MAKING THE CASE FOR BUDGET: SIX FOUNDATIONS THAT CONNECT MARKETING INVESTMENT TO BUSINESS OUTCOMES

The Context

As organizations begin planning their 2027 budgets, the question is no longer whether measurement matters. Most large advertisers already invest in marketing mix modelling (MMM), attribution systems, experimentation, dashboards, and analytics teams.

The real question is whether these systems produce information that is trusted enough to influence major investment decisions.

In many organizations, the answer remains no.

Despite significant advances in analytics, marketing budgets are often shaped by negotiation, precedent, and risk tolerance rather than evidence. Finance teams may review marketing performance reports but remain sceptical about whether the numbers are reliable enough to support decisions involving tens or hundreds of millions of dollars.

This credibility gap has real consequences. Organizations may underinvest in growth opportunities, overinvest in familiar activities, and struggle to demonstrate marketing's true contribution to business performance.

The challenge, therefore, is not simply building better models. It is building measurement systems that are capable of supporting better business decisions.

Six foundations can help make that shift.

Six Foundations For Marketing Effectiveness

1. Align To Business Outcomes

The first question is deceptively simple:

What decision is the measurement system intended to support?

Many marketing models are built around media metrics because data such as impressions, clicks, and leads is readily available. Yet CEOs and CFOs make decisions based on revenue growth, profitability, cash flow, customer acquisition economics, and enterprise value.

Measurement should therefore begin with business outcomes rather than marketing inputs.

A model that accurately predicts impressions, clicks, or leads may still fail to answer the questions executives actually care about:

• Should we increase investment?
• How much growth is available?
• What return can we expect?
• What level of risk accompanies that return?

When measurement is designed around business decisions, its relevance and influence increase significantly.

2. Measure The Full System

Marketing and advertising do not operate in isolation.

Sales can be influenced by pricing, distribution, economic conditions, competitive activity, product innovation, seasonality, customer retention, and many other factors.

Yet measurement systems often focus narrowly on media performance, which can create misleading conclusions.

For example, a campaign may appear highly effective when measured against sales alone, while broader analysis may reveal that economic recovery or distribution expansion accounted for a significant portion of the observed growth.

Holistic measurement seeks to explain the major sources of business variation rather than only marketing activity.

This creates a more realistic understanding of marketing's contribution while reducing the risk of overestimating or underestimating its impact.

3. Demand High Predictive Standards

A measurement system does not need to be perfect.

It does need to be reliable.

Many marketing recommendations struggle to gain executive support because uncertainty is rarely quantified. Insights are often presented as directional conclusions rather than probabilistic forecasts.

Strong measurement systems should therefore demonstrate a high standard of predictive accuracy:

• Do the models explain a high proportion of variation over the period in which they were developed?
• Can they accurately predict holdout periods?
• Can they accurately predict future periods?

Finance teams routinely evaluate investments using expected returns and risk ranges. Marketing should be no different.

Effective measurement systems provide forecasts together with confidence intervals. For example, an investment recommendation might project an 80% return with an expected range of ±10%.

This allows decision-makers to evaluate marketing opportunities using principles similar to those applied to capital projects, acquisitions, or product investments.

The result is not simply better analytics, but greater organizational confidence.

4. Prioritize Actionability

Many measurement systems are descriptive.

Few are truly prescriptive.

A common failure occurs when organizations build sophisticated models that explain the past but provide little guidance for future decisions.

The purpose of measurement should not be understanding alone. It should be improving outcomes.

The most valuable systems answer practical questions:

• How much should we spend?
• Where should we spend it?
• Which audiences should receive greater investment?
• Which activities should be reduced?
• What impact can we expect from those decisions?

Actionability transforms measurement from a reporting function into a management function.

5. Require Independent Verification

A model that performs well on historical data is not necessarily reliable.

Strong measurement systems therefore require multiple forms of validation, including holdout testing, out-of-sample forecasting, experimentation, and ongoing performance monitoring.

The objective is not simply to demonstrate that a model can explain what happened.

The objective is to demonstrate that it can predict what will happen.

This distinction becomes particularly important during budgeting cycles. Future investment decisions depend on future performance, not simply historical model fit.

Reliability testing provides evidence that forecasts can be trusted beyond the period used to build the model.

6. Judge By Business Leverage

Ultimately, measurement exists to help lift the business.

When organizations must choose between different measurement approaches, the stronger model is not necessarily the one with the most sophisticated methodology. It is the one that can identify greater incremental business lift while operating within acceptable levels of risk.

This means evaluating models based on the value they can unlock through calibration, planning, simulation, and optimization.

The goal is to move beyond asking whether a model explains the past and instead ask:

How much additional business value can this model help us identify and capture?

Measurement Is Also A Governance Discipline

Measurement is not merely a technical discipline. It is also a governance discipline.

The most successful organizations create shared ownership of measurement across marketing, finance, analytics, and executive leadership.

This begins with agreeing on common definitions:

• What constitutes incremental revenue?
• How is return on investment calculated?
• What assumptions are acceptable?
• How should uncertainty be reported?

Establishing these standards before results are generated helps prevent disputes after results are presented.

Finance teams play an important role in this process. Their involvement helps ensure that measurement frameworks align with broader financial planning, capital allocation, and reporting practices.

It also increases confidence that marketing recommendations will be evaluated using standards consistent with those applied to other business investments.

Succeeding In The Budget Discussion

Consider how these principles could influence a 2027 budget discussion.

An investment committee is reviewing several opportunities for the coming fiscal year. The company generated just over $1.2 billion in sales the previous year and is looking to grow both its top and bottom lines.

One proposal requests $85 million in investment.

The projected ROI is 89%, with an expected range of ±8%, realized within the fiscal year. Risk is modelled as low.

Compared with the other investment opportunities under consideration, the proposal offers a higher projected ROI, a faster time to realize that return, and significantly lower risk.

The investment?

Advertising.

The proposal combines above- and below-the-line media, with targeting and media mix optimized through a multi-period optimization algorithm. Its expected business impact has been quantified using the Six Foundations approach.

This illustrates the fundamental shift that effective measurement can create.

When marketing is measured using the same principles applied to other investments, it becomes easier to evaluate not only its performance, but also its potential as a source of profitable growth.

Moving From Measurement To Investment

For many companies, the greatest opportunity may not lie in adopting another analytics tool or modelling methodology.

Instead, it may lie in improving the foundations upon which their measurement systems are built.

When measurement:

• aligns with business objectives,
• achieves sufficient predictive accuracy,
• provides actionable guidance,
• demonstrates reliability,
• accounts for the broader business system, and
• operates within a robust governance framework,

marketing can begin to be evaluated less as a discretionary expense and more as an investment opportunity.

That shift goes beyond analytics.

It changes how organizations allocate capital, how finance teams engage with marketing, and how confidently businesses pursue growth.

The future of measurement is therefore not simply about building better models.

It is about making better decisions.

If the foundation is solid, the central budgeting question changes from:

“How much can we afford to spend on marketing?”

to:

“How much profitable growth can we confidently buy?”

Key Takeaways

1. Start with business outcomes. Measurement should connect directly to revenue, profitability, enterprise value, and the decisions executives need to make.

2. Measure the full business system. Pricing, distribution, economic conditions, competition, seasonality, and other factors must be considered alongside marketing activity.

3. Quantify uncertainty. Probabilistic forecasts and confidence intervals allow marketing investment to be evaluated through the same lens as other business investments.

4. Make measurement actionable. The strongest systems do not simply explain what happened; they guide where, how much, and when to invest.

5. Prove predictive reliability. Holdout testing, out-of-sample forecasting, experimentation, and ongoing monitoring help demonstrate that models can support future decisions.

6. Judge measurement by business leverage. The ultimate value of a model lies in its ability to identify and unlock incremental growth within acceptable risk levels.

Reference

David Beaton, Senior Partner, Navigation ME — Making the case for budget – using six foundations that connect marketing investment to business outcomes, 28 August 2026.

The framework is based on work by David Beaton and Stewart Pearson for Advertising: Who Cares.

© This article is an editorial summary intended for educational and industry knowledge-sharing purposes. It is not a verbatim translation or reproduction of the original publication.