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Built for A/B testing. Not just feature flags.

Segmently vs LaunchDarkly

LaunchDarkly is a best-in-class feature flag tool for engineering teams. But if you need a visual A/B testing platform with conversion tracking and a no-code editor, you're in the wrong tool.

Yes

Segmently visual editor

No

LaunchDarkly visual editor

0 devs

Required to run an experiment

Feature-by-feature comparison

FeatureSegmentlyLaunchDarkly
Free tier

LaunchDarkly offers a limited free developer seat, not suitable for production A/B testing

Starting price (production)$0/mo$100+/mo
Primary purposeFeature flags let engineers toggle code on/off at runtime without a deployment. LaunchDarkly is built around this pattern; you wrap features in flag checks, they control the rollout. A/B testing is an add-on that requires code changes for every experiment. Segmently is purpose-built for A/B testing: marketers define experiments visually, no code required.A/B testing platformFeature flag management
Visual editor (no-code)Segmently's visual editor lets anyone click elements on their live website and change text, colors, layout, or HTML, without touching code or needing a developer. Every LaunchDarkly experiment requires an engineer to wrap the relevant code in a flag check and deploy it before any test can run.

LaunchDarkly has no visual editor; all changes require code

InstallationSegmently is a single <script> tag. LaunchDarkly requires installing a platform-specific SDK (separate packages for JavaScript, React, iOS, Android, etc.), initializing it with your SDK key, and evaluating flags inside your code before any experiment can run.One line of HTMLSDK per platform (JS, iOS, Android, etc.)
Anti-flicker protectionWithout anti-flicker, visitors briefly see the original page content before experiment changes are applied, a visible "flash" that corrupts test data and creates a poor user experience. Segmently hides the page synchronously on load, applies all changes, then reveals it. LaunchDarkly has no equivalent mechanism because their changes live in code (evaluated before render), not applied to the DOM afterward.

LaunchDarkly does not offer built-in anti-flicker for frontend experiments

Lightweight snippet (< 10 KB)Segmently's snippet is under 10 KB minified and gzipped. LaunchDarkly's JavaScript SDK is a full-featured library that includes the flag evaluation engine, streaming connection, event queue, and user context management, typically 50–100 KB or more. For client-side A/B testing this weight directly impacts page load performance; Segmently is designed to be as small as possible.

LaunchDarkly's JS SDK is substantially heavier than Segmently's snippet

Conversion goal trackingIn Segmently, you define a conversion goal by clicking the target element or typing a URL, with no code needed. LaunchDarkly requires you to manually instrument every metric by calling their track() method in your codebase, then connecting the metric to an experiment flag. Every new goal means a code change and deployment.

LaunchDarkly supports metric-based experiments but requires custom event instrumentation

Multi-page funnel goalsTrack conversions across a sequence of pages, e.g., landing page → product page → checkout → purchase complete. Segmently attributes each step to the variant the visitor was bucketed into. LaunchDarkly has no built-in funnel concept; you'd need to manually stitch together events from an external analytics platform.
Scroll depth conversion goalA scroll depth goal fires when a visitor scrolls past a defined depth threshold. LaunchDarkly has no concept of scroll goals; all metrics require manual track() calls in your codebase for whatever signal you choose to instrument. Segmently tracks scroll milestones automatically and can use them as custom event goals, but does not yet offer a native scroll goal type in the UI.

Segmently: achievable via custom JS event; LaunchDarkly has no scroll goal concept

CSS/XPath element selectorsSegmently lets you target page elements using CSS selectors (like .hero-button) or XPath (paste directly from browser DevTools). This means you can visually modify any element on any page without writing or deploying code. LaunchDarkly has no element selector concept; all UI changes must be written in your codebase.
Multiple variants per experiment (A/B/C/n)Both tools support testing more than two variants simultaneously. Segmently lets you add as many variants as you need, each with its own traffic weight, all configured visually. LaunchDarkly supports multiple flag variations (strings, JSON, numbers) mapped to treatment groups, but each variant requires code to implement the actual UI change.

