A/B Testing

Definition

A/B testing is the practice of splitting your audience into two groups and showing them different versions to see which drives better results. For example, version A might be your current product page, while version B can have a new headline or layout.

By tracking which version gets more clicks, sign-ups, or sales, you can make confident decisions backed by data. E-commerce brands often test product descriptions, SaaS companies test onboarding flows, while marketers may A/B test email subject lines or ad copy. The benefit of A/B testing is that it helps you understand your users better and continuously optimize experiences.

Related Glossary Terms

Average Order Value (AOV)
AOV is the shorthand for average order value, a metric used to measure the average spend per customer transaction.
Average Order Value
Average order value is the average amount of money customers spend per transaction.
Authority Site
An authority site is a website widely recognized as a trusted and credible source in its niche.
Application Programming Interface (API)
An API is a set of rules that allows different software systems to communicate and exchange data.
App Personalization
App personalization is the process of tailoring mobile app experiences based on user behavior and preferences.
Anchor Text
Anchor text is the clickable text in a hyperlink that signals the topic of the linked page.

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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Named customers

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Links

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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 A/B testing?
A/B testing is the practice of splitting your audience into two groups and showing them different versions to see which drives better results. Version A is typically the current experience, while version B introduces a change such as a new headline or layout.
How does A/B testing work?
You split your audience into two groups, show each group a different version of a page, email, or flow, and then track which version gets more clicks, sign-ups, or sales. The results allow you to make confident, data-backed decisions.
What can you A/B test?
Common A/B testing use cases include product page descriptions (e-commerce brands), onboarding flows (SaaS companies), and email subject lines or ad copy (marketers).
What is the benefit of A/B testing?
A/B testing helps you understand your users better and continuously optimize experiences by relying on real data rather than assumptions.

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