Read the latest blog from Lifesight
Published on: July 31, 2026
The Marketing Incrementality Gap: What BCG’s Research Reveals
BCG research reveals 20% to 40% of marketing programs deliver no real lift. Calculate your true measurement gap today.
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Published on: July 30, 2026
Introducing Horizon: Lifesight’s Open-Source Marketing Forecasting Engine
Lifesight introduces Horizon, an open-source forecasting engine that enables teams to inspect, test, and improve the models behind marketing predictions and budget decisions.
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Published on: July 28, 2026
10 Best Marketing Analytics Software Platforms in 2026
Find the best marketing analytics software for your business in 2026. Compare 10 leading platforms for unified measurement, attribution, AI insights, customer analytics, and budget optimization.
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Published on: July 28, 2026
9 Best Measured Alternatives for Marketing Measurement in 2026
Evaluating Measured? Explore 9 leading measured alternatives that help brands measure marketing impact, optimize spend, and make better growth decisions.
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Published on: July 22, 2026
What Is a Marketing Context Graph? A Full Guide
A Simple Guide to Causal Measurement and Auditable Budget Decisions
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Published on: July 16, 2026
How Marketing Measurement Is Changing with Prof. Koen Pauwels
Platform ROAS isn't enough. Learn how MMM, incrementality, and AI are changing measurement.
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Published on: June 25, 2026
MMM vs. Attribution: The 2026 Decision Checklist
When platform ROAS stops matching real revenue, it’s time to rethink attribution and use MMM to uncover what truly drives incremental growth.
Published on: June 24, 2026
The Next Challenge in Measurement Isn’t Better Models. It’s Better Standards.
Shared standards can turn fragmented measurement into confident decision-making across the marketing ecosystem.
Published on: June 15, 2026
Why MTA Is Broken – And Why Unified Measurement Is the Only Way Forward
MTA can show what happened before a conversion, but not what actually caused it. Learn why modern marketers are moving toward causal measurement, incrementality, and unified measurement.
