/// CASE STUDY

Podcast network · 4 shows · 2-person social team

How Kestrel FM went from 3 clips a week to 11 per day without hiring

Kestrel's team was cutting clips by hand and arguing about which ones to post. They moved review into Skryber's ranked clip list, let per-platform scores pick destinations, and scheduled a full week in one sitting.

11/day
clips published, from 3 a week
−9h
weekly editing hours
+34%
follower growth, 90 days
4
platforms from one queue

The situation

Kestrel publishes four interview shows a week, each 90 to 120 minutes. Clipping was manual: someone scrubbed the timeline after publish, pulled two or three moments they remembered, cut them in a desktop editor, then uploaded each one by hand to four accounts. Anything not caught live was effectively lost — the archive was 300 hours deep and nobody had opened it in a year.

The bottleneck was not editing skill. It was deciding what to cut, and then the mechanical cost of shipping it four times.

We went from three clips a week to eleven a day, with the same two people on the team.

Tomas Brandt
Social Lead · Kestrel FM

What changed in their week

01
Upload replaced scrubbing

The episode goes in once. Skryber returns a ranked clip list with a virality score per clip and silence already trimmed.

02
Per-platform scores pick the destination

One clip, four scores. The team stopped posting identical cuts everywhere and started sending each clip where it actually indexes.

03
One bulk schedule, once a week

Monday morning: approve the week, assign slots across four accounts, done in a single sitting instead of four evenings.

04
The archive came back

300 hours of old episodes went through the same pipeline in a weekend, and now backfill the calendar between new releases.

The result, 90 days later

Output went from 3 clips a week to 11 a day across four accounts, without adding a person. Nine hours of weekly editing time came back, most of it from silence removal and from not re-uploading the same file four times. Follower growth over the window was 34%, and the two best-performing clips of the quarter both came out of the archive nobody had time to open before.

Where these numbers come from

Kestrel FM's own workspace analytics export, compared against the 90 days before they moved over. Publishing counts are platform-reported; editing hours are the team's own tracked time. No figure on this page is rounded up.

More studies

Bring one episode. Compare your own numbers.

No card, no export limits on the trial.

Start free trialAll case studies