Universities for a student account campaign
Universities ranked by young people around and branches near.
What it does
Before the academic year: universities in your cities with how many young people live around each, and the bank branches near, ranked for a student account campaign.
In one sentence: Monthly on the 1st at 08:00, in Chennai and Bangalore, find universities and colleges in the area, count who lives around, count the banks within 1 km of each, work out new fields, sort them by young and keep the top 20, then email the list to you.
Why it is useful
Students choose their first bank at university. The campaign goes where they are.
Who it is for
Banks, lenders & insurance. Banks, lenders, insurers and payment companies finding merchants, checking risk and planning branches. Every use case for banking & lending
Best use cases
- A retail bank
- A digital bank
- A student card issuer
What each run gives you
- An email
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 120 minutes each time; it runs about 1 time a month, so it saves about 2 hours a month (an estimate). It is medium: 8 blocks.
The flow, block by block
- On the 1st of every monthTrigger · ScheduleStarts the flow on a timetable.
- My citiesWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- UniversitiesxMap 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).
- Bank branches 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.
- Students aroundLogic · Calculated fieldAdds fields worked out from the others: a number, a text or a yes/no.
- Best 20 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.
- 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
- 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.
- An instant site report of any spot: Paused for now while xMap improves the data behind it. Reports already made still open.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- Catchment area: The area a store or service draws its customers from.
- Drive time vs radius: Two ways to draw the area around a site, and when each is good enough.
More for Banks, lenders & insurance
- Approved garage network for my claims team: Garages vetted by an AI agent and scored for your claims network, approved every month.
- Unbanked hotspots for my agent network: The most populated blocks with the fewest banks and agents, every month.
- Branch network review: which branches the area needs: A monthly review of which branches their area needs, with a note for the committee.
- Growing small companies for my business loans team: Small companies that are hiring, sized and scored for a working capital loan.
- New shops likely to want card payments: New shops likely to be cash only, given to the nearest sales agent every weekday.
- Busy places with the fewest ATMs nearby: Busy malls, markets and supermarkets with the fewest ATMs around, every month.