3.25× more deals
closed in 90 days
Rajesh Properties went from 4 deals/month to 13 — not by hiring more staff, but by making sure no lead ever went unanswered again.
28s
Lead response (was 47 min)
41
Site visits/month (was 18)
13
Deals/month (was 4)
14hrs
Team hours saved/week
The challenge
Rajesh Malhotra runs a property brokerage in Mumbai with a team of 3. They were generating 60–70 leads per month from 99acres and MagicBricks — a solid pipeline on paper.
The problem: 40% of leads came in after 7pm, when the team had gone home. By the time someone followed up the next morning, the lead had already spoken to 3 other brokers.
Manual follow-ups were consuming 2 hours every morning. The team was spending more time on admin than on showing properties. Rajesh was personally sending WhatsApp messages at midnight trying to catch up.
In 3 months before Niyog AI, they closed an average of 4 deals/month — with an estimated 60% of qualified leads slipping away due to slow follow-up.
The solution
Alex (WhatsApp Intake)
First point of contact for all leads
Lead Qualifier
Budget, timeline, location — filters serious buyers
Site Visit Scheduler
Books confirmed appointments in calendar
Follow-up Sequence
7 touches over 60 days for warm leads
Daily Leads Digest
Morning briefing: new leads, visits, follow-ups due
What happened, week by week
Week 1
Alex activated and configured for real estate. First 12 leads handled in seconds — 8 qualified, 4 site visits booked.
Week 2
Follow-up sequence triggered for 23 leads. 6 leads re-engaged who had gone silent after initial contact.
Month 1
Site visit bookings: 41 (vs 18 previous month). First 2 deals closed that came through Alex-managed pipeline.
Month 3
13 deals closed. Team reports saving 14 hours/week. Lead response time consistently under 30 seconds.
In real estate, the agent who responds first wins. Niyog AI made sure that agent is always me. I stopped worrying about missing leads and started focusing on closing them.
Rajesh Malhotra
Founder · Rajesh Properties, Mumbai
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Book Free DemoDisclosure. Composite scenario based on aggregate product behaviour — names and figures illustrative.
The business name, person, photo, dates, deal sizes, and direct quotes in this case study are illustrative composites assembled from aggregate Niyog AI usage patterns across the segment described. They do not represent a single specific customer or endorsement. Real customer case studies will be published with full named attribution as our first ten paying clients agree to be quoted.