ZI—01ZONINDEXSpatial Desk
41.062° N 28.992° E, H3 res 8

Your next branch, where your current branches point.

We learn the shared profile of your branches, rank the areas that fit it best and test the result in every report. We run the analysis; you receive the report.

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New branch decisions are often made with a property tour, a hunch and a spreadsheet.

A branch in the wrong place carries rent, fit-out and staff costs for years. The best source on where your business works is the branches you already run.

Location decisions should be testable. We built Zonindex for that.

Learns from your branches, searches the rest of the city.

Every analysis goes through the same four steps. Your branches decide which features matter and how much.

1

We map your branches

Your branch list, with revenue if available, is placed on the 0.7 km² hexagonal cells that cover Istanbul.

2

We learn the shared profile

We describe every cell from six angles: business mix, population and social structure, transit access, people movement, physical texture from satellite imagery, and the cell itself. The model learns the pattern that sets your branch locations apart from the rest of the city.

3

We measure the market

For each candidate we draw a catchment on the real road network: 10 minutes by car, or 5, 10 and 20 minutes on foot. We count residents, daytime density and competitors inside it.

4

We build the shortlist

We apply your must-have conditions: distance to competitors, overlap with existing branches, minimum population. Candidates are sorted into Prime, Strong and Moderate tiers.

Every cell is measured from six angles.

Each map ranks Istanbul's 1,666 urban cells from one angle; a darker shade means a higher value. The model learns from your branches which angles matter for you.

Business mixNumber of businesses nearby
Population and social structureResidents nearby
Transit accessProximity to rail transit
People movementVehicle traffic and rail ridership
Physical texture from satelliteA layer derived from satellite imagery
The cell itselfConsumer businesses in the cell

From 1,667 cells to 116 candidates.

The shortlist narrows in four steps. This example was prepared for demonstration: well-known neighbourhood centres were treated as branches and are marked in black.

The whole city1,667 urban cells
Conditions822 cells pass the conditions
Similarity score822 cells shaded by similarity
Tiers116 candidates: 40 Prime, 46 Strong, 30 Moderate

If the model can't find your branches, we tell you.

In every analysis we hide your branches from the model one at a time and ask it to find them again in the city. The result appears in the first pages of your report.

1%10%15%10%25%39%Random selection: 10% per band64%Lowest score bandHighest1%10%15%10%25%39%Random selection: 10% per band64%Lowest score bandHighest
Each branch falls into one of the city’s ten bands by the score it gets while hidden from the model. Example: a national fitness chain.

Could we have found the three newest clubs in advance?

We hid the chain’s three most recent clubs from the model and reran the analysis as if they did not exist. All three came out in the top tier.

2nd31st47th2nd31st47th

Prime tier, first 117 candidatesThree newest clubsEach square is a candidate cell: the 1,222 cells before conditions, ranked by score left to right, top to bottom. The 116 candidate areas on the opening map are the shortlist left after conditions.

Data from the chain’s public club list. The chain’s name, number of clubs and locations are not shared.

A report you can take to your board as it is.

For every candidate we write the reasoning: where it resembles your branches, where it falls behind, how many people live in its catchment and how many competitors are there.

Candidate file7

Candidate 01

Prime, rank 1. Scores higher than 71 of your branches.
Business mix
Population and social structure
Access
People movement
Satellite texture
The cell itself
Grey band: the middle half of your branches. Dot: the candidate.
Branch 14Business, population
Branch 03Access, cell
Branch 27Business, texture
3 competitors in the catchment. The median for your branches is 1.

Candidate file

One page per candidate: a comparison with your branches and the three branches most similar to it.

ZI—01 Expansion analysis1

New branch candidates

Sample Chain, 10-minute drive catchment
40Prime candidates
64%test result
5 minbranch spacing
019.4P
029.1P
038.8P
048.4P

Executive summary

Four key findings, a map and the top ten candidates.

Catchment8

10 minutes by car

Candidate 01, real road network and Istanbul speeds
273kresidents
712businesses
3competitors
Dark purple dot: the candidate. Black dots: your branches. Blue dots: competitors.

