Good Apple
Media buying agency automated data ingestion, halved reporting turnaround to enable scalable growth.
Business goals
Good Apple, a media planning and buying agency serving businesses such as Dollar General and Smile Train, doubled in size annually. The company needed modern data operations to empower analysts with client-ready insights without reliance on IT.
Good Apple decided to eliminate manual, time‑intensive reporting with a self‑serve, company-wide data platform that scaled with demand. The solution would automate ingestion, streamline reporting, and integrate seamlessly with Snowflake and Looker without inflating costs.
Integration Challenges
Good Apple’s tech stack couldn’t scale, and its teams hand‑stitched client pipelines, which consumed engineering time and delayed insights. Legacy tools lacked agility, requiring custom connectors, brittle maintenance, and back ends that were inflexible and slow to update.
Reporting was inefficient, with client reports taking up to 72 hours each week, resulting in interdepartmental friction, and missed deadlines. As demand grew for fast, customized insights, the organization struggled to keep pace.
How Boomi Helped
Boomi Data Integration anchored Good Apple’s stack with Snowflake and Looker, replacing manual ingestion with 200+ prebuilt connectors. The team now runs 200+ daily data pulls across dozens of clients, automates ETL in Snowflake via workflows, and enables non-technical leads to build and customize reports without day-to-day engineering support.
Usage-based pricing enables Good Apple to scale automation and insights company-wide without incurring additional costs.
Results
Boomi Data Integration anchored Good Apple’s stack with Snowflake and Looker, replacing manual ingestion with 200+ prebuilt connectors. The team now runs 200+ daily data pulls across dozens of clients, automates ETL in Snowflake via workflows, and enables non-technical leads to build and customize reports without day-to-day engineering support.
Usage-based pricing enables Good Apple to scale automation and insights company-wide without incurring additional costs.
