Why we use the term “socio-environmental investment” and, sometimes, just “investment”
Although you are not investing in some sort of financial product with a certain return on investment, we hope you will invest in something that is equally tangible, real and, arguably, more important...
The ultimate return on investment
We think socio-environmental return on investment is a good way to show how you contribute to socio-environmental change. Social and environmental outcomes have economic value that reflects as the long-term benefits for people and the planet.
These outcomes contribute to keeping ecosystems intact, prevent biodiversity loss and ensure positive social change for people.
We don’t ask for a “donation” or “funding” or a “financial contribution”. That’s handing over your hard-earned money, hoping that it will be used for something good. No. We want you to invest in the future, invest in tomorrow, because when you are invested, when you make an investment, you acknowledge that you have something to lose.
The amount that you choose correlates with the number of 9-Squares that you contribute to.
The value of one square is $9.
For example, if you make a contribution of $54, you will receive the unique what3words address of six 9-Squares.
Your virtual 9-Squares with their unique what3words address will be available in your user portal.
Your virtual squares pinpoint squares in the real, physical landscape.
Your virtual 9-Squares allow you access to the online dashboard from where you can track progress with the programme and project implementation that your contribution has made possible.
Completely secure payment
Claim your unique address in the landscape
Dashboard access to track changes in the landscape
what3words is an ever-increasing popular global addressing standard that we use to pinpoint our Minimum Mapped Unit (MMU) of 3m x 3m blocks (9-Square) across a physical landscape. It is used to clearly quantify and qualify landscape features, and can thus be efficiently monitored and measured using Earth Observation, IoT and human-collected field data.