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 Evergage vs Omniconvert

Comprehensive experimentation and real-time personalization comparison. Scroll down on the right to view all rows.

Category	Convert Experiences	Evergage	Omniconvert
Website URL	convert.com	www.salesforce.com/marketing/personalization	omniconvert.com
Category or type	A/B testing and personalization website with full-stack experimentation capabilities	Real‑time personalization and behavioral decisioning website	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"	Real‑time personalization predictive recommendations and journey orchestration	"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"	Enterprise digital teams and marketing operations	"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"	Custom subscription licensing with enterprise negotiation	Tier-based SaaS subscription pricing
Free plan available	Free 15-day trial with access to premium features and no credit card requirement	No free plan offered	No permanent free tier offering available
Free trial length	15-day free trial period	Trial available through sales engagement	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"	Starting price not publicly listed	Entry-level monthly subscription published by the vendor
Billing frequency	"Monthly payments with options for longer commitments, depending on plan and traffic"	Annual or multi‑year enterprise billing	Monthly and annual subscription billing
Contract term required	"Subscription contracts for each plan, with higher tiers oriented to longer-term experimentation programs"	Multi‑year contracts typical for enterprise	"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"	Costs scale with usage data and personalization volumes	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 multivariate testing and personalized decisioning	"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 personalization and variation delivery	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 personalization and API‑level testing	Native server-side experiment execution supported
Feature flagging support	"Native feature flagging with gradual rollouts, feature gating, and audience targeting integrated into a full-stack product"	Feature flags available within personalization decisions	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 splitting for experiments and rule‑based experiences	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"	Segment audiences based on behavior identity and lifecycle	"Behavioral, device, geographic, cookie-based targeting"
Personalization rules engine	"Personalization rules linked to audiences and goals, enabling different experiences for defined segments across experiments"	Personalization engine driven by behavior and profile rules	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 "	Recommendation engine for offers content and products	Recommendation engine functionality not included
Number of concurrent experiments allowed	"Concurrency governed by plan scope and performance, with enterprise positioning encouraging broad experimentation portfolios"	Concurrent experiment support defined by enterprise configuration	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 personalization performance and engagement reporting	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 "	Journey analytics based on real‑time behaviors	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 impact analysis tied to personalization outcomes	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"	Session replay supported through integrations	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	Heatmaps available through integrations	"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	Form analytics available through integrations and tracking	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 "	Supports experiment analysis with statistical models	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"	Sample sizing guidance available within planning	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 "	Duration guidance included in experimentation workflows	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 experiment stopping supported	Rule-based automatic stopping controls are available
Support for holdout groups	Feature flagging and full-stack experimentation enabling control and treatment groups through audience definitions and SDK logic	Holdout group configurations available for control segments	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	Integrates with CMS websites for delivering experiences	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"	Works with commerce systems for personalization	"Shopify, WooCommerce"
Analytics integrations	Integrations guide showing paths for sending experiment data to analytics websites and receiving backend conversions	Integrates with analytics and customer data systems	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 CDP systems including Data Cloud	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	Native integration with Salesforce CRM and marketing stack	HubSpot integration
Tag manager integrations	Snippet-based deployment compatible with tag managers for web and SPA environments	Supports tag manager deployment for personalization logic	Google Tag Manager integration is supported
API available	"Public features list referencing API support for advanced goals, targeting, and SPA handling, plus integration guide in the support center"	API support for integration and personalization control	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 external system triggers	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"	Visual editor for building personalization campaigns	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"	SDKs for web and mobile personalization use	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"	High implementation effort due to integration and data needs	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."	Time to first experience after personalization rules configured	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	Impact dependent on personalization scripts and data calls	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"	Flicker mitigation provided through rendering optimizations	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 compliance supported through privacy and data controls	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 compliance supported with consent and governance	California privacy regulation enforcement is supported
Data residency options	Event export and warehouse-oriented integrations enabling region-specific storage in customer-owned stacks	Data residency configurable based on enterprise region needs	European-centered 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 "	Retention based on plan and enterprise configuration	The selected subscription plan governs retention
SSO support	Enterprise-grade positioning with identity and compliance references in third-party comparisons and enterprise-focused content	Enterprise SSO provided	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 and permission controls available	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 "	Audit logging supported for activity tracking	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	Enterprise compliance and security programs supported	ISO 27001 certification
Ease of use rating	"Powerful features, and high satisfaction scores around 4.7 out of 5 "	Rated well for personalization but technically complex	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"	Moderate to high learning curve with data and rules	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"	Experiment lifecycle supported within personalization engine	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"	Backlog planning supported within website	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	Collaboration supported through shared experiences	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	Approval workflows for experiences and personalization	Team-based approval workflows included
In-app guidance or templates	"Product experimentation handbook, documentation, and feature descriptions supplying playbooks and patterns for experiment design"	Templates for personalization scenarios	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"	Onboarding provided through professional services	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"	Dedicated account management available	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	Support offered through documentation email and support teams	"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	Support hours defined by enterprise agreement	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 defined through enterprise contract	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 available for hosted services	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"	Usage limits defined by enterprise usage	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"	Strong multi site and multi brand personalization	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"	SDK support for mobile personalization	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"	Global personalization and localization support	Multilingual interface and targeting support

Read other comparisons between Convert and Evergage.