We Spent $700K on Marketing and Couldn't Tell If It Worked

The $700K Question Nobody Could Answer

Imagine spending $700,000 on marketing in nine months and having no idea whether it moved the needle. That was the reality for a national QSR franchise with 37 stores across Australia.

The head of marketing had been in the role for six months. Before they arrived, the franchise was spending zero dollars on marketing. They built a strategy, launched campaigns across multiple channels, and invested heavily. But when franchisees asked the obvious question, “Is this working?”, the answer was an uncomfortable silence.

Year-on-year sales numbers hadn’t visibly improved. The marketing leader was effectively on trial with a network of franchisees who had seen plenty of promises before. And the clock was ticking.

Why Traditional Tracking Fell Short

The core problem wasn’t the marketing. It was the measurement gap.

70% of this franchise’s sales happened in-store. Customers walked in, ordered at the counter, and paid. There was no loyalty app, no unique promo codes tied to campaigns, and no way to connect a digital ad impression to a physical transaction.

Platform attribution, the numbers Meta and Google report back, only covered about 10% of total transactions. That left the vast majority of revenue completely invisible to the marketing team.

This is the reality for most QSR and retail businesses. Digital platforms will happily take credit for the sales they can track, but they have no visibility into what happens at the counter, on the phone, or through third-party delivery apps. The result is a wildly incomplete picture of marketing effectiveness.

The Pressure of Competing on a Small Budget

To make matters more challenging, this franchise was operating with a $2 million annual marketing budget. Their primary competitor? A national chain spending $42 million per year.

Every dollar had to work harder. There was no room for waste, no margin for channels that looked good on a dashboard but didn’t actually drive people through the door. The franchise needed a crystal ball that could tell them exactly which investments were generating real returns.

What Marketing Mix Modelling Revealed

Marketing mix modelling (MMM) became that crystal ball. By analysing the relationship between marketing spend, external factors like weather and seasonality, and actual store-level sales data, MMM could attribute revenue to specific channels regardless of whether a customer interacted with a tracking pixel.

The results reframed the entire conversation.

MMM identified $4.5 million in incremental revenue directly attributable to the marketing investment. That translated to a 4.6x return on ad spend (ROAS) across the campaign period. For every dollar spent on marketing, the franchise generated $4.60 in revenue that would not have existed otherwise.

From “Is This Working?” to “Where Do We Double Down?”

The shift was dramatic. The marketing leader went from defending their budget to presenting franchisees with clear evidence that the investment was paying for itself several times over.

But the value wasn’t just in the headline number. The model broke down performance by channel, by region, and by time period. It showed which channels were driving the highest incremental returns, where saturation was setting in, and where there was headroom to invest more.

Some channels were delivering exceptional returns. Others were contributing less than expected. Without MMM, those underperformers would have continued absorbing budget indefinitely, hidden behind vanity metrics and platform self-reporting.

The Offline Attribution Problem Is Universal

This franchise’s situation is far from unique. Any business where a significant share of transactions happen offline faces the same blind spot.

Quick-service restaurants, retail chains, automotive dealerships, healthcare providers, financial services companies with branch networks. All of them share a common challenge: digital marketing drives awareness and consideration, but the conversion happens in a physical location where digital tracking cannot reach.

Platform-reported metrics fill a fraction of the picture. They measure clicks, impressions, and the small percentage of online conversions they can claim. But for businesses where the real money changes hands offline, those metrics are a rounding error on total revenue.

What a Crystal Ball Actually Looks Like

MMM works because it doesn’t rely on individual user tracking. Instead, it uses statistical modelling to isolate the impact of each marketing variable on total sales. It accounts for baseline demand, seasonality, promotional activity, competitive pressure, and external factors.

The output is a clear, channel-by-channel view of what drove incremental revenue. Not estimated revenue. Not platform-claimed revenue. Actual incremental revenue that would not have occurred without the marketing investment.

For the franchise, this meant being able to say with confidence: “This $700K investment generated $4.5M in sales we would not otherwise have had.” That statement changed the dynamic with franchisees entirely.

The Human Story Behind the Numbers

The head of marketing at this franchise walked into a business that had never invested in marketing. They built a function from scratch, convinced franchisees to fund a budget, and launched campaigns across a competitive landscape dominated by a rival with 20 times the spend.

Six months in, the year-on-year numbers hadn’t obviously shifted. The narrative was forming: “We spent all this money and nothing changed.” Franchisees were sceptical. The role was on the line.

MMM didn’t just measure marketing. It saved a career and validated a strategy. The data showed that marketing was working, working exceptionally well in fact, but the effects were invisible without the right measurement framework.

Why Gut Feel Isn’t Enough Anymore

In the early days of a marketing function, gut feel and directional signals might be sufficient. But once you’re spending hundreds of thousands of dollars, stakeholders need more than anecdotes and platform screenshots.

Franchisees, boards, and CFOs think in terms of revenue and margin. They want to know: for every dollar we put into marketing, how many dollars come back? If you can’t answer that question with data, the budget is always at risk.

The Takeaway

If you’re spending significant money on marketing and most of your revenue happens offline, you are almost certainly flying blind. Platform metrics will tell you a fraction of the story. The rest, often the vast majority, remains invisible without a measurement framework designed for offline-heavy businesses. The brands that figure this out don’t just measure better. They compete better, allocate smarter, and build the internal credibility that keeps marketing budgets growing instead of shrinking.