More qualified enquiries from the same spend, validated across 104
matched pages and 3 city segments tested
COMPANY OVERVIEW
DevX, at a glance.
A no-code landing page personalization platform used here by an office interior design business to serve hyper-relevant pages to each searcher. DevX is one of India's largest flexible workspace platforms, connecting businesses of all sizes to managed offices, coworking spaces, and interior design services across Tier 1 and Tier 2 cities. Publicly listed on NSE and BSE since September 2025, the company operates as a one-stop integrated platform spanning workspace sourcing, design, and facility management.
FOUNDED
2017
INDUSTRY
Flexible Workspaces and Office Interior Design
GEOGRAPHY
11 cities, 28 centers, 15+ offices
use case
Landing page personalization for paid search (Google Ads)
SCALE OF OPERATIONS
14,000+
Managed seats
72.1 Cr
FY25 Revenue (+54% YoY)
₹178.9 Cr
FY25 Revenue
150+
Offices
A paid search programme on Google Ads covering office interior design keywords across Bangalore, Hyderabad, and Mumbai. Generic intent queries, geo-specific searches, and premium service-type intent. 104 total keywords across three city segments, each representing a different buyer at a different stage of the enquiry process.
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
Every search was specific. The page that received it wasn't.
The performance marketing team at DevX ran paid search campaigns on Google Ads across Bangalore, Hyderabad, and Mumbai reaching businesses actively searching for office interior design. But every click, regardless of keyword, city, or intent, landed on the same generic page. With Fibr, the team matched every keyword to its own landing experience across 104 pages live within a week, no engineering involvement required. The result: a 458% lift in conversion rate from the same spend.
THE CHALLENGE
DevX's paid campaigns ran on Google Ads across three cities, targeting buyers through office interior design search terms: generic intent queries like "office interiors near me," geo-specific intent like "office interiors bangalore," and likely premium or service-type intent searches. Each keyword represented a different buyer at a different stage of the decision.
But regardless of keyword, city, or ad group, every visitor landed on the same page: the same hero, the same form, the same generic CTA, with no acknowledgement of where they were searching from or what they were looking for.
The cost of mismatch
The baseline conversion rate before Fibr was below 3.61%. Bounce rates ran as high as 100% on certain traffic segments. The generic CTAs "Get Free Consultation" and "Get Started" were actively reducing professional authority and lowering conversion intent. The team had already identified the root cause: simple website copies tied to location had to be changed for every city's paid landing pages, but doing that manually at keyword level was not feasible. Every day without a solution was a day of qualified search intent landing on a page built for no one in particular.
THE SOLUTION
One URL. A matched experience for every search that pointed to it.
Fibr approached the problem in three steps: surfacing the specific root causes through its learning module, structuring personalization around the signals already present in every search, and deploying 104 matched experiences without a single engineering ticket.
STEP 1
The Analysis: over-styling and generic messaging were the culprits
Fibr's learning module surfaced the specific root causes across 207 total variants considered over a 50-day learning period (10 April to 30 May). Aggressive over-styling including font size and weight increases was causing bounces. Generic messaging was underperforming consistently. These findings gave the team a clear brief before a single production variant was finalized.
STEP 2
The Signals: keyword intent, geo, ad group, CTA copy, visual structure
Fibr structured personalization around the signals already present in every campaign. Each of the 104 keywords was mapped to a unique landing page variant. Fibr also tested visual design elements: CTA button color and style, copywriting, and structural changes including trust signals and sub-elements. CTA backgrounds moved from transparent to solid Deep Blue (#0D47A1). Sub-elements were updated to include privacy policy and service guarantees as trust signals.
STEP 3
The Setup: 104 experiences, 1 week from brief to live
207 total variants were generated and evaluated over the 50-day learning period. 85 were selected for analysis. Variants were sorted by confidence level at 90%, 85%, 72%, 65%, and 60%. Winners and losers were determined by engagement rate, bounce rate, conversion rate, and time on page. No engineering involvement was required at any stage.
The New User Experience
Keyword intent, city segment, and DevX's brand guidelines followed the visitor from the first fold, matching the CTA copy, trust signal placement, and visual treatment to the search term they came from. Nothing was lost between the ad and the page.
The results
Controlled test: Original (control) vs. all Personalizations (variant) tracked in Fibr's dashboard. Time window: 10 April to 17 June 2026 (approximately 68 days of live data). Learning period: 10 to 30 April (50 days). Primary and all Personalizations trend lines showed consistent improvement across the full period.
LEAD CONVERSION
↑458%
Overall lift versus control, sustained across the full 68-day test (3.61% conversion rate, 22 conversions from 610 sessions).
BOUNCE RATE
↓100%
Dropped to 0% on Deep Blue CTA styling variants across Bangalore, Hyderabad and Mumbai.
CLICK RATE ON PAGE
↑25 %
More visitors clicking through to the next step, consistent across both campaign runs and traffic splits tested.
TIME ON PAGE
59 Sec
Visitors spending twice as long on matched pages versus the generic control page in Campaign 2 test.
KEY INSIGHTS
INSIGHT 01
Insight 01 In B2B service categories, a generic CTA is a trust failure.
Get Free Consultation" and "Get Started" were identified as losers. Matched CTAs like "Get Your Free Design Consultation," "Book Free Consultation," and "Get Premium Office Interiors" drove CVR to 25.81% in top cohorts. The CTA is not decoration at the bottom of the fold. It is where intent meets commitment.
INSIGHT 02
Insight 02 Over-styling loses conversions before the visitor even reads the copy.
Aggressive font size and weight increases were directly causing bounces. Fibr's learning module identified this from variant data, not from a hypothesis. Visual personalization that optimizes styling alongside copy outperformed copy-only changes consistently. What a page looks like is as much a trust signal as what it says.
INSIGHT 03
Insight 03 Geo-context converts. Style without geo does not.
Bangalore cohorts with trust-signal-driven geo-specific content hit 25.81% CVR and 8 conversions. Mumbai variants that used regional headline styling but dropped geo-messaging performed at 88.9% engagement but underdelivered on conversion. For a service business operating across cities, location context is not a supporting element. It is the conversion mechanism itself.
