Confidence by Spotify

Confidence by Spotify is a warehouse-native platform for experimentation, feature management and analytics. It is best suited to product teams that want tests and releases tied to warehouse data; its managed warehouse makes it possible to start without first wiring infrastructure.

Overview

Confidence combines A/B testing, feature flags, rollouts and analytics around product decisions grounded in warehouse data. Every account gets a managed warehouse, while paid plans can also connect BigQuery, Snowflake, Redshift or Databricks. Analysis runs in inspectable SQL, giving data teams a way to examine the work behind results.

The platform comes from Spotify AB in Stockholm, built by the team that runs more than 10,000 experiments a year. It supports web and mobile, as well as server-side testing.

Key features

Experimentation and releases

A/B tests include sequential testing, automatic guardrails and CUPED variance reduction. These tools make Confidence a fit for teams that need more than simple variant comparisons. Rollouts can ramp from 1% to 100% while guardrails monitor regressions, and one-click reverting provides a direct response when a release causes trouble.

Feature management and analytics

Flags have typed schemas, warehouse-powered targeting and cleanup support. Unlimited flags and seats on Free remove two common early-stage constraints, though the plan's five-surface cap can become limiting as a product spans more experiences. Growth adds sticky assignments and custom targeting.

Analytics takes plain-English questions and returns charts and causes grounded in experiments, metrics and warehouse data. Session Replay overlays real sessions with flags and experiment variants, helping teams investigate why a metric changed rather than viewing the result in isolation.

Confidence is built on the OpenFeature API, and its migration kits rewrite competing SDK code to that standard. Paid warehouse connections and inspectable SQL will particularly appeal to teams that want analysis integrated with their own data environment.

Security and support

Spotify's data-protection compliance program covers GDPR, the California Consumer Privacy Act and PCI DSS. Two-factor authentication protects source code and data, and production access is restricted to developers working on Confidence products. Support scales from email and in-product help on Free to priority support on Growth and direct engineer access plus a dedicated Customer Success Engineer on Enterprise.

Pricing

Confidence is freemium, with a 30-day trial and a free plan. Free costs nothing and includes 75,000 credits/month, unlimited flags and seats, up to five surfaces, Google SSO, EU or US hosting, one-month audit logs, and email and in-product support. It is a meaningful starting tier for small teams, but the credit and surface limits, plus shorter log retention, are real constraints.

One-time credit packs provide 150,000 credits for $129, paid once, 500,000 for $299, paid once, or 1,000,000 for $549, paid once. These can extend usage without moving immediately to a monthly plan, but they do not add Growth's feature set.

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 suits teams that have outgrown Free and need richer controls, but the monthly commitment is a substantial jump from a free account or one-time top-up.

Enterprise has custom pricing and offers custom credit volume, unlimited surfaces, SCIM, role-based access control, custom audit-log retention, SOC 2 Type II compliance, SLA-backed uptime, direct Slack engineer access, migration support and a dedicated Customer Success Engineer. It is the appropriate tier for organizations needing enterprise controls and service commitments. Event connectors are a separate managed export service, charged pay-as-you-go for Confidence Events.

Platforms

Confidence supports web and mobile, with Android and iOS apps, an API and web access. Mobile SDK and server-side testing support make it relevant beyond web-only experimentation.

Who it's for

Choose Confidence if your product team wants experimentation, feature management and warehouse-grounded analytics in one platform, especially if starting with a managed warehouse is valuable. Teams needing more than five surfaces or 75,000 monthly credits must consider paid options. It is less compelling for organizations seeking a low-cost monthly tier with broader surface capacity: Growth is $449 a month, while Enterprise pricing is custom.

Pros and cons

• Pro: A managed warehouse is included at signup, so teams can begin experiments without first setting up their own warehouse connection.
• Pro: Free includes unlimited flags and seats, making it easier to involve a full team without per-seat limits.
• Pro: Sequential testing, CUPED, guardrails and staged rollouts offer a deep experimentation and release toolkit.
• Con: Free is capped at five surfaces and 75,000 credits/month, which may force an upgrade as usage or product scope expands.
• Con: Growth starts at $449 a month, a significant price step for teams that need only a modest increase over Free.
• Con: The free plan retains audit logs for one month, compared with six months on Growth.

Alternatives

Bucketeer is a free, open-source, self-hosted choice with no per-seat pricing for teams that prefer to run the service themselves.

GrowthBook offers a self-hosted free plan with one project, unlimited flags, experiments and traffic; choose it when those open-source deployment terms suit better.

Statsig may fit teams seeking a free tier with 2M events/month, unlimited flag and config checks, 50,000 session replays/month and one-year analytics retention.

Compose is another experimentation option for teams evaluating a usage-billed early adopter plan.

Marpipe may be relevant to teams looking for catalog creative or feed-management tools rather than a warehouse-native experimentation platform.

Amplitude has a free plan with 2M events/month, 10,000 monthly session replays and 2,000 AI feedback records; consider it when those analytics limits align with your needs.

Optimizely Experimentation offers free feature flags and one experiment at a time, a simpler fit for teams that need a limited number of concurrent experiments.

AB Tasty is another experimentation platform to consider.

Compare more options in Experimentation Platforms and A/B Testing Tools.

Verdict

Confidence is a strong choice for product teams that want experimentation and release management connected to warehouse data, with a managed warehouse lowering the barrier to getting started. Its free tier is unusually accommodating on seats and flags, but surface and credit caps matter, and Growth's $449 a month price makes it a harder fit for teams needing only a small step up. Choose it for the integrated warehouse-centered workflow; look elsewhere if those caps or the Growth price do not match your scale.