Real Estate · India
A Mumbai real estate developer cut cost per qualified site visit by 42% with WhatsApp lead qualification
Meta lead-gen ads were flooding the sales team with raw leads. By qualifying on WhatsApp before routing to humans, the developer moved the bottleneck from the sales floor to the AI agent.
Customer: Mid-market real estate developer (Mumbai) — anonymized with permission.
The challenge
The developer was running Meta click-to-WhatsApp lead-gen campaigns that pushed 400–600 raw leads a week to a sales team of 12. Most leads were outside the target budget, timeline, or location. Sales reps were spending their day filtering rather than closing, and CPL measured at the ad level looked fine — but cost per qualified site visit was 3× what it should have been.
The NimbleBiz setup
NimbleBiz was deployed as the first-touch layer on all inbound WhatsApp ads. The AI agent qualified on four criteria — budget, location, timeline, financing — in under four minutes of conversation, in Hindi, Marathi, or English per the lead's choice. Only leads meeting all four criteria were handed off to human reps with a full transcript and a tentative site-visit slot already suggested.
The outcome
Within 60 days, cost per qualified site visit fell 42%. Sales reps went from qualifying ~15 leads a day to closing ~5 site visits a day. Total ad spend was held flat; pipeline grew. The developer has since added two more project launches to the same setup without hiring additional sales headcount.
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