The Situation
This client is a real estate consulting firm managing 4 residential projects in and around Mumbai. Their sales team had the capacity to handle 250 to 300 leads a day, but two problems kept getting in the way of hitting that number consistently: their Meta and Google ads were being rejected far too often, and their landing pages were unreliable, going down or lagging at random.
In short: the demand and the sales capacity were there. The delivery pipeline wasn't.
What We Did
We fixed the foundation first. Every rejected ad was audited to find the pattern triggering platform reviews, and we rebuilt the creative and approval process to stop the cycle of rejections before it started.
At the same time, we rebuilt the landing pages from scratch, this time creating multiple versions, each matched to the tone and story of its specific Meta campaign, instead of sending every ad to one generic page.
We also found a goldmine sitting unused: a database of over 5,000 past buyer inquiries from Mumbai and nearby areas that had never been touched. We used it to build lookalike audiences, giving every new campaign a real head start.
To find what worked, we ran 6 campaigns in parallel, each split into 4 to 5 ad sets, testing different audiences and messaging side by side rather than guessing.
The Results
Over the 4-month engagement, the client went from an inconsistent, rejection-prone lead flow to a reliable ~300 leads/day, exactly matching what their sales team could handle. Ad rejections dropped by 80%, cost per lead settled at ₹90 to ₹120, and 1 in 4 leads (25%) qualified as sales-ready.
FAQ
Yes. The core approach, fixing ad compliance issues and building lookalike audiences from existing buyer data, applies to any market with a buyer database to work from.
4 months, from the initial audit through to the ~300 leads/day result.
We can still build effective audiences using platform targeting and early campaign data, though an existing database, even an unused one, tends to accelerate results significantly.