
High ROAS and stalled growth are not a contradiction; they're a symptom of the same measurement failure. Your tools are answering the wrong question.
Your Dashboards Show Green. Your Growth Has Stalled. Here's Why
High ROAS and stalled growth are not a contradiction; they're a symptom of the same measurement failure. Your tools are answering the wrong question.
A channel may report a high average ROAS, even if your most recent $50K investment produces little incremental revenue. Effective ROAS optimization requires understanding marginal returns. Otherwise, you are funding saturation rather than driving growth.
Each ad platform attributes the entire conversion to itself. Without an independent model, effective ad spend optimization is not possible. This often results in budgets that are two to three times higher on underperforming channels.
A CPM spike looks like performance decline. A competitor pausing spend looks like a lift. Without separating marketplace costs from consumer behavior, you're chasing noise.
By the time a traditional model flags a saturation issue or a creative fatigue signal, you've already burned through two more weeks of budget going in the wrong direction.
PlatformSense flags the signal the same day it shifts.
The Agile MMM is a two-stage model with daily platform signals layered on top, delivering tactical speed and econometric accuracy simultaneously.




Purpose-built performance marketing solutions for teams that need marketing performance optimization—tactical signals and strategic rigor, in the same platform.
Every channel team has a number. No one can explain how they add up. The platform unifies fragmented budgets into a single, constraint-aware marketing budget optimization 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. See exactly where, before CAC spikes.
Find My Saturation Point →
A lift number that doesn’t update your model didn’t finish the job. The closed loop between causal proof and your next budget decision is what separates real performance measurement from a one-time lift report.
See the Closed Loop →
“What happens if we cut 15%?” Get a model-grounded answer with outcome ranges your CFO can approve, before a dollar moves.
Stress-Test My Plan →
Markets shift mid-campaign. 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 currently reports a 0.9x ROAS for brand, while the actual figure is 2.1x. Short-term brand signals are linked to long-term equity, using multipliers informed by decades of brand research. This approach integrates the case for allocating budget to top-of-funnel activities directly into the model, eliminating the need for post-hoc justification.
Make Every Brand Dollar Visible →
Determine the precise spend level at which marginal returns fall below the threshold. Optimize channel spend weekly to prevent CAC increases.
Find My Spend CeilingConduct geo holdouts on proposed reallocation moves before making final decisions. Optimize spend based on causal evidence rather than intuition.
See How Geo Holdouts WorkKnow instantly whether a performance dip is a consumer demand problem or an auction cost problem, and respond to the right one.
See How PlatformSense WorksPrioritize which channels to test next based on MMM confidence intervals, so every experiment tightens the model and sharpens the next allocation.
See the Trust Engine LoopPresent mROAS curves, holdout results, and marketing budget optimization scenarios in CMO and CFO reviews. These ROAS optimization solutions align with Finance’s requirements, rather than relying on platform screenshots or blended ROAS figures.
Build My Budget Case
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
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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
The features performance teams need to act daily — not just report quarterly.
| Capability | LiftLab | Recast | Measured | Haus |
|---|---|---|---|---|
| Daily ad-platform signal detection (PlatformSense) | Partial* | |||
| Auction dynamics separated from consumer response | Partial | |||
| mROAS & saturation curves by channel/tactic | Partial | Partial | ||
| Geo holdout + switchback test integration | Partial+ | |||
| MMM calibrated by incrementality test results | ||||
| Creative fatigue detection signals (Modeled) | ||||
| Constraint-aware scenario planning | Partial | Partial | Partial | |
| Weekly optimization cadence | Partial |
* Haus offers day-to-day Causal Attribution reporting. This differs architecturally from LiftLab’s model-integrated daily modifier layer.
+ Recast’s GeoLift is a separate product (launched Sep 2025) priced independently. Results do not automatically feed into MMM budget recommendations.
Partial = capability exists but differs in methodology, integration depth, or market validation. All ratings based on publicly available product documentation.