Statsig is a feature management and experimentation platform that helps product and engineering teams ship faster, test smarter, and measure impact with real-time data. The platform combines feature flags, A/B testing, analytics, and product insights in a unified workflow, enabling teams to de-risk releases, optimize user experiences, and make data-driven decisions at scale.
Statsig's pricing is based on a combination of monthly tracked users (MTUs) and feature seats, with tiered plans that scale from startups to enterprise organizations. Published pricing provides a starting point, but actual costs depend on usage volume, contract structure, and negotiation—particularly for teams with significant scale or multi-year commitments.
Evaluating Statsig or planning a purchase?
Vendr's pricing analysis agent uses anonymized contract data to show what similar companies typically pay and where negotiation leverage exists—whether you're estimating budget, comparing options, or reviewing a quote. Explore Statsig pricing with Vendr.
This guide combines Statsig's published pricing with Vendr's dataset and analysis to break down Statsig pricing in 2026, including:
Whether you're evaluating Statsig for the first time or preparing for renewal, this guide is designed to help you budget accurately and negotiate with clearer market context.
Statsig pricing is structured around two primary dimensions: monthly tracked users (MTUs) and feature seats. MTUs represent the number of unique users exposed to feature flags or experiments each month, while feature seats determine how many team members can access the platform to configure flags, run experiments, and analyze results.
Statsig offers three main pricing tiers—Free, Pro, and Enterprise—with published pricing for Pro and custom pricing for Enterprise. The Free tier supports up to 1 million MTUs and unlimited feature seats, making it accessible for early-stage teams and proof-of-concept deployments. Pro pricing starts at a base rate and scales with usage, while Enterprise pricing is tailored to organizations with complex requirements, higher volumes, or specific compliance and support needs.
Pricing Structure:
Observed Outcomes:
Based on anonymized Statsig transactions in Vendr's dataset, buyers with moderate to high usage volumes (5M+ MTUs) often achieve below-list pricing through volume-based discounting and multi-year commitments. Teams negotiating annual contracts commonly secure 15–25% off published Pro rates, while enterprise buyers with significant scale or competitive leverage have achieved deeper discounts.
Benchmarking context:
Explore Statsig pricing with Vendr to access percentile-based ranges for comparable deployments, helping buyers assess whether a given quote aligns with recent market outcomes for similar scope and usage.
Statsig's Free tier is designed for startups, side projects, and teams exploring feature management and experimentation without upfront cost. It includes unlimited feature seats and supports up to 1 million monthly tracked users, making it a viable option for early-stage products or low-traffic applications.
Pricing Structure:
Observed Outcomes:
The Free tier is commonly used for proof-of-concept deployments and early product development. Teams that exceed 1 million MTUs or require advanced features typically migrate to Pro or Enterprise.
Benchmarking context:
For teams evaluating paid tiers, Get your custom price shows what similar companies pay when scaling beyond the Free tier, including observed upgrade paths and negotiated rates.
Statsig Pro is the self-serve paid tier, designed for growing teams that need higher usage limits, additional feature seats, and enhanced support. Pro pricing is published and scales with monthly tracked users and feature seats.
Pricing Structure:
Observed Outcomes:
In Vendr's dataset, Pro buyers with 5M+ MTUs often negotiate volume-based discounts, particularly when committing to annual contracts. Multi-year agreements and upfront payment commonly yield 15–25% off published rates.
Benchmarking context:
See what similar companies pay for Pro deployments across different usage bands, helping buyers assess whether a given quote reflects typical market outcomes.
Statsig Enterprise is tailored for organizations with high usage volumes, complex security and compliance requirements, or the need for dedicated support and infrastructure. Enterprise pricing is custom and negotiated based on specific requirements.
