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Your streaming data at a glance
Paste the link of a TikTok or Instagram post. You get the playlist link with tracking for exactly this post – put it into the ManyChat message for that post. Visits of the link can then be counted per post.
All playlists that played Aqua Scholar in the last 24 hours: your playlist, playlists of other users and Spotify's algorithmic playlists.
Listener countries — last 28 daysi
Did the followers come from the posts?
Gain = new playlist followers after a post. Expected = normal organic growth in the same time (e.g. via Spotify search), measured while no post was running. Uplift = gain − expected: the followers the post most likely brought. Posts on the same day share the daily values.
Search terms
Countries
Listening time per listeneri
The curve starts with the first nights of song data from Spotify for Artists.
Where listeners drop offi
Needs song values from Spotify for Artists (collected every night at about 23:00).
Songs in playlist orderi
Removed from the playlist
Recommended orderi
Changes to the playlist – before / afteri
Group tracking codes into your own line: give it a name and the UTM values that have to match. Empty field = any value, * works as a placeholder (e.g. ig_*). A click counts towards the first matching series from the top.
Calculating the model …
Streams of the last 28 days by listener origin
Streams per day (Aqua Scholar, ≈ 98 % via the playlist), split by the model. Existing listeners carry most streams: new listeners play far fewer songs on their first day.
New listeners per day
New listeners = people who had not listened to Aqua Scholar for at least two years (Spotify for Artists). Pink = part the model links to post views and link clicks, green = organic (Spotify search, algorithm, recommendations, other). Grey line = views gained by all posts.
New playlist followers per day
Retention — do new listeners come back?
How robust is the estimate?
The model variants with the most weight. Share = part of new listeners / followers the variant links to the influencer. t = strength of the signal (|t| ≥ 2 ≈ clear, below ≈ weak).
Spotify does not tell where a listener came from, so the split is estimated from timing: on days when the influencer's posts gain many views or the SubmitHub link gets many clicks, do more new listeners and followers arrive than the weekday and the overall trend would predict? That extra part is counted as influencer, the rest as organic. Posts keep working for a few days (carry-over), and the date of the view counts can be shifted by a day, so many variants are fitted and weighted by how well they explain the data.
Limits: effects that do not follow the posting days (e.g. someone saves the playlist and comes back weeks later, or the influencer's audience finds the playlist via Spotify search) count as organic, so the influencer share is rather a lower bound. A smooth trend can also absorb part of a steady influencer effect. The range shows how much the result depends on these choices. A dedicated link only used by the influencer (e.g. in DMs and bio) would make this much more precise.
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Log a month
Empty means: use the measured daily data for the streams and the calculated payout. Anything entered here wins over both.
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Her best posts
Her weakest posts
What goes together with a good result
Score = percentile among her own posts (100 = her best), median per group. Δ = difference to all other posts. p = probability that a difference this large is pure chance (Mann-Whitney); below 0.05 is a real signal. Groups with fewer than 5 posts are weak evidence and greyed out.
Hashtags (used at least 4 times)
Ready-to-use concepts, written from the numbers above. Every concept names the posts it is based on. When one is posted, link the real post to it – then its result shows up here and goes into the next round.
Openings of the SubmitHub playlist link per tracking code – e.g. the Instagram bio link or a ManyChat link from the generator. Clicks without tracking code are not included.
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Playlist vs. no playlist
Grouped from the caption: “playlist” or an affiliate note (also written as aff1liate, b!o …) = playlist post. “AD |” without playlist = ad for another product (e.g. Study Guard). Medians per group, for the platform, year and month selected above. Click a row to filter.
Posts
Choose which data points normal users can see – in the chart and everywhere else in the dashboard. Admins always see everything. New data points start as admin only.
What normal users see in this tab. Admins always see everything.
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API Key
Use this key to post streams and posts from external scripts. Send it as the X-API-Key header.
Regenerating will immediately invalidate the old key.