Why Regional Audiences Are Your Secret Weapon in Digital Advertising

The Metro Assumption

Most brands default to a metro-first media strategy. The logic seems sound: bigger populations, more eyeballs, higher density of potential customers. When budgets are tight, metro markets get priority because that’s where the volume is.

But what if this assumption is costing you money?

Recent marketing mix modelling (MMM) work we’ve done with a national retail brand in Australia has surfaced a finding that challenges this conventional thinking. When we split their model into metro and regional store segments, the results were striking: digital ad ROI in regional areas was roughly double that of metro.

What the Data Showed

Using two years of transaction data across hundreds of stores, we built separate attribution models for metro and regional locations. The goal was to understand whether customers in these two segments responded differently to the same media channels.

For paid social advertising specifically, the numbers told a clear story:

Metro stores: ROI of approximately 2–3x
Regional stores: ROI of approximately 4–5x

The response curves (how quickly returns diminish as you spend more) were similar in shape. Both segments saturated at roughly the same rate. The difference wasn’t about diminishing returns hitting earlier in one segment. Regional audiences were simply more responsive, dollar for dollar.

Why Regional Outperforms

There are a few dynamics at play that likely explain this gap.

Less competition for attention. In metro markets, consumers are bombarded with advertising from every direction. Digital feeds are crowded. In regional areas, there’s less noise, which means your ad has a better chance of cutting through.

Stronger purchase intent. Regional customers often have fewer retail options. When they see a relevant ad, they’re more likely to act on it because the alternatives are limited. Metro consumers can comparison-shop more easily, which dilutes conversion rates.

Lower cost per impression. Programmatic ad platforms tend to charge less to serve ads in lower-density areas. You’re reaching fewer people, but each impression costs less and converts better.

Community effects. Word of mouth travels faster in smaller communities. A single ad conversion can generate downstream awareness that wouldn’t happen in an anonymous metro market.

The Broader Pattern

This wasn’t an isolated finding. When we looked across other channels, the metro-versus-regional split was broadly consistent. Out-of-home advertising showed similar ROI in both segments (around 4x at comparable spend levels). Radio underperformed in both, with ROI below 1x regardless of geography.

The consistency of the pattern suggests this isn’t a quirk of one channel or one campaign. It reflects something structural about how regional audiences engage with marketing.

What This Means for Budget Allocation

If your media strategy treats regional as an afterthought, or worse, assumes digital won’t work outside metro areas, you’re likely leaving significant returns on the table.

Here’s what we’d recommend:

Split your attribution modelling by geography. A national model can mask these differences entirely. When we ran a single national model for this client, certain channels were undetectable due to correlation effects. Splitting the model broke those correlations and revealed channel-level performance that was previously hidden.
Test dedicated regional campaigns. Rather than letting platform algorithms allocate spend (which naturally skews toward metro due to population density), run campaigns specifically targeting regional audiences and measure the incremental impact.
Rethink your saturation assumptions. Just because a channel saturates quickly in metro doesn’t mean it behaves the same way regionally. The saturation curves may be similar in shape, but the baseline ROI is higher, which means your effective ceiling is higher too.
Use budget optimisation tools. Modern MMM platforms can model scenarios like “what happens if I shift 20% of my metro social spend to regional?” and predict the revenue impact. These aren’t hypothetical exercises; they’re grounded in your actual response curves.

The Bottom Line

The brands getting the most from their digital spend aren’t necessarily the ones spending the most. They’re the ones spending in the right places. For many Australian brands (and likely brands in other markets with similar metro-regional dynamics), regional audiences represent an underinvested segment with outsized return potential.

The data is clear: don’t sleep on regional.

At Seeda, we help brands uncover these kinds of insights through marketing mix modelling and budget optimisation. If you’d like to understand how your spend performs across different segments, get in touch.