How to Decide Where to Open Your Next Branch
Most multi-site expansion strategies fail not because the idea is wrong, but because the sequencing is. The wrong site in the wrong order destroys cash flow, dilutes management attention, and compresses the margin that makes the model work. Getting the decision right — where, when, and at what pace — is the difference between a rollout that compounds value and one that quietly unravels it.
This model is built on the same decision framework used inside PE-backed distribution and industrial businesses across Australia and APAC. It is not a generic calculator. It is an operator-built tool that forces the right questions and surfaces the right trade-offs before capital is committed.
The Five Factors That Determine Whether a Site Will Work
Demand growth. Is the underlying market expanding? A site opening into a declining or static catchment has a structural headwind from day one. The model weights demand growth as the primary scoring input — not because it is the easiest to measure, but because it is the hardest to fix once you are in.
Competitor density. A market with many competitors is not automatically a bad market — it may simply be a proven one. But proximity to your own existing sites is a different problem entirely. Cannibalism risk is real, measurable, and routinely underestimated. The model applies a cannibalism buffer score that reduces revenue expectations for sites that are too close to your existing network before a single dollar of capex is approved.
Infrastructure pipeline. Where infrastructure is being built — roads, logistics hubs, industrial estates — demand follows. Sites opened ahead of confirmed infrastructure often underperform for two to three years before the catchment matures. The model scores infrastructure pipeline as a forward-looking demand signal, not a current-state measure.
Market size. Not all markets are the same size, even at equivalent population density. For industrial and distribution businesses, the addressable market in a given geography is driven by the industry mix of the local economy. A smaller market may still be a better site than a larger one if the competitive dynamics are more favourable and the capex required is proportionally lower.
Cannibalisation risk. The most common expansion mistake is opening sites too close together in the belief that the network effect will outweigh the revenue dilution. It rarely does in the short term. Each new site should be modelled with an explicit cannibalisation drag applied to projected revenue — not as an afterthought, but as a core assumption.
Why Sequencing Matters More Than Site Selection
The right site opened at the wrong time is as destructive as the wrong site. A branch rollout strategy that front-loads the highest-returning sites and defers capital-intensive, lower-returning locations is systematically more valuable than a geographically-driven rollout that ignores financial sequencing. This model ranks sites by blended ROIC and payback, not by geography, market size, or political preference — and sequences the rollout accordingly.
The rollout speed matters too. Opening too many sites per year stretches management bandwidth, reduces site selection rigour, and increases the probability of failure. The model applies a configurable rollout rate and an explicit execution score — derived from team capability and site selection accuracy — that discounts EBITDA projections in proportion to how stretched the organisation is.
Built for Industrial and Distribution Businesses
This tool is calibrated for businesses operating in physical distribution, industrial services, trade supply, construction supply, and related sectors across Australia and APAC. The industry-specific inputs — including tier-adjusted capex, working capital requirements, ramp profiles, and margin benchmarks — reflect the operational realities of these businesses, not generic assumptions derived from retail or technology rollouts.
If you are a founder preparing for a capital raise, a CFO building a board paper, or a PE operator stress-testing an investment thesis, this model gives you the structural foundation to make a defensible, sequenced expansion decision — before you commit.
Shape Executive · Operator-built tools for industrial and distribution businesses · shapeexec.com.au