Senior Solutions Engineer Motive Software Solutions Pittsboro, North Carolina, United States
Most US cable and fiber operators have built their TR-369 telemetry infrastructure to solve a support problem, and the data collection sits in a large data lake repository. The pipelines are running. The diagnostics are live. The proactive care workflows are in place. That investment was correct-and it quietly created something most operators haven't fully recognized: a real-time CPE behavioral dataset that is more predictive of subscriber revenue potential than anything sitting in their ticketing or billing system.
This session is about the granular readiness of data already being collected. USP/TR-369 telemetry signals (throughput utilization patterns, session consistency, device ecosystem complexity, QoE trajectory over time) do more than indicate subscriber struggles; they identify subscribers who are underserved relative to their actual consumption behavior, indicated by their needs for mesh and extender configurations, and a predictive product journey. The CPE layer can visualize these months before a billing event, a support call, or a ticketing system flag would typically surface it.
Join us to discuss how operators have operationalized this within a single release cycle. Learn from production deployments how segments are constructed and refreshed from live USP captures and why operators are rethinking their approach to understanding subscriber behavior.
Audience Takeaways:
The specific USP/TR-369 device data clusters that distinguish a subscriber ready to upgrade from one at risk of leaving, and why this read precedes CRM visibility by weeks to months in a production US deployment
Why vendor-agnostic, multi-fleet CPE telemetry produces a more complete and actionable segmentation model than ecosystem-locked subscriber intelligence platforms
The one question every operator should ask a vendor before committing to a subscriber intelligence capability: "Does this work across my entire CPE ecosystem?"
