Media agency specializing in omni-channel campaign measurement and audience segmentation
Good Apple operates a full-service media agency with deep infrastructure for measurement and audience activation across paid channels (Google, Meta, The Trade Desk, Amazon, Pinterest). Their tech stack—anchored on Snowflake, Looker, and Tableau for analytics, plus DataRobot and Dataiku for modeling—supports active projects in omni-channel segmentation, custom algorithms, and measurement implementation. Hiring is heavily weighted toward marketing (82% of open roles), with director-level additions signaling growth in client-facing strategy rather than new product or platform development.
Notable leadership hires: Media Director
Good Apple is an independent media agency founded in 2008 and headquartered in New York. The firm works with publishing, agency, and brand-side clients across media strategy, planning, buying, and analytics—specializing in digital, paid social, search, and offline media integration. The company operates its own data infrastructure (Snowflake, Redshift, Fivetran, Rivery) to power measurement, custom audience creation, and performance optimization across first-party and publisher platforms. Current project priorities include standardizing measurement frameworks, connecting offline business outcomes to digital campaign performance, and scaling proprietary audience and bidding algorithms.
Good Apple uses Snowflake and Redshift for data warehousing, Looker and Tableau for visualization, and Fivetran and Rivery for data integration. They've also adopted DataRobot and Dataiku for machine learning and custom algorithm development.
Good Apple operates across Google Campaign Manager 360, Google Ads, Search Ads 360, The Trade Desk, Meta Ads Manager, Amazon Ads, Apple Search Ads, Pinterest, Microsoft Advertising, Bing Ads, Nextdoor, and Google Ad Manager.
Good Apple's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.