Boost in conversions from Google Search Ads, driven by 1,204 personalized
landing pages built and deployed without a single engineering ticket.
COMPANY OVERVIEW
Asian Paints, at a glance.
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. With a legacy of transforming living spaces, Asian Paints has mastered the art of delighting customers offline, and set out to bring that same personalized charm to a growing digital audience.
FOUNDED
1942
INDUSTRY
Paints, Coatings & Home Décor
EMPLOYEES
11,000+
GEOGRAPHY
Pan-India, present in 60+ countries
use case
Landing page personalization for Google Search Ads
SCALE OF OPERATIONS
₹36,000+ Cr
FY25 revenue
27
Manufacturing facilities across 15 countries
60+
Countries served worldwide
84+
Years in the industry
A Google Search Ads programme across Mumbai and Delhi covering branded keywords (like "Asian Paints Royale") and generic keywords (like "modern wall paints") each representing a different customer intent, from premium product seekers to broader home decor exploration.
We quickly adopted Fibr AI to align our ads with personalized landing pages, achieving great results with minimal effort. We're excited to scale this across our campaigns for increased growth and improved team productivity.
A
Abhishek Bhushan
Senior Manager, Performance Marketing · Livspace
In a Nutshell
A household name offline, running generic pages online.
Asian Paints' digital ads were reaching a huge, high-intent audience but every click still landed on standard pages that didn't reflect the personalized touch the brand was known for. Branded searches and generic searches saw the same experience, page depth diluted focus, and scaling personalization by hand across every campaign wasn't realistic for the marketing team. With Fibr AI, Asian Paints deployed 1,204 unique, intent-matched landing pages across Mumbai and Delhi lifting conversions 12%, cutting CAC 20%, all with zero minutes spent on coding or operations.
THE CHALLENGE
Despite its strong brand reputation and significant investment in digital advertising, Asian Paints' standard landing pages failed to reflect the personalized touch the brand is known for leading to lower engagement and missed conversions. Users searching branded terms like "Asian Paints premium paints" and users searching generic terms like "best wall textures" landed on the same content, driving high bounce rates and low returns on ad spend. Manually building tailored pages for every campaign, spanning paint solutions, decor services, and regional preferences, simply didn't scale.
The cost of mismatch
Form fill rate was stuck at 17.5%. Google Ad Quality Score was suffering. CPA was high. Bounce rates were high across all traffic segments. The team was slightly aware of the problem but did not have a mechanism to act on it at scale. Once Google Ads and Google Analytics were connected to Fibr, the full picture came into focus.
THE SOLUTION
1,204 pages, matched to keyword intent, deployed without a single developer.
Fibr AI 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.
STEP 1
Mass personalization at scale
Fibr created 1,204 unique landing pages tailored to branded keywords (like "Asian Paints Royale") and generic keywords (like "modern wall paints"), each dynamically generated to match user intent so every click landed somewhere relevant.
STEP 2
Keyword-level, region-aware personalization
Mumbai pages highlighted local decor trends like vibrant textures for urban homes; 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 with headlines, imagery, and CTAs like "Explore Your Color Options" and "Book a Free Consultation" replacing generic prompts like "Submit."
STEP 3
Streamlined journeys, deployed without code
Fibr eliminated unnecessary sections like FAQs, reducing page depth without sacrificing time spent on-site, keeping visitors focused on key actions. Using Fibr's no-code WYSIWYG editor, Asian Paints' marketing team deployed and refined all 1,204 pages in bulk, without developer dependency.
The New User Experience
Branded and generic keywords each carried their own headline, imagery, and CTA, matched to city-specific decor trends and climate needs from the first fold with AI keeping ad copy and landing page messaging in sync end to end.
The results
Personalized landing pages outperformed the original generic experience across every metric measured.
PAGES CREATED
1,204
Personalized landing pages built around branded and generic search intent across Mumbai and Delhi.
CONVERSIONS
↑12%
Higher conversion from matching landing page content to the specific keyword and intent behind each ad click.
CAC
↓20%
More visitors clicking through to the next step, consistent across both campaign runs and traffic splits tested.
MARKETS
2
Personalized experiences deployed across Mumbai and Delhi, tailored to local search intent.
Cohort standouts
Value-based comparison messaging improved engagement consistently across segments. Geographic headline personalization drove the highest conversion rates of any cohort tested.
KEY INSIGHTS
INSIGHT 01
Personalization has to reach the keyword level, not just the campaign level
Branded and generic searches represent fundamentally different intents. Building 1,204 pages instead of a handful of campaign-level variants was what let Asian Paints match relevance to the actual search, not just the broader ad group.
INSIGHT 02
ction-oriented CTAs outperform generic prompts
Book a Free Consultation" and "Explore Your Color Options" outperformed generic prompts like "Submit." Naming the next step in language that matches visitor intent drove stronger click-through, even at this scale
INSIGHT 03
Cutting page depth can boost CTR without costing engagement
Removing sections like FAQs reduced page depth and lifted click-through rate, while time-on-page held steady. Shorter wasn't a compromise here it kept visitors focused on the action that mattered.
