A geospatial data and location-intelligence provider needed to make a strategic decision about the future direction of their platform. With limited R&D resources and growing competition, leadership needed to choose between three paths: expand into new geographic markets, build new features for existing customers, or consolidate and deepen their current offering.
The decision
The leadership team faced a resource-allocation problem. Each strategy carried different implications for customer acquisition cost, churn risk, competitive exposure and engineering burden. They needed to understand the likely outcomes and risks of each path before committing budget and headcount to a multi-year strategy.
The simulation
Simplutech built a multi-agent simulation model using the client’s operational data — current customer base, churn patterns, competitive landscape, feature adoption rates and market research. The model tested three scenarios over a 24-month horizon:
- Scenario A — Geographic expansion: aggressive entry into new regions, increased sales effort.
- Scenario B — Feature-led: new capabilities, higher stickiness, deeper integration with existing customers.
- Scenario C — Consolidation: optimise the existing base, improve margins, reduce complexity.
The simulation modelled customer acquisition, retention, competitive win/loss patterns, engineering-resource constraints and financial outcomes across each scenario.
The outcome
The simulation revealed that geographic expansion alone would stretch resources thin and expose the platform to competitive pressure in core markets. The feature-led strategy showed the strongest retention uplift and competitive defensibility, though with a slower revenue ramp. Consolidation would improve margins but risked losing momentum in a growing market.
The recommended approach was a hybrid: consolidate engineering around a focused feature roadmap for the next 12 months, then selectively expand into adjacent markets using the stronger, more defensible product. This balanced growth and operational sustainability.
The value
The simulation output included scenario comparison (revenue, margin, CAC, churn by path), a sensitivity analysis showing which assumptions mattered most, and a recommended phased roadmap with 6-month milestones and decision gates. This turned an intuitive debate into a data-backed strategic plan — reducing decision risk and aligning the leadership team around a shared direction.
Disclaimer: OutcomeLab reports are decision-support tools, not guarantees. Results depend on available data, stated assumptions and real-world execution.