Subscription metered on tested users per month, meaning visitors actually entered into an experiment, with tiers differing on test types, active projects, domains, and support. | Usage-based on analytics events with unlimited free feature flag and config checks on every tier. Three plans: a free Developer tier, a published Pro tier at $150 per month, and quoted Enterprise contracts that can be event-based or experiment-based. |
| Free plan | No | Developer includes 2 million analytics events per month, unlimited feature flag and config checks, and 50,000 session replays per month, with no credit card required. |
| Free trial | 15 days, no credit card required | No separate trial; the free Developer plan is permanent and requires no credit card |
| Best for | Marketing and conversion teams at small and mid-sized companies who run testing as an ongoing programme rather than an occasional experiment, especially agencies and privacy-conscious European businesses that need GDPR-safe testing with published statistics and no sales call to buy. | Engineering-led product teams who ship behind flags and want experimentation with real statistical rigour, plus analytics and session replay on the same event data, at a published $150 a month rather than a negotiated enterprise contract. |
| Setup time | A day to a first live test. Install one script, verify with the QA overlay and Live Log, build a variation in the visual editor, define a goal, launch. Full-stack and server-side testing on Pro takes longer because it involves your codebase rather than the page. | An hour to the first feature gate, because SDK installation and a boolean check is genuinely quick. A day or two to a first meaningful experiment, because that requires defining metrics you trust. Warehouse-native deployment is a multi-week data engineering project rather than an installation. |
| Learning curve | Moderate. The visual editor is approachable and the targeting builder is drag and drop, so a marketer can be productive quickly. The statistics deserve real study: choosing between frequentist and Bayesian, understanding what sequential testing permits, and knowing when to winsorize a revenue metric are the differences between running tests and learning from them. Convert's support includes hypothesis generation help and A/A testing assistance, which suggests they know this. | Steepest in this batch, and deliberately so. The flag interface is simple, but using the platform well requires understanding metric definitions, exposure logging, variance reduction, and when a result is real. Teams without anyone who cares about that will use ten percent of what they are given. |
| Platforms | Any website via a single JavaScript snippet, Server-side and full-stack testing (Pro tier), Shopify and WooCommerce, WordPress, Google Tag Manager, Akamai CDN delivery | Web via JavaScript and React SDKs, iOS (Swift) and Android, React Native, Flutter, and Unity, Server SDKs for Node, Python, Java, Go, Ruby, PHP, Rust, and .NET, Warehouse-native on Snowflake, BigQuery, Databricks, and Redshift, HTTP ingestion API |
| Compliance | SOC 2 Type 2, ISO 27001, GDPR, CCPA, HIPAA | SOC 2, GDPR with a data processing agreement, CCPA, Enterprise security and governance controls on contracted plans |
| Founded | 2009 | 2021 |
| Headquarters | Claymont, Delaware, United States (remote-first across 20-plus countries) | Seattle, Washington, United States |
| Ownership | Bootstrapped and profitable, privately held | Owned by OpenAI following an all-stock acquisition completed in 2025; operated as an independent product |
Strengths and limitations
Convert Experiences
Strengths
- The most transparent statistics of any testing tool at this price: selectable frequentist and Bayesian engines, sequential testing via asymptotic confidence sequences, automatic sample ratio mismatch detection, and named bandit algorithms.
- Genuine privacy engineering rather than a compliance page: first-party cookies only, no personal data stored by default, automatic Do Not Track support since February 2018, SOC 2 Type 2 and ISO 27001 certified.
- Published, self-serve pricing with a 15 day no-card trial in a category where almost every remaining competitor hides its numbers behind a demo request.
- Serious QA tooling, with a unified overlay, live event log, collision prevention, and version control, which is where testing programmes usually break rather than in the statistics.
Limitations
- No free tier and a $299 monthly floor billed annually, which rules it out for anyone not testing continuously.
- Multivariate testing, multipage experiments, full-stack testing, sequential testing, SSO, and raw data export all require the Pro tier, so the practical entry price for a demanding team is $420 a month billed annually.
- Both self-serve tiers carry the same 100,000 tested user allowance, so a high-traffic site cannot buy more volume without moving to a quoted Enterprise contract.
- It is a website testing tool. Product teams testing inside signed-in applications against warehouse data are better served by GrowthBook or Statsig.
Statsig
Strengths
- Unlimited free feature flag and dynamic config checks on every tier, which removes the metering anxiety that stops teams from flagging everything.
- A published $150 per month Pro price with a published $0.05 per 1,000 event overage rate, in a category where most competitors above the free tier require a quote.
