Scenario Planning & Forecasting Platform

Q: How does the Scenario Planner use AMM response curves to build budget scenarios?

The Scenario Planner ingests marginal ROI curves and saturation parameters directly from your Agile MMM, no separate assumptions, no manual inputs. Every scenario relies on the same econometric evidence underlying the model. When your AMM is updated or calibrated by a Trust Engine experiment, the Scenario Planner inherits those refinements automatically in the next planning cycle.

Q: How does the Scenario Planner's output create alignment between Marketing and Finance?

Every scenario the Planner produces is auditable, traceable to a specific AMM input or named Trust Engine experiment with a published confidence interval. Constraints Finance set are encoded before any scenario runs, not applied as overrides after. The output isn't Marketing's recommendation. It's a shared operating contract that both teams built and can defend.

Before You Spend,
Compare the
Outcomes and
Guardrails

Stop Planning in a Vacuum.

Every budget scenario in LiftLab's Scenario Planner is built on econometrically modeled response curves, not assumptions, not platform averages, not last quarter's blended ROAS. The plan you commit to reflects how your channels actually behave at different spend levels, before a single dollar moves.

What the Scenario Planner Enables

Constraint-Aware Modeling

Lock in pre-committed spend, channel caps, and minimum brand thresholds, so every budget scenario the model returns is one your media buyers can actually execute.

Forecast Ranges & Trade-Offs

Generate Conserve, Maintain, or Accelerate scenarios, each forecasted as a range built on your AMM's response curves, not historical averages. The exact trade-off between short-term efficiency and long-term brand equity is quantified at every budget boundary before you commit.

Actionable Guardrails

Attach monitoring triggers directly to your chosen budget scenario, conversion rate floors, efficiency caps, and reported iROAS and iCAC signals, so your team knows exactly when a plan is drifting from target, before it breaks.

Future-State Media Pricing

Scenarios are built on projected ad prices, not today's CPMs. The Scenario Planner forecasts how media costs are likely to shift across your planning horizon and factors those projections into every budget recommendation. Override any projection to stress-test your plan against different market conditions, a Q4 auction spike, a competitive surge, a channel pullback, before a single dollar is committed.

Promotion-Aware Planning

Enter planned promotions, sales events, discount windows, and seasonal pushes for your scenario timeframe and see how your commercial calendar shifts the optimal media spend recommendation. Plan your media around your promotions, not separately from them.

How the Scenario Planner Works

AMM Feeds the Scenario Engine

The Scenario Planner ingests your AMM's response curves and marginal ROI signals directly, so every planning cycle is grounded in econometric evidence rather than assumptions built outside the model.

Define Goals & Constraints

Input your target KPI, commercial constraints, and forward-looking media price projections before any scenario runs. Override projections to stress-test different cost environments.

Build & Compare Scenarios

Generate, Conserve, Maintain, and Accelerate simultaneously, each with its own forecast range and mROAS trade-off visible at every allocation boundary, so the decision is made on evidence, not confidence.

Lock the Plan & Set Guardrails

Publish your chosen scenario with explicit guardrails, maximum reallocation percentages, and stop-loss thresholds to create a clear operating contract between Marketing and Finance.

Steer Weekly

Monitor performance against your triggers in real-time. When a signal fires, rerun the scenario instantly. No quarterly model refresh. No reactive budget scramble.

Book Your Personalized Scenario Planner Demo

The Output: Scenario Planner Dashboards

Run a Scenario

Forecast Ranges and Trade-offs

Setting up New Guardrails

Featured Story

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

Frequently Asked Questions

What is the LiftLab Scenario Planner, and how is it different from a standard planning tool?

The Scenario Planner turns your AMM's response curves into executable budget scenarios — with constraints encoded before any scenario runs. Most planning tools produce a single forecast built on historical averages. LiftLab produces three simultaneous scenario ranges grounded in how your channels actually behave at different spend levels. The output is a decision, not a projection.

What does constraint-aware scenario planning mean in practice?

Constraint-aware means the model only returns plans your team can actually execute. Before any scenario runs, you encode pre-committed spend, channel caps, and locked media contracts directly into the engine. The optimizer never recommends a reallocation that violates a real-world constraint. Efficiency metrics like iROAS and iCAC are reported at every budget boundary so Finance can see exactly what each scenario costs in real returns, and your team knows precisely when a plan is drifting from target. The plan that comes out is mathematically optimal and operationally executable simultaneously.

How does the Scenario Planner use AMM response curves to build budget scenarios?

How does the Scenario Planner handle mid-quarter market shifts without a full model rerun?

LiftLab separates stable AMM response curves from daily PlatformSense effectiveness signals. When a mid-quarter shift occurs, a CPM spike, algorithm change, or competitive move, the Scenario Planner reruns using updated PlatformSense signals applied to existing curves. Revised scenario ranges are ready within hours. No model rebuild. No waiting for a quarterly refresh. The plan adapts to the same-day conditions change.

Can the Scenario Planner account for planned promotions or seasonal events?

Yes. You can input planned promotions, sale periods, discount events, or seasonal pushes directly into the scenario timeframe. The Scenario Planner factors your commercial calendar into the optimization and shows you how each promotional window affects the recommended media allocation. The result is a plan where your media spend and your promotional calendar are built together, not reconciled after the fact.

Does the Scenario Planner use current ad prices or projected future prices?

How does the Scenario Planner's output create alignment between Marketing and Finance?

How does the Scenario Planner improve with each planning cycle?

Every incrementality test run through LiftLab's Trust Engine feeds back into your AMM's response curves as a calibration signal, tightening confidence intervals and refining saturation parameters. The Scenario Planner inherits these refinements automatically. Forecast ranges narrow. Reallocation recommendations sharpen. Each planning cycle compounds on the last, so the model gets more precise the longer you use it.

Turn Your Next Budget Scenario Into a Shared Decision

Go Deeper

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Combine fragmented channel budgets into a unified, constraint-aware plan that you can justify and execute with certainty.

Explore Marketing Budget Allocation

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Run constraint-aware budget scenarios to predict outcome ranges, set guardrails, and confidently align marketing with finance.

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Sushant Ajmani11 minMarch 2026

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MARKETING SCENARIO PLANNING PLATFORM

Constraint-Aware Capital Allocation, Built Into Your Model.

Before You Spend,
Compare the
Outcomes and
Guardrails