How Fibr Helped Asian Paints Boost Conversions at Scale
About Asian Paints
Asian Paints isn't just a brand — it's a household name across India, synonymous with vibrant colors, premium finishes, and turning houses into dream homes. For decades it has been the go-to choice for homeowners who want more than just paint; they want inspiration, quality, and a touch of magic in every room. With a legacy of transforming living spaces, Asian Paints has mastered the art of delighting customers offline. To keep pace with a growing digital audience, the brand set out to bring that same personalized charm online, aiming to connect with homeowners in a way that felt just as special as a freshly painted wall.
The Challenge
Despite its strong brand reputation and significant investments in digital advertising, Asian Paints faced several hurdles in optimizing its online marketing efforts.
- Generic Digital Experience: Standard landing pages failed to reflect the personalized touch Asian Paints is known for, leading to lower engagement and missed conversion opportunities.
- Mismatch with Customer Intent: Users searching for branded terms (e.g., "Asian Paints premium paints") or generic keywords (e.g., "best wall textures") encountered irrelevant content, causing high bounce rates and low returns on ad spend.
- Scaling Limitations: Manually creating tailored landing pages for diverse campaigns — spanning paint solutions, decor services, and regional preferences — was time-intensive and resource-heavy, restricting scalability.
- Suboptimal User Journeys: Excessive page depth, including lengthy FAQs, diluted focus and reduced click-through rates (CTR), even if time spent on pages remained stable.
Asian Paints needed a solution to align its Google Search Ads with customer intent, improve acquisition rates, and scale personalization without overburdening its marketing team.
The Solution: Fibr's AI-Powered Personalization
Fibr partnered with Asian Paints to improve its digital approach using AI-powered landing page personalization. With Fibr's Web Pilot and Ad Personalization tools, the effort focused on Mumbai and Delhi Google Search Ads, creating personalized experiences for a large audience.
Mass Personalization at Scale
Fibr created 1,204 unique landing pages tailored to branded keywords (e.g., "Asian Paints Royale") and generic keywords (e.g., "modern wall paints"). Each page was dynamically generated to match user intent, ensuring relevance for every click.
Keyword-Level Optimization
For Mumbai, landing pages highlighted local decor trends, such as vibrant textures for urban homes. In Delhi, pages emphasized eco-friendly paints and weather-resistant solutions suited to the region's climate. Branded keywords linked to premium offerings, while generic keywords showcased broader home decor solutions.
Text, Image, and CTA Personalization
Pages featured customized headlines (e.g., "Transform Your Mumbai Home with Asian Paints"), relevant imagery (e.g., local home makeovers), and intent-matched content. Fibr introduced new CTAs — such as "Explore Your Color Options" and "Book a Free Consultation" — replacing generic prompts like "Submit" to boost user click rates. AI auto-matched ad copy with landing page elements, ensuring seamless continuity.
Reduced Page Depth for Streamlined Journeys
Fibr eliminated unnecessary sections like FAQs, reducing page depth without sacrificing time spent on-site. This streamlined design kept users focused on key actions, enhancing CTR and conversion potential.
Effortless Deployment
Using Fibr's no-code WYSIWYG editor, Asian Paints' marketing team deployed and refined campaigns without developer dependency. Bulk creation capabilities enabled rapid scaling across 1,204 pages, saving time and resources.
Results
- Form Fill Rate
- ↑ 11.6% — more form fills and MQLs, creating a wider top of funnel without increasing spend or changing the ad strategy.
- Conversion Rate
- ↑ 24% — more form fills and MQLs, creating a wider top of funnel without increasing spend or changing the ad strategy.
- Adjusted CPL
- Stable — despite industry-wide CPC rises driven by festival seasonality, the adjusted CPL remained stable.
- Adjusted CPA
- ↓ 20% — consistently generating more qualified leads lowered the adjusted CPA across the pilot period.
Personalization Drives Acquisition and Conversions
Asian Paints' Beautiful Homes vertical saw an uplift in customer acquisition for the Google Search Ads campaign by aligning landing pages with user intent. Higher acquisition rates also meant reduced customer acquisition costs.
Simplicity Enhances Engagement
Improved CTR came from action-oriented CTAs like "Book a Free Consultation" replacing generic prompts. Streamlined page depth — including trimmed FAQs — kept users focused, maintaining stable time-on-page metrics.
Scalability Optimizes Costs and Efficiency
1,200+ AI-generated pages improved ad relevance, boosting Google Ads Quality Scores and reducing adjusted CPL. Effortless deployment via Fibr's no-code tools eliminated operational strain, enabling rapid campaign scaling.
"Fibr helped us match every Google Ad with a personalized landing page at scale. It's how we brought the beautiful homes vertical closer to every customer."
Conclusion
By partnering with Fibr, Asian Paints transformed its Google Search Ads into a powerful conversion engine. The creation of 1,204 personalized landing pages for Mumbai and Delhi not only addressed the challenges of generic experiences and scaling but also set a new benchmark for digital engagement in the home decor industry. With higher CTR, improved acquisition rates, and a scalable personalization strategy, Asian Paints is now positioned to capture more opportunities, turning online visitors into loyal customers.
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.