TWO OUTPUTS, ONE DECISION
WHERE SHOULD IT OPEN
HOW MUCH REVENUE
Analyses are produced from your own store and revenue list.
RETAIL
Where should the next store open?
In the retail sector, accurate location selection, store performance and customer satisfaction are critical. Next Geo helps retail companies optimize their location-based strategic decisions with its powerful data infrastructure and AI-powered technologies.
THE QUESTION ON THE SECTORS PAGE “Where should the next store open, and how much revenue will it make?” A retail analysis answers both halves of that question together; the candidate list below brings them into a single ranking.
- 4ANALYSIS TITLES
- 3SOLUTION PAGES
- 3RANKED CANDIDATES
All three numbers can be counted from this page: the four analysis titles below, the three distinct solution pages those titles link to, and the three candidates ranked in the list below.
THE RANKING
Three candidates, one ranking.
This is what the two outputs above look like once they meet in a single table: candidates ordered on one location score, with the revenue expectation sitting beside each row. Open the top row and that candidate’s surroundings and recommended store format appear as well.
| RANK | CANDIDATE LOCATION | LOCATION SCORE | REVENUE INDEX |
|---|---|---|---|
| 01 | KadıköyHigh street | 87 | 118 |
| 02 | AtaşehirMall | 82 | 109 |
| 03 | GöztepeHigh street | 79 | 104 |
| The score comes from the population, consumer profile, competition and access layers around a candidate; no single layer decides it on its own. On the revenue index, 100 is the average of your existing store network. | |||
THE TOP ROW, OPENED UP · KADIKÖY, RANK 01
- Population, 10-minute drive
- 84,300
- Competing stores in the band
- 6
- Dominant household type
- Urban nuclear family
- Recommended store format
- High street · compact
- Revenue index (network avg. 100)
- 118
Two stores in the same network do not have to run the same format. Both the format recommendation and the store’s share of the annual target are read off the surroundings data on this row.
Sample output. Figures are illustrative. The Kadıköy score and the 10-minute drive population are the same figures as the sample analysis on the home page; the remaining fields belong to this page’s sample candidate list.
VALUES WE OFFER
Four analysis titles for retail.
Each one lands on a named Next Geo solution. The whole row is the link to that page; there is no separate “more info” line.
THE FIRST HALF OF THE QUESTION
Where should it open?
Which street, which mall, which store format: the population, consumer profile and competition around a site put the candidate list in order.
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Store Location Selection
Identify the most suitable streets and shopping malls for your brand’s investment criteria with Next Geo’s rich data library, developed next-generation technology, and experienced staff.
Location and Area Selection -
Store Segmentation
Each store is nourished by the customer profile in its region. Determine the most accurate store segment and product diversity by analyzing the consumer profile around the store.
Segmentation solution
THE SECOND HALF OF THE QUESTION
How much revenue will it make?
The relationship between your existing stores’ revenue and what surrounds them gives a new candidate its revenue expectation and its annual performance target.
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Revenue Forecasting
Statistically reveal the relationship between the revenue performances of your existing stores and the demographic structure and competition in their locations, and make predictions about the revenues of new locations with our advanced data analytics methods.
Forecasting solution -
Performance Targeting
What should be the share of a store within your company’s annual targets? Determine the most accurate performance target for the relevant store by analyzing the potential around the store with Next Geo’s data analytics solutions.
Target and potential models
The titles and their descriptions are the same ones listed on the Retail card on /en/sectors/. The “Where” and “How much” split is a reading order, not a separate product family: all four titles run on the same data infrastructure. The last two rows land on the same solution page, because a revenue estimate and the annual target read off it are two outputs of one model.
HOW WE START
From your store list to a ranked candidate list.
Three steps. Behind each one is a named Next Geo solution or product; there is no surprise layer in between.
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01
Addresses become points
Your store list arrives as addresses; it is matched, enriched, deduplicated and verified. As long as one store sits on the wrong coordinate, everything said about its surroundings is wrong.
- Matching
- Enrichment
- Deduplication
- Verification
-
02
Revenue is matched to surroundings
The relationship between your existing stores’ revenue performance and the demographic structure and competition in their locations is derived statistically. A candidate’s revenue expectation comes out of that relationship, which is why we ask for a revenue list alongside the address list.
- Population
- Household profile
- Competition
- Access
-
03
Candidates rank, targets follow
High-street and mall candidates are ranked on a single score. Which candidate opens in which format, and what share of the company’s annual target that store carries, are both read off the ranking.
- Candidate list
- Segment card
- Performance target
If your candidate list moves between high streets and malls, the same infrastructure works there too: Next Geo’s Real Estate sector page counts “Retail Street and Mall Analysis” among its own analysis titles.
NEXT STEP
Let’s choose your next store together.
Let’s decide together which dataset and which analysis title your store network needs.