Case Study: Engel & Völkers boosts engagement and conversions with Snowplow

Engel & Völkers boosts conversions 5% with Snowplow

Engel & Völkers, a leading luxury real estate company, faced significant challenges with its fragmented DIY analytics pipeline built on Elasticsearch. The system lacked consistent data collection, making it impossible to reconstruct user journeys or gain actionable insights for personalization and marketing optimization. This led the company to seek a solution from Snowplow and its customer data infrastructure (CDI) product to build a modern data foundation.

By implementing Snowplow on Google Cloud Platform, Engel & Völkers gained a robust pipeline for behavioral data with schema validation and identity stitching. The solution powered a smart content recommendation engine that delivered measurable results, including a 5% increase in conversion rate, a 30% reduction in drop-off rate, and a 4% increase in engagement time. Snowplow provided the precise data ownership and quality needed to transform the company's analytics capabilities.

Engel & Völkers