How do you define 'tested users'?

A tested user is any visitor included in any experiment (A/B Testing, Personalization, or Survey) and visible in the reporting area. For example, if 500 users see the control page and 500 see the variation page in an A/B test, you consume 1,000 tested users.

Can the Omniconvert code be installed using Google Tag Manager?

Yes, you can install our code using GTM. However, this may slow down code deployment, causing issues like screen flickering during A/B tests or delayed triggering for popups.

Can Omniconvert be used for any type of website?

Omniconvert works for most self-hosted websites, including custom-coded sites, CMS platforms (e.g., WordPress, Joomla, Drupal), and eCommerce platforms (e.g., Shopify, Magento, BigCommerce). The main requirement is access to the source code to paste in Omniconvert's code.

Convert vs LaunchDarkly vs Omniconvert

Comprehensive comparison of experimentation and feature management platforms. Scroll down on the right to view all rows.

Category	Convert Experiences	LaunchDarkly	Omniconvert	Comparison in Detail (Info)
Website URL This row lists the official websites for Convert and LaunchDarkly and does not represent a functional comparison.	convert.com This row lists the official websites for Convert and LaunchDarkly and does not represent a functional comparison.	launchdarkly.com This row lists the official websites for Convert and LaunchDarkly and does not represent a functional comparison.	omniconvert.com This row lists the official websites for Convert and LaunchDarkly and does not represent a functional comparison.	This row lists the official websites for Convert and LaunchDarkly and does not represent a functional comparison.
Category or type Convert is a website experimentation platform, while LaunchDarkly is a feature management and flagging platform.	A/B testing and personalization website with full-stack experimentation capabilities Convert is a website experimentation platform, while LaunchDarkly is a feature management and flagging platform.	Feature flagging and experimentation platform Convert is a website experimentation platform, while LaunchDarkly is a feature management and flagging platform.	Conversion rate optimization and web experimentation website Convert is a website experimentation platform, while LaunchDarkly is a feature management and flagging platform.	Convert is a website experimentation platform, while LaunchDarkly is a feature management and flagging platform.
Primary use cases Convert is used to run controlled A/B and multivariate experiments on websites, whereas LaunchDarkly is used to manage feature releases and progressive rollouts.	Website A/B testing, split testing, personalization, full-stack experiments, feature flagging, privacy-focused experimentation for growth teams Convert is used to run controlled A/B and multivariate experiments on websites, whereas LaunchDarkly is used to manage feature releases and progressive rollouts.	Feature flagging, A/B testing, progressive delivery, and experimentation for developers Convert is used to run controlled A/B and multivariate experiments on websites, whereas LaunchDarkly is used to manage feature releases and progressive rollouts.	A/B testing, personalization, behavioral targeting, conversion optimization Convert is used to run controlled A/B and multivariate experiments on websites, whereas LaunchDarkly is used to manage feature releases and progressive rollouts.	Convert is used to run controlled A/B and multivariate experiments on websites, whereas LaunchDarkly is used to manage feature releases and progressive rollouts.
Target business size Convert typically serves digital teams building experimentation programs, while LaunchDarkly is widely adopted by engineering teams managing complex product deployments.	Privacy-aware mid-market and enterprise teams replacing tools such as Google Optimize, plus agencies running programs for clients Convert typically serves digital teams building experimentation programs, while LaunchDarkly is widely adopted by engineering teams managing complex product deployments.	Mid to large enterprises, especially those in tech and SaaS Convert typically serves digital teams building experimentation programs, while LaunchDarkly is widely adopted by engineering teams managing complex product deployments.	Small businesses, mid-market firms, enterprise teams Convert typically serves digital teams building experimentation programs, while LaunchDarkly is widely adopted by engineering teams managing complex product deployments.	Convert typically serves digital teams building experimentation programs, while LaunchDarkly is widely adopted by engineering teams managing complex product deployments.
