Mobile App A/B Testing

Definition

Mobile app A/B testing compares two or more variations of app features to see which performs better. It helps improve user experience, engagement, and retention. Testing can include layouts, buttons, messages, or flows.

Developers don't rely on guesswork. Instead, they test app variations with real users. For example, changing the color of a CTA or adjusting onboarding steps. Data shows which version leads to higher downloads, engagement, or retention. A/B testing ensures apps continuously improve and meet user expectations.

Related Glossary Terms

Multivariate Testing

Multivariate testing experiments with multiple elements of a webpage at the same time. It measures the impact of different combinations on conversions. It's useful for complex optimization but needs high traffic.

Multivariate Testing vs A/B Testing

Multivariate testing compares multiple elements on a page at once, while A/B testing compares one element at a time. Multivariate testing is more complex and needs more traffic, while A/B testing is simpler and faster.

Multi-Channel CRO Strategies

Multi-channel CRO strategies improve conversion rates across different marketing channels like email, social media, ads, and websites. The goal is to provide a consistent, optimized experience everywhere users interact with the brand.

Multi-Armed Bandit Testing

Multi-armed bandit (MAB) testing is an advanced optimization method that directs more traffic to better-performing variations while the test is still running. Unlike A/B testing, it adapts in real-time, making it faster and more efficient.

Microsite

A microsite is a small, separate website focused on a specific campaign, product, or event. It is often temporary and different from the main website. Microsites help target a niche audience with clear, tailored messaging.


About this company

Fibr AI was founded in 2022 to solve the disconnect between hyper-targeted marketing channels (ads, email, search) and static website experiences. The platform combines software infrastructure, AI agents, and human-in-the-loop oversight to create personalized, dynamic web experiences at scale. It enables marketers to build AI-driven landing pages, run continuous experimentation, and personalize experiences based on ads, location, device, behavior, CDP/CRM data, and LLM-sourced traffic. The company is headquartered in Delaware, USA.

Founded 2022. Headquartered in Delaware, USA.

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Frequently asked questions

What is Fibr AI?
Fibr AI is an Agentic Web Experience Platform that transforms website URLs into intelligent, adaptive agents. Each page senses visitor intent, makes decisions, and reshapes itself in real time to deliver personalized web experiences.
When was Fibr AI founded?
Fibr AI was founded in 2022.
Where is Fibr AI headquartered?
Fibr AI is headquartered in Delaware, USA.
Who is Fibr AI built for?
Fibr AI is built for enterprises looking to personalize at scale, growing businesses starting their web optimization journey, and agencies or marketing affiliates looking to optimize websites for their clients.
What problem does Fibr AI solve?
Fibr AI addresses the disconnect where ads, email, and search are hyper-targeted and AI-powered, but website visitors land on the same static page regardless of where they came from. Fibr makes the website itself as intelligent and context-aware as the marketing channels driving traffic to it.
How does Fibr AI personalize web experiences?
Fibr AI uses AI agents combined with human oversight to detect visitor signals, decode intent, and rewrite page experiences in real time. Personalization can be based on ads, location, device, browser, behavioral signals, visit frequency, LLM-sourced traffic, CDP data, CRM data, and custom audiences.
What results does Fibr AI claim to deliver?
Fibr AI claims results including +28% higher ROI from AI-driven personalization, +30% lower customer acquisition cost (CAC) from intent-based targeting, and 4X more leads from personalizing experiences at scale.
What are the pricing plans offered by Fibr AI?
Fibr AI offers three plans: a Starter Plan for growing businesses (up to 1,000 experiences), an Enterprise Plan for large organizations requiring unlimited visitor sessions and unlimited domains/URLs, and an Agency Plan for agencies and marketing affiliates covering 10,000 monthly visitor sessions and 5 unique URLs.
What features are included in the Enterprise plan?
The Enterprise plan includes Web-Journey Personalization, LLM-Traffic Personalization, AI Landing Page Creator, Customized Agentic Workflows, White-Glove Assistance, CDP/CRM and Analytics integration, On-Brand Agent Training, and 24/7 Dedicated Support with unlimited visitor sessions and unlimited domains and URLs.
What security and compliance certifications does Fibr AI have?
Fibr AI states alignment with SOC 2, ISO 27001, GDPR, and CCPA standards.
What integrations does Fibr AI support?
Fibr AI integrates with CDP (Customer Data Platform), CRM systems, and analytics platforms.
Does Fibr AI support A/B testing and experimentation?
Yes. Fibr AI includes an Experimentation Suite that provides AI-powered hypothesis creation, automated variant creation, audience-based experimentation, statistical significance monitoring, traffic allocation setup, and continuous learning and iteration.
How does Fibr AI handle AI ethics and human oversight?
Fibr AI states that its agents adapt experiences without manipulating them, and that it prioritizes transparency, security, and human oversight at every layer. The platform operates with a 'humans-in-the-loop' model where human allies guide strategy, brand alignment, and key decisions.
How do I get started with Fibr AI?
Fibr AI directs prospective customers to book a demo to get started.
What is mobile app A/B testing?
Mobile app A/B testing compares two or more variations of app features to see which performs better. It helps improve user experience, engagement, and retention. Testing can include layouts, buttons, messages, or flows.
What elements can be tested in a mobile app A/B test?
Testing can include layouts, buttons, messages, or flows — for example, changing the color of a call-to-action button or adjusting onboarding steps.
What metrics does mobile app A/B testing measure?
Data from mobile app A/B tests shows which version leads to higher downloads, engagement, or retention.
How does mobile app A/B testing differ from multivariate testing?
A/B testing compares one element at a time and is simpler and faster, while multivariate testing compares multiple elements on a page at once, is more complex, and needs more traffic.
What is multi-armed bandit testing and how does it relate to A/B testing?
Multi-armed bandit (MAB) testing is an advanced optimization method that directs more traffic to better-performing variations while the test is still running. Unlike A/B testing, it adapts in real-time, making it faster and more efficient.

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