Workplace fitness membership network across Australia and New Zealand
Fitness Passport operates a B2B2C fitness marketplace connecting employers, employees, and gym facilities across ANZ. The tech stack—React Native, Node.js, GraphQL, dbt, Snowflake, and Salesforce—indicates a mobile-first consumer experience layered over enterprise sales infrastructure. Current hiring focus (sales-heavy: 3 of 7 open roles) and active projects (warm prospect conversion, pricing automation, churn prediction models) suggest the company is scaling enterprise go-to-market and building data capabilities to reduce onboarding friction and optimize membership retention.
Fitness Passport is a workplace health and fitness platform founded in 2007 that aggregates gym and fitness facility memberships under a single corporate wellness program for employers across Australia and New Zealand. The company partners with mid-market and enterprise employers to offer employees flexible, subsidized access to a network of fitness facilities, positioning itself around convenience, variety, and cost competitiveness. The business model connects three stakeholders: employers seeking workplace wellness solutions, employees seeking affordable fitness access, and fitness facilities seeking customer volume and stability. Based in Sydney with 51–200 employees, the company operates a SaaS sales motion (Salesforce-backed) alongside a mobile app and web platform.
React Native and React for front-end; Node.js and NestJS for backend; Snowflake and dbt for data warehouse and transformation; Power BI and Looker for analytics; Salesforce (Sales Cloud and Service Cloud) for CRM; Braze, Customer.io, and Iterable for customer engagement.
Core projects include warm prospect conversion and onboarding automation, A/B testing programs, churn prediction and revenue forecasting models, metrics layer development, and variable pricing testing for new membership tiers.
Fitness Passport'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.