01
Candidate site ranking
Score each site by target-customer reach, visit potential and competitor overlap, not just population density.
Use case / Retail Site Selection
Retail site selection backed by foot traffic, not gut feel
Compare candidate stores by the customers they can reach, the demand around them and the competition they will face. Spotzi combines mobility, household and points-of-interest data so retail teams can rank sites before committing to a lease.
Catchment demand / competitor overlap / target-customer reach
What the analysis improves
Compare sites on demand, reach and risk
A good retail location is more than a busy street. Spotzi scores each candidate against the customers you want and the network you already operate.
From signal to store visit
02
Catchment and drive-time analysis
See how far customers realistically travel and how much demand falls inside five, ten or fifteen-minute catchments.
03
Competitor and co-tenancy context
Map competing stores, complementary brands and destination points of interest that shape visit behaviour.
04
Cannibalisation check
Estimate how a new store could pull visits from existing locations before you add it to the network.
From long list to a defensible shortlist
Start with a market, a set of addresses or a competitor set. Spotzi scores each candidate against the audience you want, the demand around it and the stores already serving that demand. Your team gets a clear shortlist with the evidence to defend it.
What a retail site selection analysis answers
Can this location reach enough of our target customers?
Compare sites by the share of your target audience inside the catchment, not by total footfall alone.
What demand sits inside the catchment?
See how many households, workers and visitors fall within realistic travel times and how that demand changes by daypart.
Who is already competing for that demand?
Map competing stores, complementary destinations and the places customers visit before and after a potential store.
Could a new store take visits from our existing network?
Compare catchments across the network to estimate overlap and cannibalisation risk before a lease decision.
Which site should we prioritise?
Bring the evidence together in a ranked shortlist your property, strategy and finance teams can review together.
Retail site selection questions
What data do you need to assess a site?
A market, candidate addresses or a trade area is enough to start. We combine mobility, household, points-of-interest and competitor data around each location.
Can you compare sites across multiple markets?
Yes. The same method can be applied across cities and countries, provided the required data coverage is available in each market.
What does the output look like?
A typical output includes a ranked site shortlist, catchment maps, target-audience reach, competitor context and cannibalisation indicators.
Do we need our own customer data?
No. Existing customer data can make the analysis more specific, but it is not required to evaluate a market or a candidate site.
Can you include our existing stores?
Yes. Including the current network makes it possible to assess overlap, gaps and the incremental value of a new location.
The decision layer for real-world marketing
Put your next store decision on stronger evidence
Send us a market, a shortlist or a competitor set. We will show you how a site selection analysis would rank the options.
- Privacy-first, without personal profiles
- Precise daytime audience targeting
- Campaign lift measured to the store visit