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Financial Modeling · Commercial Strategy

Modeling the Revenue Hidden in an Evaluation Pipeline

Role: Independent consultant Client: Early-stage genomics research tools company
A genomics tools company had strong technology and growing customer interest — but little to show investors yet. The revenue potential was there, just invisible in early-stage evaluation data. I built a model that made it visible.

The Challenge

The team could only show investors very small revenue from product evaluations. They needed to credibly paint a picture of the revenue streams that could realistically emerge from that evaluation activity — across five distinct product lines, custom development projects, and sporadic but potentially large clinical diagnostic conversions.

What I Did

  • Mapped five distinct products aimed at different market segments, each with its own growth and adoption curves, into a single integrated revenue model.
  • Modeled custom development projects that yielded new control sequences for inventory and product development — capturing how these triggered growth in both price and adoption over time.
  • Built a simulation to model the sporadic but high-value conversions from R&D evaluation sales into clinical diagnostic use — where a fraction of evaluation customers convert to dramatically larger unit volumes. A standard forecast would either ignore these or wildly overstate them; the simulation modeled them probabilistically.
  • Designed the model from the start to be handed off: clearly documented assumptions, modular structure, and a logic the team could follow, update, and present to investors independently.

Outcome

The model gave the team a credible, detailed picture of where their revenue could go — grounded in the evaluation activity they already had. It became their primary tool for investor conversations and internal planning, structured to be updated by the team as their pipeline evolved.

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Deliverables
  • Integrated five-product revenue model with distinct adoption curves per segment
  • Custom development project revenue flywheel model
  • Probabilistic simulation for clinical diagnostic conversion opportunities
  • Fully documented assumption framework for ongoing team use
  • Model structured for investor data room presentation
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All supporting analysis is documented professionally and structured for inclusion in an investor data room.