Campuses with the most students nearby, for promos
Campuses ranked by the students living nearby, for promos.
What it does
Every semester: universities and colleges in your city with the students living around them, ranked by xMap AI for campus promotions, emailed with a map.
In one sentence: Monthly on the 1st at 08:00, in Hyderabad, find universities and colleges in the area, count who lives around, work out new fields, score and rank them with xMap AI, sort them by fit score and keep the top 10, then show them on a map and email the list to you.
Why it is useful
Students order often and talk to each other. Promos near the right campuses spread fast.
Who it is for
Food delivery & quick commerce. Delivery apps, quick commerce and courier operations signing restaurants and shops, placing dark stores and keeping riders safe and on time. Every use case for food delivery & quick commerce
Best use cases
- A food delivery app
- A snack brand
- A student discount app
What each run gives you
- A map
- An email
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 60 minutes each time; it runs about 1 time a month, so it saves about 1 hours a month (an estimate). It is medium: 9 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.
- Universities and collegesxMap 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.
- Who lives aroundxMap 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).
- Students nearbyLogic · Calculated fieldAdds fields worked out from the others: a number, a text or a yes/no.
- Score each campus with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- Best 10 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.
- Show them on a mapAction · Show on a mapShows the results as points on a map, with the area of interest.
- Email me the listAction · EmailSends one email per run with all the items, or one email per item.
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 Food delivery & quick commerce
- Well-loved restaurants that likely do not deliver yet: Well-loved restaurants likely without delivery, with the owner.
- Where to put the next dark store: Blocks with many people and few shops, for the next dark store.
- Rider rest hubs where restaurants cluster: Spots where restaurants cluster, for rider rest hubs.
- Field sales routes to sign up new restaurants: New independent restaurants shared between your field reps in the best visiting order.
- Independent grocers, butchers and fruit shops for quick commerce: Independent grocers, butchers and fruit shops graded as partners.
- Office clusters for a lunch subscription: Office clusters for a lunch subscription, with the office manager.