Decision intelligence platform for marketing simulation and forecasting
Prophet builds a digital-twin platform that lets marketing and growth teams simulate business decisions before execution. The stack—Claude, ChatGPT, Python, Snowflake, Segment, plus marketing data platforms like Amperity and Braze—reflects a company focused on AI-assisted decision modeling layered over unified customer and campaign data. Heavy hiring in senior marketing and sales roles alongside active onboarding and partnership projects suggests Prophet is in growth-stage customer acquisition, prioritizing ease-of-use and structured go-to-market over product innovation velocity.
Prophet is an Australian decision intelligence platform (founded 2019, 51–200 employees) that models business systems to help marketing teams forecast outcomes and test strategies in simulation before deploying real campaigns. The product unifies measurement, forecasting, and scenario modeling—capturing non-linear effects like competition, promotions, and macro forces—to replace or supplement traditional marketing mix modeling. The company sells primarily to marketing teams, agencies, and growth organizations. Current operational focus centers on reducing time-to-value, scaling onboarding completion, building formal customer success processes, and resolving data integration complexity.
Python, Snowflake, Segment for data infrastructure; Claude and ChatGPT for AI capabilities; Salesforce, Braze, and Amperity for customer data and marketing operations integration.
Core focus areas include scaling onboarding processes, building customer success infrastructure, developing partnership models, designing experimentation frameworks, and improving measurement integration workflows.
Other companies in the same industry, closest in size