Store Refurbishments Return an 11% Revenue Lift (and 80% Comes from New Customers)

The Question Nobody Was Asking

When a franchise coffee chain invested in refurbishing its stores, the business case was based on brand standards, customer experience, and franchise agreement compliance. The assumption was that newer, better-looking stores would perform better. But nobody had measured how much better, or whether the investment actually paid for itself.

That changed when the brand’s marketing team decided to include store refurbishments as a variable in their marketing mix model. The model was already measuring the incremental impact of media spend, promotions, and seasonal factors on store-level revenue. Adding refurbishment dates as an additional input was straightforward.

The results turned a vague assumption into a precise business case.

What the Numbers Showed

Across 34 stores that had been refurbished during the measurement period, the model found:

• 88% of refurbished stores showed a statistically significant revenue lift. This was not a marginal finding. The vast majority of stores saw a measurable, reliable increase in revenue after refurbishment.
• The average lift was 11%. Some stores saw more, some less, but the central tendency was clear. A refurbished store could be expected to generate roughly 11% more revenue than it would have without the investment.
• The annualised incremental revenue across all 34 stores was $4.9 million. This is the revenue directly attributable to the refurbishments, after controlling for all other factors including media, promotions, seasonality, and local market conditions.

These are not small numbers. For a franchise network, an 11% average lift per refurbished store represents a significant return on capital.

Where the Lift Came From

The most interesting finding was not the size of the lift but its composition.

80% of the revenue increase came from more transactions, not higher prices. Refurbished stores were serving more customers, not just charging existing customers more. Only 20% of the lift was attributable to higher average transaction values.

This distinction matters. A lift driven by price increases is fragile. It can erode if competitors undercut you or if customers trade down. A lift driven by more transactions suggests that the refurbishment is genuinely attracting new customers or increasing visit frequency among existing ones.

For the coffee chain, this meant the refurbishments were not just cosmetic upgrades. They were functioning as a customer acquisition tool, drawing in people who had previously walked past or chosen a competitor.

The Financial Case

With the revenue data in hand, the business case became straightforward.

Average refurbishment cost: approximately $150,000 per store. This covered interior fit-out, equipment upgrades, signage, and temporary closure costs.

Average incremental revenue per store: approximately $110,000 per year (11% lift on existing revenue, which varied by store). After accounting for cost of goods and operating costs, the incremental profit per store was approximately $80,000-90,000 per year.

Break-even: roughly 1.5 years. After that, the store generates approximately $400,000 in net profit attributable to the refurbishment over a five-year horizon.

Marketing fund contribution: the brand’s marketing fund contributed $50,000 per store toward refurbishment costs, reducing the franchisee’s out-of-pocket investment to approximately $100,000. This made the payback period even shorter from the franchisee’s perspective.

Geographic Variation

The model revealed meaningful differences across states. Stores in Victoria and one other state showed the highest lifts, with some reaching up to 16% revenue increase. Other states showed lower but still positive returns.

This geographic variation is useful for prioritisation. If the brand has a limited refurbishment budget, the model can identify which stores and regions are likely to produce the highest return, allowing the network to sequence investments for maximum impact.

Why This Matters Beyond Coffee

The significance of this analysis is not really about coffee shops or refurbishments specifically. It is about the principle that non-marketing investments can be measured with the same rigour as media spend.

Most brands already measure the ROI of their advertising. They know, or at least estimate, what a dollar of search spend or social spend returns. But they rarely apply the same measurement framework to physical investments like store upgrades, new location openings, or operational changes.

This creates a blind spot. Decisions about physical investment get made on gut feel, brand guidelines, or franchise compliance requirements. They are treated as cost-of-doing-business rather than as measurable, optimisable investments with quantifiable returns.

Marketing mix modelling changes that. Because the model controls for all other factors affecting revenue, it can isolate the incremental impact of any change, whether that change is a new TV campaign or a new shop fit-out.

Other Non-Marketing Variables Worth Measuring

The same approach that worked for store refurbishments can be applied to:

• New store openings. What is the incremental revenue from opening a new location, controlling for cannibalisation of nearby stores?
• Menu or product changes. Did the new product launch actually drive incremental sales, or did it just cannibalise existing products?
• Operational improvements. Does faster service (measured by average wait time) translate to measurable revenue gains?
• Loyalty program changes. What is the incremental revenue from a revamped loyalty program, separate from the promotional discounts it offers?
• Staff training programs. Do stores that receive specialised training programs show measurable performance improvements?

Each of these questions can be answered with the same econometric framework used for media measurement. The data requirements are similar: you need a time series of the variable in question and a time series of revenue at the same level of granularity.

How to Build the Case Internally

If you want to measure non-marketing investments through your marketing mix model, the practical steps are straightforward.

Include the variable in your model specification. When you set up or refresh your model, add the non-marketing variable as an input alongside your media and promotional variables. For refurbishments, this is typically a binary flag (before/after) or a step function at the store level.

Ensure sufficient sample size. You need enough stores (or locations, or time periods) with and without the intervention to produce a reliable estimate. The coffee chain had 34 refurbished stores, which was more than enough. Fewer than 10 would make the estimate less reliable.

Control for confounding factors. Make sure your model accounts for other things that changed at the same time. If a store was refurbished during a major promotional campaign, the model needs to separate the two effects. This is standard practice in marketing mix modelling but worth emphasising.

Present the results in financial terms. Executives and franchisees respond to payback periods and net present value, not statistical coefficients. Translate the model output into a business case that speaks the language of investment decisions.

The Takeaway

Store refurbishments are not just a cost centre. For the franchise coffee chain that measured them properly, they turned out to be one of the highest-returning investments in the business, with a clear payback period, a five-year profit profile that rivals most media campaigns, and a composition that suggested genuine customer acquisition rather than price inflation.

The broader lesson is that if you can measure it, you can optimise it. Marketing mix modelling is not just for media. It is a framework for understanding what drives revenue, whether that driver is a Meta campaign or a new countertop.

Seeda’s marketing mix models can incorporate non-marketing variables like store refurbishments, new openings, and operational changes alongside media performance. Get in touch to measure what your physical investments are really returning.