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Revenue Per Subscriber and What It Really Tells You

·7 min read·GoScript Team /Research

Why subs are a lagging signal

Subscribers can grow while revenue per subscriber drops. New subs may come from videos with lower RPM or from sources that monetize less. When reading revenue analytics, track revenue per subscriber for a rolling window, such as the last 28 or 90 days, to avoid mixing old subs with recent performance.

Do not judge a month by total subs. Judge it by how much revenue those recent actions produced relative to the active audience. That ratio is far more honest than a raw subscriber count.

Find a useful number

Pick a fixed window and use estimated revenue for that window divided by subscribers at the start or middle of that window. Be consistent. If you change the window, the number will move, so never compare a 28-day ratio to a 90-day ratio.

Look for videos that raised revenue per subscriber when they gained traction. Those are videos that brought the kind of viewers who engage with monetized content. They are not always the ones with the most new subs.

Use it to pick content

Filter for videos with above-average revenue per subscriber and see what they share. It could be a topic that holds longer watch time, or a format that attracts viewers from a higher-RPM source. Focus on those shared traits for your next batch instead of chasing broad reach.

If revenue per subscriber falls for three weeks straight, check traffic sources first. A shift to a lower-RPM source is the most common cause. Only after ruling that out should you look at ad load or audience mix.

Key takeaways

  • Track revenue per subscriber over a fixed rolling window.
  • Never mix 28-day and 90-day ratios.
  • Prioritize videos that lift the ratio, not just subs.
  • Check traffic sources when the ratio drops.
  • Be consistent with start-of-window subscriber counts.

Growing subs is easy to count, but growing revenue per subscriber is what actually grows income.

Quick check this week

Get estimated revenue for the last 28 days and subscribers at day one of that window. Write the ratio. Do the same for the prior 28-day window. If the ratio fell, list top three traffic sources for both windows and compare RPMs. That will show you where to look first.

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