Google Ads Case Study:
Google Ads Case Study:
With well-thought-out homes in prime location, Evo Homes is a luxury real estate company that is Transforming modern living. They provides living environments that combine luxury with intelligent utility, with importance on innovation, quality, and sustainability. Evo Homes serves urban homebuyers looking for a sophisticated, future-ready lifestyle with a dedication to customer-centric design and on-time project delivery.
The objective was to drive high-intent lead generation for Evo Homes premium residential projects in Bangalore through highly targeted Google Ads campaigns, with a focus on ready-to-move apartments, luxury villas, and gated communities.
Before launching this campaign, the client experienced:
Low CTR (Click-Through Rate) indicating weak ad engagement
Inefficient CPC (Cost per Click) performance impacting ROI
Low Quality lead flow despite healthy ad impressions
Poor metrics regarding engagement on landing pages.
Inadequate keyword targeting causes high-intent audiences to be missed.
Our PPC team implemented a comprehensive campaign strategy with the following focus areas:
Deployed Search Campaign to reach a maximum audience through targeted industry keywords and also retargeted the audience to enhance engagement and conversions.
Focused on long-tail and geo-specific keywords for greater buyer intent targeting
Ran continuous A/B testing of headlines and descriptions to improve CTR and lead volume.
Ensured fast load speeds, responsive mobile design, and conversion-oriented layout
Fine-tuned bids and targeting to achieve a lower CPC while lifting ad relevance scores.
Tested bidding techniques to continuously improve campaign effectiveness.
The Google Ads campaigns achieved the following performance gains in just three months:
| Metric | Growth Achieved |
|---|---|
Clicks |
 0% |
Conversions |
0% |
Cost per Conversion |
 0% |
This case study reflects how data-driven targeting, ad testing, and campaign structure can result in a high conversion rate with less spending efficiency. By aligning ad strategy with user behaviour and market intent, the campaign delivered quality leads and laid the groundwork for future scaling.
This case study reflects how data-driven targeting, ad testing, and campaign structure can result in a high conversion rate with less spending efficiency. By aligning ad strategy with user behaviour and market intent, the campaign delivered quality leads and laid the groundwork for future scaling.
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