LaunchDarkly supports multiple flag variations; Segmently supports multiple visual variants

Analytics dashboard (built-in)Segmently shows per-variant visitor counts, conversion rates, statistical significance, and trend charts in one place, with no external tool needed. LaunchDarkly provides basic experiment metrics but for anything beyond pass/fail significance you typically need to export to Amplitude, Mixpanel, or another analytics platform.

Basic experiment metrics available; deep analytics requires external tools

Statistical significanceBoth tools calculate whether experiment results are statistically meaningful or just noise. Segmently uses a chi-squared test and displays confidence levels directly in the analytics view, so you know exactly when a variant has won.
Persistent variant assignmentOnce a visitor is bucketed into a variant they always see that variant on return visits. Segmently stores assignments in a first-party cookie and database. LaunchDarkly evaluations are also consistent because the same user key always resolves to the same flag variation given an unchanged rollout configuration, though this requires passing a stable user key at SDK initialization.
Only first-party cookiesSegmently stores visitor assignments in a first-party cookie on your own domain with no third-party tracking. LaunchDarkly's client-side JavaScript SDK uses localStorage and a custom user key rather than cookies, so the comparison is not direct — but the user key can be any value including emails, meaning PII handling depends entirely on how the developer initializes the SDK.

Segmently: first-party cookie only; LaunchDarkly: SDK-managed, no cookie by default

Non-PII visitor trackingSegmently visitor IDs are randomly generated UUIDs set automatically with no personal data. LaunchDarkly requires the developer to supply a user key at SDK initialization; there is no enforcement against passing an email address or user ID as the key, so whether tracking is non-PII depends entirely on the implementation.

Segmently uses random UUID visitor IDs; LaunchDarkly user keys are developer-defined

Traffic percentage controlLimit the experiment to a percentage of visitors, useful for cautious rollouts. Both tools support this. Segmently configures it per-experiment in the UI; LaunchDarkly configures it per-flag via rollout rules in code.
URL targeting rulesSegmently evaluates URL rules automatically; just type the URL pattern (exact, contains, regex) and experiments only activate on matching pages. With LaunchDarkly, the URL is not automatically available to the flag evaluator; you must pass it as a custom attribute in your SDK initialization code, which requires a developer.

Requires custom targeting attributes to be passed at SDK evaluation time

Device targetingSegmently automatically detects desktop, mobile, and tablet visitors and applies targeting rules without any code. LaunchDarkly requires you to detect the device type in your code and pass it as a user attribute to the SDK before the flag can use it, another engineering task before a marketer can configure anything.

Device context must be passed programmatically

SPA / React supportBoth tools work with single-page apps. LaunchDarkly's React SDK is excellent because their flags live in code (no DOM re-application needed). Segmently handles SPA navigation by patching history.pushState and re-applying visual changes after each route change, with anti-flicker on every transition.
Team management & rolesBoth tools allow inviting teammates and assigning roles. Segmently includes team management on all plans including free. LaunchDarkly's role-based access control is more granular but targets engineering teams managing flag permissions.
REST APIBoth offer REST APIs for programmatic management. Segmently's API lets you create, read, and update experiments and retrieve results. LaunchDarkly's API is more extensive (flags are the core data model), but for growth teams running A/B tests, Segmently's API covers every necessary use case.
Non-developer setupWith Segmently, a marketer or growth manager can create a complete A/B test: define variants, set targeting, pick a conversion goal, and launch, without writing a single line of code or asking engineering for anything. With LaunchDarkly, every experiment starts with a developer adding flag checks to the codebase and deploying.

LaunchDarkly requires developers to wire every experiment and flag

Self-serve signupBoth tools allow self-serve account creation. Segmently is ready to use within minutes of signing up.
Experiment schedulingSegmently lets marketers schedule experiments to start and end on specific dates without touching code. On Professional tier and above, set a launch date aligned with a campaign or product release and Segmently handles the rest. LaunchDarkly has no equivalent: activating or deactivating an experiment flag requires a developer to update the rollout rules and deploy.

