Service-IQ DMA
Use Cases
Make Customer-Centric Decisions based on Connected Device Intelligence
Service-IQ DMA
Service-IQ Device Management Analytics (DMA) enables MNO network planners, network operations teams as well as product management and marketing teams with real-time insights and ad hoc reporting to ensure device compatibility with mobile networks and track device adoption trends.
Your network rollout and marketing campaign strategies can benefit from data-based decision making that puts your customer first.
Most Popular Use Cases
5G Device-Network Compatibility
Know before you plan.
No one wants to roll out a 5G network that only a few devices in the region can connect to. So, as you prepare to launch your 5G network, your network planning team needs to ensure they can convert customers to your 5G offers after the launch. That requires visibility to existing customers using 5G-capable devices and the 5G bands supported by these devices. Collecting this information from millions of customers is a complex task which has required long cycles of manual data manipulation before seeing any results.
Using Service-IQ DMA’s data exploration, geo-map visualization and subscriber segmentation, network planners can deliver evidence-based decision-making by providing visibility to devices by capabilities, location and 5G band accessibility, identifying device-network compatibility issues.
Plan your network and ensure a smooth conversion of 5G customers to the new network – with the confidence that the available infrastructure can support most device configurations in a specific location.
Device Adoption Campaign
How effective was your campaign in driving device adoption?
Imagine you’re trying to move your inventory of remaining iPhone 11 devices. They are the last non-5G iPhones and you have a window of opportunity to sell them while 5G smartphones are still very expensive.
You can combine Service-IQ DMA’s device adoption and customer segmentation capabilities to quickly identify the leading adopted devices and measure the success of a device promotion campaign. Using the adoption flow breakdown, you can understand which device behaviors characterize iPhone 11 adoption.
In this case, the iPhone 6 and iPhone 6s subscriber bases are good candidates to expand the promotion of the remaining iPhone 11 to a larger audience.
You measure the effectiveness of a pilot campaign, and you learn from it before scaling it to a wider campaign that is targeted to those most likely to respond positively by converting to the iPhone 11. You reduce inventory costs and don’t waste campaign dollars promoting the iPhone 11 to audiences who don’t show an adoption trend towards that device.