Catchment

How many people, businesses and competitors the candidate is close to.

ReportAn executive summary, a file for each candidate and catchment maps.
ExcelAll candidates, values, reasoning and map links.
Suggested pointThe street in each candidate area where housing and businesses concentrate.

Values on the report pages are illustrative.

We build the score around your business.

Off-the-shelf location scores apply the same yardstick to every business. Zonindex builds a separate model for each company and shows whether that model works.

Off-the-shelf location scoreZonindex
WeightsThe same for everyone, chosen by expert judgementLearned from your branches
AccuracyNot shownA test result in every report; if it fails, the report says so
CatchmentStraight-line radiusMinutes on the road network; the Bosphorus, motorways and coastline count
CompetitorsFrom one source, by categoryFrom several sources, matched by name
RevenueNot usedIf available, learns from your best branches and measures what that adds
OutputA single scoreA tiered shortlist, reasoning, your most similar branches, a suggested point

10 minutes by car from Beşiktaş

The bold line is the area reached in 10 minutes on the real road network; 222,000 people live inside it. The dashed circle has the same area, but 31% of it lies in the sea and 141,000 people live inside it.

  • 10 minutes by road
  • Circle of the same area
  • Cell shade: residents

Competitors in one neighbourhood

Businesses with “döner” in their name in a 4 × 3 km area of Şişli–Mecidiyeköy. A single source finds 10; when we combine sources, 49. Across the city, 502 records grow to 1,707, 3.4 times as many.

  • Single source
  • Other sources
  • Building footprints

You can start with three branches.

If there are not enough branches to build a model, we rank candidates directly by similarity to your branches and present the result as a relative ranking. To strengthen the analysis we can also add branches of other chains with the same positioning as examples.

Black: your three branches. Sea green: branches of chains with the same positioning. Grey: the rest of the city.

We measure the fit

We test whether the added chain really does well in the same kinds of places as you. If it does not fit, we leave it out and explain why in the report.

We count them as competitors too

Branches of the chains we use as examples also count as competitors in the candidates’ catchments.

It gets stronger as you grow

As your branch count grows, the analysis moves to a model that learns from your branches. It can be rerun after every new opening.

A branch list, a report.

1

Your branch list

You send your branch list with addresses or coordinates. Sharing revenue is optional. We place the addresses on the map and check them.

2

Report delivery

We deliver the report, the Excel file and the suggested points to you.

Expansion analysis

For a first project, for chains of any size.

  • Tiered candidate shortlist
  • Validation test
  • Report, Excel and suggested points
Get a quote

Performance analysis

For chains that can share branch revenue.

  • Everything in the expansion analysis
  • A model built on your best branches
  • A test of whether the profile explains revenue
  • Two scenarios: catchment and conditions
Get a quote

Expansion advisory

For chains that open several branches a year.

  • Quarterly update
  • Reviews of new openings after the fact
  • Fast reviews of franchise and rental site applications
Get a quote

We are running pilot projects with our first partners. We discuss the terms in a call.

Do you only work in Istanbul?

For now, yes. We built our data layer for Istanbul at building and street level. Write to us about another city; we prioritise new cities by demand.

Is revenue data required?

No. Branch locations are enough. If you share revenue, the model learns from your best branches and we measure separately what that adds to the result.

How many branches do we need?

You can start with three. As your branch count grows, the model learns on its own the pattern that sets your branches apart from the rest of the city.

Do we still need site visits?

Yes. Zonindex gives you a ranked shortlist of areas to visit, with the reasoning. Rent, property and frontage decisions are made on site.

Set aside 30 minutes for your next branch.

Fill in the form or write directly to info@zonindex.com; we will get back to you within two business days.

We process your details to respond to your request, as set out in the privacy notice.

When you send, your email app opens a ready message to info@zonindex.com with these details.

Write directlyinfo@zonindex.com

Your data stays yoursYour branch and revenue data is used only in your analysis and never goes into another client’s model.
Under contractA confidentiality agreement is signed before any data is shared.
Open sourcesCity data comes from open sources. The report lists each source with its date.