LaunchDarkly has no experiment scheduling; start/stop requires manual flag updates

Split URL testingSplit URL testing redirects visitors to a different URL to test full page redesigns end-to-end. LaunchDarkly is a feature flag and full-stack experimentation platform; it has no concept of redirect experiments or visual A/B tests. Segmently supports split URL testing via a secure handoff parameter that ensures page views and conversion goals are correctly attributed on the destination page.

LaunchDarkly is a feature flag platform, not a CRO tool; no redirect experiment support

Slack experiment notificationsSegmently sends purpose-built Slack alerts for 15 experiment and org events: experiment started, paused, archived, statistical significance reached, member joined, billing changed, and more. Each is individually toggleable per workspace. LaunchDarkly can send Slack messages on flag changes but lacks the experiment-lifecycle event model that growth teams actually need.

LaunchDarkly has general flag change notifications; Segmently fires experiment-specific events to Slack

GA4 / Mixpanel / webhook integrationsSegmently's Business tier includes native GA4 and Mixpanel integrations plus outgoing webhooks so experiment assignment and conversion events land in your analytics stack automatically with no extra code. LaunchDarkly can push data to analytics tools but it requires manual SDK instrumentation: developers must call the analytics SDK alongside the LaunchDarkly SDK for every metric.

LaunchDarkly integrates with analytics tools but requires SDK-level event wiring; Segmently connects natively at Business tier

Per-experiment activation delaySegmently lets you configure an activation delay per experiment that controls exactly how long after changes are applied before the page is revealed. This is critical for sites where on-page scripts or fonts need a moment to load before the experiment is visible. LaunchDarkly has no equivalent because their changes live in code and render inline; there is no DOM application step to delay.
Analytics data export (CSV / JSON)Every Segmently experiment has one-click CSV and JSON export of full analytics results. LaunchDarkly's built-in experiment metrics are limited; detailed reporting usually requires routing data to Amplitude, Mixpanel, or a data warehouse and exporting from there.

Segmently exports results on demand; LaunchDarkly's metrics typically require an external analytics platform for detailed export

Live logs & real-time event streamLaunchDarkly provides an audit log of flag changes and a flag activity feed. Segmently does not yet have a real-time experiment event stream showing live assignments and goal fires; this is on the roadmap as a Medium Priority item.

Segmently roadmap item; LaunchDarkly has flag audit history but not experiment live logs

Change history per experimentLaunchDarkly maintains a comprehensive change history for every feature flag, showing who changed what and when, which doubles as experiment change history. Segmently does not yet have per-experiment change history, though it is on the roadmap as a Medium Priority item.

LaunchDarkly tracks all flag changes with timestamps; Segmently roadmap item

Information based on publicly available documentation as of February 2026.

LaunchDarkly is a developer tool. Segmently is a growth tool.

LaunchDarkly excels at what it was built for: safely rolling out code changes via feature flags, managing kill switches, and targeting specific user cohorts at the SDK level. If you're an engineering team managing deployment risk, it's excellent.

But A/B testing for growth (changing button colors, testing headlines, tracking which landing page converts better) requires a visual editor, built-in analytics, and anti-flicker protection. None of these exist in LaunchDarkly without significant custom development work.

Every experiment in LaunchDarkly needs a developer

To run an A/B test in LaunchDarkly, an engineer must: create the flag, add an SDK call in the codebase, deploy the code change, and then wire up any conversion events manually. A marketing team cannot run an experiment independently.

In Segmently, a marketer opens the visual editor, clicks an element, types new text or CSS, sets a conversion goal, and clicks launch. No developer needed for basic experiments.

When LaunchDarkly is the right choice

If your primary goal is gradual rollouts, canary deployments, and server-side feature gating for engineers: LaunchDarkly is purpose-built for that. If you need frontend conversion rate optimization, visual A/B testing, and an analytics platform your whole team can use, Segmently is the better fit.

A/B testing your whole team can use

No code required for most experiments. Visual editor, conversion tracking, and anti-flicker, all included.