Amplitude vs. LaunchDarkly

Amplitude’s makes it easier than ever to get what you need to fuel your conversion rate optimization program in one platform. With a one-line script tag, you get access to Web Experimentation, Session Replay, Heatmaps, and Web Analytics. This gives teams a full understanding of the customer journey—what works, what doesn’t, and what’s needed to drive higher conversion.

With , you can roll out and control . Create a deployment, install an Experiment SDK (client or server) or use the Evaluation API, then create flags or experiments in the UI. Choose remote or local evaluation, set your bucketing unit, add variants, and target users (including using behavioral cohorts) in a few guided steps.

Because Experimentation is integrated with Amplitude Analytics, remote evaluation can leverage identity resolution and behavioral data for richer targeting and analysis. For trustworthy results, track exposure events: if you’re using the Amplitude Analytics SDK alongside the Experiment SDK, exposures can be logged automatically; otherwise, send a standard “$exposure” event via API.

With , teams get feature management that goes beyond basic flags: remotely configure flags and payloads, target users precisely, and run A/B and multivariate tests with sequential testing or multi‑armed bandits—all guided in product so you can move fast with confidence.

For developers, granular release controls include scheduling, flag prerequisites, and automating approvals so every change is reviewed before it goes live. Developers can also prevent test collisions with mutual exclusion groups, measure long‑term impact with holdout groups, and rely on guardrails like SRM detection and variant‑jumping diagnostics to protect result quality.

Real‑time insights turn feature flagging into continuous learning. With Amplitude’s warehouse‑connected approach, you avoid batch delays typical of warehouse‑native systems, so experiment and flag results update as data arrives. You can run progressive rollouts (adjust rollout percentages and distribution) and monitor key metrics and exposures as you increase traffic, catching issues before they reach all users.

For optimization, multi‑armed bandit experiments automatically reallocate traffic toward better variants on an hourly/daily/weekly cadence once minimum exposure thresholds are met. And because experiments use sequential testing by default, teams can continuously monitor impact and make decisions as evidence accumulates—without waiting for a fixed analysis window.

Self‑service without compromise: Guided setup and clear visualizations ensure product, marketing, and growth teams design, launch, and analyze experiments self-serve. And, with built‑in guardrails like SRM checks and diagnostics to maintain result quality and helps teams move faster with more confidence.

Built‑in planning tools: Minimum Detectable Effect (MDE) guidance and a duration estimator help plan adequate sample sizes and run‑time before launch; a public sample‑size calculator is also available. These tools help avoid underpowered tests and set realistic timelines. Experiment templates save pre‑configured experiment setups (for example, allocation, targeting, and evaluation method) so all teams can launch high‑quality tests quickly and consistently.

Clear, actionable results: Results views surface takeaways and significance notifications, support dimensional analysis, and include diagnostics like cumulative exposure trends and SRM detection—so teams can interpret impact quickly and act with confidence.

We offer support plans for every stage of your growth journey. Start for free with on-demand resources like our and the to start building quickly. Or choose from a paid plan with access to dedicated customer success and professional services teams that guide you through every step of onboarding, implementation, and .

Amplitude’s feature management is included for free on every plan, including our free Starter plan. In other words: it’s completely free.

Yes! Amplitude can replace LaunchDarkly for feature flagging, especially if you want feature management, experimentation, and analytics in one platform.

LaunchDarkly is primarily built for feature delivery, with analytics and experimentation being secondary. Measuring long-term user impact, analyzing behavior, or answering follow-up questions often requires integrating separate analytics tools and data pipelines, like Amplitude.

As teams scale, operational and cost complexity can increase. Managing flags, environments, and pricing dimensions, while also paying for additional analytics or experimentation tools, can add overhead.