Pricing model Convert pricing generally scales with tested visitor volume, while LaunchDarkly pricing reflects seats, environments, and feature usage.	Tiered SaaS plans based on tests, features, and support level, with enterprise-grade features and predictable billing Convert pricing generally scales with tested visitor volume, while LaunchDarkly pricing reflects seats, environments, and feature usage.	Subscription-based pricing with tiers based on user seats, data usage, and features Convert pricing generally scales with tested visitor volume, while LaunchDarkly pricing reflects seats, environments, and feature usage.	Tier-based SaaS subscription pricing Convert pricing generally scales with tested visitor volume, while LaunchDarkly pricing reflects seats, environments, and feature usage.	Convert pricing generally scales with tested visitor volume, while LaunchDarkly pricing reflects seats, environments, and feature usage.
Free plan available LaunchDarkly provides limited entry options for smaller projects, whereas Convert primarily operates through paid experimentation plans.	Free 15-day trial with access to premium features and no credit card requirement LaunchDarkly provides limited entry options for smaller projects, whereas Convert primarily operates through paid experimentation plans.	No free plan available, but a free trial is offered LaunchDarkly provides limited entry options for smaller projects, whereas Convert primarily operates through paid experimentation plans.	No permanent free tier offering available LaunchDarkly provides limited entry options for smaller projects, whereas Convert primarily operates through paid experimentation plans.	LaunchDarkly provides limited entry options for smaller projects, whereas Convert primarily operates through paid experimentation plans.
Free trial length LaunchDarkly offers structured evaluation access, while Convert typically requires onboarding into a paid experimentation plan.	15-day free trial period LaunchDarkly offers structured evaluation access, while Convert typically requires onboarding into a paid experimentation plan.	14-day free trial with full feature access LaunchDarkly offers structured evaluation access, while Convert typically requires onboarding into a paid experimentation plan.	Trial access provided through account request LaunchDarkly offers structured evaluation access, while Convert typically requires onboarding into a paid experimentation plan.	LaunchDarkly offers structured evaluation access, while Convert typically requires onboarding into a paid experimentation plan.
Starting price per month LaunchDarkly presents tiered pricing aligned with feature management scale, while Convert reflects the cost structure of a dedicated experimentation solution.	Public references indicating plans with full-stack features starting around [399 USD] per month, and older external articles citing the Kickstart entry plan around [699 USD] per month LaunchDarkly presents tiered pricing aligned with feature management scale, while Convert reflects the cost structure of a dedicated experimentation solution.	[$8] per user per month for the standard plan LaunchDarkly presents tiered pricing aligned with feature management scale, while Convert reflects the cost structure of a dedicated experimentation solution.	Entry-level monthly subscription published by the vendor LaunchDarkly presents tiered pricing aligned with feature management scale, while Convert reflects the cost structure of a dedicated experimentation solution.	LaunchDarkly presents tiered pricing aligned with feature management scale, while Convert reflects the cost structure of a dedicated experimentation solution.
Billing frequency Convert and LaunchDarkly approach billing frequency from fundamentally different optimization perspectives.	Monthly payments with options for longer commitments, depending on plan and traffic Convert and LaunchDarkly approach billing frequency from fundamentally different optimization perspectives.	Monthly or annual billing Convert and LaunchDarkly approach billing frequency from fundamentally different optimization perspectives.	Monthly and annual subscription billing Convert and LaunchDarkly approach billing frequency from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach billing frequency from fundamentally different optimization perspectives.
Contract term required Convert and LaunchDarkly approach contract term required from fundamentally different optimization perspectives.	Subscription contracts for each plan, with higher tiers oriented to longer-term experimentation programs Convert and LaunchDarkly approach contract term required from fundamentally different optimization perspectives.	Subscription commitment based on the selected plan Convert and LaunchDarkly approach contract term required from fundamentally different optimization perspectives.	Contract is optional, depending on the selected plan Convert and LaunchDarkly approach contract term required from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach contract term required from fundamentally different optimization perspectives.
Additional or hidden costs Convert and LaunchDarkly approach additional or hidden costs from fundamentally different optimization perspectives.	Costs scale with test volume, advanced functionality such as full-stack and feature flags, and service level or support packages Convert and LaunchDarkly approach additional or hidden costs from fundamentally different optimization perspectives.	Pricing increases based on user seats and usage volume Convert and LaunchDarkly approach additional or hidden costs from fundamentally different optimization perspectives.	Traffic-based usage overage charges Convert and LaunchDarkly approach additional or hidden costs from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach additional or hidden costs from fundamentally different optimization perspectives.
