Data science that sizes the opportunity and tests the plan.
Market sizing, models and simulators, built from surveys, your own data and outside sources, so your team can try a plan before committing to it.
Before you commit.
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You need to know how big the opportunity is.
A market estimate, with the sources and assumptions behind it, that your finance team can assess.
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The decision comes before any test in market.
A simulator built around your decision lets your team compare the options while there’s still time to choose.
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Your own data could tell you more.
Your sales, customer or tracking records can show what each segment is worth, or where a new market behaves differently from one you know.
Sizing, simulation and analysis.
- Market sizing
The size of a market, a segment or a new proposition.
- Modeling and simulation
Models that show how your options compare, built for the decision in front of you.
- AI-assisted analysis
Our own AI agents help us look further and check harder; our people decide what it means.
Sized before the commitment.
- Weighing where a travel brand’s fleet should go An assessment of deployment options. What happened next Part of the fleet later ran seasons the itinerary research had assessed.
- Weighing a new home-energy proposition A staged market sizing by product.
- Setting an entry order for five new countries A sizing and opportunity grade for each country, brought together in an entry order.
What a model can and can’t tell you.
Is a market sizing a sales forecast?
No. A sizing shows whether an opportunity is worth pursuing and where it’s largest, before there’s an offer to forecast.
Will the simulator tell us what to do?
It shows the best option under its assumptions. We treat that as the starting point, and test it against what the business can actually do.
Sizing an opportunity, or weighing a change to the plan?
Bring the decision and the data you already hold. We’ll say what a model could add to what your team already knows.
A partner or director will reply.