TELECOMMUNICATION
Where next, and what drives performance?
THE QUESTION ON THE SECTORS PAGE
“Where should the store open, and how will it perform?”
In the telecommunications sector, location is a decisive factor in all stages, from infrastructure investments to commercial marketing activities. Next Geo helps you accurately plan your investments and increase your efficiency with its robust database and AI-powered technologies.
- Analysis titles
- 4
- Distinct solution pages
- 4
- Sample output panels
- 2
- Steps to start
- 3
All four numbers can be counted from this page: the four analysis titles in the table below, the four distinct solution pages those titles link to, the two panels in the “Sample output” band, and the three steps in the last section.
VALUES WE OFFER
Four analysis titles, tailored for telecom.
The question has two halves, and so does the table. Each of the four titles lands on a named Next Geo solution — and all four land on four different ones.
- WHERE
- Which region, which channel: the surrounding population, the demographic and telecommunications statistics, and what competitors are doing region by region put the candidate list in order.
- HOW WELL
- Your existing stores’ performance data is statistically correlated with environmental data; the weight each factor carries, and what can be expected of a new point, comes out of that.
| ANALYSIS TITLE | WHAT COMES BACK |
|---|---|
| WHERE | |
| Location Selection Analyses | Candidate list |
Determine the most accurate locations for your retail sales stores using Next Geo’s advanced location analysis models. Location and Area Selection | |
| Competition Reports | Competition Report |
Monitor competition on a regional basis by regularly tracking your competitors’ store openings, closures, and relocation transactions across all channels on a monthly basis. Reporting | |
| HOW WELL | |
| Performance Prediction | Factor weights |
Identify the factors affecting store performance and their coefficients by statistically correlating the performance data of your existing stores with environmental data. Forecasting | |
| Store Segmentation | Store segments |
Define your region and store-based segments using the region’s demographic and telecommunications statistics. Segmentation | |
The Where / How well split is a reading order, not a separate product family: all four titles run on the same data infrastructure. The four outputs in the “What comes back” column are listed again in the third step of the last section of this page.
THREE OUTPUTS
Three titles, three separate outputs: one says where to open, one how the network divides, and one where the competition is moving.
SAMPLE OUTPUT
Where competition moved, and what drives performance.
The first panel shows three months of competitor movement across a list of regions; the second shows which factors set store performance, and with what weight. Both are outputs of the four analysis titles above.
STORE COUNT AND CHANGE, BY REGION
| REGION | OWN | RIVAL | LAST 3 MONTHS |
|---|---|---|---|
| Kadıköy | 2 | 7 | +2 openings |
| Pendik | 2 | 6 | no change |
| Ümraniye | 1 | 5 | +1 relocation |
| Maltepe | 1 | 4 | −1 closure |
| Kartal | 0 | 3 | +1 opening |
The Competition Report tracks rival openings, closures and relocations across all channels, month by month. The highlighted row is the region where you hold no point and a competitor is still opening one; a candidate list usually starts there.
FACTORS AFFECTING PERFORMANCE, AND THEIR WEIGHTS
- Surrounding population (10 min drive) +0.34
- Competitor store density −0.26
- Access and passing traffic +0.18
- Surrounding business density +0.14
- Household profile +0.08
THE MODEL’S ESTIMATE FOR A CANDIDATE Index 112 Sample candidate · Ümraniye · network average = 100
The weights are computed from your own store performance data; the ones here are a sample. A minus sign means the factor pushes performance down. The index is not a currency figure: 100 is the average of your existing store network.
Sample output. The figures are illustrative. Real reports are produced from your own store and performance list.
HOW WE START
From your store list to factor weights.
Three steps. Behind each one is a named Next Geo solution; there is no surprise layer in between.
01 · INPUT
Your channel list becomes points
Your store and dealer list arrives as addresses; it is matched, de-duplicated and verified. As long as one point sits at the wrong coordinate, everything said about its surroundings is wrong.
- Matching
- Enrichment
- De-duplication
- Verification
02 · CORRELATION
Performance data meets its surroundings
Your existing stores’ performance data is statistically correlated with environmental data.
- Population
- Household profile
- Competition
- Access
- Business density
03 · OUTPUT
Weights, candidates and segments come out
Factor weights are computed; candidate points are ranked against that model, existing stores are split into region and store-based segments, and competitor movement is written over the top of it every month.
- Factor weights
- Candidate list
- Store segments
- Competition Report
Location is decisive at every stage, from infrastructure investments to commercial marketing activities. The four titles on this page cover the commercial channel — the store and dealer network; an infrastructure point list goes through the same matching, de-duplication and verification as step one.
NEXT STEP
Let’s model your telecom channel together.
Strengthen your infrastructure and marketing strategies with AI-powered analytics. Let’s decide together which dataset and which analysis title your network needs.