Lifesight

Lifesight is a comprehensive marketing measurement and optimization platform designed to unify disparate data sources and attribution methodologies. Its core value proposition lies in empowering businesses to accurately quantify the true impact of their marketing spend across all channels, thereby maximizing return on investment and enabling data-driven budget allocation. By integrating Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Incrementality Testing into a single suite, it provides a holistic view of marketing performance that overcomes the limitations of any single method.

Key features: The platform offers unified measurement that correlates top-down MMM with bottom-up MTA data for a complete picture. It provides advanced incrementality testing through geo-based experiments (geotesting) and synthetic control methods to measure the true causal lift of campaigns. Users benefit from AI-driven forecasting models that predict outcomes and recommend optimal budget splits. The system includes robust data visualization dashboards for cross-channel attribution, allowing marketers to see the contribution of each touchpoint, from social media ads to TV spend, in the customer journey.

What sets Lifesight apart is its technical approach to causal attribution, moving beyond correlation to establish definitive cause-and-effect relationships for marketing activities. It uniquely harmonizes traditionally siloed methodologies (MMM and MTA) within one platform, reducing model conflict. The platform supports deep integrations with major ad platforms (Google, Meta, TikTok), CRM systems, and data warehouses, enabling seamless data ingestion. Its architecture is built for scalability, handling large, complex datasets to provide insights for both brand and performance marketing at an enterprise level.

Ideal for data-driven marketing teams, growth managers, and marketing executives in mid-to-large sized companies, particularly in e-commerce, retail, fintech, and direct-to-consumer brands. Specific use cases include optimizing national TV and digital media mixes, proving the incremental value of new channels like connected TV, resolving internal debates between brand and performance spend, and justifying marketing budgets to the CFO with credible, unified measurement.

Pricing follows a freemium model with a free tier offering basic features and limited data volume. Paid enterprise plans are customized based on data volume, number of channels measured, and required features, typically starting from approximately $1,000 per month for core capabilities and scaling significantly for full-suite deployment with advanced modeling and dedicated support.