Track Billions of Heartbeats. Zero Event Overage Fees.
Streaming analytics at warehouse scale. Analyze video heartbeats, buffer rates, and quality of service (QoS) without the event-volume pricing tax of legacy tools.
Streaming Ops Dashboard
Live QoS Monitoring
284,721
4.8 Mbps
0.12%
2.4M
Minutes Watched
94.2%
Completion Rate
1.2s
Startup Time
4K
Peak Quality
Trusted by companies worldwide
The Media Pillars
Purpose-built analytics for streaming services and media companies—from content performance to viewer retention.
Content ROI
Which shows drive the most signups? Attribute subscription revenue to specific titles to know exactly which content justifies the production cost.
QoS & Churn
Does buffering cause churn? Correlate technical Quality of Service (QoS) metrics like 'Startup Time' directly with user drop-off rates.
Binge Analysis
Visualize session depth. See how many episodes a user watches in one sitting and identify the 'Hook Episode' that converts them to a fan.
Personalize Recommendations.
Group users by genre preference. If they watch 'Sci-Fi,' what else do they buy? Use warehouse data to build smarter recommendation segments.
- Cluster viewers by content affinity patterns
- Identify cross-sell opportunities between genres
- Build data-driven recommendation engines
- Export segments to personalization tools
Genre Affinity Heatmap
User overlap between content categories
| Sci-Fi | Drama | Comedy | Action | Documentary | |
|---|---|---|---|---|---|
| Sci-Fi | 100% | 42% | 28% | 65% | 18% |
| Drama | 42% | 100% | 35% | 38% | 45% |
| Comedy | 28% | 35% | 100% | 22% | 30% |
| Action | 65% | 38% | 22% | 100% | 15% |
| Documentary | 18% | 45% | 30% | 15% | 100% |
The 'Hook' Point.
Analyze drop-off within a single video. Do 50% of users leave after the intro? Pinpoint the exact second engagement dies.
- Minute-by-minute audience retention curves
- Identify where viewers drop off in content
- Find the 'Hook Episode' that converts casual viewers
- Compare retention across different content types
Audience Retention Analysis
Minute-by-minute engagement drop-off
50%
Drop after intro
45%
Retained to end
Predict Subscriber Churn.
Identify 'Dormant' users who haven't watched a show in 14 days. Sync this segment to email tools for a 'We Miss You' campaign before they cancel.
- Define custom churn risk criteria
- Build segments from viewing inactivity
- Sync at-risk subscribers to Braze, HubSpot, or Salesforce
- Automate win-back campaigns before cancellation
Dormant Subscriber Segment
Build re-engagement campaigns
Segment Criteria
Suggested Campaign
"We Miss You" - New Releases Alert
The Stream Flow
From raw video events to actionable insights in three simple steps.
Ingest
Stream video player events (Mux, Bitmovin, Custom) to Snowflake/BigQuery. Your data, your warehouse.
Enrich
Join with Content Metadata (CMS) and Subscription tables. Connect viewing behavior to business outcomes.
Optimize
Visualize engagement instantly. Track viewer journeys, content ROI, and churn signals in real-time.
∞
Unlimited Video Heartbeats
<1s
Data Freshness
100%
SQL Transparency
Frequently Asked Questions
Everything you need to know about streaming analytics with Mitzu.
Track every frame. Retain every viewer.
Stop paying for event volume. Start analyzing your streaming data at warehouse scale with Mitzu.