Quality of Experience Solutions for Telecom Companies

Your network is perfect. So why don’t customers love you? 💔 Telecom delivers five-nines reliability, guaranteeing near-perfect service with less than six minutes of failure annually. It is a remarkable engineering feat. Yet customers barely notice it, and many do not care. In 2024, the global telecom average Net Promoter Score was just 31, placing it at the very bottom of all consumer-facing industries. That number is conclusive. Logistics scores around 38, financial services around 44, and tech platforms often hit 50 or higher. Even more telling are the people who ride our networks and love us more than carriers. In Australia, Telstra’s MVNO brands scored 43.4 NPS, while Telstra itself scored 6.9. In the United States, Consumer Cellular, Inc., a value-focused MVNO, achieved an unprecedented 85 Customer Satisfaction score, far outpacing the national carriers in the high seventies. Why are Telcos struggling with customer satisfaction while other industries and even MVNOs flourish? Because performance is invisible. Customers do not remember uptime or latency. They remember their last bill shock, the hours wasted navigating an IVR, or the frustration of unclear plan details. Research supports this: user satisfaction correlates more with the last interaction than network quality metrics. Whispers of empathy and simplicity echo louder than the hum of a tower. Compare this to platforms like WhatsApp or Netflix. They run on best-effort infrastructure; no guarantees, no SLAs, and yet they are adored. They understood that trust, clarity, and emotion drive loyalty. If telecom operators want to escape the NPS bottom, they must stop leading with specs and start leading with emotional intelligence. They need to transform pricing into a conversation that respects budgeting and trust, make onboarding feel like welcoming friends rather than ticking boxes, and ensure support sounds like a neighbor who cares, not a script that reads. Your network is perfect. Now build a brand that works.

⚡ Why are large corporation service centers still operating like it’s 1999? Walk into any telecom service center in Africa today and you’ll see the same thing: Long lines. Frustrated customers. Agents overwhelmed with repetitive requests. And here’s the part that shocks me most: almost no data is being captured. No record of why people came. No insights on which issues show up most often. No system to learn, automate, and cut the waiting time. 👉 Imagine if instead: Every interaction was logged. Patterns of issues were analyzed. A small, localized AI model (running right there at the edge) could instantly handle repetitive questions: “How do I check my balance?” “Why is my SIM not working?” “How do I upgrade my plan?” Suddenly: ✅ 40–60% of customer traffic is solved automatically. ✅ Customers get answers in seconds instead of hours. ✅ Agents focus only on complex issues where human touch matters. ✅ Telecoms gain data to redesign services, reduce churn, and upsell smarter. This is not about big cloud AI models eating massive compute. This is about lean, efficient, small AI models running locally—fast, affordable, and reliable even when the internet is down. 💡 The truth is: telecom service centers could transform from cost-heavy, frustrating bottlenecks into AI-powered efficiency hubs. The question is not “Can we do this?”—the tech already exists. The question is: “When will telecoms wake up and deploy it?” Because the first players to adopt this model will gain: Higher customer satisfaction. Lower operational costs. A competitive edge no one else can match. What do you think—are telecoms ready to let AI finally fix the service center experience? #AI #EdgeComputing #Telecom #CustomerExperience #Automation #Innovation

Why QoE is the True Measure of Success Deploying 5G is one thing—delivering a great user experience is another. While throughput, latency, and coverage are important, Quality of Experience (QoE) ultimately reflects how well a network serves its users. Key QoE Metrics for 5G: • Video Streaming Success Rate – % of sessions without buffering or drops • Target: ≥95% • Call Drop Rate – Reliability of voice and video calls • Target: ≤1% • Page Load Time / Application Responsiveness – Real-world speed for users • Target: ≤2 seconds average • User Satisfaction Score – Direct measure of experience via surveys or analytics • Target: ≥4.5/5 • Service Continuity During Mobility – Handover success when moving between cells • Target: ≥98% Optimizing for QoE means looking beyond raw network KPIs. It requires AI-driven analytics, continuous monitoring, and proactive tuning of network resources to make sure every user—whether in a dense city center or a moving vehicle—gets a smooth, reliable 5G experience. The takeaway: Throughput and latency matter, but QoE tells the real story. Measuring and improving QoE ensures 5G doesn’t just connect devices—it delivers value to users. #5G #QoE #NetworkOptimization #Telecom #DigitalExperience #UserExperience #AIinNetworks

Delivering video at scale is not a generic CDN challenge. The real challenge is massive live events. I met with Deutsche Telekom and MainStreaming to discuss what really breaks during live streaming for ISPs — and what actually fixes it. The conversation with Miles McWilliams (Deutsche Telekom), Ian F. and Nicola Micali (both MainStreaming) centres on the one metric that matters most: Quality of Experience (QoE). High-concurrency live events put sustained pressure on networks. QoE under peak load cannot be improvised with generic cloud caching. Key points from the discussion: - Live sports at scale remain the toughest stress test for broadcasters - Great QoE drives engagement — and engagement enables monetisation - Real-time performance must be designed in, not added later - Networks matter as much as compute - ISPs and broadcasters perform best in a “better together” model That is why companies like #DAZN Group, #Sky, and others rely on purpose-built, edge-optimised delivery with MainStreaming to sustain QoE during peak live events. Watch the full video (link in the comments) to understand what broadcast-scale video delivery really demands — and why most CDNs were never designed for it. #isps #edgecdn #cdn #livestreaming #broadcaster #livesports

“More than 40% of negative subscriber experiences are invisible to the operator.” That’s the takeaway from my latest podcast with Chris Drake, CEO of Simphonic. We recorded this alongside Simphonic’s April 20 announcement—new independent research, a rebrand from Wadaro, and a strategic push to bring SIM-based intelligence into the center of mobile network operations. Here’s the issue: operators measure network performance… but customers experience something very different. According to research from Chetan Sharma, over 40% of negative experiences—dropped calls, failures, disruptions—never show up in traditional #KPIs. And nearly 60% of those happen at home or work, where churn decisions are made. Chris lays out a clear shift: ➡️ From network-side metrics ➡️ To device-level, SIM-based intelligence ➡️ From periodic testing ➡️ To continuous, real-time experience data “If a user moves to Wi-Fi or a roaming partner, the operator loses visibility—but the customer still blames the carrier.” That gap is where churn starts. Simphonic’s approach—capturing QoE directly from the SIM—gives operators a unified view of the subscriber experience across any network context. It’s a different way of thinking about network intelligence, and one that aligns much more closely with how customers actually experience service. If you’re in telecom, CX, or network operations, this is worth a listen. Learn more: https://simphonic.com/ https://lnkd.in/ghxtG3b6