Why Lifesight

Your Platforms Are Grading Their Own Homework.

Meta claims the sale. So does Google. So does your attribution tool. Add them up and they explain 140% of your revenue, a mathematical impossibility steering million-dollar budgets. Lifesight gives you a true, causally unified view of where your marketing budget is going.

The Problem

Every platform has an incentive to look indispensable.

Platforms exist to sell you more ads. Their measurement is not independent; they are self-interested ones. Platforms overreport their incremental impact by 20–50% on average. That bias isn’t an accident: the more credit a platform claims, the more budget flows its way.

The real cost is buried in your P&L.

On average, ~20-40% of ad spend is non-incremental: budget that would have converted anyway, now paying a platform for a customer you already had.

The platform ROAS you see, isn’t the ROAS you get.

Why We’re Different

Three Shifts That Change Every Budget Decision.

Causal, not correlational

Measure true incremental impact, not who grabbed the credit.

Lifesight uses causal data, not correlation. Every iROAS figure reflects the incremental return of that dollar – revenue that would not have happened without the spend. Not modeled credit. Not platform-reported attribution. Lifesight’s unified marketing measurement algorithm combines MMM, geo-lift incrementally testing, and causal attribution to cross-validate continuous testing so you’re never dependent on a single model’s assumptions.

Unified, not fragmented

One number. Not three tools telling three different stories.

Most teams run an MMM, a separate incrementality testing tool, and a last-click attribution platform. They produce conflicting answers. Teams spend weeks arguing about which model is right instead of acting on a decision. Lifesight’s agentic unified marketing measurement platform unifies all three into a single, calibrated view so marketing and finance share one source of truth. No more patchwork. No more gap between the model and the budget conversation.

Agents that act, not dashboards that wait

Every vendor gave their agents a dashboard to read. We gave ours a causal engine to think with.

Dashboard based measurement doesn’t surface the “why”. They surface decisions: budget reallocations with evidence, experiment designs with expected lift, and one-click optimization that pushes changes directly to your ad platforms. Ask in plain English. Get the analysis, the causal reasoning, and the action, not a pivot table to interpret.

The Decision Loop – Observe – Orient – Decide – Act

Orient Is The Step Everyone Gets Wrong.

Every marketing team runs a decision loop. The hardest step is Orient: turning raw data into an accurate model of the world. Lifesight fixes this step with three methodologies that check each other, so everything downstream stands on solid ground.

MMM

Drafts a board-ready 2-3 sentence summary of marketing performance – framed so you can take it straight into the room.

Geo Testing

Converts marketing performance into the language your CFO already uses. Margin contribution. Working capital impact. Payback.

Causal Attribution

Incrementally-adjusted attribution adds daily, campaign-level granularity, calibrated against the MMM and experiments, never self-reported by a platform.

Through-line: Orient to the truth, then make decisions faster than anyone else can. That’s the durable advantage.

HOW WE COMPARE

Lifesight vs. The Alternatives

Point tools give one answer. Platform dashboards give a biased one. Traditional MMM gives a slow one. Lifesight gives a unified, causal, continuous one with agents that act on it.

What You Need Lifesight Agentic UMM Platform Reported Traditional MMM Point Incr.
Causal, not correlational
Cross-channel + offline Partial
Insights in days, not months Weeks
Continuous, always-on
Campaign-level granularity Partial
Unified MMM + Incr. + Attribution
AI agents that act — not just report
Independent — no media bias
Privacy-first: GDPR, SOC 2, ISO Varies Varies

Proof, by Design

Better orientation pays for itself, measurably.

$4B

Media spend measured

9.8%

Avg. sales lift

3MIN

To first insight

“11.5% higher revenue on 11.7% lower spend. That’s what causal measurement actually looks like.”

testimonial 1 - Lifesight

Made for your role

Whatever Your Seat At The Table, Lifesight Has Answers You Can Act On.

CMO

Step into the board room able to prove what marketing drove and what’s next. The CFO is asking for marketing ROI on the same evidence standard as the rest of the P&L. Lifesight’s causal measurement gives you an answer that holds up to scrutiny.

  • One causal truth shared across marketing and finance

  • Board-ready proof of incremental revenue and sales lift

  • Continuous insight, not a quarterly consulting report

  • Secure, AI-driven optimization opportunities before the next planning cycle

CFO

Marketing spend, finally on the same evidence standard as every other line item. Lifesight’s causal measurement treats marketing like any other investment: specific, testable, and tied to incremental outcomes, not vanity metrics or self-reported platform data.

  • iROAS and iRevenue replace ROAS and modeled credit

  • Quantify the ~20-40% of spend often found non-incremental

  • Audit-grade methodology, independent of any platform

  • One model finance can validate, not three conflicting ones to reconcile

Stat Highlight

~20-40% of ad spend often identified as non-incremental

Head of Growth

Stop trusting platform ROAS. Reallocate on causal iROAS today, not next quarter. The channels with the highest reported ROAS are often the worst incremental performers. Lifesight’s agents show you where prospecting budget is actually working and help you move it in one click.

  • Campaign-level iROAS, not just channel-level

  • Ask Lifesight in plain English, get a decision and the evidence

  • One-click optimization pushes reallocations to your ad platforms

  • Daily, continuous insight, not a monthly optimization cycle

Stat Highlight

11.5% revenue increase at 11.7% lower ad spend

Marketing Scientist

A calibrated MMM + incrementality + attribution stack that you didn’t have to build. Lifesight’s methodology is built on causal inference, Bayesian calibration, and geo-lift experimentation. Three methodologies cross-validate each other.

  • MMM calibrated with geo-lift incrementality tests

  • Bayesian priors updating your model continuously, not quarterly

  • Incrementally-adjusted attribution at the log-level

  • Access via Lifesight MCP for integration with your own analysis stack

Built to be Trusted

Independent. Private. Enterprise-grade

No media-buying affiliation

We don’t sell media. We have no financial reason to flatter a channel’s performance. Lifesight exists solely to measure, which means our incentives are always aligned with yours.

Privacy-first by design

Lifesight is built on aggregated, modeled data with no user-level tracking. GDPR, HIPAA, SOC 2 Type II, and ISO certified. Measurement that works regardless of cookie deprecation or signal loss.

Enterprise rigor, team-operated simplicity

The same causal measurement platform that IKEA and Dyson trust, operated by your marketing team through Ask Lifesight with no data science degree required. Audit-grade outputs, accessible interface.

Ready to orient to the truth?

See The Gap Between What Your Platforms Report And What’s Actually Driving Growth.

We’ll show you on your own data. 30 minutes. No prep required.