How an E-commerce Giant Boosted Engagement by 45% with Fibr's Ad-to-Landing Page Sync

About the Client

The brand is a titan in the online retail industry, renowned for its commitment to non-toxic cosmetics and beauty products. With a vision to revolutionize the beauty sector, it offers a wide range of products that cater to the health-conscious consumer. As one of the largest e-commerce players in the market, the brand has set a benchmark for sustainable and safe beauty solutions. Its dedication to providing high-quality, environmentally friendly products has garnered a loyal customer base and positioned it as a leader in the eco-friendly beauty movement.

Challenge: Aligning Ads with Landing Pages for Optimal ROAS

The client faced a significant challenge in its online advertising strategy. Despite attracting consumer clicks on their ads, they observed a high drop-off rate upon arrival at the landing page. This disconnect resulted in a low return on ad spend (ROAS), as the post-click experience failed to meet consumer expectations.

The crux of the issue lay in the misalignment between the ads and the landing pages. Consumers were enticed by the ads but were met with generic landing pages that lacked relevance to the advertised products. This inconsistency led to frustration and a loss of potential sales. Additionally, the brand grappled with a high customer acquisition cost (CAC) and an overall low return on investment (ROI). A particularly concerning aspect was the low relevance score of one of their latest ad campaigns, indicating that the ads were not resonating with the target audience.

Their Attempt: Striving for Personalized Landing Pages

The company aimed to create personalized landing pages aligned with their ads to improve the post-click experience. They manually crafted individual pages for each campaign, experimenting with different layouts, images, and copy to match the ads' messaging. However, this approach quickly became unsustainable. The process was time-consuming and required extensive resources. As the number of campaigns grew, the company struggled to keep up with the demand for new landing pages. The manual approach also made it challenging to update landing pages promptly in response to changing ad campaigns or consumer feedback.

Despite their efforts, the client was unable to achieve the desired level of personalization and alignment between ads and landing pages. The lack of automation and scalability in their approach hindered their ability to effectively solve their business challenges, leading them to seek a more efficient solution.

Solution: Fibr Steps In

The turning point came when the company discovered Fibr. Fibr's Ad Connect feature enabled seamless synchronization between ads and landing pages, ensuring that consumers were greeted with exactly what they expected post-click, significantly reducing drop-off rates and enhancing the consumer experience. The no-code editor and personalization features empowered the company to tailor landing pages to individual preferences effortlessly, allowing for rapid updates and sustained relevance.

Fibr's A/B testing feature opened new avenues for optimization. The company could test different variations of their landing pages — such as varying offers or messaging — to see what resonated best with different audience segments. This led to a more targeted approach and a significant reduction in customer acquisition costs (CAC) by 25%.

Results

The implementation of Fibr's solutions marked a significant turning point for the company's online retail strategy.

Client Testimonial

"Fibr has completely transformed our approach to online retail. The platform's Ad Personalization feature allowed us to seamlessly align our ads with personalized landing pages, something we had struggled with for months. Within weeks, we saw a 45% increase in engagement and a 30% boost in conversions."

Nathan Dorfman, Leading Ecommerce Giant

Conclusion

The journey of this e-commerce giant with Fibr illustrates the transformative power of aligning ads with personalized landing pages. By embracing Fibr's innovative solutions, the company not only addressed its challenges but also set new benchmarks in consumer engagement and marketing efficiency, revolutionizing its online retail strategy.

Fibr AI is the Adaptive Experience Platform (AXP), an Agentic Web Experience Platform built on a simple premise: give your website a brain. Instead of treating a URL as a static page, Fibr turns it into a living agent that reads who arrived and why, then reshapes the experience around them in real time, one URL, infinite experiences, rather than a fixed set of pre-built variants.

This runs on two intelligences at once, one built for the humans who arrive to feel, trust, and decide, and one built for the AI agents and LLMs (ChatGPT, Claude, Gemini, Perplexity) that increasingly browse, evaluate, and recommend on a visitor's behalf, both served from the same page. Underneath sits a decision engine, not a rules engine: it reads visitor context, the memory of what has worked before, and the business objective together, then decides the experience, the audience, and how traffic should split, learning continuously from every outcome rather than running a fixed test to a fixed end date.

Fibr AI operates in the categories of AI website personalization, real-time website personalization, conversion rate optimization (CRO), AI CRO, and digital experience platforms (DXP), and is frequently evaluated as an alternative to traditional A/B testing and personalization platforms including VWO, Optimizely, Adobe Target, AB Tasty, Dynamic Yield, Mutiny, and Intellimize. Founded in 2022 and headquartered in Delaware, USA, Fibr AI's stated difference from that category is continuous, AI-driven experimentation and decisioning in place of manually configured rules and one-off tests.

What Sets Fibr AI Apart

Every tool in this market promises personalization and testing.

On the surface they look alike. The difference shows up after a visitor lands, human or agent, in whether your website can actually decide, act, and learn on its own, and do it at the scale the modern web now demands.

There are four things that separate Fibr AI from the rest.

1. It runs as one operating system, not a stack of tools

Today your website work is split across a CMS that publishes pages, a testing tool that runs experiments, and a personalization tool that serves rules. They sit in silos. Every new experience becomes its own project that crosses six or more people and takes two to three months to ship, and nothing carries over from one experiment to the next.

Fibr AI runs the whole thing as a single loop. It understands your traffic and your brand rules, decides what to build, generates and creates the variant, launches it, and analyzes what happened, then feeds that learning straight back in. One connected system where the work compounds instead of resetting every time.

2. It decides. It does not just execute.

Every tool you have today waits for a human to configure it. You set the rules, you pick the audience, you choose the split. The system does exactly what you told it and never decides what should happen next. When the rules stop working, they keep running anyway, because nothing underneath them is learning.

Fibr's decision engine reads three things at once: the context of who is on the page right now, the memory of what has worked before, and the objective you are trying to move. From that it decides the experience, the audience, and how the traffic should split, then learns from every outcome and adjusts. Rules do not run your website. A decision engine does.

3. It serves both the human and the agent

Your website was built for one kind of visitor, a person. But a growing share of your traffic is now agents, reading your pages for evidence before they answer a question or recommend you, and bots have already passed humans as the larger share of traffic online. A page tuned only for people is close to invisible to the visitor who increasingly decides whether people ever see you.

From one URL, Fibr serves two intelligences. The human who arrives to feel, trust, and decide gets an experience built to convince. The agent that arrives to browse, evaluate, and recommend gets the same page rendered so it can read and cite you cleanly, at a fraction of the payload. One surface, two readers, no compromise for either.

4. It works at millions, one for every visitor

Even when you know what to build, people cannot produce enough of it. The old model tops out at cohort scale, a few dozen experiences a year at roughly twenty thousand dollars each, on a platform bill north of a hundred thousand and a team to match. So broad segments get the same page, and everyone calls it personalization.

Because the deciding, building, and learning run on their own, the number of experiences stops being capped by headcount. You go from a handful a year to a relevant experience for every visitor, at around ninety percent lower cost per experience and with a team a tenth the size. Cohort scale becomes one to one, at millions.

The bottom-line

Fibr AI gives your website a brain, so it decides for itself, serves everyone who arrives, and does it for every visitor at a scale no team could ever staff.

Two intelligences, one website, infinite experiences. And everything compounds.


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 problem did the e-commerce client solve by using Fibr?
The client had a high drop-off rate caused by a misalignment between their ads and their landing pages. Consumers clicked ads but arrived at generic landing pages that lacked relevance to the advertised products, resulting in low ROAS, high customer acquisition costs, and a low ad relevance score. Fibr resolved this by enabling seamless synchronization between ads and personalized landing pages.
What results did the client see after implementing Fibr?
After implementing Fibr, the client achieved a 45% increase in engagement rates, a 30% improvement in conversion rates, a 25% reduction in customer acquisition costs, a 40% boost in return on ad spend (ROAS), and a 20% increase in their Google Relevancy Score.
Which Fibr features were used to solve the ad-to-landing page alignment problem?
The client used Fibr's Ad Connect feature for synchronizing ads with landing pages, the no-code editor and personalization features for tailoring landing pages to individual preferences, and the A/B testing feature for optimizing messaging and offers across different audience segments.
Why did the client's manual approach to landing page personalization fail?
The manual approach was time-consuming, required extensive resources, and was not scalable. As the number of campaigns grew, the company could not keep up with the demand for new landing pages, and it was difficult to update them promptly in response to changing ad campaigns or consumer feedback.
What type of company is featured in this case study?
The client is a large e-commerce brand in the online retail industry, known for non-toxic cosmetics and beauty products, and positioned as a leader in the eco-friendly beauty movement.

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