SONG ANALYTICS

เธอทำให้ฉันเสียใจ by Cocktail

Peak position #44

Executive Summary

AI-generated performance analysis

B

Good

This song achieves a B (Good) chart performance rating, peaked at #44.

"เธอทำให้ฉันเสียใจ" by Cocktail demonstrates strong chart presence on Apple Music.

The track has spent 507 days on the Top 100 chart.

From the album "Ten Thousand Tears", released Apr 30, 2011.

Key Highlights
  • Peak: #44
  • 507 days on chart
  • Genre: Pop

Key Insights

AI-generated analysis based on chart performance

Exceptional Chart Longevity

With 507 days on the chart (36.2x the average song), this demonstrates sustained audience interest well beyond typical performance.

Consistent Performance

With a 71/100 stability score ("Stable"), this song maintains a steady chart position, suggesting reliable streaming from a dedicated listener base.

Strong Weekly Trend

Improving 9 positions over the past week suggests this song is gaining momentum, possibly due to playlist additions or social media exposure.

Hot Streak Active

507 consecutive days on the chart (best: 507) demonstrates sustained listener engagement without any gaps in chart presence.

Chart Performance Factors

Key metrics driving this song's chart success

27.7/40
Overall Score

Chart Performance

5.7/10

Peak position achieved on the charts

  • Peak position: #44
  • Peak date: Feb 13, 2026

Chart Longevity

10/10

Total duration on the charts

  • 16.9x longer than average song
  • 507 total days on chart
  • 507 max consecutive days

Chart Stability

7/10

Consistency of chart position

  • Very stable chart performance
  • Stability index: 82/100

Current Momentum

5/10

Recent chart movement trend

  • Stable chart position
  • Consistent performance
Overall Performance69%

Solid performance with room for growth in some areas.

Category Benchmark

Performance compared to other charting songs

Top 25%
Peak Position
Top 50%
#44actualvs #44 avg

1.1x higher than avg

Days on Chart
Top 1%
507 daysactualvs 30 days avg

16.9x higher than avg

Stability Index
Top 25%
82/100actualvs 50/100 avg

1.6x higher than avg

Strong performance, outperforming most charting songs content.

Chart History & Insights

Performance over time

Stable
#47
Peak
#65
Current
0
Top 10
2
Top 50

Currently ranked #65. Peak was #47. Ranking is stable.

Peak reached on Feb 13, 2026

Song Preview

Apple Music Reference

Source content being analyzed

Open
เธอทำให้ฉันเสียใจ0:252

เธอทำให้ฉันเสียใจ

Cocktail

Apr 30, 20110:252
0:0030s preview0:00

Daily Rank

Not charting today

All-Time Rank

#62

Score: 7,040

Peak Position

#44

Feb 13

Days on Chart

507

73 weeks

Performance Breakdown
Top 100507 days
Top 100 days
Top 30 days
#10 days

Current Streak

507d

Best: 507d

Avg Position

#66.6

Last 30 days

7-Day Trend

Rising

9 positions

Stability

Stable

71/100

Ranking History
Last 31 days performance in Thailand
#1#51#100
Feb 11Mar 13
Detailed Statistics
First Charted1/26/2026
Last Charted3/13/2026
Charting Duration47 days
Days to Peak18 days
Days at #10
Days in Top 30
Days in Top 100
Days in Top 100507
All-Time Score
7,040

points

Ranked #62 all-time

Song Information
AlbumTen Thousand Tears
ArtistCocktail
Duration4:12
Released4/30/2011
ISRCTHG011100330
GenrePop, Music
Recent Rankings
#65
Mar 13
#74
Mar 12
#74
Mar 11
#69
Mar 10
#74
Mar 9
#73
Mar 8
#74
Mar 7
#79
Mar 6
#76
Mar 5
#79
Mar 4
#74
Mar 3
#76
Mar 2
#71
Mar 1
#70
Feb 28

About Rankings

Rankings are based on Apple Music Top 100 charts in Thailand. 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

14 hours ago

Tracking Since

2026-01-26

Region

th

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.