Lifesight | Agentic Unified Marketing Measurement (original) (raw)
Platform
Measure full-funnel incrementality
Forecast profit & growth before spending
Optimize spend to deliver incremental profit
Align marketing & finance on a single causal truth
AI agents built for smarter marketing decisions
Unified Measurement Spotlight
Resources
Latest insights from our team & industry experts
Latest guides, ebooks & reports for your success
Our webinars, podcasts & upcoming events
Success stories of businesses using Lifesight
Become a certified marketing measurement expert
Stay updated with marketing trends & insights
Read about our features launches & check our what’s new within our platform
Learn how to use our platform, our methodologies & get support from our experts
Built to fix broken marketing measurement
The minds powering marketing intelligence
Join us to shape the future of marketing
Security and compliance you can trust
Lifesight | Agentic Unified Marketing MeasurementLifesight Editorial2026-06-16T03:08:58+00:00
Stop Guessing Which Ads Work. Measure True Marketing ROI.
Don’t trust correlation. Lifesight’s unified measurement engine gives you the exact incremental value of every channel, so you can forecast and grow profitably.
The Leader in Unified Marketing Measurement
Make Smarter Marketing Decisions
Measure
Know what’s actually driving revenue
Lifesight combines Marketing Mix Modeling, incrementality testing, and causal attribution. Three methodologies that work together to deliver answers grounded in causation, not correlation.
“Finally, one number we all agree on.”
Optimize
Act on insights with one click
Budget Optimizer reallocates spend across channels based on incremental ROAS, not platform-reported ROAS. Then pushes changes directly to Google, Meta, Amazon, and TikTok.
“Budget reallocation went from a monthly project to a daily habit.”
Decide
Let AI agents handle the execution
MIA – specialized agents built on the causal engine. They design experiments, detect anomalies, translate measurement into CFO language, and monitor creative performance. All within guardrails you define.
“It’s like having a measurement team that never sleeps.”
Forecast
See the future before you commit the budget
Model budget scenarios against your live causal model. What happens if you shift 20% from search to CTV? Best case, base case, worst case – with confidence intervals. Walk into budget season with answers, not opinions.
“We stopped guessing about Q4 on day one.”
How it Works
One decision loop. Run it faster than the competition.
Every step powered by unified measurement, with agents doing the work. The faster you run the loop, the more you win.
OBSERVE
See everything
Every channel, online and offline, unified into one honest view.
Agents unity & clean your data
Orient
Know what’s true
Unified measurement – MMM, incrementality & attribution – corrects the biased picture.
The Hard Part, Done Right
Decide
Choose the best move
Ask in plain English, agents recommend, backed by evidence and confidence.
Ask Lifesight + agents
Act
Make it happen
Push to platforms in one click or let agents execute within your guardrails
Agents act for you
Learn
Get sharper every cycle
Every test calibrates the model, so the next decision is better than the last.
Triangulation calibrates
Agentic Marketing Decisioning
One question for your marketing. Multiple layers of intelligence.
Every marketing question hides deeper questions. MIA agents don’t just query a dashboard – they reason across your entire measurement stack to deliver answers you can trust.
Should I increase Meta spend next quarter?
Question it raises
Intelligence layer
Answer it resolves
What’s Meta actually driving?
Platform-reported vs. causal impact?
Causal MMM shows 38% of Meta conversions are incremental – the rest would have happened organically
How should we define “increase”?
Absolute spend, or efficiency-adjusted?
Your business rules cap channel spend increases at 20% per quarter unless iROAS exceeds 2.8x
Are we hitting diminishing returns?
Where on the saturation curve?
Meta prospecting is at 74% saturation – YouTube is at 45% with stronger marginal returns
Where should the budget go instead?
Cross-channel reallocation impact?
Shifting $40K from Meta to YouTube projects +$125K incremental revenue at 88% confidence
Can we prove this before committing?
What test design validates the model?
Designed a 3 – week geo-lift test across 5 DMAs to validate before full reallocation
MIA’s recommendation
Don’t increase Meta – it’s near saturation. Run a 3-week geo-lift test shifting 40KtoYouTube.∗∗Ifvalidated,project∗∗+40K to YouTube. If validated, project +40KtoYouTube.∗∗Ifvalidated,project∗∗+125K incremental revenue/quarter at 3.1x iROAS.
88%
Meet MIA
Every vendor gave their agents a dashboard to read. We gave ours a causal engine to think with.
Our Marketing Intelligence Agents go beyond summarizing dashboards. They reason from a unified causal foundation, where MMM, incrementality tests, and attribution work together to drive decisions you can defend in the boardroom.
Proven results that speak for themselves
Seidensticker achieves 11.5% higher revenue with 11.7% lower ad spend
How Obvi Proved CTV Drove Walmart Sales
95%
Confidence in data accuracy
Built for teams that need decisions, not dashboards
For CMOs
“What’s working?” answered with causal proof, not opinions. Unified view across all channels. Forecast-driven planning. Board-ready reporting auto-generated by MIA.
For Performance Teams
Optimize budgets based on what’s actually incremental. Campaign-level causal insights. 1-click optimization to your ad platforms. Anomaly detection that catches what you’d miss.
For Finance Leaders
Marketing numbers you can sign off on. Incremental revenue. Payback periods. Profit contribution. All in P&L language. Auto-generated. Auditable.
For Agencies
One methodology across your entire client portfolio. Standardized measurement. Multi-client platform. Prove agency value with causal evidence, not platform reports.
Frequently Asked Questions
Unlike traditional attribution tools that rely on single-touch or multi-touch models, Lifesight uses a unified measurement framework that triangulates insights from MMM, experimentation, and causal attribution. This helps eliminate bias from platform-reported metrics and provides a more accurate view of marketing effectiveness.
Lifesight improves ROI by identifying which marketing channels and campaigns create real incremental revenue. Instead of relying on surface-level metrics like ROAS, it measures causal impact so marketers can reallocate budgets to high-performing channels and reduce wasted spend.
No. Lifesight is designed for marketing teams, not data scientists. The platform uses AI-powered insights and automation to translate complex measurement data into simple, actionable recommendations without requiring technical expertise.
Most companies can start generating actionable insights within a few days to weeks after integrating their marketing and conversion data. The setup process is designed to be fast, no-code, and scalable for both small and enterprise teams.
Lifesight follows enterprise-grade security practices with compliance standards such as GDPR & CCPA/CPRA, SOC 2 Type II, HIPAA and ISO 27001. Data is encrypted in transit and at rest, ensuring privacy and security.