TubeAnalyticsCreator intelligence

Explore TubeAnalytics product capabilities

Navigate the core feature set, integration options, API access, and release updates from a single product umbrella.

TubeAnalytics dashboard with channel performance and audience reports
Product preview with sample data. Compare performance, then choose a report to investigate.

Published by TubeAnalytics, founded by Mike Holp. Data sources and limitations · Corrections and support.

Decision framework

Why TubeAnalytics is a better product layer for YouTube analytics

TubeAnalytics solves three product gaps that YouTube Studio and adjacent tools do not address well: authenticated revenue data instead of rough estimates, competitor benchmarking without manual spreadsheets, and AI-assisted testing that helps you make decisions before you publish.

Revenue data

Connect to YouTube's API for actual CPM, RPM, and ad-type breakdowns instead of industry averages.

Competitive visibility

Track up to 20 competitors at once and surface upload patterns, content gaps, and view trends.

Pre-publish testing

Test thumbnails, topics, and scripts before publishing so decisions are based on data, not intuition.

What TubeAnalytics does

TubeAnalytics is a YouTube analytics platform built for creators, agencies, and media teams that need more than the data YouTube Studio provides. It aggregates revenue metrics, audience demographics, retention curves, and competitive benchmarks into a single workspace — removing the manual work of reconciling spreadsheets across multiple channels or team members.

The platform connects to YouTube's Analytics API through a secure OAuth flow, giving users access to RPM, CPM, watch time, traffic sources, and audience demographics without requiring data exports or copy-paste workflows. All data refreshes automatically so dashboards always reflect current channel performance.

  • Revenue analytics: RPM, CPM, estimated revenue, and ad type breakdowns
  • Competitor tracking: benchmark against up to 20 channels depending on plan tier
  • AI-powered insights: plain-English recommendations based on channel data patterns
  • Team collaboration: shared workspaces with role-based access for agencies
  • White-label reporting: export or share branded analytics reports with clients

Integrations

TubeAnalytics connects to YouTube through Google OAuth and makes your data available to other tools through a read-only REST API.

What you can connect:

  • YouTube — Google OAuth connection with a daily data sync
  • REST API — channels, analytics, videos, audience, and competitors (Professional and Enterprise)
  • MCP — give AI agents access to the same data
  • OpenAPI specification — generate a client in any language

API Access

The TubeAnalytics API gives developers programmatic access to revenue metrics, audience data, and competitor benchmarks. Build custom dashboards or integrate with internal tools.

Core API capabilities:

  • Revenue data export — RPM, CPM, estimated earnings by geography
  • Competitor benchmarks — track up to 20 channels via API
  • Real-time webhooks — alert on traffic spikes or revenue changes
  • Audience demographics — age, gender, geography breakdowns
  • Retention curves — second-by-second viewer drop-off data

Latest Update

Version 2.23.0 released March 31, 2026. Blog SEO & Pagination Improvements. This update includes:

  • SEO-optimized pagination with 10 articles per page
  • 5 new GEO-optimized blog articles
  • Enhanced AI citability with inline quotes

Who TubeAnalytics is built for

Independent creators on the Starter tier get access to revenue analytics, channel health scoring, and content performance metrics for a single channel. This tier focuses on the core metrics that matter most for individual monetization — RPM trends, audience retention drop-off points, and traffic source breakdowns that inform upload strategy.

Agencies and multi-channel operations use the Professional and Enterprise tiers for bulk channel tracking, white-label reporting, and API access. These tiers are designed around client delivery workflows where reporting needs to move quickly and consistently across accounts of different sizes and niches.

Platform architecture and data access

TubeAnalytics connects to YouTube through the official YouTube Analytics and YouTube Data APIs. OAuth tokens are stored with AES-256-GCM encryption, and the platform auto-refreshes credentials in the background so users never encounter expired token errors during an analytics session.

The platform is built on Next.js App Router, PostgreSQL, and Upstash Redis for caching, hosted on Vercel's infrastructure. This architecture supports fast dashboard loads for most queries, even when pulling historical data across multiple channels in parallel.

Need implementation support?

Use solutions and guides to move from feature discovery to a repeatable operating workflow.