India's startup ecosystem raised over $10 billion in venture funding in 2024 despite a global funding slowdown. But inside many of these well-funded startups, the financial models driving operational decisions are the same ones used to raise the funding round — and the two purposes require fundamentally different models.

A fundraising financial model is a narrative device. Its job is to show investors a credible path to a large market opportunity at attractive unit economics. It is inherently aspirational, structured around assumptions that reflect the thesis, and optimised for the slide deck conversation rather than operational management.

An operational financial model is a decision-making tool. Its job is to tell the leadership team — daily, weekly, monthly — whether the business is performing in line with the plan, where it is deviating, and what management actions are required to correct. It needs to be granular where it matters, connected to actual data systems rather than manually updated, and designed around the decisions the leadership team actually makes.

The gap between these two models is where cash gets mismanaged. A startup that raised on a GMV model discovers that its contribution margin by cohort is declining in ways the aggregate model obscures. A SaaS company that modelled on ARR growth discovers that its net revenue retention — the metric that actually determines long-term enterprise value — is not being tracked at all.