How To Stress-Test Your Location Strategy For The Next Five Years

Key Insights

• Traditional planning is no longer enough to keep up with rapidly changing markets, customer behaviour, competition, and regulation. Businesses now need to adopt a more flexible planning approach that is able to adapt to multiple outcomes.
• Rather than relying on a single forecast, stress testing uses simulations and scenario modelling to test your networks resilience across a variety of market conditions. 
• Businesses can use scenario insights to make better-informed decisions, such as the optimal place to invest, convert, consolidate, or exit.
• Stress testing should become an ongoing process that continuously adapts as your network evolves.
  
  

Location strategy has long operated on a stable set of assumptions…

… A site was a site, customer behaviour tended to follow familiar patterns, and market shifts happened gradually enough that businesses could confidently create long-term, durable network plans around a fairly predictable version of the future. 



Today, markets move with greater speed and consumer behaviour is constantly shifting, meaning that it is increasingly difficult to predict outcomes with any real certainty. Yet, many organisations are still embarking on the site selection process with the same outdated assumptions. 

This is why stress-testing your location strategy is so important.

Instead of optimising for a single outcome, businesses can deploy simulations and scenario testing to see how their network will perform under a series of differing futures. The result is a location strategy that remains resilient during uncertainty, rather than just being tailored for ideal conditions.

This blog will explore exactly how stress testing works, along with the scenarios businesses should be modelling, how this supports more pragmatic decision-making within the site selection and evaluation process, and finally how these insights can be embedded into planning cycles.

What is location stress testing?

A traditional location strategy definition typically focuses on selecting the optimal sites in order to maximise revenue potential and market coverage. Stress testing goes one step further by incorporating the fact that markets continue to evolve. It involves modelling multiple contrasting futures in order to determine a network’s performance, risk exposure, resilience, and strategic trade-offs.

For example, a proposed site may initially appear highly attractive if assessed under baseline assumptions. However, once certain variables, such as slower demand growth or increased competition, have been introduced into the model, that same location may become a less viable option. 

This broader perspective highlights the growing importance of location strategy in modern network planning. 

What factors affect site selection?

There are several factors that can influence how a business may approach the site selection process:

• Demand volatility: Local employment change, transport link changes or the surrounding area.
• Cost shocks: Rent, rates, or labour cost 
• Competitive volatility: Competitor openings or closures, and format changes.
• Regulatory and infrastructure shifts: Planning rules, EV infrastructure, or zoning changes.
  
  

Building a stress-testing framework

The strongest and most effective stress-testing frameworks are typically structured with three connected layers:

Data foundation

A strong simulation can only be created if it has strong inputs. This data should include metrics such as:

• Footfall and traffic flows
• Customer catchments
• Revenue potential
• Customer behaviour trends
• Complementary destinations, such as shopping malls or transport hubs

Contextual market data is equally as important to consider. Planning timelines, infrastructure investment, regeneration projects, and transport changes can all reshape the local area’s potential trajectory over time.

Location intelligence tools, like MVPLUS and IMPACT, can blend internal performance data with market-leading datasets to create that vital foundation. 

Scenario design

Scenario design is developing realistic ‘what if’ outcomes that reflect genuine risks and opportunities instead of relying on vague or generic assumptions. 

These can include:

• Market and demand scenarios: Businesses should model developing local demand conditions, like changing demographics or economic downturns. This highlights if a network remains resilient even under different - and less optimal - conditions.

• Competitive and wider ecosystem scenarios: Competitor activity, such as aggressive expansion or even new market entrants, can dramatically reshape the local performance. Ignoring these shifts can create a major blind spot within the strategy development process.

• Cumulative stress scenarios: One of the biggest advantages of advanced simulations is the ability to deploy multiple pressures simultaneously. Real-world disruption rarely happens in isolation and it’s important to see how your network may operate in these conditions.

How do simulations work?

To begin stress testing, you should first establish a baseline view of current network performance. Through this, the planning horizons can then be set - a combination of short-term tactical decisions and longer-term strategic planning.

Once the baseline is established, scenario assumptions are then layered into the model, which recalculates the outcomes using those revised conditions.

The final stage is to stress-test the stress-test. The most effective simulations do not stop at just one scenario. Instead, they run multiple variations, identifying the vulnerabilities and breakpoints with certainty.



Overall, stress testing should not be optional - it’s a vital component of planning that prepares businesses for long-term durability.

Decision framework

Stress testing is only able to deliver its true value when the outputs are connected to real strategic decisions, whether that’s expansions, closures, relocations or format changes.



How to use scenario results?

The value of strong network modelling extends far beyond simple revenue projections - it transforms analysis into action. 

Scenario outputs can assist businesses by categorising locations into:

• Invest and grow sites that perform strongly across most scenarios
• Locations that are weak in the short-term, but have long-term strategic importance
• Sites that remain vulnerable within most scenarios.

Overall, this creates a much more evidence-based and durable location strategy, allowing for decisions to be made based on concrete data rather than what appears to be correct.

Embedding results into your planning cycle

To ensure you stay ahead of developments, stress testing must be embedded into ongoing planning routines, whether that’s annual strategic review or event-triggered simulations. Tools, like IMPACT, enable planners to rerun these scenarios in-house, compare options, and quantify the impact of each change on the wider network.

Outputs can also connect directly into:

• Capital allocation
• Lease renewals
• Portfolio reviews
• Local marketing strategy



By actioning this process effectively, smarter, better-informed decisions can be made overall as to the optimal locations to focus on in long-term planning.

Building location strategies that survive uncertainty

In increasingly volatile markets, adopting a static site selection process is becoming harder to justify. The strongest networks are now no longer the ones optimised for a single perfect outcome, but instead those that are designed to survive uncertainty and endure long-term.

Markets evolve, customers behave differently, competitors change, and demand patterns are certainly not static, but GMAP’s consultancy services can always assist in keeping your location strategy meeting the demands of the time. Contact GMAP Analytics now, and transform insight into action.