What location data tells a business
Practical articles on the places, people, footfall and roads around a business, and the AI employees that watch them for you. Each one ends with the blocks and templates that put it to work.
Topics
9 articlesBusiness and places dataWhat the places around a business tell you: how many there are, chains and independents, ratings, openings and closures.9 articlesPopulation and demographicsWho lives around a place: residents, age groups, people per business and where the gaps are.8 articlesFootfall and mobilityHow busy an area is and when, and what that means for a shop, a site or a campaign.8 articlesRoads and trafficRoad speeds, congestion and incidents around sites, routes and depots.9 articlesSite selection and expansionChoosing where to open next, comparing sites and watching a market after you open.9 articlesSales and prospectingFinding the businesses to sell to, scoring them and reaching the right people at the right time.9 articlesWorkflows by industryHow teams in each industry put location data to work, step by step, with AI employees.9 articlesAI employees and automationHow AI employees read data, decide, and act on their own, and how to run them well.
Newest
A radius or a drive time? Choosing the area around a siteA plain circle is quick and fair for comparisons; a travel time or a road distance follows how people really move. When each one is right, and how to switch between them.Population and demographics · 2 November 2026 · 5 min readA site selection checklist built on location dataEight checks to run on every candidate site before a viewing: reach, residents, rivals, anchors, access, charging and change over time, plus what only a visit can tell.Site selection and expansion · 2 November 2026 · 4 min readAfter you open: how to keep watching the market around a new siteThe site study starts to age on opening day. What to watch around a new store in its first year, how often to look, and how an AI employee can do the looking.Site selection and expansion · 2 November 2026 · 7 min readAsking a map a question and getting an answer with numbersType a question such as how many gyms are within 2 km of a street, and where the gaps are, and get counts, ratings, people per place and the emptiest parts of the circle.AI employees and automation · 2 November 2026 · 5 min readCafe markets in Toronto, London and Sydney: what a new cafe owner can learnFrom 622 cafes within 10 km of central Toronto to 3,111 in London, mostly independent and well rated. What that means for opening a cafe, and how to read the figures.Business and places data · 2 November 2026 · 5 min readChains vs independents: what the market mix tells a newcomer, a supplier and a landlordThe share of chain branches in a market says who decides, who buys and how hard it is to get in. How to read it, with real city figures and the traps to avoid.Business and places data · 2 November 2026 · 5 min readChecking footfall before you sign a leaseA landlord says the street is busy. How to check it with footfall data in an afternoon, what to compare it with, and which questions footfall cannot answer for you.Footfall and mobility · 2 November 2026 · 5 min readComparing footfall between candidate sites fairlyFootfall numbers only mean something side by side. How to compare candidate sites on equal terms, weigh footfall against rivals, and add where visitors come from.Footfall and mobility · 2 November 2026 · 4 min readCounting cars over time: what road traffic history showsHourly car counts on the road nearest a site, going back to 2021, in the United Arab Emirates: what they reveal, how to read them, and what to use elsewhere.Roads and traffic · 2 November 2026 · 5 min readDentists in Toronto, London and Sydney compared: counts, chains, ratings and openingsToronto lists the most dentists of the three, London the fewest, and ratings and recent openings differ too. The figures side by side, and what they can and cannot tell you.Business and places data · 2 November 2026 · 5 min readDoes a busy road help a site? Traffic, visibility and access explainedWhen passing traffic brings customers and when it keeps them away: speed against congestion, getting in and out, and what live road data can and cannot tell you.Roads and traffic · 2 November 2026 · 6 min readEntering a new city: a step-by-step market read before you commitBefore you open, hire or spend in a new city, read its market in order: how many rivals, who they are, how they are rated, where they are fewest and who lives there.Site selection and expansion · 2 November 2026 · 6 min readEV charging near your sites: why it matters and how to check itChargers near a store, hotel or depot shape where electric drivers stop and stay. How to count stations, fast chargers and charge points around