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 Firebase A/B Testing vs Omniconvert

Comprehensive experimentation and app optimization comparison. Scroll down on the right to view all rows.

Category	Convert Experiences	Firebase A/B Testing	Omniconvert
Website URL	convert.com	firebase.google.com	omniconvert.com
Category or type	A/B testing and personalization website with full-stack experimentation capabilities	Experimentation and optimization platform	Conversion rate optimization and web experimentation website
Primary use cases	Website A/B testing, split testing, personalization, full-stack experiments, feature flagging, privacy-focused experimentation for growth teams	A/B testing, multivariate testing, personalization, experimentation	A/B testing, personalization, behavioral targeting, conversion optimization
Target business size	Privacy-aware mid-market and enterprise teams replacing tools such as Google Optimize, plus agencies running programs for clients	Small to enterprise businesses	Small businesses, mid-market firms, enterprise teams
Pricing model	Tiered SaaS plans based on tests, features, and support level, with enterprise-grade features and predictable billing	Free tier with paid options for additional services	Tier-based SaaS subscription pricing
Free plan available	Free 15-day trial with access to premium features and no credit card requirement	Free plan available with limited features	No permanent free tier offering available
Free trial length	15-day free trial period	N/A (Free tier available)	Trial access provided through account request
Starting price per month	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	Free tier, paid options start based on usage	Entry-level monthly subscription published by the vendor
Billing frequency	Monthly payments with options for longer commitments, depending on plan and traffic	Monthly or usage-based billing	Monthly and annual subscription billing
Contract term required	Subscription contracts for each plan, with higher tiers oriented to longer-term experimentation programs	No contract required, pay as you go	Contract is optional, depending on the selected plan
Additional or hidden costs	Costs scale with test volume, advanced functionality such as full-stack and feature flags, and service level or support packages	Charges for additional usage beyond the free tier	Traffic-based usage overage charges
Types of tests supported	A/B tests, split tests, multivariate patterns through advanced goals, A/A tests, full-stack experiments for backend behavior, SPA experiments	A/B testing, remote config, and personalization	A/B testing, split testing, and multivariate testing
Client-side testing support	Browser-side A/B and split testing delivered via JavaScript snippet with support for SPAs and dynamic websites	Client-side testing for mobile apps (Android, iOS)	Full browser-based client-side testing is supported
Server-side testing support	Full-stack experimentation with Node, JavaScript, and PHP SDKs that support backend logic tests and server-side feature experiments	Server-side support for app optimization	Native server-side experiment execution is supported
Feature flagging support	Native feature flagging with gradual rollouts, feature gating, and audience targeting integrated into a full-stack product	Feature flags for app experimentation and releases	Production-ready feature flagging is available
Traffic allocation methods	Flexible traffic splitting for experiments, support for A/A validation, percentage allocation, and advanced goals configuration	Traffic split for A/B tests, targeting based on user attributes	Dynamic percentage-based traffic allocation
Targeting and segmentation options	Rich targeting with rules around URL, device, geolocation, cookies, events, and audiences, plus advanced goals and API support	Segmentation by user demographics, behavior, and events	Behavioral, device, geographic, cookie-based targeting
Personalization rules engine	Personalization rules linked to audiences and goals, enabling different experiences for defined segments across experiments	Built-in personalization for app content delivery	Rule-based personalization engine included
Recommendation engine available	Focus on targeting and experimentation, with external sources describing privacy-first testing rather than explicit recommendation algorithms	Limited, focused on in-app optimization and content personalization	Recommendation engine functionality not included
Number of concurrent experiments allowed	Concurrency governed by plan scope and performance, with enterprise positioning encouraging broad experimentation portfolios	Limited, depends on Firebase project and usage	Concurrent experiment capacity controlled by subscription plan
Built-in reporting depth	Detailed reports with advanced goals, fast and reliable reporting, and analytics integrations for experimental outcomes	Detailed reporting with real-time tracking and user behavior analysis	CRO specific performance reporting and dashboards
Funnel and journey analysis	Experiment goals used to track funnel progression, with integrations enabling deeper product and funnel analytics	Basic funnel analysis and app engagement tracking	Funnel tracking and conversion journey visualization are available
Revenue attribution capabilities	Case studies describing revenue impact and advanced goals for conversion metrics, with integration paths into analytics websites and backend conversions	Revenue tracking for in-app purchases and A/B tests	Revenue attribution tied to experiments supported
Session replay available	The website focuses on experimentation and privacy, without session replay being advertised as a native feature in the primary documentation	No built-in session replay support	Full native session recording and replay are supported
