Before You Spend,
Compare the
Outcomes and
Guardrails

Stop Planning in a Vacuum.

Platform metrics can over-credit channels that capture demand. Incrementality testing isolates causal lift, so you can scale what truly drives growth and stop funding what doesn’t. LiftLab helps you choose feasible experiment designs, interpret lift with ranges, and apply learnings back into planning. After all, your experiments are the “Truth Serum” for the Marketing Mix Models.

What Planning Studio enables

Constraint-Aware Modeling

Constraint-Aware Modeling

Build plans that respect your actual business limits. Lock in pre-committed spend, set channel caps, and define minimum thresholds so your "optimal" plan is actually executable.

Forecast Ranges & Trade-Offs

Forecast Ranges & Trade-Offs

Move away from single-number predictions that create false precision. Generate Conserve, Maintain, or Accelerate scenarios to visualize the exact trade-offs between short-term efficiency and long-term growth.

Actionable Guardrails

Actionable Guardrails

Publish your chosen plan with explicit monitoring triggers (like CAC spikes or conversion rate drops) so your team knows exactly when to pause and re-plan mid-quarter.

How Planning Studio Works

Define Goals & Constraints

Input your target KPI (revenue, profit, or customer acquisition) alongside strict commercial constraints.

Define Goals & Constraints

Build Scenarios

Compare different budget allocations and forecast their outcomes as dynamic ranges.

Build Scenarios

Lock the Plan

Choose the optimal path and publish clear guardrails (max move percentages and stop-loss thresholds).

Lock the Plan

Steer Weekly

Monitor real-time performance against your triggers and re-plan instantly when platform volatility hits.

Steer Weekly

The Output: Running
Scenarios + Setting up Guardrails

  • Run a Scenario

    Run a Scenario

  • Forecast Ranges and Trade-offs

    Forecast Ranges and Trade-offs

  • Setting up New Guardrails

    Setting up New Guardrails

Frequently Asked Questions

Single numbers encourage false precision. Ranges explicitly show uncertainty and risk, allowing CMOs and CFOs to approve plans with their eyes open and make clear trade-offs when market conditions change.