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Audience Insights

Understand when your listeners tune in, whether they're new or returning, and how your week-over-week performance is trending.

The Insights tab​

Go to Statistics → Insights tab. This page reveals patterns in your listening data that help you make smarter decisions about scheduling, content, and promotion.

Week-over-week comparison​

Audience insights with hourly patterns
The Insights tab reveals when your audience listens and how they're trending.

At the top of the Insights tab, you'll see:

  • This week's listens — Total plays so far this week
  • Last week's listens — Total plays for the same period last week
  • Week change — Percentage increase or decrease, with a direction indicator
  • New listeners (30 days) — First-time listeners in the past month
  • Returning listeners (30 days) — Listeners who have played content before

This gives you an instant sense of momentum — are you growing, steady, or declining?

Listening by hour of day​

A chart shows which hours of the day get the most listens (based on the last 30 days). Each hour (00:00 to 23:00) is represented as a bar showing listen volume.

What this tells you:

  • When your audience is most active
  • Whether peak times align with your schedule (are your best shows at the right time?)
  • Whether you should adjust episode publication times
tip

If you see strong listening at 8am and 6pm but your best content is published at midday, consider adjusting your schedule or episode publication times to match when listeners are actually tuning in.

Listening by day of week​

A similar chart shows which days of the week get the most listens. Each day (Monday to Sunday) is represented as a bar showing listen volume.

What this tells you:

  • Whether weekdays or weekends are stronger
  • Whether specific days correlate with specific shows
  • Whether your weekend programming is pulling its weight

Recent episode performance​

Shows episodes published in the last 30 days with their first-week listen counts. This helps you spot which content resonates immediately after release.

What this tells you:

  • Which episodes are getting traction quickly
  • Whether your latest content is performing above or below average
  • Whether new shows or formats are landing with your audience

New vs returning listeners​

The breakdown of new versus returning listeners over the last 30 days tells you about audience loyalty:

  • High returning / low new — Strong loyal audience, but you may need to attract new listeners
  • High new / low returning — Good at attracting attention, but retention could improve
  • Both high — Growing and retaining — the ideal combination

Practical applications​

For community stations​

Understanding peak listening times helps when writing reports for funders or Ofcom returns. "Our station reaches 1,200 unique listeners per week, with peak listening at 8am and 6pm on weekdays" is much stronger than "we have some listeners."

For student stations​

Week-over-week comparison shows whether promotional activity (freshers' week, social media campaigns) is driving actual listening.

For commercial stations​

New vs returning listener data helps quantify audience loyalty for advertisers. Export the data for inclusion in rate cards and sales materials.