No Te Vayas

The song No Te Vayas by Camilo has been played 231,574,824 times on Spotify since its release on March 29, 2019.

Other songs from Camilo

Lejos de la Ciudad - con Camilo

Daniela Spalla, Camilo
PLIS

Camilo, Evaluna Montaner
Naturaleza

Camilo, Nicki Nicole
Amén

Ricardo Montaner, Mau y Ricky, Camilo, Evaluna Montaner
Color Esperanza 2020

Diego Torres, Nicky Jam, Reik, Camilo, Pedro Capó, Manuel Turizo, Kany García, Leonel García, Río Roma, Lali, Camila, Farruko, Rubén Blades, Carlos Vives, Diego El Cigala, Prince Royce, Jorge Villamizar, Gente De Zona, Fonseca, Thalia, Leslie Grace, Rauw Alejandro, Angela Torres, Dilsinho, Mau y Ricky, Ivete Sangalo, Coti, Carlos Rivera, Dani Martín, Ara Malikian

Frequently asked questions

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- Inconsistent Stream Counts for a Day: Sometimes, a data point may represent the stream count for two days instead of one. This inconsistency arises because Spotify does not update its public stream count at a fixed time daily. If our data recording aligns with these fluctuations, it can lead to inaccuracies.
- Anomalous Data Points (including negative streams): On occasion, you might observe highly irregular data points, such as negative daily streams. These are typically the result of metadata discrepancies on Spotify's end, like different tracks sharing the same International Standard Recording Code (ISRC). In such cases, reaching out to us can be very helpful. We can often disregard these erroneous data points to present a more accurate graph.

In both situations, we're committed to continuously improving our data accuracy and are here to assist with any specific concerns you might have.
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: This occurs due to Spotify's policy of only displaying public stream counts for tracks that have surpassed 1,000 streams. Consequently, if you see a stream count marked as 0 in our system, it indicates that the total stream count for that track is currently below 1,000. As the track accumulates more streams and crosses this threshold, the accurate stream count will start being reflected in our data.