54%
improvement in cost-per-acquisition
$3.6M
in additional marketing expenses saved
Background
The client is a luxury rental business owner that operates several high-end properties across major cities in North America. Despite offering top-notch amenities and unparalleled customer service, the company was struggling to fill vacancies and attract new tenants.
The luxury apartment rental company was facing the following challenges:
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Low occupancy rates and difficulty in attracting new tenants
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Too many incentives eating away their profit margins.
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Difficulty in identifying and targeting the right audience
The company decided to partner with Jupyter Analytica— a firm that specializes in AI-driven marketing solutions catered towards profitability and minimizing costs. We proposed a multi-faceted approach to address the client's challenges.
Audience & Propensity Modeling
Hyper-targeted, revenue-driven advertising
Data-driven Optimizations
Increased Occupancy Rates
The highly targeted ad campaign resulted in a significant increase in the number of inquiries and qualified conversions, which translated into higher occupancy rates.
Improved Revenue & Profitability
The increased conversion volume directly translated to higher rental income. Targeting affluent demographics that are less price sensitive and reliant on incentives during decision-making processes contributed to higher profits.
Cost-effective Advertising
The advertising campaign was more cost-effective than previous marketing efforts, as it focused on the most promising audience segments, resulting in lower ad spend.
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