Traditional Marketing Mix Modeling (MMM) has been invaluable for quantifying the impact of marketing channels, but historically it has been slow, expensive, static, and accessible only to large enterprises. SMEs and mid-market businesses, despite contributing over 50–70% of economic activity in many countries; lack access to this essential capability due to high consulting costs, long model cycles, and lack of technical expertise. MMM-as-a-Service (MMMaaS) aims to democratize advanced marketing optimization by providing an automated, self-service, AI-powered MMM platform augmented with telco insights, enabling businesses of all sizes to understand which marketing investments drive outcomes, what should be reduced, and where incremental budget yields maximum return. The platform integrates proprietary telco behavioral signals (footfall proxies, mobility patterns, digital engagement), enterprise first-party data, and industry benchmarks into a privacy-preserving MMM engine. Users receive always-on, weekly-updated MMM models, channel contribution insights, scenario simulations, and recommended budget allocations; without requiring analysts or data scientists. Built on a vendor-agnostic architecture, MMMaaS allows CSPs to monetize anonymized network and behavioral data responsibly while providing a high-value service for millions of SME and enterprise customers. This Catalyst radically lowers the barrier to sophisticated marketing analytics and unlocks new telco revenue streams through AI monetization.