See what changes from one show to the next

Start with your baseline. A score of 6.8 only becomes useful when you know what your shows usually score. One night may have a different audience, an unusual subject or a listener whose connection dropped; the number alone cannot separate those effects. After one show, you do not yet have a normal range to compare against.

Across a series, you can ask more specific questions. If the mailbag consistently scores above the interview, you have a clear signal about the format rather than a general impression of one show. The history turns “how did that go?” into a comparison you can use when planning the next episode.

A complete record of each show

• Interest by show. Each show’s average score gives you a trend line and a working baseline.
• Interest by segment. Every named segment keeps its own score, so you can rank recurring parts of the show against each other.
• Poll results. Every poll you close normally keeps its final result, long after the 45-second reveal ends.
• Roll call standings. See who checks in, how often they return and who is building a streak, so you know whom to name on air.
• Sponsor clicks. See how many people clicked each placement for the figure a sponsor report needs.
• Audience shape. Follow how many listeners were in the room and how that changed during the show.

Compare recurring segments

Whole-show comparisons include changes in subject, night and audience size. Compare the same segment across ten shows and most of those variables are roughly held constant. The remaining signal says more about the format itself.

The pattern may show that the cold open scores below the show average every week, the prepared interview trails the segment you improvise, or the sponsor read costs less interest than you expected. A show-level average hides those differences. Segment history gives you something concrete to change next week.

Filter the full view

Narrow analytics to a date window or one show, and the headline numbers, charts and tables all follow. Use the same control to compare last month with the month before it or review a particular night after someone mentions it. Each view therefore answers the question over the same period.

Figures settle when a show ends instead of being recomputed on demand. The result is a record of what happened, not an estimate assembled from data that is still cached. Shows that end automatically after being left running settle the same way.

History by plan

Free keeps 7 days, enough to review the show you just ran but not to build a week-to-week comparison. Starter, Pro and Studio keep the full history with no expiry. That longer window lets weekly segment history accumulate.

The plan changes the retention window, not how figures are counted. A free show is measured as carefully as a paid one. Upgrading does not recover shows after their free-plan window has expired, so a weekly show needs a paid plan early if you want to compare its formats over time.

Anonymous responses stay anonymous

Interest votes and poll answers remain anonymous in your own analytics. No view shows how a named listener voted, and the answer cannot be reconstructed because it is never stored against an identity.

Attributable votes could support other reports, but they would also change what listeners are willing to say and make the score less candid. Roll call and suggestions carry identity because they are public acts. Rating the show is not.