Alternatives
Placer.ai alternative for where-to-open questions
Placer.ai measures visits: how many people come to a place, and from where. MapBees works on the questions that come before any visit exists: who lives nearby, what's already there, what's missing, and whether a cluster is real.
Where Placer.ai fits
Placer.ai is a foot-traffic analytics platform. It estimates visits to stores, malls and streets from mobile location data, so it is strongest when the place already exists and you want to know how busy it is, where its visitors come from and how that is changing. MapBees has no visit data at all. It answers a different question: what a neighborhood is made of, measured the same way in all 147 cities it covers.
Where Placer.ai is the better fit
- You need visit counts, or where the visitors to a real store or street come from.
- You want to follow how busy a place is week by week, or compare a chain's stores by their visits.
- Your decision depends on change over time. MapBees shows each city at one point in time.
What you can answer in MapBees today
| Your question | Where in MapBees | What you see |
|---|---|---|
| Who lives within a 10-minute walk of this street? | Territory · catchment | A walking catchment from your pin, with its residents, ages, households and places on one dashboard. |
| Are there already more cafés here than the city average? | Fair share (Location Quotient) | Cafés per 1 000 residents against the city's rate: 1× is average, 2× is twice it. |
| How many grocery stores is this neighborhood short of? | Missing (gap analysis) | How many the hex would have at the city's rate, minus how many it has. |
| Is this cluster of pubs real, or chance? | Clusters (Getis-Ord Gi*) | Hexes are marked genuinely busy or genuinely quiet only when they pass the test. |
| How much demand would a new store take from my others? | Market Share (Huff gravity model) | Each store's captured demand and share, the demand it contests, and the cannibalization between your own stores. |
Try it on a real map
Each button opens the example in the map app, ready to change.
Shortlist on people and places, then check the visits
A sensible order for a new store: shortlist neighborhoods on who lives there and what is already there, then look at visit data for the few that survive. MapBees covers that first step in 147 cities across 10 countries, and the shortlist travels as a link. Copy link reopens the exact map, factors and weights included, for a partner or a landlord.
Market share without visit data
Market Share splits the demand around your stores and competitor stores with the Huff gravity model: nearer and more attractive stores win more of each hex. Demand can be residents, households, income or building volume, and each store's catchment can be drawn by driving, walking, cycling or transit. The report lists every store's captured demand and share, and downloads as a CSV.
What MapBees does differently
- Who lives nearby: population, age, households and income from each country's own census, for every hex about 350 m across.
- What is already there: 1,014 kinds of place from Overture Maps, counted per hex, per 1 000 residents or per km².
- What is missing: the Missing map estimates how many of a kind of place a hex would have at the city's rate, and how many it is short.
- Whether it is real: the Clusters map marks only the hot and cold spots that pass a significance test.
- Ask in plain words: Scout Bee, the AI map assistant built into MapBees, turns a sentence into a map and shows how it read your question.
Frequently asked questions
Does MapBees have foot-traffic data?
No. MapBees has no visit, footfall or mobile location data. It maps who lives in each hex, from each country's census, and what is there, from Overture Maps. Where a city has it, Pedestrian potential stands in for foot traffic: an estimate of how much a hex's transit timetable, streets and everyday places invite walking, not a count of people.
Can I use MapBees and Placer.ai together?
Yes. Use MapBees to shortlist neighborhoods on residents, places and gaps, then look at visit data for the few that remain.
Which cities does MapBees cover?
147 cities in 10 countries, including New York City, London, Berlin, Paris, Toronto, Sydney and São Paulo.
How do I try it?
Open the map app in your browser and pick a city. The full app is on the Free Tier.
Keep reading
Meet Scout Bee (a map you can just talk to)
Type what you're actually trying to do - "a coffee shop somewhere busy in Houston" - and Scout Bee sets up the map, shows you exactly what it changed, keeps your own changes, and lets you undo it. Here is everything it can do, using Houston throughout.
Read the guideFair share: the Location Quotient, explained simply
A number on its own tells you little. 2.7× the London average tells you a lot. Here is the formula behind the Fair share map (the Location Quotient), worked through with cafés in London.
Read the guideHow to use Market Share (step by step)
Want 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 guidePlacer.ai is a trademark of its respective owner. This comparison describes each product's public positioning as of October 3, 2026, and is not affiliated with or endorsed by Placer.ai.
About the author
Tinkal Gogoi(LinkedIn profile, opens in a new tab)Founder & Location Data Engineer
Builds MapBees's location-intelligence pipeline end to end — census and Overture Maps ingestion, H3 hex scoring, and the map interface — and writes the methodology behind every number on the site.