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OTT Analytics

A single source of truth for viewership, engagement, revenue, and quality of experience — built for operators who run hybrid monetization models across multiple regions, devices, and monetization tiers.

< 60s
Event freshness for live dashboards
50+
Prebuilt metrics and dimensions
9
Client SDKs supported
100%
Raw event access via warehouse

One Analytics Layer Across Every Screen

Vucos Analytics unifies telemetry from every surface where content plays — native apps, web, smart TVs, STBs, and casting targets — into a single queryable data plane. It standardizes events across device SDKs, reconciles them with subscription, ad, and billing records, and exposes them through real-time dashboards, a warehouse connector, and an API. Operators get both the streaming metrics their engineering team needs (rebuffer ratio, startup time, exit rate) and the business metrics their leadership team runs on (ARPU, churn, content ROI, ad fill rate).

Why this matters

OTT platforms fail not because the streams break, but because operators can't see which content, devices, and monetization paths are actually working. Data typically sits fragmented across a player SDK, an ad server, a CDN log, a billing system, and a DRM vendor — each with its own schema and retention window.

Vucos Analytics closes that gap. Every viewership event flows into a single model that joins technical performance with commercial outcomes. The same query that shows a 14% rebuffer spike on Samsung Tizen devices also shows the revenue at risk, the subscribers affected, and the impact on renewal probability.

What you can measure

Viewership & engagement

Concurrent viewers, minutes watched, completion rate, unique viewers, session depth, and content discovery paths — broken down by any dimension.

Quality of Experience

Startup time, rebuffer ratio, bitrate distribution, error taxonomy, and QoE impact on engagement, all correlated to device, ISP, CDN, and DRM.

Revenue & monetization

SVOD MRR, AVOD CPM/fill rate, TVOD transactions, bundle attribution, and content ROI — with cohorts and gross-margin views.

Subscriber health

Churn prediction, upgrade/downgrade flow, multi-device usage, and subscription lifecycle events tied to billing and BSS state.

Real-time streams

Sub-minute event freshness for live events, PPV windows, and ad break operations, with configurable alerting into Slack, PagerDuty, or webhooks.

Warehouse & BI export

Native connectors to Snowflake, BigQuery, Redshift, and S3/Parquet. Every raw and derived event available through SQL for your own BI stack.

How operators use it

Telco operator

Bundle-attributed ARPU

Attribute OTT minutes, retention, and upsell to the underlying mobile or broadband bundle — so the streaming product can be scored against the tariff plan that carries it.

Regional broadcaster

Live event QoE war room

During major sports fixtures, monitor concurrent viewers, rebuffer spikes, CDN egress, and ad fill in a single live view — with auto-alerts before the complaints start.

Sports rights holder

PPV yield optimization

Track ticket conversion by market, device, and referral source within minutes of purchase windows opening — feed the data back into pricing and promotional targeting.

Technical details

Client SDKs
  • iOS
  • Android
  • Web
  • Smart TV (Tizen, WebOS)
  • Android TV
  • Apple TV
  • Roku
Event delivery
  • Real-time streaming
  • Sub-minute freshness
  • At-least-once semantics
  • Client-side batching
Warehouses
  • Snowflake
  • BigQuery
  • Redshift
  • Databricks
  • S3 / Parquet
BI connectors
  • Looker
  • Tableau
  • Power BI
  • Metabase
  • Superset
Alerting
  • Slack
  • PagerDuty
  • Email
  • Webhooks
Compliance
  • GDPR-compliant event schema
  • Configurable PII retention
  • Regional data residency

Key Takeaways

  • Unified telemetry across native apps, web, smart TVs, STBs, and casting targets
  • Streaming, advertising, subscription, and billing events joined in one model
  • Real-time dashboards with sub-minute freshness for live and PPV events
  • Raw event export to Snowflake, BigQuery, Redshift, and S3/Parquet
  • Prebuilt KPIs: ARPU, churn, QoE, ad fill rate, content ROI, rebuffer ratio
  • Configurable alerting and anomaly detection into Slack, PagerDuty, and webhooks

Frequently Asked Questions

Does Vucos replace our existing BI stack?
No. Vucos Analytics is designed to sit alongside your warehouse and BI tools. Every raw and derived event is exposed through native connectors to Snowflake, BigQuery, Redshift, and S3 — so your analysts keep using Looker, Tableau, or whatever they run today, with cleaner, unified data feeding it.
How fresh is the data?
Operational dashboards refresh with sub-minute freshness — fast enough to run a live event war room. Aggregated KPIs (ARPU, churn, cohorts) are updated hourly by default; warehouse exports run on configurable cadences from 5 minutes to daily.
How does it handle privacy and GDPR?
Every event is emitted against a schema with explicit PII fields flagged for hashing or suppression. Retention windows are configurable per field and per region; EU event data can be pinned to EU storage regions, and subject-access / erasure requests are supported as a standard operation.
Can we correlate streaming QoE with revenue impact?
Yes. That join is native to the platform. A rebuffer spike can be viewed alongside the subscribers affected, the revenue-at-risk, and the historical churn uplift from similar events — not as an afterthought from a separate report.
What SDKs are supported, and how heavy are they?
Vucos ships SDKs for iOS, Android, Web, Smart TV (Tizen, WebOS), Android TV, Apple TV, and Roku. They batch events client-side and use efficient binary payloads, so bandwidth overhead is well under 1% of stream egress even at high-volume live events.
Can we alert on anomalies without building a custom pipeline?
Yes. Configurable alert rules ship with sensible defaults for QoE regressions, subscriber churn spikes, ad-fill drops, and authentication failures. Alerts route to Slack, PagerDuty, email, or any webhook endpoint.

Related

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One engine for every revenue model you run — subscription, ad-funded, transactional, and hybrid — with entitlement, billing, and ad serving wired into the same data plane so you never reconcile three systems again.

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Traces, metrics, and logs — correlated, queryable, and owned by you. The observability spine that turns a 3 AM incident into a 9-minute mean time to diagnose instead of a war-room hunt through five vendor consoles.

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Ready to learn more?

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