eliya AI — For Business Decisions
Budget Planning & Optimization

Know Where To Spend Your Next Euro

Turn your Marketing Mix Model into a predictive engine that determines how budget should be allocated across channels.

ELIYA empowers you tap into the magic of your Bayesian MMM engine to create data-backed budget plans. Within ELIYA’s Analytics Studio, the AI assistance simplifies scenario simulation while keeping you in charge of the campaign strategy. No auto-execution. Also, our data scientists are always available to support.

Definition

What is Budget Planning & Optimization?

Budget planning and optimization is the process of allocating marketing budget across channels based on each channel’s measured incremental return. ELIYA generates specific allocation recommendations directly from your Marketing Mix Model, easily simulates the outcome of different scenarios, and has a data scientist review the plan before it’s acted on.

Also known as: Media Planning, Marketing Optimization, Budget Allocation, Media Mix Optimization

The Problem

Why Most Budget Plans Are Guesses Dressed Up as Strategy

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Budgets get set once

Annual or quarterly planning cycles don’t adjust when a channel’s returns change mid-period, so budget keeps flowing to channels already past their saturation point.

How We Help

From Model Output to a Specific Plan, Fast

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Built directly on your MMM

Recommendations come from your MMM model’s actual saturation curves and channel-level returns, not a generic rule of thumb.

Our Process

From MMM Output to Budget Decision

Pull from your calibrated MMM model

Saturation curves and channel returns come from your MMM, calibrated further if incrementality test results are available.

Comparison

ELIYA Budget Planning & Optimization vs. Platform Auto-Optimization

DimensionELIYA Budget Planning & OptimizationPlatform Auto-Optimization (e.g. Advantage+, Performance Max)
ScopeFull cross-channel mix, on and offlineConfined to a single platform
Basis for decisionsCalibrated MMM output: measured incremental returnThe platform’s own signals, largely last-click or in-platform conversions
TransparencyFull visibility into saturation curves and model logicBlack box, reasoning not exposed
ControlHuman reviewed, you approve before budget movesFully automated, reallocates without your review
Update cadenceRun scenarios on demand as conditions changeContinuous, but confined to what the platform can see
By the Numbers

Under 10 minutes

to simulate and deploy an optimized budget scenario in Analytics Studio, compared to 10 or more business days for agency media mix planning.

Source: (ELIYA product benchmark)

3.2x

average ROI improvement for brands after reallocating budget based on ELIYA’s recommendations.

Source: (ELIYA client data)

Agentic AI, Grounded in Your Model

Constrained optimization built on your MMM’s saturation and adstock curves
Scenario simulation across budget levels, channel mixes, and constraints
Direct input from incrementality test results where available, for calibrated recommendations
Analytics Studio: a conversational interface for running and comparing scenarios
Every recommendation reviewed by a data scientist before it’s presented, with human approval required before activation
Constrained optimization built on your MMM’s saturation and adstock curves
Scenario simulation across budget levels, channel mixes, and constraints
Direct input from incrementality test results where available, for calibrated recommendations
Analytics Studio: a conversational interface for running and comparing scenarios
Every recommendation reviewed by a data scientist before it’s presented, with human approval required before activation

See Where Your Next Euro Should Go

Book a demo and we’ll walk through a live budget scenario using your own model, or one for a similar business.

FAQ

FAQ

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