How a BFSI Leader Boosted Conversions by 55% via Localization

About the Client

The client is a leading health insurance provider in India, known for its wide range of health insurance products and services. With a focus on consumer satisfaction, the company has built a reputation for offering innovative solutions tailored to meet the diverse needs of its consumers. As a key player in the health insurance sector, the organization is committed to ensuring the well-being of its policyholders, providing them with the security and support they need for their healthcare needs.

Challenges: Reaching Every Consumer

Despite a robust online presence, the client's conversion rates were not reflecting the potential of India's vast market. They noticed a significant drop-off rate on their English-only landing pages, particularly in regions with a diverse linguistic background. They realized they had to change their "one-size-fits-all approach" to make their services more accessible and relatable to a broader audience. In a country as diverse as India, reaching out to every customer in their language is not just important — it's essential.

They realized that to boost their conversions, they needed to connect with their audience on a personal level. Vernacular landing pages seemed like the perfect solution, but the journey was fraught with challenges.

Their Attempt: Navigating the Maze

The client's attempt to create vernacular landing pages was fraught with challenges. The technical complexity of creating multilingual landing pages was overwhelming, requiring constant support from the tech team even for minor changes, leading to delays. As the number of languages and pages increased, scalability issues emerged, making the system harder to manage. Designing a user interface that catered to different languages and scripts without compromising on user experience was a daunting task. Moreover, the entire process was resource-intensive, requiring a significant investment of time, effort, and money.

Solution: Fibr Steps In

Frustrated with the limitations, the organization discovered Fibr, the AI-native web personalization platform. When they approached Fibr, their primary goal was to overcome the technical and scalability challenges of creating vernacular landing pages. The integration was swift, taking mere minutes, and required no technical expertise — a game-changer for the marketing team.

The marketing team was initially concerned about the potential loss of control over their brand and marketing strategy. However, Fibr demonstrated how their platform could enhance their existing efforts. Fibr's no-code Editor and Smart Personalization features allowed the marketing team to maintain their brand's integrity while efficiently creating personalized landing pages in various languages, thus reducing dependency on the tech team.

"We realized that Fibr could address the issues our team couldn't handle alone," said the marketing lead. "Their focus on personalization and conversion optimization was exactly what we needed."

They set clear objectives: to enhance ad relevance scores, optimize ad budgets, reach a broader audience, and reduce the cost per qualified lead. By leveraging Fibr's Ad Connect and Personalization at Scale features, they created hundreds of highly relevant and personalized landing pages synced with dedicated ads, leading to significant improvements in conversion rates and cost efficiency.

Results

• Expansive Reach: Over 100 dedicated landing pages were created for each consumer segment, ensuring tailored experiences for a diverse audience.
• Linguistic Diversity: The company successfully utilized more than 5 languages across their landing pages, bridging the communication gap with their multilingual consumer base.
• Enhanced Ad Performance: The alignment of ads with landing pages significantly improved the Google Relevancy Score, optimizing ad campaigns for better visibility and relevance.
• Continuous Optimization: The ability to run 5+ A/B tests at any given time enabled constant refinement and improvement of landing pages based on real-time data.
• 55% overall conversion boost via localized, personalized landing pages.
• Form fill rate up 11.6%, generating more form fills and MQLs while creating a wider top of funnel without increasing spend or changing the ad strategy.
• Conversion rate up 24%, expanding the top of funnel without increasing spend or changing the ad strategy.
• Adjusted CPL remained stable despite industry-wide CPC rises driven by festival seasonality.
• Adjusted CPA down 20%, as consistently generating more qualified leads lowered the adjusted CPA across the pilot period.

"Fibr helped us break language barriers. Localized landing pages made in minutes, 55% conversion boost — a win for our diverse audience and our bottom line. Marketing team loves the control and ease of use."

Conclusion

By acknowledging and embracing the linguistic and cultural diversity of its user base, this leading BFSI player set a new benchmark for consumer engagement in India's dynamic financial sector. This story is more than just about numbers; it's a lesson in empathy and understanding. It's a powerful reminder that in the world of finance, as in life, the most meaningful connections are made when we speak in a language that resonates with the heart.

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.