SONG ANALYTICS

Kita Buat Menyenangkan by Bernadya

Peak position #9

Executive Summary

AI-generated performance analysis

B+

Very Good

This song achieves a B+ (Very Good) chart performance rating, peaked at #9.

"Kita Buat Menyenangkan" by Bernadya demonstrates strong chart presence on Apple Music.

The track has spent 2515 days on the Top 100 chart and 261 days in the Top 10.

From the album "Kita Buat Menyenangkan - Single", released Jan 28, 2026.

Key Highlights
  • Peak: #9
  • 2515 days on chart
  • Genre: Pop

Key Insights

AI-generated analysis based on chart performance

Exceptional Chart Longevity

With 2515 days on the chart (179.6x the average song), this demonstrates sustained audience interest well beyond typical performance.

Top 10 Performer

Reaching #9 demonstrates strong streaming performance, outperforming approximately 80% of all charting songs in this market.

Hot Streak Active

1853 consecutive days on the chart (best: 1853) demonstrates sustained listener engagement without any gaps in chart presence.

Chart Performance Factors

Key metrics driving this song's chart success

29.2/40
Overall Score

Chart Performance

9.2/10

Peak position achieved on the charts

  • Peak position: #9
  • Peak date: May 19, 2026
  • 261 days in Top 10

Chart Longevity

10/10

Total duration on the charts

  • 83.8x longer than average song
  • 2515 total days on chart
  • 1853 max consecutive days

Chart Stability

5/10

Consistency of chart position

  • Moderately stable chart position
  • Stability index: 59/100

Current Momentum

5/10

Recent chart movement trend

  • Stable chart position
  • Consistent performance
Overall Performance73%

Solid performance with room for growth in some areas.

Category Benchmark

Performance compared to other charting songs

Top 25%
Peak Position
Top 25%
#9actualvs #9 avg

1.8x higher than avg

Days on Chart
Top 1%
2515 daysactualvs 30 days avg

83.8x higher than avg

Days in Top 10
Top 1%
261 daysactualvs 7 days avg

37.3x higher than avg

Stability Index
Top 50%
59/100actualvs 50/100 avg

1.2x higher than avg

Strong performance, outperforming most charting songs content.

Chart History & Insights

Performance over time

Declining
#41
Peak
#97
Current
0
Top 10
8
Top 50

Currently ranked #97. Peak was #41. Ranking is declining.

Peak reached on Sep 13, 2026

Song Preview

Apple Music Reference

Source content being analyzed

Open
Kita Buat Menyenangkan0:249

Kita Buat Menyenangkan

Bernadya

Jan 28, 20260:249
0:0030s preview0:00

Daily Rank

—

Not charting today

All-Time Rank

#28

Score: 40,932

Peak Position

#9

May 19

Days on Chart

2515

360 weeks

Performance Breakdown
Top 1002515 days
Top 10261 days
Top 30 days
#10 days

Current Streak

1853d

Best: 1853d

Avg Position

#68.9

Last 30 days

7-Day Trend

Stable

Stability

Volatile

32/100

Ranking History
Last 26 days performance in Indonesia
#1#51#100
Sep 12Oct 7
Detailed Statistics
First Charted2/9/2026
Last Charted10/7/2026
Charting Duration241 days
Days to Peak99 days
Days at #10
Days in Top 30
Days in Top 10261
Days in Top 1002515
All-Time Score
40,932

points

Ranked #28 all-time

Song Information
AlbumKita Buat Menyenangkan - Single
ArtistBernadya
Duration4:09
Released1/28/2026
ISRCIDA682600101
GenrePop, Music
Recent Rankings
#97
Oct 7
#97
Oct 6
#93
Oct 5
#91
Oct 4
#91
Oct 3
#92
Oct 2
#100
Oct 1
#93
Sep 30
#65
Sep 29
#84
Sep 28
#78
Sep 27
#76
Sep 26
#69
Sep 25
#69
Sep 24

About Rankings

Rankings are based on Apple Music Top 100 charts in Indonesia. Updated daily.

About This Analytics Report

Official Data

This report is generated by Top1Trend's analytics engine, which tracks Apple Music trending data across 30+ regions since 2024. All metrics are derived from official chart positions via the official Apple Music API.

Data Source
Apple Music API
Last Updated

Oct 7, 2026, 2:00 AM

Tracking Since

2026-02-09

Region

id

Official API DataReal-time UpdatesHistorical Archives

Top1Trend is an independent analytics service and is not affiliated with, endorsed by, or sponsored by Apple Music. All trademarks belong to their respective owners. Data accuracy depends on platform API availability and may have slight delays from real-time values.