Bam (song)

"Bam" is a song by American hip hop artist Jay-Z from his thirteenth studio album, 4:44 (2017). The song samples Sister Nancy's "Bam Bam". It charted in the United States and United Kingdom in 2017.

"Bam"
Single by Jay-Z featuring Damian Marley
from the album 4:44
ReleasedSeptember 26, 2017
StudioNo I.D.'s studio, Hollywood
GenreHip hop
Reggae fusion
Length3:55
LabelRoc Nation
Songwriter(s)
Producer(s)No I.D.
Jay-Z singles chronology
"4:44"
(2017)
"Bam"
(2017)
"Family Feud"
(2018)
Damian Marley singles chronology
"Nail Pon Cross"
(2016)
"Bam"
(2017)
"Medication"
(2017)
Music video
"Bam" ft. Damien Marley on YouTube

Background

The song includes a sample of "Bam Bam" by Jamaican musician Sister Nancy, which fellow rapper Kanye West had previously sampled on his single "Famous". In response to Jay-Z sampling her work, Sister Nancy said: "It's a blessing."[1]

Charts

Chart (2017) Peak
position
UK Singles (OCC)[2] 93
UK R&B (OCC)[3] 33
US Billboard Hot 100[4] 47
US Hot R&B/Hip-Hop Songs (Billboard)[5] 21

Release history

Region Date Format Label Ref.
United States September 26, 2017 Rhythmic contemporary radio Roc Nation [6]
Urban contemporary radio [7]

References

  1. "Sister Nancy responds to being sampled by JAY-Z and Kanye West". The FADER. March 14, 2018. Retrieved July 15, 2019.
  2. "Official Singles Chart Top 100". Official Charts Company. Retrieved July 15, 2019.
  3. "Official R&B Singles Chart Top 40". Official Charts Company. Retrieved July 15, 2019.
  4. "Jay-Z Chart History (Hot 100)". Billboard. Retrieved July 15, 2019.
  5. "Jay-Z Chart History (Hot R&B/Hip-Hop Songs)". Billboard. Retrieved July 15, 2019.
  6. "Top 40 Rhythmic Future Releases". AllAccess.com. R&B Song and Hip-Hop Music Release Dates. Archived from the original on September 27, 2017. Retrieved July 15, 2019.
  7. "Urban/UAC Future Releases". AllAccess.com. R&B Song and Hip-Hop Music Release Dates. Archived from the original on September 27, 2017. Retrieved July 15, 2019.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.