Types of tests supported Convert supports A/B, multivariate, and split URL testing for websites, while LaunchDarkly focuses on feature toggles rather than structured experimentation.	A/B tests, split tests, multivariate patterns through advanced goals, A/A tests, full-stack experiments for backend behavior, SPA experiments Convert supports A/B, multivariate, and split URL testing for websites, while LaunchDarkly focuses on feature toggles rather than structured experimentation.	A/B testing, feature flagging experiments, and progressive delivery Convert supports A/B, multivariate, and split URL testing for websites, while LaunchDarkly focuses on feature toggles rather than structured experimentation.	A/B testing, split testing, and multivariate testing Convert supports A/B, multivariate, and split URL testing for websites, while LaunchDarkly focuses on feature toggles rather than structured experimentation.	Convert supports A/B, multivariate, and split URL testing for websites, while LaunchDarkly focuses on feature toggles rather than structured experimentation.
Client-side testing support Convert enables client-side experimentation through a website snippet, whereas LaunchDarkly client-side SDKs are used for feature control rather than test variations.	Browser-side A/B and split testing delivered via JavaScript snippet with support for SPAs and dynamic websites Convert enables client-side experimentation through a website snippet, whereas LaunchDarkly client-side SDKs are used for feature control rather than test variations.	Supports client-side feature flagging and A/B testing Convert enables client-side experimentation through a website snippet, whereas LaunchDarkly client-side SDKs are used for feature control rather than test variations.	Full browser-based client-side testing is supported Convert enables client-side experimentation through a website snippet, whereas LaunchDarkly client-side SDKs are used for feature control rather than test variations.	Convert enables client-side experimentation through a website snippet, whereas LaunchDarkly client-side SDKs are used for feature control rather than test variations.
Server-side testing support Both Convert and LaunchDarkly support server-side implementations, though Convert emphasizes experimentation logic while LaunchDarkly emphasizes feature rollout control.	Full-stack experimentation with Node, JavaScript, and PHP SDKs that support backend logic tests and server-side feature experiments Both Convert and LaunchDarkly support server-side implementations, though Convert emphasizes experimentation logic while LaunchDarkly emphasizes feature rollout control.	Supports server-side feature flagging and experimentation Both Convert and LaunchDarkly support server-side implementations, though Convert emphasizes experimentation logic while LaunchDarkly emphasizes feature rollout control.	Native server-side experiment execution is supported Both Convert and LaunchDarkly support server-side implementations, though Convert emphasizes experimentation logic while LaunchDarkly emphasizes feature rollout control.	Both Convert and LaunchDarkly support server-side implementations, though Convert emphasizes experimentation logic while LaunchDarkly emphasizes feature rollout control.
Feature flagging support LaunchDarkly centers its platform around advanced feature flag management, while Convert includes feature controls as part of broader experimentation workflows.	Native feature flagging with gradual rollouts, feature gating, and audience targeting integrated into a full-stack product LaunchDarkly centers its platform around advanced feature flag management, while Convert includes feature controls as part of broader experimentation workflows.	Extensive feature flagging support for development and testing LaunchDarkly centers its platform around advanced feature flag management, while Convert includes feature controls as part of broader experimentation workflows.	Production-ready feature flagging is available LaunchDarkly centers its platform around advanced feature flag management, while Convert includes feature controls as part of broader experimentation workflows.	LaunchDarkly centers its platform around advanced feature flag management, while Convert includes feature controls as part of broader experimentation workflows.
Traffic allocation methods Convert and LaunchDarkly approach traffic allocation methods from fundamentally different optimization perspectives.	Flexible traffic splitting for experiments, support for A/A validation, percentage allocation, and advanced goals configuration Convert and LaunchDarkly approach traffic allocation methods from fundamentally different optimization perspectives.	Allocates traffic for feature flags, experiments, and controlled rollouts Convert and LaunchDarkly approach traffic allocation methods from fundamentally different optimization perspectives.	Dynamic percentage-based traffic allocation Convert and LaunchDarkly approach traffic allocation methods from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach traffic allocation methods from fundamentally different optimization perspectives.
