Case Study: a leading US real estate marketplace achieves 15-22% higher engagement with LatentView Analytics' Databricks Bayesian MMM solution

a leading US real estate marketplace boosts engagement 15-22% with LatentView Analytics

LatentView Analytics partnered with a leading US real estate marketplace that was facing challenges with its marketing analytics. The client's Media Mix Modeling process was fragmented and manual, leading to inconsistent attribution, slow model development, and a lack of visibility that hindered data-driven decision-making for its marketing spend.

LatentView Analytics developed a standardized and automated Bayesian Media Mix Modeling framework on the Databricks platform. This solution incorporated MLOps for reliability and used Databricks AI/BI dashboards for visibility. The implementation delivered significant results for the client, including a 15-22% boost in platform engagement, a 30-40% improvement in digital efficiency, and a 75-80% acceleration in insight generation.