Pricing Structure:
Observed Outcomes:
Enterprise buyers in Vendr's dataset commonly negotiate pricing based on projected usage, with volume-based discounting for commitments above 10M MTUs. Multi-year contracts and competitive leverage (e.g., evaluating LaunchDarkly or Split) often result in 20–35% discounts relative to initial quotes.
Benchmarking context:
Explore Statsig pricing with Vendr to see what similar organizations pay for comparable scope, including observed discount patterns and negotiation outcomes by deal type (new vs. renewal).
Statsig's total cost is determined by a combination of usage volume, feature seats, contract structure, and add-ons. Understanding these drivers helps buyers forecast accurately and identify negotiation opportunities.
MTUs are the primary cost driver for Statsig. An MTU is a unique user exposed to a feature flag or experiment within a calendar month. Higher MTU volumes increase costs, but volume-based discounting is common for larger deployments.
Cost impact:
Benchmarking context:
Get your custom price to see how MTU volume impacts total cost and where volume discounts typically apply.
Feature seats determine how many team members can access Statsig to configure flags, run experiments, and analyze results. Pro includes 5 seats; additional seats are priced incrementally. Enterprise pricing typically includes a higher seat count or unlimited seats.
Cost impact:
Annual and multi-year contracts typically include discounts relative to month-to-month billing. Upfront or annual prepayment can unlock additional savings.
Cost impact:
Benchmarking context:
Based on Statsig transactions in Vendr's platform, buyers who commit to multi-year terms and annual prepayment often achieve 20–30% lower total cost compared to month-to-month or quarterly billing.
Enterprise buyers may incur additional costs for dedicated infrastructure, custom integrations, or premium support packages. These are typically negotiated as part of the overall contract.
Cost impact:
Beyond base subscription costs, Statsig buyers should account for potential overages, implementation effort, and integration dependencies.
Exceeding contracted MTU limits can trigger overage charges or require mid-term contract adjustments. Statsig typically notifies customers when approaching limits, but overage rates can be higher than base pricing.
Mitigation:
Benchmarking context:
Explore Statsig pricing with Vendr to see how buyers structure usage bands and negotiate overage terms to avoid unexpected costs.
Migrating from another feature management platform (e.g., LaunchDarkly, Split) or implementing Statsig for the first time requires engineering time to integrate SDKs, migrate flags, and configure experiments.
Cost impact:
Statsig integrates with analytics platforms (e.g., Amplitude, Mixpanel, Segment) and data warehouses (e.g., Snowflake, BigQuery). Depending on your stack, integration may require additional tooling or data pipeline costs.
Cost impact:
Statsig pricing varies widely based on usage volume, contract term, and negotiation. The following ranges reflect observed outcomes in Vendr's dataset and provide directional guidance for budgeting.
Typical scope:
Observed outcomes:
Buyers in this range often start on Pro's published pricing and negotiate 10–20% discounts for annual prepayment or multi-year commitments.
Benchmarking context:
Explore Statsig pricing with Vendr to access percentile-based benchmarks for comparable deployments, helping buyers assess whether a given quote aligns with recent market outcomes.
Typical scope:
Observed outcomes:
Buyers in this range commonly negotiate volume-based discounting and achieve below-list pricing, particularly when evaluating alternatives or committing to multi-year terms.
Benchmarking context:
Based on anonymized Statsig transactions in Vendr's platform, mid-market buyers often achieve 15–30% off initial quotes through volume commitments and competitive leverage.
Typical scope:
Observed outcomes:
Enterprise buyers in Vendr's dataset commonly negotiate custom pricing based on projected usage, with significant discounts for multi-year commitments and competitive evaluations.
Benchmarking context:
Explore Statsig pricing with Vendr to see what similar organizations pay for high-volume deployments, including observed discount patterns and negotiation outcomes.
Statsig pricing is negotiable, particularly for Pro buyers with significant usage or Enterprise buyers with complex requirements. The following strategies are based on anonymized Statsig deals in Vendr's dataset and reflect tactics that have consistently delivered better outcomes.
