NK Realtors, established in 1987, is one of Eastern India’s leading real estate consultancies, known for its customer-centric approach and comprehensive property solutions. With over 75,000 satisfied customers, the company has marketed approximately 3 crore sq. ft. of residential and retail space, offering services ranging from property transactions to strategic advisory and valuation.
The Burj, a flagship project by ATK Kalim Group, is a luxurious residential complex located near the EM Bypass in Kolkata. This premium development features spacious 3 and 4 BHK apartments, a 15th-floor floating terrace clubhouse, rooftop infinity pool, and over 70% open spaces, setting new standards for luxury living in the city.
To enhance The Burj’s market presence, we implemented a targeted PPC strategy aimed at increasing qualified leads, boosting visibility, and driving traffic to the landing page, thereby contributing to the project’s successful outreach.
The number of inquiries and form submissions was below expectations.
Many of the leads generated were not suitable or did not convert into sales.
Limited visibility and traffic on the landing page.
We implemented a data-driven PPC strategy focused on precise audience targeting, leveraging high-intent keywords, and optimizing ad creatives. Our approach included A/B testing of ad copies, strategic bid management, and landing page enhancements to ensure better user experience, ultimately driving qualified leads, higher visibility, and increased traffic.
Created highly targeted search ad campaigns for lead generation. Each campaign was tailored to targeted audiences with customized ad copies and extensions that emphasized proximity and the unique offerings. This helped increase ad relevance and click-through rates (CTR) by ensuring that the messaging aligned with the specific needs and preferences of potential customers.
Conducted in-depth keyword research to identify the most relevant and high-performing keywords. Focused on search terms such as “luxury apartment in Topsia,” “luxury apartment near Maa flyover,” and “best premium apartment in Kolkata.” This approach ensured that our ads appeared in front of users actively searching for apartment in the target areas, increasing the likelihood of generating qualified leads. Additionally, negative keywords were used to filter out irrelevant traffic and enhance the quality of leads.
Implemented Performance Max campaigns focused. These campaigns leveraged Google’s machine learning to optimize ad placements across Search, Display, and YouTube, targeting users most likely to by apartment. By using local inventory ads attractive CTAs and “call now” buttons, we maximized visibility and traffic.
Regularly optimized ad copies and visual assets (images, videos, and banners) were tested and adjusted based on performance data. We experimented with different headlines, descriptions, and calls to action to find the most effective combinations. This iterative approach ensured that our ads remained fresh, relevant, and compelling to potential customers
Used a mix of manual bidding and automated bidding strategies (such as “Maximize Conversions” and “Target CPA”) to control ad spending while optimizing for conversions. Manual bidding was used to focus on high-performing keywords and ad sets, while automated strategies helped adjust bids in real time to maximize leads and increase traffic on LP within budget constraints.
Detailed audience segmentation was employed to target potential customers based on specific demographics, interests, behaviors, and past interactions with the website. This included retargeting previous visitors who had shown interest but not converted, as well as using custom audiences to reach high-value prospects likely to visit the stores.
Implemented remarketing campaigns targeting users who had previously visited the website but had not completed a form or made a call. These ads used dynamic content to remind users of the benefits of visiting the store, showcasing recent customer reviews, testimonials, and current offers to encourage conversions.
Set up call tracking to measure the effectiveness of call extensions and “call now” buttons directly from the ads. Integrated Google Analytics and Google Tag Manager to track form submissions, calls, and store visit conversions accurately. This setup provided detailed insights into user behavior and ad performance, enabling continuous optimization.
Regularly monitored campaign performance, analyzing metrics such as CTR, cost per lead (CPL), leads data, and conversion rates. Based on these insights, we made data-driven adjustments to bidding strategies, audience targeting, ad placements, and budget allocation to maximize results.
We used a single landing page to test and optimize layout and content for maximum conversions. We used Microsoft Clarity to track user behavior, including heatmaps, click patterns, and scroll depth, to identify the performance on the landing page. We kept continuous improvements to enhance user experience, reduce bounce rates, and increase form submissions.
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