Case Study: Wunderflats achieves over 80% tenant conversion with Fivetran

A Fivetran Case Study

Preview of the Wunderflats Case Study

Fivetran Enables Wunderflats’ Business Critical Data Strategy

Wunderflats, Germany’s leading platform for temporary furnished housing, faced limited analytics when reporting relied on manual extracts and Google Sheets. To build a data-driven business and power customer-facing recommendations, they needed a reliable way to sync production and marketing data into their warehouse for ML and product optimization—so they adopted Fivetran to automate pipelines from MongoDB and SendGrid into Google BigQuery alongside Sisense for BI.

Fivetran’s connectors now load about 80% of Wunderflats’ data into BigQuery (syncing as often as every 15 minutes), enabling hourly score updates that drive search rankings and machine-learning models. As a result, Wunderflats increased conversion rates from roughly 30–40% to over 80%, uncovered new market segments like student accommodation, freed engineering time, and cut costs by eliminating manual pipelines—making Fivetran business critical to their data strategy.


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Wunderflats

Gil Machado

Data Engineer


Fivetran

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