every site you run.Roads and traffic · 2 November 2026 · 5 min readFinding where families live, for nurseries, tutoring centres and schoolsChildren by age band show where a nursery, a tutoring centre or a school would find pupils. How to read the 0 to 9 and 10 to 19 counts, set them against rivals, and act.Population and demographics · 2 November 2026 · 4 min readFrom a business on the map to the person to callA list of businesses is not a list of people. How to find the owner or buyer at each company with your own Apollo account, and what to do when nobody matches.Sales and prospecting · 2 November 2026 · 5 min readHiring signals: turning job postings near you into sales leadsA company hiring for a role often needs what you sell. How to find local companies posting jobs, read each posting for the real need, and reach them before others do.Sales and prospecting · 2 November 2026 · 5 min readHow a gym chain watches competitors opening near its clubsA new studio two streets away can take a club's members within months. How gym operators watch openings, closures and rival ratings around every location.Workflows by industry · 2 November 2026 · 5 min readHow a pharmacy chain picks its next siteThe expansion team's job: residents and their ages, clinics that write prescriptions, rival pharmacies within a short walk. How to score candidate sites the same way.Workflows by industry · 2 November 2026 · 6 min readHow AI employees report their week, and how to read itEach AI employee gets a weekly report card: what it found against last week, the strong fits, an estimate of hours saved. How to read it and act on it each Monday.AI employees and automation · 2 November 2026 · 5 min readHow FMCG distributors find new outlets to supplyConsumer goods are won shop by shop. How distributors keep an outlet universe, spot new shops in week one, drop the ones they serve and hand each rep a route.Workflows by industry · 2 November 2026 · 5 min readHow hotels track new competitors opening around themRevenue and sales teams need to know about a new hotel before it takes their guests. The signals that come first, how to read them and a weekly brief that keeps watch.Workflows by industry · 2 November 2026 · 5 min readHow logistics teams watch the roads around their depotsA closure at the depot gate can delay every van that day. How dispatch teams check closures, roadworks and live road speeds around each depot before drivers set off.Workflows by industry · 2 November 2026 · 5 min readHow many competitors is too many near a new site?There is no magic number. How to judge competition around a site by people per competitor, the quality of rivals, new arrivals and your own best branches.Site selection and expansion · 2 November 2026 · 5 min readHow many pharmacies does a big city have, and what the count says about accessLondon lists 866 pharmacies within 10 km of the centre, Toronto 519, Sydney 346. Who runs them, how they are rated, where they are thin, and what that means.Business and places data · 2 November 2026 · 5 min readHow much should an AI employee do on its own?Ask me first, Act and tell me, or Fully on its own: how to choose the right level of independence for each AI employee, by what it sends and who reads it.AI employees and automation · 2 November 2026 · 5 min readHow real estate teams spot new homeowners from county recordsIn some US counties, sales and new owners appear in public property records within days. How agents, lenders and contractors turn them into a weekly list.Workflows by industry · 2 November 2026 · 5 min readHow recruiters find companies hiring nearby, before other agencies callAgencies win mandates by calling first. How to turn public job postings near you into a morning list of employers, with the hiring manager and a note on each role.Workflows by industry · 2 November 2026 · 5 min readHow restaurant groups choose the next neighbourhood to open inResidents per restaurant, the mix of chains and independents, ratings nearby and how easy a street is to reach: how restaurant groups shortlist neighbourhoods.Workflows by industry · 2 November 2026 · 6 min readHow telecom retailers decide where to put phone shops and kiosksPhone shops follow people, not footfall alone. How operators and dealers find blocks with many residents and few shops, from city malls to rural market towns.Workflows by industry · 2 November 2026 · 5 min readHow to build a local prospect list that stays freshA list of local businesses goes stale as places open, close and change hands. How to build one once and keep it current every week without buying another list.Sales and prospecting · 2 November 2026 · 5 min read
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Every article here is something an AI employee in xMap Flows can do for you on live data.