Where to put a pop-up shop this month
The five best spots for a one-month pop-up shop.
What it does
Every month: the busiest malls, markets and shopping streets in your city, each with how many people live around it, scored by xMap AI for a one-month pop-up, with the best five sent to the brand manager.
In one sentence: Monthly on the 1st at 08:00, in Amsterdam, find shopping malls, markets and outlet malls in the area, count who lives around, score and rank them with xMap AI, sort them by fit score and keep the top 5, then email the list to you.
Why it is useful
A pop-up lives or dies by footfall. Ranking spots by people and ratings picks the right one.
Who it is for
Retail & franchise expansion. Expansion, real estate and network planning teams deciding where the next store or franchise goes. Every use case for retail & franchise
Best use cases
- A fashion brand
- A direct-to-consumer brand testing stores
- A cosmetics brand launching a range
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: 7 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.
- Busy shopping spotsxMap 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).
- Score each spot with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- Best 5 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
- 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 Retail & franchise expansion
- Expansion committee pack, every month: A monthly expansion committee pack: every block scored, the best 20 investigated, approved, mapped.
- Score every neighbourhood for a new branch: Every block of your city scored for a new supermarket, the 20 best on a map.
- Where my rival is and I am not: Every rival branch with none of yours within 2 km, with who lives around it.
- New homes with no supermarket yet: New apartment buildings with no supermarket nearby, scored as places for your next store.
- Busy stations with no convenience store: The train and metro stations with the fewest convenience stores around them, scored for a new one.
- Stores competing with each other: Your stores that sit within 1 km of each other, with the people around them.