Next-Gen Media Intelligence: The VSI Analytics Fabric for Audience, Ad & Content Valorization
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Next-Gen Media Intelligence: The VSI Analytics Fabric for Audience, Ad & Content Valorization

Transform scattered media data into high-value insights that grow engagement, ad yield, and loyalty.

1 Market Reality Streaming saturation, audience fragmentation, and margin pressure force media firms to pivot from "content is king" to "intelligence is king." According to VSI's 2025 Media Pulse survey, 72 % of executives cite analytics gaps as their #1 monetization blocker. 2 VSI Analytics Fabric (VAF) A cloud-native platform that ingests OTT telemetry, social chatter, ad-tech logs, and CRM events, then unifies them with active metadata. Edge Kafka feeds >15 GB/min into Snowflake; a semantic layer provides business-friendly views for marketers, programmers, and finance. 3 Real-Time Analytics Modules* Audience 360 –

  • Identity graph fuses first-party and partner IDs; look-alikes refresh every 30 minutes.* Ad Yield Optimizer –
  • Reinforcement-learning engine prices spots per attention probability.* Creative Intelligence –
  • Multimodal Gen

AI rates trailer sentiment, predicts binge likelihood.4 AI & Gen

AI Fine-tuned LLMs summarize thousands of viewer comments nightly; RAG pipelines surface highlight clips for socials in 90 seconds. 5 Data Trust & Compliance Zero-trust lakehouse, differential-privacy noise for GDPR/CPRA, and lineage dashboards for auditors. 6

Business Outcomes / Engagement +19 %, / ad e

CPM +23 %, churn -17 %. A Tier-1 streamer added $48 M ARR within eight months. 7 Implementation Road-Map (1) 30-day discovery, (2) 90-day MVP on one channel, (3) 6-month portfolio rollout, (4) 12-month partner-data marketplace. 8 Sustainability Angle Carbon-aware query planner lowers compute k

Wh 14 %, feeding ESG reports. 9

Conclusion Content may attract –but intelligence retains and monetizes. VAF lets media firms weaponize data, not drown in it.

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