Confidence by Spotify

Confidence by Spotify is a warehouse-native platform for experimentation and feature management. Teams can run A/B tests, manage feature flags, define metrics from warehouse data, and use those results to inform product decisions. Experiment tools include sequential testing, automatic guardrails, and CUPED variance reduction. Rollouts can ramp releases from 1% to 100% while guardrails monitor regressions, with one-click reverting available. Feature flags provide typed schemas, warehouse-powered targeting, and cleanup support; the Free plan includes unlimited flags and seats. Analytics accepts plain-English questions and returns charts and causes grounded in experiments, metrics, and warehouse data. Every account receives a managed warehouse, while paid plans can connect BigQuery, Snowflake, Redshift, or Databricks and run analysis in inspectable SQL. Session Replay connects real user sessions with flags and experiment variants. Confidence is built on the OpenFeature API and offers migration kits for rewriting competitor SDK code to that standard. The Free plan costs nothing; Growth costs $449 a month. The service supports web and mobile.

Confidence combines experimentation, feature flags, rollout controls, and warehouse-based analytics. Its Free plan includes a managed warehouse, while Growth costs $449 a month and paid plans can connect supported customer warehouses.

It suits product teams running experiments or managing feature releases across web and mobile. Teams can use the managed warehouse or connect a supported customer warehouse on paid plans.

Confidence by Spotify is a warehouse-native platform for experimentation and feature management. It best suits product teams that want to run tests and manage releases alongside their warehouse data. Its free plan is unusually open on seats and flags, while Growth starts at $449 a month.

Overview

Confidence brings A/B testing, feature flags, release rollouts and analytics into one product. Every account gets a managed warehouse, so a team can begin experimenting without first wiring its own data infrastructure. Paid plans can connect BigQuery, Snowflake, Redshift or Databricks, and analysis runs in inspectable SQL. That combination is compelling for teams that want to examine how results are derived, though the warehouse-centered approach is less relevant to teams seeking a standalone testing tool.

Spotify AB operates Confidence from Stockholm, drawing on the Spotify team that runs more than 10,000 experiments a year. Its data-protection program covers GDPR, the California Consumer Privacy Act and PCI DSS. Two-factor authentication protects source code and data, and production access is limited to developers working on Confidence products.

Key features

Experimentation and releases

A/B tests include sequential testing, automatic guardrails and CUPED variance reduction. These tools give product teams ways to monitor experiments and account for variance, making the platform a good fit for ongoing, measured product changes. Rollouts can ramp a release from 1% to 100% while guardrails watch for regressions, with one-click reverting if a problem appears. Server-side testing and mobile SDK support extend the use beyond web experiments.

Flags and analytics

Typed schemas, warehouse-powered targeting and cleanup support make feature flags part of the release workflow rather than a simple on/off switch. Free includes unlimited flags and seats, a meaningful advantage for teams that need broad access without seat limits. Growth adds sticky assignments and custom targeting.

Analytics accepts plain-English questions and returns charts and causes grounded in experiments, metrics and warehouse data. Session Replay overlays real user sessions with flags and experiment variants, helping teams investigate changes in metrics. Confidence is built on the OpenFeature API and provides migration kits that rewrite competitor SDK code to the standard, which can ease adoption for teams moving toward that API.

Events and support

Confidence Events connectors are a managed service for exporting event data, charged pay-as-you-go. Support scales with the plan: Free has email and in-product help, Growth adds priority support, and Enterprise includes direct Slack access to engineers and a dedicated Customer Success Engineer.

Pricing

Confidence is freemium, with a 30-day trial and a free plan at no cost. Free includes 75,000 credits per month, unlimited feature flags and seats, up to 5 surfaces, Google SSO, EU or US hosting, one-month audit logs, and email and in-product support. It is a generous way to start, but the monthly credit allowance, surface cap and short audit-log retention set practical boundaries for larger or more regulated teams.

One-time credit packs are available at $129, paid once for 150,000 credits, $299, paid once for 500,000 credits, and $549, paid once for 1,000,000 credits. These add capacity without changing the plan, making them useful for occasional higher usage; they do not replace Growth’s additional capabilities.

Growth costs $449 a month and includes 750,000 credits, up to 15 surfaces, sticky assignments, custom targeting, AI-powered reports and reviews, six-month audit-log retention, SAML SSO and priority support. It fits teams that need more capacity, targeting and administrative controls, but the price is a substantial commitment compared with starting on Free.

Enterprise has custom pricing and custom credit volume, unlimited surfaces, SCIM, role-based access control, custom audit-log retention, SOC 2 Type II compliance, SLA-backed uptime, migration support and direct engineer access through Slack, plus a dedicated Customer Success Engineer. It is aimed at organizations that need tailored capacity and stronger access, compliance and service terms.

Platforms

Confidence supports Android, iOS, web and API environments, with mobile SDKs and server-side testing. That breadth suits teams managing experiments across applications and services from one platform.

Who it's for

Confidence is a strong fit for product and engineering teams that already rely on warehouse data, want flags and experiments in the same workflow, and value inspectable analysis. The managed warehouse lowers the barrier to trying it, while the free seat and flag allowances make it practical for a team to start together. Teams that need higher credit volumes, more surfaces, longer audit logs or advanced access controls will have to consider Growth or Enterprise.

It is less suited to buyers whose main priority is minimizing recurring cost while accessing paid-plan capabilities: Growth begins at $449 a month. Teams that do not want a warehouse-centered experimentation workflow may also prefer a different kind of testing product.

Pros and cons

• Pro: Free includes unlimited seats and flags, so teams can expand access and flag usage without those specific caps.
• Pro: A managed warehouse is included for every account, letting teams start without connecting their own warehouse.
• Pro: Sequential testing, automatic guardrails, CUPED and monitored rollouts cover both measuring changes and controlling releases.
• Pro: Paid plans can connect major customer warehouses, with analysis available in inspectable SQL.
• Con: Free is capped at 75,000 credits per month and 5 surfaces, which can constrain broader use.
• Con: Growth costs $449 a month, a sizable jump for teams that outgrow Free.
• Con: Free audit logs last one month; longer retention and stronger access controls require a paid plan.

Alternatives

GrowthBook is worth considering for teams that want an open-source, self-hosted option: its free self-hosted plan includes one project, unlimited flags, experiments and traffic. Statsig may suit teams whose priorities align with its free Developer plan, which includes 2 million events per month, unlimited flag and config checks, 50,000 session replays per month, one-year analytics retention and unlimited seats.

Bucketeer is a free, open-source self-hosted alternative with no per-seat pricing. Optimizely Experimentation offers a free Rollouts plan with unlimited feature flags and one experiment at a time, a narrower free option for teams focused on rollouts.

AB Tasty is a paid alternative with Pro and Growth plans. Monetate uses customized pricing for companies and their businesses. Convert Experiences may appeal to teams looking for a paid Growth plan at $399 a month, with limits of 100,000 tested users per month, 1.2 million per year, 5 active projects and 5 active experiences per project. Eppo is a paid, sales-led option with custom pricing and no free plan or trial.

For more options, browse Experimentation Platforms and A/B Testing Tools.

Verdict

Choose Confidence if your team wants experimentation, flags and rollouts built around warehouse data, with a managed warehouse to get started and generous free seats and flags. Its strongest reason to buy is the joined-up workflow from testing through monitored release and analysis. Look elsewhere if you expect to need paid capabilities on a tighter budget: Growth’s $449 a month price is the central trade-off.