BOTTEGA VENETA

The song BOTTEGA VENETA by Kolja Goldstein has been played 618,300 times on Spotify since its release on July 31, 2025.

Other songs from Kolja Goldstein

MILLIEU24

Kolja Goldstein, Eno
Herz

Kolja Goldstein, Dú Maroc
bissu dumm ¿ MEGALODON REMIX

Bonez MC, Nate57, AchtVier, AK 33, AK AUSSERKONTROLLE, AZAD, Big Toe, CANEY030, Celo & Abdi, Crackaveli, Curse, Dardan, Die P, Eno, FiNCH, Frauenarzt, Hakan Abi, Haze, Jaill, Jan Delay, Jonesmann, Juju, Kaisa Natron, Kolja Goldstein, Kontra K, Kwam.E, LAAS, LX, makko, Massiv, MP, Nizi19, Olexesh, OTW, Reeperbahn Kareem, Sa4, Saliou, Samra, Sido, SIL3A, Silva, Ski Aggu, Tom Hengst, Vega, Veysel, Zined
URLA & GAIA

Kolja Goldstein
HAKKASAN

Kolja Goldstein

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.