Is GrowthBook or VWO cheaper?

GrowthBook starts at $0 (Starter, 3 seats), then $40 per seat per month (Pro) (free plan available). VWO starts at Free starter tier for low traffic; paid plans commonly from a few hundred dollars per month depending on module and tracked users (free plan available).

GrowthBook vs VWO

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 assessment

VWO compared with GrowthBook

Two philosophies of experimentation. GrowthBook is open source, warehouse-native, and free to self-host, aimed at teams with engineering capacity who want statistics computed on their own data. VWO is a hosted commercial suite aimed at marketers who need a visual editor and no infrastructure. Choose GrowthBook if a data team already owns the warehouse; choose VWO if the people running tests do not write SQL.

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.

Choose VWO if

Mid-sized ecommerce and SaaS teams with enough traffic to reach significance who want diagnosis and experimentation from one vendor, and agencies running structured CRO programs for clients who expect statistical reporting rather than anecdotes.

Side by side

13 attributes

Attribute	GrowthBook	VWO
Category	CRO	CRO
Starting price	$0 (Starter, 3 seats), then $40 per seat per month (Pro) (free plan available)	Free starter tier for low traffic; paid plans commonly from a few hundred dollars per month depending on module and tracked users (free plan available)
Pricing model	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.	Modular subscription: Testing, Insights, Personalize, and FullStack are licensed separately, each priced by monthly tracked users. A free starter tier exists for low volumes, and higher tiers add advanced targeting, integrations, and support. Annual contracts are the norm at scale.
Free plan	Starter is free for up to 3 users and 1 project, with unlimited feature flags, unlimited experiments, and unlimited traffic. No credit card required.	Starter tier with limited monthly tracked users across core testing and insights
Free trial	No fixed trial; the free Starter tier and the open source build serve as the evaluation path	Free trial on paid plans
Best for	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.	Mid-sized ecommerce and SaaS teams with enough traffic to reach significance who want diagnosis and experimentation from one vendor, and agencies running structured CRO programs for clients who expect statistical reporting rather than anecdotes.
Setup time	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.	A day for the SmartCode install and goal configuration, longer if anti-flicker handling and consent gating need engineering attention. A first meaningful experiment usually launches within the first week.
Learning curve	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.	Moderate. Building a variation is easy; designing an experiment that produces a trustworthy answer is not. Teams new to testing should expect to spend more time on sample size planning and metric definition than on the tool itself.
Platforms	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	Web (JavaScript SmartCode), Server-side SDKs, iOS and Android SDKs, Google Tag Manager
Compliance	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	GDPR, CCPA, SOC 2 Type II, ISO 27001, HIPAA support on request
Founded	2020	2010
Headquarters	Anaheim, California, United States	New Delhi, India
Ownership	Venture-backed, Y Combinator W22	Private, venture-backed (Wingify)

Strengths and limitations

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.

VWO

Strengths

One of the few complete experimentation suites available below enterprise pricing, covering research, testing, and personalization on shared data.
The visual editor remains best in class for marketers building variations without engineering support.
Bayesian SmartStats reporting is easier for non-statisticians to interpret correctly and resists the peeking errors that invalidate naive tests.
Form analytics and funnels turn diagnosis into a repeatable process rather than an exercise in watching recordings.

Limitations

Requires real traffic; low-volume sites cannot conclude tests fast enough for the subscription to earn out.
Client-side testing carries flicker and page-weight risk that has to be actively engineered around.
Modular pricing makes the true cost of a full deployment hard to estimate from published figures.
The interface has grown broad, and the number of modules makes early navigation more confusing than a single-purpose tool.

Pricing compared

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.

VWO

Modular subscription: Testing, Insights, Personalize, and FullStack are licensed separately, each priced by monthly tracked users. A free starter tier exists for low volumes, and higher tiers add advanced targeting, integrations, and support. Annual contracts are the norm at scale.

Starter$0
GrowthFrom roughly $350
Pro and EnterpriseQuoted

VWO is priced as a platform, not a utility, and that only pays off if you run experiments continuously. For a team testing every week with the traffic to conclude tests, having research, testing, and personalization on one data model saves more time than the price difference against assembling three cheaper tools. For a team that tests occasionally, the same money buys a heatmap tool plus an open-source testing framework with change to spare. The dividing line is program maturity rather than company size.

Editorial verdict on each

GrowthBook

Innovation

GrowthBook 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 profile

VWO

VWO is the most complete experimentation platform a mid-sized company can still buy without an enterprise procurement cycle, and the fact that research and testing share one data model is a real advantage over assembling separate tools. The visual editor and Bayesian reporting together let a marketing team run a defensible program without a data scientist attached. It earns its price only through frequency: a site with the traffic to conclude tests and the discipline to run them weekly gets compounding value, while a team testing once a quarter is paying platform rates for utility usage. Confirm which modules a quote includes, plan the anti-flicker work before launch, and be honest about whether your traffic can support the program you are buying.

Read the full VWO profile

GrowthBook profile last reviewed 2026-08-22; VWO last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.