For CMOs and performance marketing teams, Lifesight is a unified marketing measurement platform that triangulates MMM, incrementality tests, and attribution, then lets AI agents execute budget optimizations across ad platforms.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Lifesight works to occupy the position of a unified measurement layer for CMOs and performance teams — triangulating marketing mix modeling, incrementality testing, and attribution in one platform, then pushing into agentic execution with AI agents that recommend and can push budget changes directly to ad platforms. It pitches itself against the gap between platform-reported metrics and actual incremental revenue, aimed at brands running measurement across many channels at once. Open conversation about the company centers on unified-measurement adoption and its expansion from analysis into automated optimization, discussed mostly within enterprise marketing-measurement circles rather than broad practitioner chatter — a footprint still early relative to its customer base across retail, DTC, and travel.
Influ2
Factors.ai
GRIN
Haus
MeasuredIKEA, KFC, Subway, New Balance, Ray-Ban, Dyson, Krispy Kreme, Bath & Body Works, Swarovski, Decathlon
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Business Profile
Lifesight was founded in Singapore in 2017 by Tobin Thomas and Rohit Maheswaran, building from marketing measurement tooling into a unified platform that combines marketing mix modeling, incrementality testing, and attribution. It has grown to serve more than 300 companies spanning retail, DTC and ecommerce, travel, and consumer services, and it holds SOC 2 Type II, GDPR, HIPAA, and ISO 27001 certifications. The company has continued expanding from measurement into agentic execution, and it appears in Forrester's Marketing Measurement and Optimization Platforms Landscape for Q3 2026.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Lifesight has built AI agents, branded MIA, into the full measurement loop: they unify and clean data, answer natural-language questions about causal drivers, recommend budget allocations with confidence intervals, and can push optimization decisions directly to ad platforms. The build-out points toward agents that close the loop from measurement to execution rather than just reporting. No public API, MCP, SDK, or CLI documentation is on file for outside integration.
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