Where to open serviced apartments
The blocks where business travellers need serviced apartments, scored and approved.
What it does
Every month: the blocks of your city with the most working-age adults, the offices, coworking spaces and universities near each, the hotels already there, scored by xMap AI, approved by you, emailed and mapped.
In one sentence: Monthly on the 1st at 08:00, in Paris, count who lives around, sort them by adults_20_59 and keep the top 40, count the corporate offices, coworking spaces and universities within 1 km of each, work out new fields, score and rank them with xMap AI, keep those where fit score ≥ 60, wait for approval, then email the list to you and show them on a map.
Why it is useful
Serviced apartments fill when offices, universities and coworking spaces are a walk away. This flow ranks every block on that demand so acquisitions look in the right streets.
Who it is for
Hotels, travel & tourism. Hotels, tour operators and destination teams watching guests, rivals, weather and partners. Every use case for hotels & tourism
Best use cases
- A serviced apartment operator
- A real estate investor
- A hotel group planning an extended-stay brand
What each run gives you
- A shortlist to approve
- An email
- A map
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 240 minutes each time; it runs about 1 time a month, so it saves about 4 hours a month (an estimate). It is advanced: 11 blocks.
The flow, block by block
- On the 1st of every monthTrigger · ScheduleStarts the flow on a timetable.
- My cityWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- Adults in every blockxMap data · DemographicsWho lives in an area: the number of residents, men and women, and nine age groups, from xMap’s population grid (hexagons of about 0.1 km², about 100 countries).
- Best 40 firstLogic · Sort and limitPuts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
- Offices and universities nearbyxMap data · Nearby placesPlaces around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.
- Demand pointsLogic · Calculated fieldAdds fields worked out from the others: a number, a text or a yes/no.
- Rate each block with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- Fit score ≥ 60Logic · FilterKeeps only the items that match a rule.
- Approve the shortlistLogic · ApprovalStops the run until someone says yes.
- Email me the listAction · EmailSends one email per run with all the items, or one email per item.
- Show them on a mapAction · Show on a mapShows the results as points on a map, with the area of interest.
Every block can be changed after you use the template: the city, the type of place, the score, where the results go.
Use it now
Answer a few questions, enter your work email, and it runs in your own account, kept running until you pause it. Use this template.
How to set it up
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- Ask the map a question: How many of a kind of place, how many people for each, and where the gaps are, answered on the spot.
- Count what is around each of your places: Competitors, footfall magnets or services within a distance of each site.
- Compare sites side by side: Two or three spots measured the same way, one column each, the best of every row marked and the best site and why.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- Site selection: Choosing where to open a store, branch, clinic or facility.
- How to score candidate store sites: Compare sites on residents, competitors and neighbours, with an AI score and a reason.
More for Hotels, travel & tourism
- Destination report: the attractions visitors rate best: A monthly report on the attractions visitors rate best in three destinations.
- Small guest houses for my booking software: Small guest houses scored as booking engine buyers.
- How guests rate the hotels next to mine: How guests rate the best hotels next to yours, every week.
- Tour and attraction partners near my hotels: The best tours and attractions near each hotel, with a partnership pitch ready to send.
- Wedding and event partners for my banquet team: Wedding planners and venues scored as partners for your banquet team, every week.
- Corporate travel buyers for my hotel sales team: Companies hiring travel and events staff, with the people who book, in HubSpot.