Video Quality of Experience (QoE)
Real time, standardized QoE data across every major media player on every major device platform
For your monitoring and dashboarding, across both ads and content, enable collection of the most granular level of events during media player usage.
Key events: playback for session start, media request, buffer start / end, playback start, thresholds, heartbeats, milestones, and playback / session end.
Additional events: network changes, casting start / end, rendition changes, player size changes, seeks, errors, and stalls.
Across all events within app, content and ad sessions, access a broad set of dimensions for root cause analysis.
Examples:
Player state / viewability / size / name / version
Playback rate / frame rate
Network type / bandwidth / client IP address
Error codes / messages
Streaming protocol / type, rendition size / name
Device name / info / type / version / user agent (and browser info, if applicable)
Asset URL / ID (for ads: advertiser, creative, ad systems)
Geo location
End-to-end observability with distributed tracing
Following the standard developed by CTA-WAVE and SVTA, distributed tracing from Datazoom provides a way to link session data between CDNs and media players to better understand root cause analysis for individual streams.
Enhance app performance monitoring tools with media player performance data
Reliability teams often rely on application performance monitoring (APM) tools to optimize the performance of their apps. Datazoom’s media player integrations help video publishers obtain a full view of a user’s experience of performance across the app and the media player.
For example, Datazoom customers can log New Relic session IDs into Datazoom data streams to enable an integrated New Relic experience across their natively collected data and media player data collected by Datazoom.
Prioritize QoE issue resolution by revenue impact
Using Datazoom’s built-in enrichment, ad and sales revenue can be added as a dimension to any event in the app, content and ad sessions that Datazoom automatically tracks.
Change what and how much is collected on demand
To stay agile, QoE teams can use Datazoom to set sampling rates to only collect the minimum amount to properly monitor the user base. When issues do arise, log in to increase the sampling rate and the types of events to capture by device, player, network, or asset dimensions to capture enough data to pinpoint the issue.
Compare Datazoom with Popular Video Analytics Tools
| Features and Capabilities | 
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| Flexibility | ||||||
| Change Data Heartbeat Frequency Anytime | ||||||
| Change Collected Data Points Anytime | ||||||
| Collector Ecosystem | ||||||
| Configurable Analytics Connectors (no API integration required) | ||||||
| Exposes API to Export Metrics | ||||||
| 1-to-Many Real Time Data Routing via Connectors | ||||||
| Adjust Connector Sample Rate Anytime | ||||||
| Scalability | ||||||
| Core Video Player Event-Level Data Collection And Access | ||||||
| CDN Log Data Collection | ||||||
| Unlimited, Self-Configured, Custom Data Collection | ||||||
| Real-time Data Enrichment | ||||||
| Roadmap to End-to-End Data Collection | ||||||
| Reliability and Data Governance | ||||||
| Rigorous Event-Level Data Lag Monitoring (With SLA) | ||||||
| Automated Data Quality Checks | ||||||
| Data Backup and Disaster Recovery | ||||||
| Compliance Certifications (e.g., SOC 2, GDPR) | ||||||
| Compliance Certifications (e.g., SOC 2, GDPR) | ||||||