Use case · Coverage and competition

See your coverage and your competitor's, on one map

Coverage analytics and competition analysis on the same geography. neo360 puts your own network coverage next to competitor presence, splits it band by band, and scores network potential by quality, so you can see where a coverage gap and a real opportunity line up.

Get a demo →

The question

Where am I covered, and where are they?

Coverage is rarely the whole story on its own. The question that drives a build or a defend decision is comparative: where does my network reach, where does a competitor reach, and where does neither of us serve a market that is worth serving?

When coverage data sits in one system and competitive intelligence sits in another, that comparison never happens cleanly. Teams export the same coverage into different spreadsheets, and the overlap that actually matters, the gap where opportunity and weak coverage meet, stays invisible.

What you see on one map

Coverage and competition, side by side

Own coverage

Your existing network coverage

Your coverage rendered on the geography you operate, from site and sector data through to grid-level detail.

Competition

Competitor presence on the same map

Competition analysis overlays competitor presence on the identical geography, so the comparison is read off one view rather than reconciled by hand.

Band-wise

Coverage split by frequency band

Band-wise coverage analytics break the picture down per band, so strength and weakness are visible where they actually occur.

Site & sector

Site and sector coverage

Site management, sector management and site-coverage analytics tie the map back to the assets that produce it.

neo360 · Network potential by coverage quality
TAC 21418 · 1,000 grid cells at 500 m · 250 km²
48 sites, 141 sectors in area · own coverage from OSS and network inventory · competitor presence from crowd-sourced samples · scored 2026-07-31
91 CELLS UNSERVED
by either network · 9.1% of the grid

Own coverage quality class by grid cell

ClassRSRPCellsShare
Good≥ −95 dBm41241.2%
Moderate−105 to −9533133.1%
Poor−115 to −10511511.5%
No coverage< −11514214.2%
all cells1,000100%

Competitor presence same grid, same classes

ClassSamplesCellsShare
Good61,48038838.8%
Moderate44,91034434.4%
Poor12,73012112.1%
No coverage014714.7%
all cells119,1201,000100%

Own against competitor served = good or moderate

Cells whereCellsShareReading
both networks serve56656.6%contested, defend on quality
only we serve17717.7%held, price and retain
only they serve16616.6%lost, needs a build case
neither serves919.1%open market, rank by demand
all cells1,000100%

Band-wise coverage cells served per band, own network

BandCells servedShare of gridSectors
n70069069.0%39
1800 MHz60460.4%42
2100 MHz51251.2%30
2300 MHz38838.8%21
n350017117.1%9
any band74374.3%141
grid resolution 500 m area codes LAC 4127 · TAC 21418 route cells on NH corridors 84 refreshed weekly
Fig. · Network-potential summary as neo360 scores one tracking area. All cell counts, quality classes, sample counts, band splits and competitor figures are illustrative and describe no real network, operator or customer.

Why it lives in neo360

Telecom geo-analytics, not generic BI

neo360 is built for telecom rather than assembled from a general analytics tool. Site, sector and coverage analytics, LAC-RAC-TAC area analysis, band-wise coverage and network-potential analysis are built in, on a map-centric platform that fuses geo and business data on a single view.

Because coverage, competition and the underlying network inventory share one platform, the comparison is not a quarterly export. It is the working surface, with the same coverage your planning teams trust feeding the competitive view your strategy teams read.

From a coverage gap to a network-potential score

A gap on the map is a starting point, not a decision. neo360 scores network potential by quality, classifying areas as good, moderate or poor, so a gap can be weighed before anyone commits a build.

That turns the overlap of weak coverage and competitor presence into something rankable: which gaps sit on routes, highways or railway corridors that carry demand, and which are gaps in name only.

Your coverage and theirs, resolved on one map.

Own coverage and competitor presence read off the same geography, with the gap that neither serves outlined for you. The comparison your strategy teams need stops being a manual reconciliation and becomes a view.

How it comes together

One platform, many sources

The coverage and competition view is fed by the same fused data layer the rest of neo360 runs on. Network coverage sits alongside OSS, call records, inventory, CRM, voice of customer and crowd-sourced data, so the map you benchmark on is the map your operations already trust.

What seeing both at once changes

  1. 01

    Benchmark on shared geography

    Own coverage and competitor presence on one view, instead of two systems and a manual reconciliation between them.

  2. 02

    Read gaps by band, not by guess

    Band-wise coverage shows where a weakness actually is, so the gap you act on is the real one.

  3. 03

    Rank where to build next

    Network-potential scoring by quality turns a list of gaps into a ranked view of where coverage and opportunity overlap.

Proof

Running in a live telco deployment

neo360 is an active product, deployed live with Vodafone. The coverage and competition analytics described here are part of the same telecom geo-analytics platform now in operational use.

Live deployment Vodafone neo360 in operational use with a live telecom operator.
  • Site coverage
  • Band-wise
  • Competition
  • LAC-RAC-TAC
  • Grid-level
  • Net potential
Get started

See coverage and competition on your own network.

Bring your coverage and a market to benchmark. We'll walk through coverage and competition analysis on neo360.

Get a demo →