Experience Analytics

Definition

Experience analytics refers to the practice of understanding how users interact with digital products by analyzing behavior, interaction patterns, and emotional signals. It blends qualitative and quantitative data to uncover friction, confusion, or opportunities to improve experience quality. Teams use tools that track journeys, heatmaps, time-to-task completion, and sentiment indicators. The aim is to make digital products intuitive and satisfying, not just functional.

How Experience Analytics Works in Practice

Experience analytics may reveal users struggling with a checkout field, prompting a simplification that raises completion rates. Product teams might analyze rage-clicks or scroll depth to refine layout and content design. Insights help prioritize improvements based on real behavior instead of assumptions. This approach strengthens both usability and long-term loyalty.

Related Glossary Terms

Eye Flow
Eye flow refers to the natural path a viewer's eyes follow when scanning a webpage, ad, product interface, or piece of content.
Experiential Marketing
Experiential marketing creates immersive, interactive brand experiences that encourage emotional connection and participation rather than passive consumption.
Experience Optimization
Experience optimization is the practice of refining digital and physical interactions so users have smoother, more engaging journeys that drive better outcomes.
Experience Management
Experience management focuses on understanding, measuring, and improving how customers, employees, and users perceive interactions across every touchpoint.
Exit Survey
An exit survey collects feedback from users who are about to leave a website, app, or product flow.

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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Products

Trust & authority

Named customers

Security & compliance

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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 experience analytics?
Experience analytics is the practice of understanding how users interact with digital products by analyzing behavior, interaction patterns, and emotional signals. It blends qualitative and quantitative data to uncover friction, confusion, or opportunities to improve experience quality.
What types of data does experience analytics use?
Experience analytics uses tools that track user journeys, heatmaps, time-to-task completion, and sentiment indicators, combining both qualitative and quantitative data sources.
What is the goal of experience analytics?
The aim of experience analytics is to make digital products intuitive and satisfying, not just functional, by identifying and resolving friction points based on real user behavior rather than assumptions.
What are some practical examples of experience analytics in action?
Experience analytics can reveal users struggling with a checkout field, prompting a simplification that raises completion rates. Product teams may also analyze rage-clicks or scroll depth to refine layout and content design.
How does experience analytics benefit businesses long-term?
By helping teams prioritize improvements based on real behavior instead of assumptions, experience analytics strengthens both usability and long-term user loyalty.

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