Targeting and segmentation options Convert applies segmentation directly to experiment audiences, whereas LaunchDarkly targets feature exposure based on user attributes and environments.	Rich targeting with rules around URL, device, geolocation, cookies, events, and audiences, plus advanced goals and API support Convert applies segmentation directly to experiment audiences, whereas LaunchDarkly targets feature exposure based on user attributes and environments.	Advanced targeting based on user attributes, behavioral data, and feature flag conditions Convert applies segmentation directly to experiment audiences, whereas LaunchDarkly targets feature exposure based on user attributes and environments.	Behavioral, device, geographic, cookie-based targeting Convert applies segmentation directly to experiment audiences, whereas LaunchDarkly targets feature exposure based on user attributes and environments.	Convert applies segmentation directly to experiment audiences, whereas LaunchDarkly targets feature exposure based on user attributes and environments.
Personalization rules engine Convert personalizes website experiences within experiments, while LaunchDarkly controls which features users see rather than dynamically personalizing content.	Personalization rules linked to audiences and goals, enabling different experiences for defined segments across experiments Convert personalizes website experiences within experiments, while LaunchDarkly controls which features users see rather than dynamically personalizing content.	Personalization through feature flags and custom user targeting rules Convert personalizes website experiences within experiments, while LaunchDarkly controls which features users see rather than dynamically personalizing content.	Rule-based personalization engine included Convert personalizes website experiences within experiments, while LaunchDarkly controls which features users see rather than dynamically personalizing content.	Convert personalizes website experiences within experiments, while LaunchDarkly controls which features users see rather than dynamically personalizing content.
Recommendation engine available Convert and LaunchDarkly approach recommendation engine available from fundamentally different optimization perspectives.	Focus on targeting and experimentation, with external sources describing privacy-first testing rather than explicit recommendation algorithms Convert and LaunchDarkly approach recommendation engine available from fundamentally different optimization perspectives.	Not available Convert and LaunchDarkly approach recommendation engine available from fundamentally different optimization perspectives.	Recommendation engine functionality not included Convert and LaunchDarkly approach recommendation engine available from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach recommendation engine available from fundamentally different optimization perspectives.
Number of concurrent experiments allowed Convert and LaunchDarkly approach number of concurrent experiments allowed from fundamentally different optimization perspectives.	Concurrency governed by plan scope and performance, with enterprise positioning encouraging broad experimentation portfolios Convert and LaunchDarkly approach number of concurrent experiments allowed from fundamentally different optimization perspectives.	Unlimited experiments depending on the selected tier and usage limits Convert and LaunchDarkly approach number of concurrent experiments allowed from fundamentally different optimization perspectives.	Concurrent experiment capacity controlled by subscription plan Convert and LaunchDarkly approach number of concurrent experiments allowed from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach number of concurrent experiments allowed from fundamentally different optimization perspectives.
Built-in reporting depth Convert delivers statistical reporting for experiment outcomes, whereas LaunchDarkly reports on feature adoption and rollout metrics.	Detailed reports with advanced goals, fast and reliable reporting, and analytics integrations for experimental outcomes Convert delivers statistical reporting for experiment outcomes, whereas LaunchDarkly reports on feature adoption and rollout metrics.	Advanced reporting with real-time tracking for feature flags and experiments Convert delivers statistical reporting for experiment outcomes, whereas LaunchDarkly reports on feature adoption and rollout metrics.	CRO specific performance reporting and dashboards Convert delivers statistical reporting for experiment outcomes, whereas LaunchDarkly reports on feature adoption and rollout metrics.	Convert delivers statistical reporting for experiment outcomes, whereas LaunchDarkly reports on feature adoption and rollout metrics.
Funnel and journey analysis Convert and LaunchDarkly approach funnel and journey analysis from fundamentally different optimization perspectives.	Experiment goals used to track funnel progression, with integrations enabling deeper product and funnel analytics Convert and LaunchDarkly approach funnel and journey analysis from fundamentally different optimization perspectives.	Funnel analysis through feature flag experimentation and user journey tracking Convert and LaunchDarkly approach funnel and journey analysis from fundamentally different optimization perspectives.	Funnel tracking and conversion journey visualization are available Convert and LaunchDarkly approach funnel and journey analysis from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach funnel and journey analysis from fundamentally different optimization perspectives.