Statsig sales teams are more flexible when buyers engage early in the evaluation process and clearly communicate budget constraints. Anchoring to a realistic budget range (based on benchmarks) sets the tone for negotiation and signals that you've done your homework.
Benchmarking context:
Explore Statsig pricing with Vendr to access percentile-based ranges for comparable deployments, helping buyers anchor to realistic targets before engaging with sales.
Statsig competes directly with LaunchDarkly, Split, Optimizely, and open-source alternatives like Unleash. Buyers who actively evaluate alternatives and communicate competitive pricing often unlock deeper discounts.
Competitive benchmarks:
Compare Statsig to LaunchDarkly, Split, and Optimizely to see how Statsig pricing stacks up against alternatives for similar requirements, providing leverage for negotiation.
Multi-year contracts (2–3 years) consistently unlock 15–30% discounts relative to annual agreements. Buyers who can commit to longer terms and annual prepayment often achieve the best pricing.
Vendr data shows that buyers who commit to multi-year terms with annual prepayment often achieve 20–35% lower per-MTU pricing compared to month-to-month or annual billing.
For Pro and Enterprise buyers, negotiating flexible usage bands and favorable overage rates upfront prevents unexpected costs as usage scales. Request tiered pricing that accommodates growth without triggering steep overage charges.
Statsig's fiscal year ends in December. Buyers negotiating in Q4 (October–December) often have more leverage as sales teams work to close annual quotas. Renewals timed to fiscal periods can also unlock incremental discounts.
Enterprise buyers should negotiate custom packages that bundle MTUs, feature seats, support, and infrastructure into a single annual fee. This simplifies budgeting and often results in better overall pricing than à la carte add-ons.
These insights are based on anonymized Statsig deals in Vendr's dataset across a wide range of company sizes and contract structures. Buyers can explore these insights directly using Vendr's free pricing and negotiation tools:
Statsig competes primarily with LaunchDarkly, Split, and Optimizely in the feature management and experimentation space. The following comparisons focus on pricing structure and observed outcomes for similar deployments.
LaunchDarkly is the market leader in feature management, with a mature platform and extensive enterprise adoption. LaunchDarkly's pricing is based on monthly active users (MAUs) and feature seats, with published pricing for Foundation and Pro tiers and custom pricing for Enterprise.
| Pricing component | Statsig | LaunchDarkly |
|---|---|---|
| Free tier | Up to 1M MTUs, unlimited seats | Up to 1,000 MAUs, 5 seats |
| Entry-level paid tier | Pro: $150/month (1M MTUs, 5 seats) | Foundation: $8.33/seat/month (billed annually) |
| Usage-based pricing | MTU-based; scales with volume | MAU-based; scales with volume |
| Enterprise pricing | Custom; volume discounts common | Custom; typically higher than Statsig for comparable scope |
| Typical annual cost (10M users, 20 seats) | Negotiated; volume discounts apply | Negotiated; typically higher list pricing |
Benchmarking context:
Explore Statsig pricing with Vendr to see how the two platforms compare for similar scope and where buyers typically achieve better outcomes.
Split is a feature delivery and experimentation platform with a focus on engineering-led teams. Split's pricing is based on events (feature flag evaluations) and seats, with published pricing for Developer and Team tiers and custom pricing for Enterprise.
| Pricing component | Statsig | Split |
|---|---|---|
| Free tier | Up to 1M MTUs, unlimited seats | Up to 50,000 events/month, 5 seats |
| Entry-level paid tier | Pro: $150/month (1M MTUs, 5 seats) | Developer: $33/month (500K events, 5 seats) |
| Usage-based pricing | MTU-based | Event-based (flag evaluations) |
| Enterprise pricing | Custom; volume discounts common | Custom; volume discounts common |
| Typical annual cost (10M users, 20 seats) | Negotiated; volume discounts apply | Negotiated; event-based pricing can vary widely |
Benchmarking context:
Explore Statsig pricing with Vendr to see how the two platforms compare for similar scope and where buyers typically achieve better outcomes.
