Add RPM-based estimated revenue metric using public YouTube data#10
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[WIP] Add RPM-based estimated revenue metric using public data
Add RPM-based estimated revenue metric using public YouTube data
Apr 13, 2026
mhaadiabu
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Apr 13, 2026
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YouTube's
estimatedRevenueis only accessible post-OAuth. This adds a proxy metric — RPM × views — derived entirely from publicchannels.listfields, visible before any authentication.New utility:
src/lib/revenue-estimate.tsMaps
topicDetails.topicCategoriesURLs to industry-standard RPM benchmarks and applies(totalViews / 1000) * RPM:UI integration
ESTIMATED_REVENUE_DISCLAIMERPrecedence
Confirmed
estimatedAnnualRevenue(manual inputs, YouTube Analytics OAuth, tax estimates) always takes priority. The proxy only renders when no confirmed revenue exists.All values are displayed in USD with the disclaimer: "Based on public view data and industry-average RPM. Connect your YouTube account for exact figures."
Original prompt
Background
The app works with YouTube creator data. YouTube's
estimatedRevenuefield is private and only available when a creator authenticates with their YouTube account. We need a standard proxy metric for revenue estimation that works using publicly available YouTube data, visible to all users before they authenticate.Goal
Implement an RPM-based estimated revenue metric using only public YouTube Data API fields.
Formula
Where RPM (Revenue Per Mille) is the estimated revenue per 1,000 views, using industry-standard benchmarks.
RPM Benchmark Values
Map channel topic/category to an RPM value. Use the following ranges (use the midpoint or a conservative value):
These categories should be derived from
topicDetails.topicCategorieson the YouTube channel object if available, otherwise fall back to the default of $4.Public YouTube Data API Fields to Use
statistics.viewCountfromchannels.list- total channel viewstopicDetails.topicCategoriesfromchannels.list- to determine niche/RPMImplementation Requirements
Create a utility function (e.g.
estimateRevenueFromViews) that:Integrate this estimated revenue value wherever channel analytics or revenue data is displayed in the app.
When
estimatedRevenuefrom YouTube (the authenticated metric) is available, it should take precedence over this proxy metric.Display a clear label or note alongside the metric indicating it is an estimate based on public data and industry-average RPM (e.g. "Based on public view data and industry-average RPM. Connect your YouTube account for exact figures."). Keep the note concise and factual — no marketing language.
Style and Code Notes
The following is the prior conversation context from the user's chat exploration (may be truncated):
User: I want us to have a metric for revenue estimation when real revenue data is not accessed yet. a standard metric to work with. what do you think is the best suited for this?
User: @Copilot Accepted Confirmation: Are you sure?
Assistant: I've kicked off a deep research session to explore the codebase — understanding the product type, data models, and any existing analytics logic will help me recommend the most fitting proxy metric for revenue estimation.
While that runs, here's the general thinking framework I'll apply once results come back:
The best proxy metric depends on the business model:
Once the research is done, I'll map it to your actual app structure and propose a concrete formula + metric name you can wire into your dashboard/analytics layer. Stay tuned! 🎯
User: I want the metric based on publicly available youtube data in the app. the estimatedRevenue provided by Youtube is private and is setup to work in the app only when creators authenticate with their YT accounts.
Assistant: Great context! So the app works with YouTube creator data, and
estimatedRevenueis only available post-authentication. You need a public data-based proxy that approximates revenue before a creator connects their account.The industry-standard approach for this is:
📊 Recommended Metric: Estimated RPM-based Revenue
Formula:
Where RPM (Revenue Per Mille) = revenue per 1,000 views — using a publicly accepted benchmark.
Why this works:
This pull request was created from Copilot chat.