Trade Intensity & Export Revenue Estimator

Estimate export revenue potential by market using GDP per capita and trade intensity

Ad placeholder (leaderboard)

When you are choosing which export markets to chase first, you need a fast, consistent way to rank them. This estimator combines a market’s GDP per capita, its population, and an industry trade-intensity coefficient into a rough addressable-market figure, then applies your target share to estimate export revenue potential.

How it works

The model is a simple top-down chain:

spend_per_capita   = gdp_per_capita × trade_intensity
addressable_market = population × spend_per_capita
export_potential   = addressable_market × target_share

The trade-intensity coefficient is the lever that adapts the model to your product — it captures how much of a buyer’s income flows to imported goods of that type. The tool ships with illustrative coefficients per industry that you can override with better data.

Example

A market of 10 million people with $12,000 GDP per capita in packaged food (2.5 percent intensity) implies roughly $300 per person, or a $3.0B addressable market. Capturing a 2 percent share would be about $60M in export revenue potential — a figure useful for ranking, not forecasting.

Notes

This is a prioritisation heuristic. It ignores tariffs, local production, logistics cost, and competitor presence, and the coefficients are illustrative. Use it to shortlist markets, then confirm the top candidates with real customs and trade-flow data before committing market-entry budget.

Ad placeholder (rectangle)