Optimizely offers a broader digital experience platform that includes feature management, experimentation, and content management. Optimizely's pricing is custom and typically higher than Statsig's for feature management alone, but may be competitive for buyers consolidating multiple tools.
| Pricing component | Statsig | Optimizely |
|---|---|---|
| Free tier | Up to 1M MTUs, unlimited seats | Limited free trial; no ongoing free tier |
| Entry-level paid tier | Pro: $150/month (1M MTUs, 5 seats) | Custom pricing; no published entry-level tier |
| Usage-based pricing | MTU-based | Custom; often based on impressions or users |
| Enterprise pricing | Custom; volume discounts common | Custom; typically higher for feature management alone |
| Typical annual cost (10M users, 20 seats) | Negotiated; volume discounts apply | Negotiated; often higher for feature management only |
Benchmarking context:
Explore Statsig pricing with Vendr to see how the platforms compare for feature management and experimentation, and where buyers achieve better outcomes.
Based on anonymized Statsig transactions in Vendr's platform over the past 12 months:
Negotiation guidance:
Access Statsig-specific playbooks to help buyers maximize discounts based on their deal type and leverage.
Based on Statsig transactions in Vendr's database over the past 12 months:
Vendr's dataset shows teams with multi-year commitments and competitive leverage often achieved 25–40% lower total cost compared to initial quotes.
Benchmarking context:
Explore Statsig pricing with Vendr to see percentile-based savings outcomes for comparable deals, helping buyers set realistic targets.
Based on anonymized Statsig transactions in Vendr's platform:
Negotiation guidance:
Access Statsig-specific playbooks to help negotiate favorable payment terms, auto-renewal clauses, and usage true-up mechanisms.
Based on Statsig deals in Vendr's dataset:
Benchmarking context:
Explore Statsig pricing with Vendr to help buyers account for hidden costs and negotiate favorable overage terms.
Based on Statsig negotiation patterns in Vendr's database:
Vendr data shows buyers who negotiate in Q4 or at quarter-end often achieve 5–15% better pricing compared to mid-quarter deals.
Negotiation guidance:
Access Statsig-specific playbooks to help negotiate for maximum impact.
An MTU is a unique user exposed to a feature flag or experiment within a calendar month. MTUs are the primary usage metric for Statsig pricing. For example, if a user interacts with a feature flag on multiple days in a month, they count as one MTU for that month.
Yes. Statsig's Free tier supports up to 1 million MTUs and unlimited feature seats, with access to core feature flags, A/B testing, and analytics. The Free tier is designed for startups, side projects, and proof-of-concept deployments.
Statsig integrates with analytics platforms (Amplitude, Mixpanel, Segment), data warehouses (Snowflake, BigQuery, Redshift), and development tools (GitHub, Jira, Slack). SDKs are available for JavaScript, React, Python, Ruby, Java, Go, iOS, Android, and more.
Based on analysis of anonymized Statsig deals in Vendr's dataset, pricing is highly negotiable, particularly for buyers with significant usage volumes, multi-year commitments, or competitive leverage. Recent data from Vendr shows that buyers who prepare carefully and evaluate alternatives often secure meaningfully better pricing.
Key takeaways:
Regardless of platform choice, the most important step is clearly defining requirements, understanding total cost drivers, and benchmarking pricing against comparable deals before committing.
Explore Statsig pricing with Vendr to analyze anonymized transaction data to surface percentile-based benchmarks, competitive comparisons, and observed negotiation patterns, helping buyers assess how a given Statsig quote compares to recent market outcomes for similar scope.
This guide is updated regularly to reflect recent Statsig pricing and negotiation trends. Consider revisiting it ahead of any new purchase or renewal to account for changing market conditions. Last updated: February 2026.