Fibr AI Experimentation: Optimize Web Experiences with AI

Fibr AI Experimentation moves beyond traditional A/B tests toward autonomous optimization. Its agentic AI platform continuously creates, launches, and scales winning website experiences in real time. Fibr makes every URL think and optimize on its own, enabling teams to test at scale without developer bottlenecks or complex manual tracking.

According to Fibr's own comparison chart, teams running experiments with a Fibr AI setup operate at 90% lower cost and with a 10x smaller team than a traditional experimentation system. That efficiency matters because most experiments don't pay off on the first try: Optimizely's analysis of 127,000 experiments across 1,100 companies found that only 12% won on their primary metric, which is why running more tests, faster, is what compounds results over time.

How Does Fibr AI Experimentation Work?

Fibr uses an AI-powered web experience layer to test and optimize website content without developer dependencies. The platform’s AI agents create new test versions of page copy, images, and layouts. Users can then make instant adjustments in a visual, no-code editor without needing design or development help.

Go from Hypothesis to Live Variant in Seconds

Fibr’s AI agents can instantly create multiple test versions of a page, including variations of copy, images, and layouts. These variants can be approved with a single click or fine-tuned using a no-code visual editor, eliminating the need for design or development assistance to launch an experiment.

Minimize Risk While Maximizing Learning

Instead of a simple 50/50 split test, Fibr AI uses adaptive traffic routing to intelligently match visitors to the right experience. It considers factors like device, location, and traffic source to send users to the variant most likely to convert, all while maintaining strict measurement accuracy for reliable results.

Let Winning Patterns Self-Replicate

The platform automatically scales what’s working and phases out underperforming variants. When a winning experience is identified, Fibr automatically expands its reach to similar audiences and contexts. This autonomous evolution ensures that the website continuously improves and revenue grows as the system learns.

What is the Process for Launching an Experiment?

Fibr provides a simple, four-step sequence that turns an idea into a winning website experience, removing developer bottlenecks and the need for manual tracking setup. Each step is designed to guide users from a clear hypothesis to a live, self-optimizing experiment that drives revenue.

1. Define Metric
Select a clear primary success metric, such as bounce rate or conversion rate. Set a specific, measurable target to define what a successful outcome looks like before the experiment begins.
2. Generate Variants
Fibr’s AI agents instantly build multiple page variants based on your approved hypotheses. You can use the no-code editor for final styling adjustments or approve the AI-generated versions with one click.
3. Set Holdout Group
Allocate a percentage of traffic to a holdout group, which is typically 10% of visitors. This ensures that a control group continues to see the original variant, providing an accurate baseline for measuring performance.
4. Evolve and Scale
After publishing the experiment, Fibr tracks performance in real-time. The platform automatically promotes winning variants and scales them to larger audiences, allowing your website to evolve autonomously as it learns what works best.

What Results Can I Expect with Fibr AI?

Fibr enables companies to achieve significant performance improvements by personalizing experiences and automating intent-based targeting. Customers have seen a 28% higher return on investment, a 30% lower customer acquisition cost, and a fourfold increase in leads by personalizing website experiences at scale. Results vary by traffic volume, industry, and how much of the existing site already has clear conversion tracking in place, so these figures reflect what's achievable rather than a guaranteed outcome for every account.

Metric Improvement Driver
Higher ROI +28% AI-driven personalization
Lower Customer Acquisition Cost (CAC) +30% Automating intent-based targeting
More Leads 4x Personalizing experiences at scale

What Are Fibr AI's Customer Results?

Leading companies use Fibr to automate and scale their website optimization efforts, leading to measurable growth in leads, conversions, and customer acquisition.

ACT Fibernet

ACT Fibernet aimed to reduce its Customer Acquisition Cost (CAC) by improving the contextual alignment between its ads and landing pages. Using Fibr, the company achieved a 25% reduction in CAC, alongside a 25% increase in new customer acquisitions and a 12% rise in overall conversions.

At ACT, we quickly adopted Fibr Web Pilot to align ad messaging with landing pages, achieving great results with minimal effort. We're excited to scale this across our campaigns for increased growth and improved team productivity.

Ravi Karthik, CMO, ACT Fibernet
Increase in New Customer Acquisitions
25%
Rise in Overall Conversions
12%
Higher CTA Conversions via A/B Testing
6%

Nixon Medical

By implementing Fibr's AI-driven personalization, Nixon Medical achieved a 4X boost in leads generated from its website.

Asian Paints

Asian Paints utilized Fibr to scale its content strategy, successfully creating over 1,200 unique landing pages to better target and engage its diverse audience.

Does Fibr Integrate with My Existing Tools?

Yes, Fibr is designed to elevate your existing technology stack, not replace it. The platform works seamlessly with your current tools, data, and workflows. This approach allows you to implement AI-powered optimization without a disruptive "rip-and-replace" project, adding intelligence on top of your current marketing and analytics infrastructure.

Category Tools
Audience Platforms Salesforce, Google Ads, LinkedIn
Analytics Platforms Google Analytics, Google Tag Manager, Mixpanel, Adobe
CMS Webflow, Contentful, Sitecore, Magento

How Does Fibr Ensure Accurate Results?