Revenue attribution capabilities Convert and LaunchDarkly approach revenue attribution capabilities from fundamentally different optimization perspectives.	Case studies describing revenue impact and advanced goals for conversion metrics, with integration paths into analytics websites and backend conversions Convert and LaunchDarkly approach revenue attribution capabilities from fundamentally different optimization perspectives.	Advanced revenue attribution based on feature flag experiments and user interactions Convert and LaunchDarkly approach revenue attribution capabilities from fundamentally different optimization perspectives.	Revenue attribution tied to experiments supported Convert and LaunchDarkly approach revenue attribution capabilities from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach revenue attribution capabilities from fundamentally different optimization perspectives.
Session replay available Session replay is not a defining capability for either Convert or LaunchDarkly in this comparison.	The website focuses on experimentation and privacy, without session replay being advertised as a native feature in the primary documentation Session replay is not a defining capability for either Convert or LaunchDarkly in this comparison.	Available through integrations with third-party tools Session replay is not a defining capability for either Convert or LaunchDarkly in this comparison.	Full native session recording and replay are supported Session replay is not a defining capability for either Convert or LaunchDarkly in this comparison.	Session replay is not a defining capability for either Convert or LaunchDarkly in this comparison.
Heatmaps available Heatmaps are not central to either Convert or LaunchDarkly, as both prioritize experimentation or feature management.	The core features list does not highlight native heatmaps. Experimentation relies on goals and external analytics rather than built-in heatmap visualization Heatmaps are not central to either Convert or LaunchDarkly, as both prioritize experimentation or feature management.	Not available Heatmaps are not central to either Convert or LaunchDarkly, as both prioritize experimentation or feature management.	Full click, scroll, and attention heatmaps are supported Heatmaps are not central to either Convert or LaunchDarkly, as both prioritize experimentation or feature management.	Heatmaps are not central to either Convert or LaunchDarkly, as both prioritize experimentation or feature management.
Form analytics available Convert evaluates form changes within structured website experiments, while LaunchDarkly does not focus on form analytics.	Form performance tracked through experiment goals and event integrations instead of a separate “form analytics” module Convert evaluates form changes within structured website experiments, while LaunchDarkly does not focus on form analytics.	Form analytics through feature flags integrated with forms and user actions Convert evaluates form changes within structured website experiments, while LaunchDarkly does not focus on form analytics.	Full form interaction analytics supported Convert evaluates form changes within structured website experiments, while LaunchDarkly does not focus on form analytics.	Convert evaluates form changes within structured website experiments, while LaunchDarkly does not focus on form analytics.
Statistical approach Convert applies formal statistical validation to experiment results, whereas LaunchDarkly focuses on rollout metrics rather than hypothesis testing.	A/B testing engine with standard hypothesis testing, support content on validation through A/A experiments, and full-stack experiment design Convert applies formal statistical validation to experiment results, whereas LaunchDarkly focuses on rollout metrics rather than hypothesis testing.	Advanced statistical analysis for experiments and feature rollouts Convert applies formal statistical validation to experiment results, whereas LaunchDarkly focuses on rollout metrics rather than hypothesis testing.	Frequentist statistical testing models Convert applies formal statistical validation to experiment results, whereas LaunchDarkly focuses on rollout metrics rather than hypothesis testing.	Convert applies formal statistical validation to experiment results, whereas LaunchDarkly focuses on rollout metrics rather than hypothesis testing.
Sample size calculator available Convert provides experiment planning tools such as sample size estimation, while LaunchDarkly does not center its platform on statistical experiment design.	Documentation and blogs emphasize methodology for proper experimentation. A standalone public calculator is not highlighted in the retrieved sources Convert provides experiment planning tools such as sample size estimation, while LaunchDarkly does not center its platform on statistical experiment design.	Available for calculating sample sizes based on experiment goals Convert provides experiment planning tools such as sample size estimation, while LaunchDarkly does not center its platform on statistical experiment design.	Sample size estimation tools are included in the testing interface Convert provides experiment planning tools such as sample size estimation, while LaunchDarkly does not center its platform on statistical experiment design.	Convert provides experiment planning tools such as sample size estimation, while LaunchDarkly does not center its platform on statistical experiment design.
