Blog
Short, friendly reads that turn map data into something anyone can act on - starting with what the score actually means and how you control it.
We write for real decisions, not data scientists. Each post breaks a MapBees concept down into plain language, with the same live animations you see on the homepage.
Every colored tile on the map is a 0-100 score answering one question: how good is this exact spot for what you care about? Here is what that number means, in plain language.
Read the articleA bivariate map shades every tile by two things at once. Using residential building volume vs. total population in New York City, here is how to read the colours, the units, and the classification choices - in plain language.
Read the articleWant to know how much of the local customers a store would actually win - and how much your own stores steal from each other? This step-by-step guide walks you through the Market Share tool from the first click to the final report, with no jargon.
Read the articleWant to draw a sales territory, franchise area, or store catchment and instantly see how many people, shops, and buildings are inside - and where two areas overlap? This guide walks you through Territory Mapping from the first click to the full dashboard, with no jargon.
Read the articleWant one page that shows what MapBees actually supports? This guide lists supported countries and cities, the main data categories, and how scoring, bivariate, market share, and territory mapping use those fields.
Read the articleThe full field index for MapBees: every building category, POI type, demographic field, affluence metric, and accessibility signal, with supported countries and cities.
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