Lifesight
Lifesight is a marketing decision intelligence platform that unifies causal measurement (MMM, incrementality testing, calibrated attribution) with AI agents to produce actionable, auditable budget and experiment recommendations for marketing and finance teams.
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Lifesight
Lifesight combines Marketing Mix Modeling, geo-based incrementality testing, and incrementality-adjusted attribution into a single causal measurement engine to determine the true incremental value of marketing channels. The platform layers Marketing Intelligence Agents (MIA) on top of that causal foundation to design experiments, detect anomalies, translate measurement into CFO-ready language, and recommend budget reallocation or tests within guardrails you define. Lifesight is built for CMOs, performance teams, finance leaders, and agencies who need decisions they can defend — not just dashboards.
The platform also includes one-click optimization (Budget Optimizer) that reallocates spend based on incremental ROAS and can push changes to platforms like Google, Meta, Amazon, and TikTok, plus scenario planning and forecasting tools so teams can model outcomes before committing budget.
Lifesight is a marketing decision intelligence platform that unifies causal measurement (MMM, incrementality testing, calibrated attribution) with AI agents to produce actionable, auditable budget and experiment recommendations for marketing and finance teams.
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Unified Causal Measurement Engine
Combines causal MMM, incrementality testing, and calibrated attribution into a single engine so methods validate one another and produce a single causal truth about what drives revenue.
Marketing Intelligence Agents (MIA)
AI agents built on the causal engine that reason across measurement layers to recommend actions, design experiments, detect anomalies, generate CFO-ready reports, and monitor creative performance within user-defined guardrails.
Budget Optimizer
Automatic budget reallocation driven by incremental ROAS (iROAS) rather than platform-reported metrics, with the ability to push changes directly to ad platforms.
Scenario Planner & Forecasting
Model budget scenarios (best case, base case, worst case) with confidence intervals to forecast profit and growth before committing spend.
Experiment Designer
Automated design of incrementality tests (e.g., geo-lift tests) that validate model recommendations prior to full-scale reallocations.
Anomaly Hunter
Continuous monitoring that detects data or performance anomalies across channels and campaigns.
CFO Bridge & Board-ready Reporting
Auto-generated, auditable P&L language reporting showing incremental revenue, payback periods, and profit contribution for finance sign-off.
Integrations & Data Ingestion
Native connectors to major ad platforms, commerce and data sources with a native data warehouse and support for 50+ integrations to unify signals for measurement.
Creative Intelligence
Monitoring and analysis for creative performance so teams can identify what creative assets drive incremental outcomes.
Pricing
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Use Cases
Improve Profitability
Identify and invest in channels and tactics that generate true incremental profit and reduce spend on non-incremental activity.
Forecast Growth
Model the impact of budget shifts across channels with confidence intervals to plan for periods like Q4 with data-driven scenarios.
Maximize Media Efficiency
Optimize spend using incremental ROAS to ensure budgets are allocated where they deliver the most incremental return.
Acquire New Customers
Measure and validate the incremental acquisition impact of channels and campaigns to scale customer acquisition more efficiently.
Align Marketing & Finance
Provide auditable, CFO-language reporting on incremental revenue and profit contribution so marketing and finance share a single causal truth.
Validate Channel Shifts with Experiments
Design and run geo-lift tests or other incrementality experiments to confirm model-driven recommendations before committing full budgets.
Integrations
Connects advertising data for unified measurement and can receive budget optimizer activations.
Meta
Ingests Meta performance data, supports causal measurement, and accepts optimizer-driven budget changes.
Amazon
Supports Amazon ad data ingestion and measurement to attribute incremental retail outcomes.
TikTok
Connects TikTok ad data for inclusion in unified causal models and optimizer actions.
Shopify
Commerce connector to map ad-driven activity to sales and revenue in the measurement engine.
The Trade Desk
CTV and programmatic connector to include connected TV and programmatic spend in causal measurement.
Native Data Warehouse
Built-in data warehouse for unified ingestion, storage, and modeling of cross-channel signals.
Benefits
Limitations
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Frequently Asked Questions
What makes Lifesight different from traditional MMM or attribution tools?
Do we need a data scientist to use Lifesight?
How long does it take to get started?
What does causal measurement mean?
Is our data secure?
Getting Started
- 1 Step 1: Book a demo or contact Lifesight to discuss your goals and required integrations.
- 2 Step 2: Connect your data sources and ad platforms (Lifesight supports 50+ integrations and a native data warehouse).
- 3 Step 3: Configure business rules/guardrails, review initial causal insights from MIA, and enable optimization or run recommended experiments.
Support
Demo
Book a demo through the Lifesight website to see the platform and discuss onboarding.
Documentation
Product docs and methodology guides available on Lifesight's website for self-serve learning and support.
Product Updates
Read about feature launches and what's new via the Product Updates section on the site.
Training / Academy
Lifesight Academy offers training and certification to become a marketing measurement expert.
API
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