NEW YORK — August 3, 2026 — Lifesight, the Agentic Unified Marketing Measurement Platform, today introduced the Marketing Context Graph (MCG), a governed, time-aware system designed to map how marketing channels causally influence one another while preserving a permanent, auditable record of every budget decision and its underlying evidence.
For the first time, marketing and finance teams can get instant, evidence-backed answers to why any budget decision was made, directly inside the platform they rely on for reporting, campaign recommendations, and forecasting.
The Marketing Context Graph solves two long-standing breakdowns in marketing measurement:
- Channels don’t operate in isolation: Upper-funnel awareness and TV campaigns directly lift branded search and lower retargeting costs. Standard measurement tools evaluate channels in silos, causing reported returns to fluctuate wildly quarter-to-quarter even when core business performance remains unchanged.
- Budget decisions lose their reasoning over time: Traditional systems record what ran and what it cost, but never why. When finance asks why paid search spend jumped 28% in a quarter, neither human teams nor AI agents can reconstruct the original context or recall which alternatives were rejected.
In controlled testing across 8,000 simulated budget decisions, Lifesight demonstrated significant performance advantages using the Marketing Context Graph:
- 100% Accuracy on Multi-Step Reasoning: While standard fact-recall systems scored just 25% on complex queries requiring context (such as policy compliance or why a specific budget alternative was rejected), the Marketing Context Graph, when tested, answered 100% correctly.
- Elimination of Historical Look-Ahead Bias: The graph’s time-aware memory prevents systems from hiding up to 44 percentage points of historical error caused by silently applying modern data to past periods.
- Smarter Cross-Region Scaling: Governed regional data transport proved 4 to 6 times more accurate than fresh, region-only estimates, automatically declining transfers when data was insufficient rather than guessing.
- True Interconnected Channel Mapping: By tracing indirect relationships between upper- and lower-funnel channels, the system maintains consistent accuracy even in highly complex media mixes.
“Most vendors give their AI agents a static dashboard to read,” said Anil Singh, Co-Founder & CTO of Lifesight. “We’re giving ours a causal engine to think with, built directly into the governed structure 300+ brands already rely on for measurement they can trust and explain.”
Resource Links:
- Research Paper: Read the full methodology, assumptions, and simulation results atlifesight.io/resources/marketing-context-graph.
- Deep Dive: Read the complete technical explainer on the Lifesight Blog.
About Lifesight
Lifesight is the Agentic Unified Marketing Measurement Platform, combining causal MMM, incrementality testing, and causal attribution in a single system driven by actionable AI agents. Trusted by over 300 global brands, including IKEA, Dyson, New Balance, KFC, and McDonald’s, Lifesight delivers a unified causal view of business growth in days, not months. Lifesight is enterprise-ready and certified in GDPR, HIPAA, SOC 2, and ISO standards.