Experiment duration estimator Convert and LaunchDarkly approach experiment duration estimator from fundamentally different optimization perspectives.	Guidance around A/A experiments and baseline establishment, with experiment length driven by data sufficiency and visitor volume rather than the automated estimator in marketing pages Convert and LaunchDarkly approach experiment duration estimator from fundamentally different optimization perspectives.	Available for A/B test and feature flag experiments Convert and LaunchDarkly approach experiment duration estimator from fundamentally different optimization perspectives.	Duration estimation displayed per test Convert and LaunchDarkly approach experiment duration estimator from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach experiment duration estimator from fundamentally different optimization perspectives.
Automatic stopping rules Convert includes controls for managing experiment duration and stopping logic, whereas LaunchDarkly manages feature exposure rather than test stopping rules.	Support for programmatic control of goals and full-stack experiments. Automated decision rules are not strongly marketed as a separate feature in the retrieved material Convert includes controls for managing experiment duration and stopping logic, whereas LaunchDarkly manages feature exposure rather than test stopping rules.	Automatic stopping for experiments based on statistical significance Convert includes controls for managing experiment duration and stopping logic, whereas LaunchDarkly manages feature exposure rather than test stopping rules.	Rule-based automatic stopping controls are available Convert includes controls for managing experiment duration and stopping logic, whereas LaunchDarkly manages feature exposure rather than test stopping rules.	Convert includes controls for managing experiment duration and stopping logic, whereas LaunchDarkly manages feature exposure rather than test stopping rules.
Support for holdout groups Convert and LaunchDarkly approach support for holdout groups from fundamentally different optimization perspectives.	Feature flagging and full-stack experimentation, allowing control and treatment groups through audience definitions and SDK logic Convert and LaunchDarkly approach support for holdout groups from fundamentally different optimization perspectives.	Supports holdout groups for A/B testing and feature flag rollouts Convert and LaunchDarkly approach support for holdout groups from fundamentally different optimization perspectives.	Dedicated control and holdout segmentation supported Convert and LaunchDarkly approach support for holdout groups from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach support for holdout groups from fundamentally different optimization perspectives.
CMS integrations Convert integrates directly with website CMS platforms for experimentation, while LaunchDarkly integrates through SDKs for feature control.	JavaScript snippet and SPA support integrate with most CMS setups. Documentation shows use with many site stacks and SPA frameworks Convert integrates directly with website CMS platforms for experimentation, while LaunchDarkly integrates through SDKs for feature control.	Integrates with various CMS systems via feature flagging and experimentation SDKs Convert integrates directly with website CMS platforms for experimentation, while LaunchDarkly integrates through SDKs for feature control.	WordPress and Shopify content system integrations Convert integrates directly with website CMS platforms for experimentation, while LaunchDarkly integrates through SDKs for feature control.	Convert integrates directly with website CMS platforms for experimentation, while LaunchDarkly integrates through SDKs for feature control.
E-commerce platform integrations Convert and LaunchDarkly approach e-commerce platform integrations from fundamentally different optimization perspectives.	Features and case studies emphasizing Shopify testing and revenue lift, including a mention of Shopify testing on the product site Convert and LaunchDarkly approach e-commerce platform integrations from fundamentally different optimization perspectives.	Integrates with e-commerce platforms for feature flagging and A/B testing Convert and LaunchDarkly approach e-commerce platform integrations from fundamentally different optimization perspectives.	Shopify, WooCommerce Convert and LaunchDarkly approach e-commerce platform integrations from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach e-commerce platform integrations from fundamentally different optimization perspectives.
Analytics integrations Convert connects experiment results to analytics platforms, whereas LaunchDarkly integrates rollout data into engineering and monitoring systems.	Integrations guide showing paths for sending experiment data to analytics websites and receiving backend conversions Convert connects experiment results to analytics platforms, whereas LaunchDarkly integrates rollout data into engineering and monitoring systems.	Integrates with analytics platforms (Mixpanel, Google Analytics, and others) Convert connects experiment results to analytics platforms, whereas LaunchDarkly integrates rollout data into engineering and monitoring systems.	Google Analytics integration Convert connects experiment results to analytics platforms, whereas LaunchDarkly integrates rollout data into engineering and monitoring systems.	Convert connects experiment results to analytics platforms, whereas LaunchDarkly integrates rollout data into engineering and monitoring systems.
