An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Lifesight

About Lifesight
Lifesight is an agentic unified marketing measurement platform designed to deliver incremental insights and drive profitable growth. The platform combines causal marketing mix modeling (MMM), incrementality testing, causal attribution, and geo-based testing to provide a holistic view of marketing performance across channels. By leveraging AI agents, Lifesight automates data unification, analysis, and decision-making, enabling marketers to ask questions in plain language and receive evidence-backed recommendations with confidence intervals. The system supports end-to-end workflows from observation and orientation to decision-making and action, allowing users to forecast growth, optimize spend, and validate strategies before full implementation. It is built to adapt to privacy-first environments and reduce reliance on biased platform reporting by triangulating results across multiple methodologies. Lifesight serves businesses seeking to align marketing and finance teams, improve media efficiency, and maximize return on ad spend through data-driven decision-making. The platform is tailored for industries such as retail, CPG, DTC ecommerce, consumer services, travel, wellness, and food and beverage, catering to roles including CMOs, VPs of growth, CFOs, and data analysts.
Lifesight
United States, Singapore · Founded 2017
- Founded
- 2017
- Headquarters
- United States, Singapore
Key features
- Multi-Touch Attribution for cross-channel performance analysis
- Marketing Mix Modeling to evaluate channel contributions
- Incrementality Testing to measure campaign impact
- Causal AI for identifying cause-and-effect relationships
- Privacy-first analytics to adapt to cookie restrictions
- Budget allocation recommendations based on performance data
- Campaign optimization insights for improved efficiency
- ROAS forecasting and maximization tools
- Unified dashboard for centralized marketing analytics
Use cases
- Optimizing marketing spend across digital and offline channels
- Evaluating the true impact of individual campaigns
- Forecasting marketing outcomes to guide strategic decisions
Pros
- Unifies multiple measurement methodologies (MMM, incrementality, attribution) in a single platform
- Provides agentic automation for data processing, analysis, and execution
- Supports both online and offline channel integration
- Delivers confidence intervals and evidence-backed recommendations
- Enables rapid iteration from question to action with AI-driven workflows
Cons
- May require initial setup and data integration effort
- Complexity of unified measurement could pose a learning curve for new users
- Dependent on the quality and completeness of input data
Frequently asked questions about Lifesight
What is Lifesight and what does it do?
Lifesight is an agentic unified marketing measurement platform that combines causal marketing mix modeling, incrementality testing, and attribution to provide a comprehensive view of marketing performance across channels. It automates data analysis and decision-making to help marketers optimize spend and forecast growth.
Who is Lifesight designed for?
The platform is designed for marketing and finance teams, including CMOs, VPs of growth, CFOs, and data analysts, particularly in industries like retail, CPG, DTC ecommerce, and consumer services.
How does Lifesight handle data from multiple channels?
Lifesight unifies data from both online and offline channels into a single, honest view, using AI agents to clean, integrate, and analyze the data across methodologies like MMM, incrementality, and attribution.
Can Lifesight help with budget allocation decisions?
Yes, Lifesight provides evidence-backed recommendations for budget allocation, including reallocation strategies, spend optimization, and forecasting incremental revenue based on causal models rather than platform estimates.
Does Lifesight support testing and validation of marketing strategies?
Yes, the platform includes incrementality testing and geo-based testing capabilities to validate marketing impact and model accuracy before committing to large-scale changes.
How does Lifesight ensure the accuracy of its recommendations?
Lifesight uses triangulation across multiple measurement methodologies and continuously calibrates its models through testing, ensuring recommendations are backed by confidence intervals and evidence.
Lifesight Website Engagement
Last Update: 9 days ago
Monthly Traffic
Traffic Sources
Traffic Share By Country
- United States15%
- India11.5%
- Vietnam5.5%
- Pakistan4.9%
- Indonesia4.6%