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How Xpert Cut Isprava's Cost Per Qualified Lead by 46%

Background

Isprava is a luxury real estate brand founded in 2016, crafting bespoke holiday homes and primary residences in destinations like Goa, Alibaug, and the Nilgiris, with individual homes ranging from ₹7 crore to ₹45 crore. Backed by family offices including the Godrej, Piramal, and Burman families, and more recently Alta Capital, the group has grown to over 200 homes and a valuation around ₹1,000 crore. Its sister brand, Lohono Stays, manages and rents these villas at the very top of the market. Isprava's clientele is narrow and exacting: industrialists, entrepreneurs, and senior professionals seeking exclusivity and uncompromising service. As the brand scaled its digital lead generation, reaching this rarefied audience efficiently, without diluting spend on unqualified prospects, became central to its growth strategy.

Challenge Faced

Isprava operates in one of the narrowest addressable markets in Indian advertising: genuine ultra-high-networth buyers capable of purchasing a multi-crore home. Conventional Meta targeting relied on 1% lookalike audiences built from existing customer lists, a method that broadens reach but cannot distinguish a serious luxury buyer from someone who merely resembles one demographically. The result was a familiar pattern. Lead volume at the top of the funnel stayed respectable, but conversion to genuinely qualified leads remained thin once the sales team engaged. With high media costs and a long, consultative sales cycle, every unqualified lead represented wasted spend and diluted sales effort. Isprava needed to reach buyers with demonstrable purchasing power rather than lookalike proxies, and to do so within iOS audiences, where signal loss makes precision even harder to achieve.

Xpert's Strategy Undertaken

Xpert deployed its verified buyer network to build a custom audience of confirmed luxury consumers, individuals identified through real, high-value transaction signals across Xpert's retail intelligence platform rather than inferred demographics. Instead of asking Meta's algorithm to find people resembling past customers, Xpert supplied audiences anchored in actual buying behaviour, filtered to the affluent pincodes and consumption profiles consistent with Isprava's clientele. This XpertBuyer audience ran head-to-head against Isprava's existing 1% lookalike prospecting campaign under matched creative and bidding conditions. Xpert refined the segment week by week, excluding junk-location pincodes and recalibrating geography. That included adding pincodes while deliberately holding out specific Delhi and Gurugram zones, concentrating spend on the highest-probability buyers. In short, the approach replaced statistical similarity with verified intent.

Results Achieved

By every measure that matters to a luxury advertiser, the verified-buyer audience outperformed the lookalike approach. Cost-per-qualified-lead fell by 46%, the single largest efficiency gain of the campaign. More tellingly, the lead-to-qualified-lead conversion rate rose by roughly 81%, close to double, meaning Xpert's leads were far more likely to qualify once the sales team engaged. The XpertBuyer segment also lifted the click-to-lead rate by around 38%, signalling higher genuine intent among the people it reached. It delivered all of this while spending close to three-quarters less than the lookalike campaign, proving the efficiency held even at a fraction of the budget. For a brand selling multi-crore homes, nearly halving the cost of every qualified conversation is a direct, measurable lift to marketing ROI.

Inferences & Insights

This campaign demonstrates that for ultra-premium categories, audience quality matters far more than audience size. Lookalike modelling optimises for resemblance, but resemblance is not the same as capacity to buy, a distinction that becomes decisive when the product costs crores. By grounding targeting in verified transaction behaviour rather than demographic inference, Xpert improved the metric that actually matters to a luxury brand: the rate at which leads convert into qualified opportunities. For other high-ticket categories such as real estate, premium automotive, fine jewellery, and private wealth, the lesson is clear. As platform signal loss on iOS continues to erode the precision of behavioural proxies, brands that anchor their audiences in realworld buying evidence will spend less to reach the few people who genuinely matter, and waste far less on the many who never will.

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