
Ad Platform-reported ROAS is inflated. Last-click attribution misfires. Brand spend goes undefended. And the CFO wants answers by Friday.
You're Asked to Prove More With Less, But Your Tools Are Lying to You
Ad Platform-reported ROAS is inflated. Last-click attribution misfires. Brand spend goes undefended. And the CFO wants answers by Friday.
Every platform claims credit for the same conversion. Without an independent model, you're optimizing on fiction, often 2–3× overstated.
Finance cuts brand spend because equity buildup is invisible. Without causal measurement, brand is treated as a cost rather than a compounding asset.
Traditional modeling has a 12-week lag. By the time insights arrive, the campaign is over, the budget is spent, and the opportunity has passed.
Without econometric rigor and causal proof, you can't walk into a budget review confident that your reallocation story will survive a CFO's scrutiny.
LiftLab runs a four-stage operating system: ingest, model, experiment, and plan, every week, not every quarter.




Purpose-built features that translate marketing science into executive confidence.
Every channel team has a number. No one can explain how they add up. LiftLab unifies fragmented budgets into a single, constraint-aware plan, so every dollar is justifiable before it's committed and defensible after it's spent.
See How It Works →
Your top channel looks efficient. You crossed the saturation point weeks ago. LiftLab shows you exactly where, before CAC spikes.
Find My Saturation Point →
A lift number that doesn't update your model didn't finish the job. LiftLab closes the loop between causal proof and your next budget decision.
See the Closed Loop →
"What happens if we cut 15%?" LiftLab gives you a model-grounded answer with outcome ranges your CFO can approve, before a dollar moves.
Stress-Test My Plan →
Markets shift mid-campaign. LiftLab's PlatformSense detects efficiency changes daily and tells you exactly where to move spend before the window closes.
See How to Act Before the Window Closes →
Your MMM shows 0.9x ROAS on brand. The real number is 2.1x. LiftLab quantifies halo lift, ad-stock carryover, and long-term equity, so every brand dollar is visible on the P&L.
Make Every Brand Dollar Visible →

Unlocking Global Jewelry Growth with mROAS
Pandora paired agile MMM with geo tests to shift just 2% of the budget, driving +9.5% revenue and +12.4% profit across key channels.
"LiftLab's platform has been instrumental in helping us bridge the gap between long-term strategic goals and the need for frequent and short-term optimization."

Kasper Madsen,
Global Paid Media Analytics Manager, Pandora
See the Results for Yourself

Forecast-Led Planning Delivers 19% Revenue Lift
Facing an aggressive year-end target, Quicken used LiftLab forecasting, geo tests, and scenario modeling to win more budget and drive +19% gross revenue.
“Liftlab’s solution gave us the confidence to make significant changes to our media mix. Our business results proved we made the right choice.”

Stephanie Pierce,
Quicken, Director of Growth Marketing
See the Results for Yourself

Scaling Channel Mix While Protecting Profit
Cinemark used LiftLab mROAS curves to see last-dollar impact, expand from 7 to 13 channels, and reallocate weekly to maximize ROI.
"LiftLab was the only vendor that offered a single comprehensive view of performance alongside a means to estimate the marginal profitability of our last dollar spent."

Jeff Rosenfeld,
SVP of Digital and Customer Experience, Cinemark
See the Results for Yourself
How LiftLab stacks up across the dimensions CMOs and their CFOs actually scrutinize.
| Capability | LiftLab | Recast | Measured | Haus |
|---|---|---|---|---|
| Full-funnel brand + performance MMM | Partial | Partial | Partial | |
| Daily ad-platform signal detection | Partial* | |||
| Incremental test calibration | ||||
| Diminishing returns & marginal ROI curves | Partial | Partial | ||
| Brand equity on P&L quantification | ||||
| Constraint-aware scenario planning | Partial | Partial | Partial | |
| CFO-ready boardroom reporting | Partial | |||
| Weekly optimization cadence (not quarterly) | Partial* |
*Haus offers day-to-day Causal Attribution reporting and Recast offers weekly model refresh — neither integrates daily signals into a stable long-run model layer.
Partial reflects capability exists but differs architecturally from LiftLab's approach. Verified against competitor websites April 2026.