- LLPIN: ACD-2052
- GSTIN: 05AFCFS7924L1ZM
Noida Property Wala was struggling to generate consistent high quality real estate leads in Greater Noida West. Their previous campaigns were delivering low intent inquiries, poor lead quality, and rising acquisition costs. Monthly lead volume was stuck between 80 to 100 leads, while the average cost per lead had reached ₹340. This made scaling difficult and reduced the overall return on ad spend. The client needed a predictable lead generation system that could attract serious homebuyers and lower marketing costs.
We started by analyzing the Greater Noida West residential market, local competitors, buyer behavior, and common objections. This helped us identify what genuine homebuyers wanted to see before submitting their details. We then aligned ad messaging with real buyer intent instead of generic property promotions.
Instead of static creatives, we launched short-form property video ads showcasing project highlights, amenities, location benefits, and pricing hooks. Video creatives helped improve attention, build trust quickly, and generate stronger engagement from interested buyers.
We built multiple audience layers based on demographics, location radius, income potential, property interests, and engagement behavior. Separate campaigns were created for cold audiences, warm visitors, and remarketing prospects to improve lead quality.
Leads were redirected into a faster response journey through WhatsApp and call follow-up systems. This reduced lead drop-off, increased response rates, and helped the sales team connect with prospects while interest was high.
We continuously tested creatives, ad copies, audience sets, and placements every week. Underperforming combinations were paused quickly, while winning campaigns received more budget. This disciplined optimization steadily reduced CPL and increased qualified lead volume.
Before working with us, the account was producing only 80 to 100 monthly leads. Cost per lead had climbed to ₹340, and many inquiries were low intent. Scaling budgets was risky because higher spending did not improve results.
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