Feature Flag

A feature flag is a control mechanism that allows teams to turn features on or off without deploying new code. It helps release updates gradually, run experiments, and limit exposure of new functionality. Instead of shipping everything at once, teams can toggle features for specific users, roles, or environments. This reduces deployment risk and increases flexibility.

For instance, a product team may enable a new UI only for a small group of beta testers. If performance issues arise, the feature can be instantly disabled without rolling back code. Flags support safer iteration, A/B testing, and progressive delivery strategies.

Related Glossary Terms

Funnel Testing

Funnel testing involves experimenting with different funnel steps to identify changes that improve performance. Marketers test variations in design, content, or process at specific points in the funnel. Results show which version keeps more users engaged and moving forward toward conversion.

Funnel Analysis

Funnel analysis is the practice of reviewing each step in a funnel to see where users drop off. It measures conversion rates between stages, helping identify weak points. By analyzing funnels, marketers pinpoint bottlenecks and learn which steps require adjustments to improve the customer journey.

Funnel

A funnel in marketing is a visual or conceptual model showing steps a user takes from first awareness to a final action like a purchase or sign-up.

Friction

In marketing, friction refers to obstacles that make it harder for users to complete desired actions. It may be a slow-loading page, unnecessary form fields, or unclear instructions. Friction interrupts the user journey, lowers engagement, and often results in abandoned purchases or incomplete sign-ups.

Form Testing

Form testing involves experimenting with variations of online forms to see which performs better. Using methods like A/B or multivariate testing, marketers compare versions with different layouts, field orders, or call-to-action buttons. The aim is to discover which version encourages more users to complete the form.

Form Analytics

Form analytics is the process of tracking how users interact with online forms.

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 a feature flag?
A feature flag is a control mechanism that allows teams to turn features on or off without deploying new code. It enables gradual releases, experimentation, and limiting exposure of new functionality to specific users, roles, or environments.
Why do teams use feature flags?
Teams use feature flags to reduce deployment risk and increase flexibility. Instead of shipping everything at once, they can toggle features for specific users or environments, support A/B testing, and enable progressive delivery strategies.
How does a feature flag reduce deployment risk?
If performance issues arise after enabling a new feature, the feature can be instantly disabled using a flag without rolling back code. This allows teams to react quickly without a full redeployment.
Can feature flags be used for A/B testing?
Yes. Feature flags support A/B testing and progressive delivery strategies by allowing teams to expose a feature to a limited group — such as beta testers — before rolling it out more broadly.

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