Heatmaps available	The core features list does not highlight native heatmaps. Experimentation relies on goals and external analytics rather than built-in heatmap visualization	No built-in heatmap functionality	Full click, scroll, and attention heatmaps are supported
Form analytics available	Form performance tracked through experiment goals and event integrations instead of a separate “form analytics” module	No built-in form analytics	Full form interaction analytics supported
Statistical approach	A/B testing engine with standard hypothesis testing, support content on validation through A/A experiments, and full-stack experiment design	Bayesian statistics for A/B testing and experiment optimization	Frequentist statistical testing models
Sample size calculator available	Documentation and blogs emphasize methodology for proper experimentation. A standalone public calculator is not highlighted in the retrieved sources	Yes, available to estimate necessary sample sizes for experiments	Sample size estimation tools are included in the testing interface
Experiment duration estimator	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	Available, calculates the optimal test duration for statistical significance	Duration estimation displayed per test
Automatic 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	Automatic stopping based on pre-defined criteria and data analysis	Rule-based automatic stopping controls are available
Support for holdout groups	Feature flagging and full-stack experimentation, allowing control and treatment groups through audience definitions and SDK logic	Support for holdout groups for control group comparisons	Dedicated control and holdout segmentation supported
CMS integrations	JavaScript snippet and SPA support integrate with most CMS setups. Documentation shows use with many site stacks and SPA frameworks	No direct CMS integrations, can be integrated through Firebase SDK	WordPress and Shopify content system integrations
E-commerce platform integrations	Features and case studies emphasizing Shopify testing and revenue lift, including a mention of Shopify testing on the product site	Integrates with e-commerce platforms through Firebase SDK and Firebase Analytics	Shopify, WooCommerce
Analytics integrations	Integrations guide showing paths for sending experiment data to analytics websites and receiving backend conversions	Integrates with Google Analytics, Firebase Analytics	Google Analytics integration
CDP or data warehouse integrations	Integration article describing experiment event export and backend event flows, enabling links into warehouses and CDPs through analytics tooling	Integrates with Google BigQuery for advanced data analysis	Data warehouse export available through API
Marketing automation or CRM integrations	Integration paths for sending experiment data into analytics stacks that feed marketing automation and CRM pipelines	Integrates with Google Tag Manager, Firebase Cloud Messaging for notifications	HubSpot integration
Tag manager integrations	Snippet-based deployment compatible with tag managers for web and SPA environments	Integrates with Google Tag Manager for event tracking and experiment setup	Google Tag Manager integration is supported
API available	Public features list referencing API support for advanced goals, targeting, and SPA handling, plus an integration guide in the support center	REST API for programmatic access to A/B testing data	Full public REST API provided
Webhooks available	Integration guide and full-stack documentation implying event-driven connections. Explicit “webhook” mention is less prominent in marketing copy	Webhook support for event-based notifications	Event-based webhook delivery is supported
No code visual editor	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	No-code visual editor for experiment setup via Firebase console	Drag-based no-code visual editor for page modifications
Developer SDKs available	Node, JavaScript, and PHP SDKs for full-stack experiments and feature flagging across frontend and backend	Firebase SDKs available for mobile app integrations (Android, iOS)	Web and mobile SDKs are available for implementation
Initial implementation effort	Moderate initial effort for snippet or SDK installation, plus goal and experiment configuration. Product positioned as an easy but powerful solution for teams, replacing legacy tools	Easy to integrate with Firebase apps, minimal setup	Lightweight installation through tag-based deployment
Time to first live test	Short path to first live test once snippet or SDK is in place, with trial giving immediate access to complete test feature set.	Fast setup with testing possible immediately after integration	Rapid deployment with tests live within a short setup window
Impact on page speed	Privacy-focused and performance-aware implementation with SPA handling and polling designed for reliable triggering without heavy bloat	Minimal impact on app performance due to optimized SDKs	Low performance impact from lightweight scripts
Flicker mitigation options	Full-stack and SPA support using custom code polling and controlled triggering, helping reduce layout flashes in dynamic environments	No flicker mitigation required for Firebase tests	Built-in anti-flicker execution controls
GDPR compliance	Privacy-focused positioning with emphasis on GDPR-compliant experimentation and no personal data storage in default configurations	GDPR-compliant with privacy controls for data processing	Complete European data protection framework enforced
CCPA compliance	Enterprise focuses on privacy and data minimization, facilitating US data regulation compliance through configuration and contracts	CCPA-compliant for user data protection	California privacy regulation enforcement is supported
