Skip to content
Data study

The one-hit-wonder curve: how long the world keeps searching for a song after it leaves the chart

One-week No. 1s are not forgotten faster than long-running hits: a year on, they keep a median 5.8% of peak lyric searches vs 3.2–4.9% for longer runs

5.8%Headline stat
aisong.lol Research
Published · 2 min read
Empty bar with spotlight on a microphone stand, suggesting past glory.

Across 110 Billboard No. 1s from 2004 to 2026, songs that spent just one week at No. 1 lost search interest at the same speed as long-running hits: all four groups fell below a quarter of their peak within a median 4 months. A year after the peak, one-week No. 1s held a median 5.8% of their peak, against 3.2% for 2–4-week runs, 3.3% for 5–9 weeks and 4.9% for 10+ weeks. Five years on, every group sits at about 1–2%. Because each song is measured against its own peak, a long run means a higher, flatter peak; the drop afterwards looks just as steep.

Decay by weeks at No. 1 (medians, % of each song's own peak)

Weeks at No. 1SongsMonths to <25%Year-after level %Year-5 level %Songs with 5 yrs of data
1 week5845.82.144
2–4 weeks2443.21.121
5–9 weeks1843.31.218
10+ weeks1044.91.98

By decade-ish era

EraRunSongsYear-after %Year-5 %
2004–071 week105.92.3
2004–072+ weeks233.11.6
2008–111 week164.61
2008–112+ weeks84.71.1
2012–151 week35.42.8
2012–152+ weeks93.71.1
2016–191 week128.92.8
2016–192+ weeks72.71

One-week No. 1s with the longest tails (year-5 level, % of peak)

SongArtistYearYear-5 %
You're BeautifulJames Blunt200614.2
GirlfriendAvril Lavigne200711.6
PsychoPost Malone featuring Ty Dolla Sign201810.6
The Way You MoveOutKast featuring Sleepy Brown20047.3
That's What I LikeBruno Mars20174.9
What Goes Around...Comes AroundJustin Timberlake20074.7
SunflowerPost Malone and Swae Lee20194.6
Watermelon SugarHarry Styles20204.5

What it means

Every song on these charts started as a hook someone wrote down. If you have a hook of your own, an AI song generator can turn it into a full track with vocals in a few minutes. For a soundtrack to your own day, an AI music generator can score it to whatever mood you need.

Method

  • Google search interest, US, web search, one query per song for "<title> lyrics", Jan 2004–Sep 2026 (monthly points). Each song's series is scaled to its own peak (=100), so the metrics are shapes: share of a song's own peak, not volume.
  • Sample: 143 of the 300 Billboard Hot 100 No. 1s first reaching No. 1 between Jan 2004 and 2026 (all 16 Songs of the Summer 2010–2025 included). Chart dates from the public Billboard No. 1 list.
  • Ambiguous titles removed (33 songs, leaving 110): a song is dropped if its all-time search peak falls more than 12 months from its first week at No. 1 (another song or meaning dominates, e.g. "Seven", "Up", "Rockstar"), or if searches in months 13–36 before its peak already averaged ≥10% of the peak (common phrase, e.g. "So What", "Savage"). For 2004–2006 hits, a hand list of generic titles ("Burn", "Yeah!", "Run It", "I Believe") was dropped.
  • Year-after level = mean of months 12–23 after the peak month; year-5 = months 60–71.
  • "One-hit wonder" is defined by weeks at No. 1.

Cite and download

Free to use and cite with a link back to this page.

aisong.lol Research. (2026). The one-hit-wonder curve: how long the world keeps searching for a song after it leaves the chart. aisong.lol. https://aisong.lol/research/the-one-hit-wonder-curve-how-long-the-world-keeps-searching-for-a-song

Use this data. Every table in this study as one spreadsheet-ready file.

↓ Download the data (CSV)