- Serious experimentation statistics (CUPED variance reduction, sequential testing, holdout groups) available on the free tier, not gated behind an enterprise contract.
- The most generous session replay allowance among analytics-first vendors: 50,000 replays a month free and 100,000 on Pro.
Limitations
- Owned by OpenAI since September 2025. The company says Statsig continues to operate independently from Seattle, but the founder now runs product engineering at OpenAI and the strategic commitment to a third-party SaaS is unproven over a long horizon.
- Engineer-first by design. The interface expects fluency in metric definitions and experiment methodology, and non-technical staff will not self-serve the way they do in Mixpanel.
- Session replay is web-centric and built on rrweb; there is no mobile replay story comparable to Mixpanel's or Amplitude's iOS, Android, and React Native capture.
- The analytics are adequate rather than excellent. If experimentation is not part of your practice, you are buying a mediocre analytics tool at a good price rather than a good tool.
Pricing compared
Convert Experiences
Subscription metered on tested users per month, meaning visitors actually entered into an experiment, with tiers differing on test types, active projects, domains, and support.
- Growth$299
- Pro$420
- EnterprisePrice on request
Convert is expensive next to the testing bundled into heatmap tools and cheap next to enterprise experimentation platforms, which is exactly the gap it is built for. Working out the bill is easier than usual because the meter counts only visitors entered into an experiment. A site with 10,000 monthly users running one test at 50 percent traffic allocation consumes around 5,000 tested users a month, so it sits inside the 100,000 allowance many times over and pays $299 for capacity it will not use. A site with 100,000 monthly users running several concurrent tests across most of its traffic will approach or exceed the allowance and should price the Enterprise band. That shape means Convert is poor value for occasional testing and good value for a busy programme, and the break-even point is roughly whether you run more than one test at a time, every month, all year. What you get above cheaper alternatives is statistical machinery that holds up under scrutiny, sequential testing, sample ratio mismatch detection, named bandit algorithms, outlier handling, plus a QA layer and a privacy posture that survive a compliance review. If nobody in your organisation will ever question a test result, you do not need any of it.
Statsig
Usage-based on analytics events with unlimited free feature flag and config checks on every tier. Three plans: a free Developer tier, a published Pro tier at $150 per month, and quoted Enterprise contracts that can be event-based or experiment-based.
- Developer$0
- Pro$150
- EnterpriseQuoted
Statsig is the best price per unit of capability in this category, provided you can use the capability. At 10,000 monthly users the free Developer plan is not a teaser: 2 million events, unlimited flag checks, 50,000 replays, and the complete experimentation engine including CUPED and sequential testing costs nothing. At 100,000 monthly users with disciplined instrumentation you are around 3 to 5 million events, which lands squarely inside the $150 Pro plan with 100,000 replays included. Compare that with buying a feature flag service, an analytics tool, and a replay tool separately at that scale and Statsig is roughly a third of the cost. The value collapses if you do not ship behind flags or lack the traffic to conclude experiments, because then you are paying for an experimentation platform to be a mediocre analytics tool.
Editorial verdict on each
Convert Experiences
Convert Experiences is the best remaining self-serve A/B testing platform for a marketing team that runs testing seriously. The statistics are the reason: selectable frequentist and Bayesian engines, sequential testing built on asymptotic confidence sequences, automatic sample ratio mismatch detection, outlier handling, and bandit algorithms named rather than obscured, which is more rigour than anything else you can buy with a credit card at this price. Around that sits a genuine QA layer, flicker-resistant delivery over Akamai, forty-plus targeting filters, and privacy engineering that has been ahead of regulation since 2018. Buy it if testing is a continuous programme and someone in your organisation will eventually question a result. Do not buy it for occasional experiments, because $299 a month billed annually is a lot to pay for a tool you open twice a quarter, and do not buy it as a product analytics platform or as a feature flag service, because it is neither.
Read the full Convert Experiences profileStatsig
MomentumStatsig gives away the thing everyone else meters. Unlimited free feature flag checks, the complete experimentation engine including CUPED and sequential testing on the free tier, 50,000 free session replays a month, and a published $150 Pro plan add up to the best capability per dollar in this category by a comfortable margin. Buy it if engineers own your tooling, you ship behind flags, and you have enough traffic for experiments to conclude. Do not buy it as a general-purpose analytics tool for a non-technical team, and do go in aware that the company now belongs to OpenAI. If that ownership worries you, warehouse-native deployment is a genuine answer rather than a talking point, because in that mode the data and the definitions were never theirs to keep.
Read the full Statsig profileConvert Experiences profile last reviewed 2026-08-22; Statsig last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.