Fibr provides enterprise-grade statistical significance through its adaptive engine. The engine automatically selects the most accurate statistical model for your specific data, choosing between Bayesian, Fisher's exact, or Z-test methodologies. This ensures that you know precisely when an experiment reaches statistical significance, which is defined as 95% confidence, so you can trust the results.

Who Is Fibr Backed By?

Fibr is backed by leaders from prominent organizations, including Accel, AngelList, CRED, InMobi, Kaleyra, Nestlé, Vymo, and Walt Disney.

Fibr's autonomous approach is built for teams that want AI agents generating and shipping variants continuously; teams that require every variant to go through a fully manual design and development review before it reaches live traffic, or that run on very low traffic and can't reach statistical significance quickly, may still prefer a traditional, manually-run experimentation setup.

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Frequently asked questions

How is Fibr AI different from traditional A/B testing tools?
Traditional A/B testing tools require manual setup and often create developer bottlenecks. Fibr is different because it uses agentic AI for "Autonomous Optimization," which continuously creates, launches, and scales winning experiences in real time, moving beyond simple A/B tests.
Is it safe to run experiments in sensitive industries like BFSI?
Fibr AI maintains compliance certifications including AICPA, GDPR, CCPA, ISO, and HIPAA, giving teams in regulated industries such as BFSI (Banking, Financial Services, and Insurance) a compliant foundation for running experiments.
What is a "holdout" and why do I need it?
A "holdout" is a group of visitors who are intentionally shown the original version of a page during an experiment. Fibr recommends a 10% holdout to create an accurate performance baseline, allowing you to reliably measure the impact of the test variants against the control version.
Will Ad personalization slow down my website?
Fibr is designed to add AI-driven optimization on top of your existing site without requiring code changes or additional development work. Variants are created and adjusted through Fibr's no-code visual editor, and the adaptive traffic routing engine maintains measurement accuracy while matching visitors to experiences, so personalization runs alongside your existing pages rather than replacing your underlying stack.
How can Ad Personalization improve my campaign performance?
Ad Personalization improves campaign performance by automatically testing different experiences and scaling the winners. Fibr personalizes experiences at scale, which has helped customers achieve results like a 28% higher ROI, a 30% lower Customer Acquisition Cost (CAC), and a 4X increase in leads.
Do I need coding skills to personalize landing pages with Fibr?
No, you do not need coding skills to personalize landing pages with Fibr. The platform includes a no-code visual editor that allows you to tweak AI-generated variants or build your own without any design or development help, enabling you to go from a hypothesis to a live experiment in seconds.
What organizations have leaders who back Fibr AI?
Fibr AI is backed by leaders from prominent organizations, including Accel, AngelList, CRED, InMobi, Kaleyra, Nestlé, Vymo, and Walt Disney.
What measurable results did ACT Fibernet achieve using Fibr?
ACT Fibernet used Fibr to improve the contextual alignment between its ads and landing pages, aiming to reduce its Customer Acquisition Cost (CAC). The company achieved a 25% reduction in CAC, a 25% increase in new customer acquisitions, a 12% rise in overall conversions, and a 6% increase in CTA conversions through A/B testing.
How did Nixon Medical benefit from Fibr's AI-driven personalization?
By implementing Fibr's AI-driven personalization, Nixon Medical achieved a 4X boost in leads generated from its website.
How did Asian Paints use Fibr to scale its content strategy?
Asian Paints used Fibr to scale its content strategy, successfully creating over 1,200 unique landing pages to better target and engage its diverse audience.
What statistical models does Fibr's engine use to determine significance?
Fibr's adaptive engine automatically selects the most accurate statistical model for the data at hand, choosing between Bayesian, Fisher's exact, or Z-test methodologies. This lets you know precisely when an experiment reaches statistical significance, defined as 95% confidence.
What are the four steps in Fibr's experiment launch process?
Fibr's process has four steps: Define Metric, where you select a primary success metric and set a target; Generate Variants, where Fibr's AI agents build multiple page variants from approved hypotheses; Set Holdout Group, where you allocate typically 10% of traffic to see the original version as a baseline; and Evolve and Scale, where Fibr tracks performance in real time and automatically promotes and scales winning variants.
Which marketing and analytics tools does Fibr integrate with?
Fibr integrates with existing audience platforms such as Salesforce, Google Ads, and LinkedIn, analytics platforms including Google Analytics, Google Tag Manager, Mixpanel, and Adobe, and CMS platforms such as Webflow, Contentful, Sitecore, and Magento, so teams can add AI-powered optimization without a disruptive rip-and-replace project.
How does Fibr AI's cost and team size compare to a traditional experimentation setup?
According to Fibr's own comparison chart, teams running experiments with a Fibr AI setup operate at 90% lower cost and with a 10x smaller team than a traditional experimentation system.
Does Fibr replace my existing marketing and analytics stack?
No. Fibr is designed to elevate your existing technology stack rather than replace it. The platform works seamlessly with your current tools, data, and workflows, allowing you to add AI-powered optimization without a disruptive rip-and-replace project.