DropCue shows you exactly who played your music, which tracks they listened to, how long they stayed, and whether they came back. Real per-recipient analytics on every shared playlist. Included on every plan starting at $5 per month with annual billing.
Start free trial →For every recipient of a shared playlist, DropCue logs the open event (did they click the link), play events at the track level (which tracks they played), play duration per track (how long they listened), completion rate (did they finish or skip), repeat plays (did they come back for a second or third listen), geo (city and country), device type (mobile, desktop, or tablet), and download events when downloads are enabled. The data is visible per recipient in a list view, per track in a heatmap view, and per playlist in an aggregate view.
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. Working composers using DropCue typically see their placement rate climb noticeably within 30 days of starting to follow this pattern because the time previously spent chasing James is now spent closing Sarah.
If 8 out of 10 supervisors skip track 4 in the first 15 seconds, that is more useful data than any A&R opinion. The skip 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 in full, and came back Thursday morning to replay track 3. Your follow-up email goes Thursday afternoon or Friday morning while the music is fresh. Mark opened the link Wednesday, played only track 7 for 14 seconds, and closed the page. 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.