Your CMO wants to launch a new subscription plan. The revenue forecast looks great. Your CTO looks at the same plan and says the network is not ready for it. Who is right?
Today, that is a hard question to answer before launch. So most operators launch first and find out later, from congestion, complaints, and churn, when the plan is already live and fixing it means unplanned CapEx.
Why simulating a subscription plan is so hard
To settle the CMO versus CTO question properly, you have to simulate two things at once and connect them:
- The demand the plan will create - which subscribers take it, where they are, and how much extra traffic they generate across the day.
- What your network can actually deliver - the capacity, spectral efficiency, and quality of experience of every cell, at the busy hour and off-peak.
Then you have to weigh the plan's expected revenue against the additional CapEx needed to serve that demand without degrading quality of experience. Doing this precisely, cell by cell, is slow and effort-intensive. Traditional network capacity planning leans on spreadsheets and cell averages, which miss where and when congestion actually happens, so the revenue-versus-CapEx picture ends up a guess. Most teams simply cannot produce it in the time a launch decision allows.
Two digital twins: your network and your subscribers
We build two digital twins of your network and connect them.
The Network Digital Twin knows what every cell can deliver across the day: its capacity, spectral efficiency, and the quality of experience (QoE) your subscribers get.
The Subscriber Digital Twin knows who is on each cell, which subscription plan they are on, and what they are worth.
Then we simulate how the two interact, so the demand a plan creates meets the capacity your network can supply, at cell and hotspot level.
Simulate the plan before you launch
With both twins connected, you can test a new subscription plan before it goes live and predict:
- Where it will congest, down to the cell and hotspot.
- When it will bite, including the busy hour.
- Which subscribers and plans it degrades, and the revenue at risk on your other plans.
- What it takes to fix it - zero-CapEx optimizations first, then the CapEx to expand capacity where it is still needed.
The business case, aggregated across the network
Every per-site recommendation rolls up into one business case for the whole network: the plan's revenue forecast against the CapEx it will actually require, with the ROI. So you can decide whether the plan is worth launching, and tune it to a healthy ratio, before you commit a single cent. This is smart CapEx in practice: every dollar aimed at the revenue it protects.
You can also run it in reverse. Tighten a plan's policy and see how much capacity you free, and where. The twin finds the optimal setting: the most capacity released for the least revenue at risk. And every prediction comes with the reasoning behind it.
See it on your network
The Subscriber Digital Twin is part of our Smart CapEx CoPilot solution and enhances its capabilities. If you are interested, we would love to show you what it does on a network like yours. Explore the AI Powered Digital Twin or book a demo.