CDP or data warehouse integrations Convert and LaunchDarkly approach cdp or data warehouse integrations from fundamentally different optimization perspectives.	Integration article describing experiment event export and backend event flows, enabling links into warehouses and CDPs through analytics tooling Convert and LaunchDarkly approach cdp or data warehouse integrations from fundamentally different optimization perspectives.	Integrates with major CDPs and data warehouses for experimentation Convert and LaunchDarkly approach cdp or data warehouse integrations from fundamentally different optimization perspectives.	Data warehouse export available through API Convert and LaunchDarkly approach cdp or data warehouse integrations from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach cdp or data warehouse integrations from fundamentally different optimization perspectives.
Marketing automation or CRM integrations Convert integrates experimentation insights into marketing ecosystems, while LaunchDarkly integrations are typically aligned with engineering workflows.	Integration paths for sending experiment data into analytics stacks that feed marketing automation and CRM pipelines Convert integrates experimentation insights into marketing ecosystems, while LaunchDarkly integrations are typically aligned with engineering workflows.	Integrates with CRM tools like Salesforce and marketing platforms for user segmentation Convert integrates experimentation insights into marketing ecosystems, while LaunchDarkly integrations are typically aligned with engineering workflows.	HubSpot integration Convert integrates experimentation insights into marketing ecosystems, while LaunchDarkly integrations are typically aligned with engineering workflows.	Convert integrates experimentation insights into marketing ecosystems, while LaunchDarkly integrations are typically aligned with engineering workflows.
Tag manager integrations Convert and LaunchDarkly approach tag manager integrations from fundamentally different optimization perspectives.	Snippet-based deployment compatible with tag managers for web and SPA environments Convert and LaunchDarkly approach tag manager integrations from fundamentally different optimization perspectives.	Supports integrations with Google Tag Manager for feature flag management Convert and LaunchDarkly approach tag manager integrations from fundamentally different optimization perspectives.	Google Tag Manager integration is supported Convert and LaunchDarkly approach tag manager integrations from fundamentally different optimization perspectives.	Convert and LaunchDarkly approach tag manager integrations from fundamentally different optimization perspectives.
API available Both Convert and LaunchDarkly provide APIs to extend experimentation and feature management capabilities.	Public features list referencing API support for advanced goals, targeting, and SPA handling, plus an integration guide in the support center Both Convert and LaunchDarkly provide APIs to extend experimentation and feature management capabilities.	Full API support for feature flags, experimentation, and integrations Both Convert and LaunchDarkly provide APIs to extend experimentation and feature management capabilities.	Full public REST API provided Both Convert and LaunchDarkly provide APIs to extend experimentation and feature management capabilities.	Both Convert and LaunchDarkly provide APIs to extend experimentation and feature management capabilities.
Webhooks available Both Convert and LaunchDarkly support webhook-based integrations for event-driven workflows.	Integration guide and full-stack documentation implying event-driven connections. Explicit “webhook” mention is less prominent in marketing copy Both Convert and LaunchDarkly support webhook-based integrations for event-driven workflows.	Available for real-time notifications and integrations Both Convert and LaunchDarkly support webhook-based integrations for event-driven workflows.	Event-based webhook delivery is supported Both Convert and LaunchDarkly support webhook-based integrations for event-driven workflows.	Both Convert and LaunchDarkly support webhook-based integrations for event-driven workflows.
No code visual editor Convert offers a visual editor for building website test variations, while LaunchDarkly focuses on developer-driven feature configuration.	No-code editor for web tests and personalization, used in combination with custom code where needed, positioned as “easy but powerful” A/B testing UI Convert offers a visual editor for building website test variations, while LaunchDarkly focuses on developer-driven feature configuration.	Available for feature flag management and A/B testing Convert offers a visual editor for building website test variations, while LaunchDarkly focuses on developer-driven feature configuration.	Drag-based no-code visual editor for page modifications Convert offers a visual editor for building website test variations, while LaunchDarkly focuses on developer-driven feature configuration.	Convert offers a visual editor for building website test variations, while LaunchDarkly focuses on developer-driven feature configuration.