Streaming Content Aggregation and Analytics Platform

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Streaming Content Aggregation and Analytics Platform

Inspired by a conversation on:

Squawk Pod

Squawk Pod

Emmys & Streamers, NY Politics, & TikTok’s Deadline 9/15/25

Host: Joe Kernan, Becky Quick, Andrew Ross Sorkin

Timestamp: 28:20 - 29:00

Listen to Episode • View Podcast • All Ideas from Squawk Pod

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Feather Flow

Direct Quote

"If you combined Warner Brothers and its library and Paramount and its library and its streaming subscribers, you'd have about 200 million streaming subscribers."

Market Gap

Content creators need better insights on audience engagement across platforms.

With the rise of streaming services, content creators often struggle to understand audience engagement and performance metrics across various platforms. As more media companies merge and libraries expand, the challenge of tracking viewer habits and preferences becomes increasingly complex. Current analytics tools are often siloed, focusing on individual platforms rather than providing a comprehensive view. This leaves content creators and marketers without a clear understanding of how their content performs across the entire streaming landscape. The lack of aggregated data can lead to missed opportunities for tailoring content to audience preferences and optimizing marketing strategies. As streaming continues to dominate the media landscape, the need for a centralized solution to analyze and optimize content performance is pressing.

Summary

The proposed business idea is a Streaming Content Aggregation and Analytics Platform that allows content creators and media companies to track and analyze audience engagement across multiple streaming services. This platform would aggregate viewership data, performance metrics, and audience demographics from different platforms into a single dashboard, providing actionable insights for content optimization and marketing strategies. By leveraging APIs from various streaming services, the platform could offer real-time analytics, trend analysis, and predictive modeling to help users understand their content's performance and audience preferences. This would empower creators to make data-driven decisions, tailor their content to viewer interests, and maximize their reach. The target audience includes content creators, media companies, and marketing teams involved in the streaming industry.

Categorization

Business Model
SaaS
Target Founder
Technical
Difficulty
High
Time to Revenue
6-12 months
Initial Investment
> $10,000

Potential MRR (18-24 months)

Conservative
$5,000 - $10,000 MRR
Moderate (Most Likely)
$15,000 - $30,000 MRR
Optimistic
$50,000 - $100,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
8/10
Novelty
7/10
Feasibility
6/10
Market Potential
9/10
Evidence
8/10
Overall
7.6/10
Found on September 15, 2025 • Analyzed on September 15, 2025 6:16 PM

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