Location intelligence and site analysis
Location Intelligence Services
Location-based market and competitor analysis that turns coordinates into a ranked, defensible recommendation.
- Restaurants · 34
- Cafés · 22
- Retail · 26
Overview
From “where are things” to “where should we be”
Location intelligence is the step after mapping. A map tells you where competitors are; location intelligence tells you which of your candidate sites has the best combination of reachable demand, competitive pressure and accessibility, and by how much.
The method is deliberately transparent. Every candidate location gets a score built from named, weighted components, and you can see how each component contributed. If you disagree with a weighting, we change it and re-run, and you watch the ranking respond.
That matters because the output is usually used to justify a lease, a closure or an expansion budget. A black-box score does not survive that conversation. A documented one does.
Sample output
The same data, mapped
A static preview rather than an embedded map SDK, so the page stays fast. Interactive maps are built on request as part of a visualization project.
- Restaurants · 34
- Cafés · 22
- Retail · 26
Scope
What the analysis covers
Components are selected for your category. Not every business is driven by the same factors.
Catchment definition
Drive-time, transit-time and walking isochrones computed on the real road network.
Reachable population
Residents, workers and households inside each catchment, apportioned properly rather than by centroid.
Demographic profile
Age, income, household composition and other census attributes for each catchment.
Competitor mapping
Every competing venue located, categorised and weighted by size or popularity.
Saturation index
Competitive supply per unit of reachable demand, comparable across candidate sites.
Demand generators
Offices, transit hubs, schools, hotels and anchors that drive footfall to a location.
Accessibility scoring
Road access, transit proximity, walkability and parking availability.
Cannibalisation estimate
For existing networks, how much a new site would draw from your own locations.
Gap analysis
Areas with demand but thin supply, ranked by opportunity size.
Weighted site score
A transparent composite score with the contribution of each component shown.
Output formats
Delivered the way your stack expects
- Scored shortlist
- A ranked table of candidate sites with component scores and total.
- Site profiles
- One page per candidate: catchment map, demographics, competitors and verdict.
- Interactive map
- All layers in a browser map so stakeholders can explore the reasoning.
- Spatial layers
- Catchments, competitor points and scored zones as GeoJSON or Shapefile.
- Decision report
- Method, weights, findings, recommendation and the risks in the recommendation.
Use cases
What clients use it for
Sample dataset
What you actually receive
Sample project data. Site D has the second-largest catchment but the weakest position once competitive saturation is taken into account.
| Site | Pop. 10 min | Competitors | Saturation | Accessibility | Score |
|---|---|---|---|---|---|
| Site A · Midtown | 96,400 | 14 | 0.42 | 8.6 | 82.4 |
| Site B · Riverside | 71,800 | 6 | 0.21 | 7.4 | 79.1 |
| Site C · Airport Rd | 48,200 | 3 | 0.16 | 6.1 | 64.7 |
| Site D · Old Town | 88,100 | 22 | 0.71 | 8.9 | 61.2 |
| Site E · Northgate | 39,600 | 5 | 0.34 | 5.2 | 48.9 |
How it works
Five steps, every project
- Step 01
Tell us what data you need
Share your candidate locations, your category and what a good site looks like to you.
- Step 02
We define the data scope
We agree catchment definitions, scoring components and their weights before any analysis.
- Step 03
We collect and process the data
Competitors, demographics, networks and demand generators are assembled for each catchment.
- Step 04
We validate the dataset
Scores are tested against your existing locations, where you have them, as a sanity check.
- Step 05
We deliver the final result
A ranked shortlist, site profiles, map layers and a written recommendation.
Quoted on the number of candidate sites, catchment complexity and data availability in the market. Tell us how many locations you are weighing up and you get a fixed price against a written scope.
FAQ
Questions we get asked
What is location intelligence?
The practice of using location data to answer business questions: who can reach a site, who competes for them, and which option is strongest. It differs from mapping in that the output is a ranked, quantified recommendation rather than a picture.
Do I need to supply candidate locations?
No. If you have a shortlist we score it. If you do not, we run a screening pass across a whole city and return the strongest areas first, then score specific addresses within them.
How do you define a catchment?
By travel time on the real network: drive time, transit time or walking time, depending on how customers actually reach your category. Straight-line radii are only used when a network is unavailable, and we flag it when that happens.
Can you use our own sales data?
Yes, and it makes the model considerably stronger. Existing location performance lets us calibrate weights against observed outcomes instead of assumptions. Your data stays yours and is not reused on other projects.
How long does a study take?
A single-city shortlist of up to ten sites is typically two to three weeks. Multi-city or multi-format studies take longer, mostly because agreeing the scoring model deserves proper attention.
What if the data disagrees with our instinct?
We show you why, in components. Often instinct is picking up something real that the model does not include, in which case we add it. Sometimes it is picking up visibility rather than demand. Either way the disagreement is where the value is.
More services
Often combined with
Street View Data
Large-scale street view imagery collection, processing and structured dataset delivery.
Learn MoreSemantic Segmentation
Pixel-level image analysis that turns imagery into counted, measured classes.
Learn MorePOI Data
Business and point-of-interest records with categories, coordinates and attributes.
Learn MoreKeep exploring
Where to go next
Related services
- POI DataBusiness and point-of-interest records with categories, coordinates and attributes.
- Heatmap AnalysisDensity, distribution and hotspot analysis that stands up to statistical scrutiny.
- GIS AnalysisSpatial analysis and geographic data processing, from overlays to network models.
- Geospatial DataLocation, road, boundary and land-use datasets, cleaned and projected correctly.
Related reading
- What Is Location Intelligence?Mapping shows you where things are. Location intelligence tells you which option is stronger, by how much, and for what reason.
- How Businesses Use Location DataNot dashboards. Seven specific decisions where location data changes the answer, and what it costs to get there.
Next step
Have a specific data requirement?
Tell us the geography, the fields and the cadence you need for location intelligence. You get a scoped plan, a sample and a fixed price before any work starts.