
The plan wasn’t wrong when you built it. The problem is that when conditions change, your budget forecasting tools have no mechanism to tell you when they stop being right. CPMs shift overnight. A competitor moves. A channel underperforms. And the plan you committed to in January is now a liability you’re executing anyway because nobody has a better number. That’s not a strategy failure. That’s a measurement system failure.

CPMs spike. Algorithms shift. A competitor drops pricing. Traditional budget forecasting methods treat these as noise to be averaged out, which means your team is executing a plan calibrated to conditions that no longer exist.

What is budget forecasting if it produces only one number? When that number misses, teams argue about whose assumption was wrong instead of learning what changed. The platform replaces single-number forecasts with scenario ranges, giving Marketing and Finance a shared language to replan without the blame cycle.

A model that tells you to cut brand spend to hit a short-term ROAS target doesn’t account for your locked-in TV upfront, your minimum platform thresholds, or your CFO’s CAC ceiling. Unconstrained optimization produces theoretically perfect plans that no one can execute. The scenario engine builds your constraints directly into every simulation. The plan that comes out is one your team can actually execute.
Net result: The plan becomes reactive, budgets get reworked under pressure, and stakeholders lose trust.
Built for the question your team actually asks mid-quarter, not just the one you asked in January.
Sound budget forecasting and planning begins before spending is locked. Run your budget assumptions through Agile MMM response curves. See how each allocation performs across a realistic range of market conditions, not just the baseline. Identify which assumptions your plan is most sensitive to, so you know exactly where it will break first.
Decisions between short-term efficiency and long-term brand equity should be based on financial analysis, not assumptions. The platform provides Conserve, Maintain, and Accelerate scenarios using your live response curves, enabling actionable scenario planning. You can view the mROAS delta for each reallocation before making any changes.
Publish your chosen scenario with explicit guardrails: CAC ceilings, conversion rate floors, and maximum reallocation percentages. When PlatformSense detects a channel drifting from its efficiency baseline, a trigger fires. Your team reruns the marketing scenario planning the same day. No model refresh required. No waiting until next quarter to understand what changed.
When conditions shift mid-quarter, updated daily effectiveness signals from PlatformSense are applied to your existing response curves, producing a revised, constraint-validated scenario within hours. The plan adapts. The constraints hold. The CFO doesn’t get a surprise.
Minimum to start
Nice to have
This is scenario-based marketing planning, end-to-end: