Turning data into action: getting the most out of your regions

Spotting opportunities for regional growth and setting budgets around them can become a battle of confidence.

The local team with the strongest case, the best data or the most persistence can end up with more money. That does not always mean it is the region or market where the next pound will generate the most sales or profit.

I have worked in marketing ROI for many years, and one of the recurring frustrations for central media directors and CFOs has been the same question: where should we keep investing, where should we increase spend, and where should we take money away?

It becomes harder when budgets are cut.

Every regional lead has good reasons to protect their spend. Central teams have a fixed budget to divide. The business needs an answer that is fair, clear and commercially defensible.

The annual loop takes time and rewards the best negotiator

Many organisations still run a familiar annual process:

Central teams ask region for the budget they need to hit their targets. Each region returns a plan. Central finance or marketing then cuts and levels those plans to fit the available budget. Regions receive the revised figures, rebuild their case and ask for more. Central teams level the plans again.

• Central teams ask region for the budget they need to hit their targets.

• Each region returns a plan.

• Central finance or marketing then cuts and levels those plans to fit the available budget.

• Regions receive the revised figures, rebuild their case and ask for more.

• Central teams level the plans again.

It can take months.

The process assumes three things:

Every market understands how marketing affects its sales and profit Every market uses the same data, assumptions and logic No market overstates what it needs to protect its local budget

• Every market understands how marketing affects its sales and profit

• Every market uses the same data, assumptions and logic

• No market overstates what it needs to protect its local budget

That is a lot to assume.

Regional teams know their own market better than anyone, yet they also have every reason to make their case as strongly as possible. A market with stronger analytics, better access to data or more senior backing can come out ahead.

The business can then allocate money based on who argued best, rather than where it will create the best return.

A common scorecard improves the conversation

A shared framework changes the nature of the discussion.

Start with the same data and assumptions for every market, then give regions a transparent way to input their local knowledge. The central team can see how each conclusion was reached, while regions can see the basis on which their budgets are being compared.

The first version can be relatively simple.

Bring together measures such as sales, profit, marketing cost, promotion cost, listing activity, inflation and brand health. Use them to create a consistent view of which regions have the strongest underlying case for investment.

That alone can remove a lot of noise.

It gives central teams a clearer starting point. It also gives regional teams a fairer process, because they can challenge the data or assumptions rather than simply reopening a negotiation.

A scorecard has limits, though.

It can rank markets, but it cannot tell you how much more to spend in each one. A region or market with an attractive historical return may already be close to its practical limit, while another market may have more headroom.

That is where response curves matter.

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The next pound matters more than last year’s position

As spend rises, returns tend to fall.

At lower levels of activity, each extra pound may reach new people or unlock demand that was previously missed. At higher levels, activity starts reaching the same people again, demand becomes harder to find and the return from the next pound falls.

A response curve makes that visible.

It estimates the relationship between spend and outcome in each region, then shows how the likely return changes as you add budget. The curve takes account of local market potential, commercial costs and the level of demand available.

That gives you a much better budget question.

Rather than asking which market delivered the highest ROI last year, ask where the next part of the budget will generate the greatest return.

A market with a high historical ROI may already have plenty of support. A smaller market may have lower historical sales, yet a steeper response curve and more room to grow. The right allocation sits in the difference between those two views.

Once each market has a curve, you can allocate the budget in smaller amounts. Place the next amount where the predicted return is highest, then repeat until the full budget has been assigned.

The result is a clearer regional commercial budget allocation, grounded in the same commercial logic for every market.

Start simple, then measure the uplift directly

You do not need a large global programme to get started.

A practical first version can use readily available annual data, which makes it quicker to build. AI can help bring the data together, refresh the inputs and keep the tool current as conditions change.

The model should also look forward.

Future economic conditions, new product launches and planned media activity may not exist in historical data. You can build reasonable scenarios around those changes, using comparable events where they exist, rather than pretending next year will look exactly like last year.

In the right circumstances, a more sophisticated regional allocation can improve budget effectiveness by 5% to 15%.

Once the business has the data, another step is to measure the uplifts directly through econometrics or MMM. That needs more history, typically three years of weekly data across the commercial drivers of sales, yet it replaces estimates with measured regional response.

The bigger benefit is not only the annual allocation.

When you refresh the curves through the year, you can respond to changing costs, demand, competition and local conditions. Regional planning becomes a live commercial decision, rather than a once-a-year negotiation that is out of date by spring.

Summary

A regional budget process needs to be credible to central finance and fair to local teams.

Start with a shared set of data and assumptions. Add response curves so you can see where the next pound will work hardest. Give each region a clear way to challenge the inputs, while keeping the final allocation tied to sales and profit.

If your regional budget process still depends on months of negotiation, ask one question: are you allocating money to the markets with the strongest case, or to the markets with the strongest return?