EINBLIQ.IO for Operators
Application-level QoE Insights
From Mbps to Experience
Understand, benchmark, and improve network experience from the user’s point of view.
QoE-based analytics that turn streaming data into actionable insights for operations, planning, and marketing.
Why speed tests don’t tell the full story
Synthetic
Speed tests measure raw throughput, not user experience on the screen.
Temporal probing
Speed tests are not representative and miss congestion during live peaks.
No delivery insight
Speed tests ignore CDN capacity, peering, and routing quality that define real user experience.
No business linkage
Speed tests don’t tell operators where to invest for the best subscriber impact.
How EINBLIQ.IO works
Collect and aggregate (privacy-safe)
We process millions of real streaming sessions across multiple OTT services, together with participating streaming partners who agree to collaborate on operator QoE insights.
All data is aggregated, pseudonymized, and standards-based (CMCD, CMSD).
No personal or customer-identifiable information is ever shared. Streamers and end-user remain fully in control of what’s analyzed.
1
Analyze, detect, and validate patterns
We group aggregated data by region, time, CDN, and access network to uncover meaningful trends and local experience patterns.
Machine learning continuously scans these datasets for anomalies and deviations. It can reveal sudden QoE drops on specific routes or during live peaks.
When such clusters appear, AI agents automatically investigate and validate them. They check correlations across peering links, CDNs, and time windows, ensuring only relevant findings are surfaced for review.
2
Turn experience into actions
Validated insights are then transformed into clear, actionable findings for network and planning teams. Operators can detect regional issues faster, prioritize CapEx where it matters, benchmark against competitors, and verify the impact of optimization measures.
Collaborative optimization between operators and streaming services leads to tangible results: Fewer incidents, happier users, and more efficient networks.
Our framework is already expanding to gaming and real-time communication applications, making QoE scoring for operators more complete and representative of overall user experience.
3
Key use cases for operators
Operate
Detect and fix fast
Spot local or temporal QoE drops in near real time and identify the likely cause (peering, CDN, last mile, or Wi-Fi).
Plan
Invest where it matters
Prioritize upgrades by their measurable experience impact. Optimize peering and caching strategy based on QoE outcomes.
Compete
Benchmark & prove differentiation
Compare QoE per region and time against competitors using defensible, standards-based data.
Market
Communicate experience
Launch an “Experience Index” or QoE-based offers backed by real user perception, not synthetic tests.
Care
Deflect support tickets
Use proactive communication when large-scale events affect experience, reducing inbound load.