Data residency options	Event export and warehouse-oriented integrations enabling region-specific storage in customer-owned stacks	Supports EU and US data residency options	European-centred data hosting infrastructure
Data retention period	Data retention is governed by plan, traffic, and privacy posture, defined through contracts and internal policies, not a single public fixed window	Data retention based on Firebase project settings	The selected subscription plan governs retention
SSO support	Enterprise-grade positioning with identity and compliance references in third-party comparisons and enterprise-focused content	No built-in Single Sign-On (SSO) support	Single sign-on is supported for secure account access
Role based permissions	Multi-user and agency use cases suggesting differentiated access for projects and accounts, supported by enterprise orientation	Role-based access control for Firebase project members	Tiered role-based access permissions
Audit logs available	Full-stack and feature flag orientation implying internal logging of experiment and configuration changes, though detailed audit UI is not central in marketing copy	Available for Firebase projects with audit logging enabled	Full audit trail available for system activity
Security certifications	Third-party reviews emphasizing a privacy-first stance and GDPR focus. Specific certification list not outlined in retrieved materials	SOC 2, GDPR certified for Firebase services	ISO 27001 certification
Ease of use rating	Powerful features, and high satisfaction scores around 4.7 out of 5	Easy to use with an intuitive interface and setup	High usability conversion-focused interface
Learning curve	Slightly steeper curve for full-stack and advanced features, with Convert’s own handbook providing educational content for experimentation programs	Low learning curve for basic experimentation, moderate for advanced features	Moderate learning curve suited for CRO teams
Experiment workflow management	Support content around product experimentation and full-stack experiments, enabling structured workflows from idea to rollout and analysis	Not applicable	CRO workflow pipelines built into the website
Idea backlog management	Methodology guides encouraging programmatic experimentation, while backlog tooling is handled in external systems alongside Convert	Not available, external tools needed for backlog management	Experiment backlog tracking and prioritization included
Collaboration and commenting	Enterprise usage (agencies and teams) with multi-user access and a partner ecosystem supporting collaborative experiments	Collaborative tools available for Firebase project members	Real-time collaboration and test-level commenting are supported
Approval and governance features	Feature flagging and full-stack setup aligning with more formal governance around releases and experiments in product organizations	Limited, governance features available through Firebase project permissions	Team-based approval workflows included
In-app guidance or templates	Product experimentation handbook, documentation, and feature descriptions supplying playbooks and patterns for experiment design	Basic templates and guidance for experiments within the Firebase console	CRO templates and in-app guidance included
Onboarding support included	Knowledge base, fast support, and partner agencies supporting onboarding, with Zendesk metrics highlighting a sub-12-minute average first response	Guided onboarding with documentation and tutorials	Standard onboarding assistance included
Dedicated account manager	Partner ecosystem and enterprise positioning (premium support and partner-led strategy), with direct account attention at higher tiers	Available for enterprise clients	Account manager assigned for higher-tier plans
Support channels	Support over phone, in-app chat, email, and knowledge base, with public numbers highlighting response speed	Firebase community support, email support, documentation	Ticket system, live chat, and email support
Support hours	Support is described as “blazing fast” with first response metrics. Exact global hour grid not listed on public pricing page	Business hour support based on the Firebase support plan	Standard business hour support coverage
SLA and uptime guarantee	Enterprise orientation, implying formal SLAs inside agreements, the Public pricing page focused more on value and privacy than explicit SLA numbers	SLA available for premium users (via Google Cloud)	Service uptime commitment provided by the vendor
Public status page	Monitoring is handled through infrastructure and support. The public status portal is not prominent in the marketing materials referenced	Public status page for Firebase service uptime	The public system status monitoring page is available
Monthly traffic or user limit	Plan limits based on experiments, features, and traffic, with enterprise scalability for high-volume properties	Data limits based on Firebase usage and plan	The subscription plan defines monthly visitor quotas
Multi-site or multi-brand support	Partner and agency ecosystem showing installations across many sites, with enterprise plans supporting multi-property experimentation	Supports multi-app and multi-project management in Firebase Console	Multi-domain support is included in the plan
Mobile app or SDK support	SDK-based full-stack experiments supporting web and backend services. Mobile or IoT use cases handled through SDKs and APIs, where Node or JavaScript is applied	Mobile SDKs available for Android and iOS apps	Mobile SDK support for test execution
Internationalization and localization support	Global customer base referenced in case studies and awards, with experimentation features that respect GDPR and work across regions	Multilingual support for app experiments and localization tools	Multilingual interface and targeting support

Read other comparisons between Convert and Firebase A/B Testing.