DropCue shows you who played your music, which tracks each person played, when, and whether they came back to play again. Per-recipient analytics on every shared playlist. Included on Pro, from $15 per month with annual billing.
Start free trial →Music playlist analytics is the practice of tracking listener behavior on shared music playlists to understand what happened after you sent a pitch. At its most basic, analytics tells you whether someone opened your link. At the level that actually changes how you work, it tells you which specific tracks a named recipient played and when, whether they downloaded anything, and whether they came back for a second session the next day.
Without analytics, sending a music playlist is a black box. You craft a curated selection of cues, write a personalized pitch, hit send, and then wait. You do not know if the supervisor opened the link, if they played your strongest track or only the opener, or if they shared it with their team. You follow up based on a guess. Analytics replaces the guess with data.
Per-recipient analytics is the most important distinction between platforms. Aggregate analytics (“this link got 14 plays”) is better than nothing but tells you nothing actionable. Per-recipient analytics means each named contact on your share link gets their own tracking record. You can see that Sarah at Sony played tracks one, three, and five and downloaded track three. You can see that James never opened the link. That distinction changes every decision you make: who you follow up with, which tracks you lead with on the next pitch, which cues to cut from your pitches because nobody plays them.
Download tracking adds another layer of signal. A supervisor who downloads a high-resolution WAV file is not browsing. They are considering a placement. They need the clean file to present to the director or drop into a cut. Download events are the highest-intent signal in music analytics short of a licensing inquiry, and knowing which tracks get downloaded and by whom tells you more about your catalog’s commercial appeal than any A&R feedback session.
Return visit detection is the third signal that separates serious analytics from basic link tracking. When a recipient opens your playlist link on Tuesday, plays three tracks, then comes back Wednesday and plays the same track twice, that return is a strong indicator of genuine interest. DropCue logs every visit and play with its time under the recipient's name, so a second session shows up in that person's activity and you can follow up at the right moment rather than three weeks after the interest has cooled.
DropCue includes per-recipient plays and downloads, a timestamped activity log, listener countries, the playlist completion rate and average listen time, and timestamped feedback comments on Pro and Studio. The Artist plan shows totals only. The data is there on every playlist from the moment you share it. To lock the playlist with a password and a tracked link per person, see private music sharing. To see all of it across every playlist, album and portfolio for any period, and export it as a PDF or spreadsheet, see Reports.
For every recipient of a shared playlist, you see when they opened it, which tracks they played and when, repeat plays (each one is a new timestamped entry), and downloads when downloads are enabled. It shows per recipient in the By Recipient table and the activity log, per track in the top tracks list, and per playlist as totals, completion rate, average listen time and listener countries. Listen time and completion are playlist averages, not per person.
Sarah played track 3 twice and downloaded it. James never opened the link. Who gets the follow-up email first? Analytics answer that question before you start writing. The legacy approach without analytics was to send the same follow-up to everyone after an arbitrary 7 to 14 days. The analytics-informed approach prioritizes the engaged listeners and politely de-prioritizes the silent ones. The time you used to spend chasing James goes to Sarah instead.
If 8 out of 10 supervisors play tracks 1 to 3 and nobody ever plays track 4, that is more useful data than any A&R opinion. The pattern tells you the track is not landing for that audience, regardless of why. Cut it from the next pitch playlist. Replace it with the track that landed for 7 out of 10 reviewers last time. Analytics turn pitch curation into a measurable iteration rather than a guess.
Sarah opened the link Tuesday at 3pm, played tracks 1 through 4, and came back Thursday morning to play track 3 again. Your follow-up email goes Thursday afternoon or Friday morning while the music is fresh. Mark opened the link Wednesday and played only track 7. Your follow-up to Mark is shorter and references whether he had a specific cue type in mind, since his engagement pattern suggests the playlist did not match his current brief.
Analytics inform conversation. They do not replace it. A supervisor playing your track twice is a buying signal that the composer or library has to act on with a human follow-up that references the specific brief at hand. Composers and libraries that treat analytics as a substitute for relationship work see lower placement rates than those who use analytics as a way to prioritize where their relationship work goes. The data is a layer on top of the music industry, not a substitute for it.
Music playlist analytics is the practice of tracking listener behavior on shared playlists. A platform with analytics tells you which tracks each recipient played and when, whether they returned for a second session, and what they downloaded. It turns a passive share link into a measurable pitch tool. Without analytics, you send a link and hope for the best. With analytics, you know exactly what happened.
Yes. DropCue tracks play events by named recipient. When you add a contact to a share link, every play event is logged to that recipient so you can see exactly who listened, which tracks they played and when, and what they downloaded. Listen time and completion rate are shown as playlist averages, not per person. This is on Pro and Studio. If you share without named recipients, you see aggregate play data for the link.
When you create a share link and add named recipients, DropCue generates a unique URL parameter for each recipient. When they open the link and play a track, the play event is recorded with their name, the track and the time. All of this appears in the playlist's Stats on Pro and Studio. To add a password and a tracked link per person, see dropcue.app/private-music-sharing.
DropCue does not display tracking notices to recipients and does not collect personal data beyond what is necessary for analytics. Play tracking is an industry-standard practice for professional music sharing platforms, similar to email open tracking. Your recipients agreed implicitly when they opened a professional sharing link rather than a direct file download.
Per-recipient analytics means play data is tied to a named contact rather than a generic IP address or aggregate count. Instead of "this link got 14 plays," you see "Sarah at Sony played tracks 1, 3, and 5 and downloaded track 3. James never opened the link." That distinction is what makes analytics actionable for professional music pitching.
DropCue offers a 7-day free trial with no credit card required. You get full access to playlist analytics, per-recipient tracking, and real-time play data during the trial. After the trial, Artist ($8 per month annual) keeps basic play analytics and Pro plans keep full per-recipient tracking. No analytics platforms worth using are free, because the infrastructure behind real-time tracking has a real cost.
Most music supervisors are unaware of the analytics layer on the back end of a share link. From the supervisor side, the listening experience looks like any other professional sharing tool: open a link, preview tracks in the browser, download files when needed. The analytics are visible only to the composer who sent the link. The supervisor's behavior (which tracks they played, when, and what they downloaded) becomes the composer's data for refining the next pitch. It does not change anything on the supervisor side, which is exactly the point.
There is no industry-published benchmark, but working composers who pitch directly tend to report open rates of 40 to 70 percent on warm relationships, listening depth (average tracks played) of two to four on a 10-track playlist, and download rates of one to five percent on first sends to a new supervisor. The numbers that matter most are the trajectory of these metrics over time as the composer refines their pitch strategy. A composer whose listening depth rises from two to four over six months of consistent outreach is doing the work even if no single pitch closes a placement.
Yes, in two ways. First, by surfacing which tracks consistently get played across multiple pitches and which ones get passed over. The tracks that get passed over are not necessarily bad music. They are signaling that the intro, the genre framing, or the title is not landing with the supervisors you are reaching. Second, by surfacing which tracks get downloaded by the kinds of supervisors you most want to work with. A track that gets downloaded twice by two different ad-agency supervisors is telling you something about that track's commercial appeal that no internal A&R review can match.