Convert Experiences vs GrowthBook
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
Both sides assessedConvert Experiences compared with GrowthBook
Both take statistics seriously and both publish methodology, but they serve different sides of the building. GrowthBook is developer-side, warehouse-native, and $40 per seat, testing what happens inside an application. Convert is marketing-side with a visual editor, 40-plus targeting filters, and a QA layer, at $299 a month. A marketer testing landing pages should take Convert; a product team testing features against warehouse data should take GrowthBook. Companies with both problems often run both.
GrowthBook compared with Convert Experiences
Convert Experiences is a marketing-side CRO platform with a visual editor, priced from $299 a month billed annually for 100,000 tested users. GrowthBook is a developer-side experimentation platform priced per seat with a far deeper statistics engine. A marketing team testing landing pages without engineering should use Convert; a product team testing in-app changes with warehouse data should use GrowthBook.
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 GrowthBook if
Product and growth teams at small software companies who already have event data in a warehouse and want to run experiments with defensible statistics, plus engineering teams who want feature flags and the measurement of those flags in the same system without shipping user data to a vendor.
Side by side
13 attributes| Attribute | Convert Experiences | GrowthBook |
|---|---|---|
| Category | Product Analytics | Product Analytics |
| Starting price | $299 per month billed annually ($399 monthly) (15 days trial) | $0 (Starter, 3 seats), then $40 per seat 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. | Per-seat subscription on cloud with a free tier, plus a free unlimited-user open source self-hosted edition and quoted Enterprise plans on both. Usage charges apply only to CDN delivery and the optional Managed Warehouse. |
| Free plan | No | Starter is free for up to 3 users and 1 project, with unlimited feature flags, unlimited experiments, and unlimited traffic. No credit card required. |
| Free trial | 15 days, no credit card required | No fixed trial; the free Starter tier and the open source build serve as the evaluation path |
| 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. | Product and growth teams at small software companies who already have event data in a warehouse and want to run experiments with defensible statistics, plus engineering teams who want feature flags and the measurement of those flags in the same system without shipping user data to a vendor. |
| 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. | A day for a first experiment if you already have clean event data in a warehouse. Connect the data source, define two or three metrics, install the SDK, and launch. Without a warehouse, add however long it takes to get events landing somewhere, or use the Managed Warehouse to shortcut it. |
| 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. | Moderate and front-loaded on metric definition. The flag half is easy; the experimentation half asks you to think about conversion windows, denominators, guardrails, and priors. Teams that skip this get results that look precise and are not. The visible SQL helps, because a data-literate person can check the definition rather than trusting a label. |
| 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 | JavaScript and React, Node, Python, PHP, Ruby, Go, Java, C# and .NET, Elixir, Kotlin and Android, Swift and iOS, React Native and Flutter, Cloudflare Workers, Fastly, and Lambda@Edge |
| Compliance | SOC 2 Type 2, ISO 27001, GDPR, CCPA, HIPAA | GDPR posture strengthened by design: only aggregated statistics leave your infrastructure and GrowthBook collects no user data, Self-hosted deployment available behind a firewall for buyers who cannot use a processor at all, Confirm current SOC 2 scope with the vendor during procurement |
| Founded | 2009 | 2020 |
| Headquarters | Claymont, Delaware, United States (remote-first across 20-plus countries) | Anaheim, California, United States |
| Ownership | Bootstrapped and profitable, privately held | Venture-backed, Y Combinator W22 |
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.
GrowthBook
Strengths
- The statistics engine is genuinely serious: Bayesian by default with configurable priors, a frequentist option with sequential testing, CUPED variance reduction on both, and multiple testing corrections on dimensional breakdowns.
- Every result shows its SQL and exports to a Jupyter notebook, and the engine source is public, which makes results auditable rather than a vendor assertion.
- Warehouse-native architecture means your event data never leaves your infrastructure and only aggregate statistics reach GrowthBook, which shortens the data protection review considerably.
- Six automatic data quality checks including sample ratio mismatch catch the broken experiments that quietly poison decision-making elsewhere.
Limitations
- Per-seat pricing at $40 punishes larger teams; a fifteen-person product organisation on Pro pays $600 a month for capabilities that a smaller team gets for $120.
- You need a data source. Without a warehouse or the paid Managed Warehouse, GrowthBook has nothing to compute against, so it is not a first analytics purchase.
- Metric definition is real work in SQL, and the quality of every result depends on getting conversion windows, denominators, and capping right. There is no autocapture shortcut.
- Project limits are tight: one project on Starter and self-hosted open source, three on Pro, unlimited only on Enterprise.
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.
GrowthBook
Per-seat subscription on cloud with a free tier, plus a free unlimited-user open source self-hosted edition and quoted Enterprise plans on both. Usage charges apply only to CDN delivery and the optional Managed Warehouse.
- Starter (Cloud)$0
- Pro (Cloud)$40
- Enterprise (Cloud)Custom
- Open source (Self-hosted)$0
- Enterprise (Self-hosted)Custom
Judged on statistics per dollar, GrowthBook is the best value in this category by a wide margin: sequential testing, CUPED, proper Bayesian inference with configurable priors, multiple testing corrections, and six automatic data quality checks are all present on a free tier. Judged on total bill, it depends entirely on headcount. Because the meter is seats rather than events, traffic volume barely matters: a product with 10,000 monthly users and one with 100,000 monthly users both cost the same, which is either a bargain or an irrelevance depending on your shape. A five-person team on Pro pays $200 a month; a twenty-person team pays $800, which is where the free self-hosted build with unlimited users starts to look attractive if you have the operational capacity. Against Statsig, whose free tier is enormous and whose statistics are comparably sophisticated, GrowthBook wins on warehouse-native architecture and auditability and loses on out-of-the-box analytics. Against Flagsmith or Unleash it costs more and does far more.
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 profileGrowthBook
InnovationGrowthBook is the experimentation platform to buy if you care whether the numbers are right. Sequential testing, CUPED, configurable Bayesian priors, multiple testing corrections, and automatic sample ratio mismatch detection are present on a free tier, and every result shows the SQL that produced it. That combination does not exist anywhere else at this price. The architecture is the other half of the argument: your data stays in your warehouse, only aggregates leave, and a self-hosted build with unlimited users is always available as an exit. Buy it if you already have event data in a warehouse and a habit, or an ambition, of running real experiments. Do not buy it as a first analytics tool, because it computes against data it does not collect, and do not assume the seat meter is cheap without multiplying $40 by your actual headcount. The work that determines your return is metric definition, and no vendor can do that part for you.
Read the full GrowthBook profileConvert Experiences profile last reviewed 2026-08-22; GrowthBook last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.