Case Study: Drops achieves global customer insight and faster analytics with Indicative

How Indicative equips Drops with a deep understanding of customers to create alignment between quantitative trends and human perspectives

Drops, a global language-learning app, needed a scalable analytics solution to better understand its users, unify a geographically dispersed team, and support compliance requirements as it expanded to more than 35 languages. The company turned to mParticle Analytics to replace limitations in its prior analytics setup and to give its small data team faster access to historical, event-level data.

With mParticle Analytics, Drops gained a cost-effective platform for collecting large volumes of events, running funnel and segmentation analyses, and exporting data to BigQuery. The result was faster, deeper ad hoc analysis, better alignment between quantitative trends and customer experience, and more efficient reporting across the company, while also supporting regulatory compliance for its children’s app launch.

Drops

William Rekshan

Growth Data Analyst