Clear logic. Validated inputs. Planning-ready.

Market Sizing and Forecasting You Can Defend

Defensible market sizing and realistic forecasts built on clear definitions, transparent assumptions, and validation checks suitable for leadership planning.

Research That Drives Decisions

Stop using inflated numbers

We define the market properly, use multiple methods, and model adoption constraints so your sizing and forecasts are credible and usable.

Market Definition and Units

We define boundaries, units of measure, segments, and inclusions/exclusions to prevent inflated results.

TAM SAM SOM Framework

Sizing structured for strategic clarity, with constraints and realistic obtainability embedded from the start.

Top-Down Sizing Path

Segment from credible baselines using defensible assumptions and cross-checks.

Bottom-Up Build

Model opportunity using units, pricing, capacity, adoption, and channel realities.

Adoption Constraints That Keep It Real

We reflect distribution limits, buyer readiness, competitive pressure, and conversion capacity.

Forecast Driver Model

Transparent drivers and levers that leadership can understand and update over time.

Scenario Ranges for Planning

Base, alternative, and sensitivity ranges that show what changes the outcome.

Model Handover and Documentation

Assumptions log, evidence map, and a model structure suitable for internal planning.

Simple - Transparent - Focused on You !

Lock Market Boundaries

Define scope and segments clearly. Prevent inflated sizing.

Model the Opportunity

Build sizing with multiple methods. Reconcile differences.

Forecast with Scenarios

Create ranges and sensitivities. Plan under uncertainty.

Hand Over the Model

Document assumptions and levers. Enable internal updates.

Team Illustration
Answering all of your questions

TAM is total scope, SAM is serviceable, SOM is realistically obtainable. Next step: confirm your market definition and constraints.

Cross-check across credible sources and methods, then reconcile differences. Next step: agree on acceptable input standards.

Yes, with assumptions and sensitivity levers. Next step: confirm the model format your team uses.

Yes, depending on data and scope we can size at city, country, or region level. Next step: confirm geography and segment.

Clear definitions, transparent drivers, and defensible logic. Next step: align the sizing to the decision it must support.

By defining inclusions/exclusions and applying adoption constraints. Next step: list the real-world capacity constraints.

Depends on scope and data availability; phased delivery is possible. Next step: share your planning timeline.

Yes, with defensible narrative and assumptions. Next step: share the investor questions you must answer.
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