b3126044e8
- Simplify flatten_vault API to return usize instead of MigrationResult struct - Add KEEP_FOLDERS: attachments/ and _themes/ alongside type/, config/, theme/ - Use HashSet for collision tracking in unique_filename - Update wikilinks from path-based [[folder/slug]] to title-based [[slug]] - Clean up empty directories after flattening - Flatten demo-vault-v2: move all notes from type-based subfolders to root - Update smoke tests for flat vault structure - Remove migrate_to_flat_vault from repair_vault (one-time migration only) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2.6 KiB
2.6 KiB
aliases, Is A, Belongs to, Cadence, Owner
| aliases | Is A | Belongs to | Cadence | Owner | |
|---|---|---|---|---|---|
|
Procedure | responsibility-podcast | Monthly | person-luca-rossi |
Podcast Analytics Review
The monthly podcast analytics review turns download numbers into editorial decisions. By examining which episodes perform, where listeners drop off, and which topics sustain engagement, this procedure ensures the podcast evolves based on evidence rather than assumptions. The data collected here directly informs guest selection, topic planning, and format experiments, all of which drive measure-podcast-downloads growth over time.
Steps
- Pull download data for all episodes published in the past month from the podcast hosting platform
- Record measure-podcast-downloads for each episode and the monthly aggregate — compare against the prior month and 3-month average
- Analyze listener retention curves for each episode: where do listeners drop off? Are there patterns tied to episode length, segment type, or topic?
- Rank episodes by performance and identify what the top-performing episodes have in common (guest profile, topic type, title format)
- Review listener geography and platform distribution for any notable shifts
- Check podcast review sites for new ratings and reviews — note themes in listener feedback
- Compare measure-podcast-episodes-per-month against the target cadence — were all planned episodes published?
- Identify 2-3 actionable insights (e.g., "episodes under 45 minutes retain 20% more listeners" or "solo episodes outperform interviews this quarter")
- Share findings with person-paco-furiani to inform editing and production decisions
Notes
- Download numbers for new episodes stabilize after about 7 days. Do not draw conclusions from the first 24-48 hours — early downloads reflect audience habits, not content quality.
- Listener retention is the most underused metric in podcasting. A high-download episode with 40% retention at the midpoint is less healthy than a moderate-download episode with 75% retention.
- Compare performance across guest episodes vs. solo episodes. If one format consistently outperforms, adjust the mix accordingly rather than forcing a 50/50 split.
- External factors (being featured in a podcast directory, a guest sharing with their audience) can cause download spikes that are not repeatable. Separate one-time spikes from sustainable growth in your analysis.
- This review feeds into procedure-podcast-guest-outreach — let the data guide what kind of guests and topics to prioritize in the pipeline.