Songs / F Major · 150 BPM
These Boots Were Made for Walkin' by Emilie-Claire Barlow
These Boots Were Made for Walkin' by Emilie-Claire Barlow is in the key of F Major and runs at 150 BPM (or 75 BPM if you count it half-time), a fast, high-energy tempo. Its Camelot code is 7B, which is what you match against when you are mixing it harmonically with another track.
What mixes with These Boots Were Made for Walkin'
On the Camelot wheel, These Boots Were Made for Walkin' sits at 7B. These keys blend with it without clashing, so tracks in them are safe to beatmatch in or out:
- 8Benergy boost
- 6Benergy drop
- 7Arelative minor
Mixes well with These Boots Were Made for Walkin'
Real tracks from the database that are both harmonically compatible and close enough in tempo to beatmatch — ±6% on a pitch fader, or half/double time. Same key first, then the nearest energy step on the wheel.
- Por Mi No Te Detengas — Banda MS de Sergio Lizárraga
- Mi Mayor Anhelo — Banda MS de Sergio Lizárraga
- Frostbite — Trevor Rabin
- Era Um Garoto Que Como Eu Amava Os Beatles E Os Rollings Stones (C'Era Un Ragazzo Che Come Me Amava I Beatles E I Rolling Stones) (Ao Vivo) — Engenheiros do Hawaii
- Gazania — Trevor Rabin
- Harry & Grace Make Peace — Trevor Rabin
- Theme From Armageddon — Trevor Rabin
- Me Before You Orchestral — Craig Armstrong
Tracks to mix into it
Other analyzed songs in a compatible key, ready to line up next in a set:
More songs in F Major
- Gazania — Trevor Rabin
- Frostbite — Trevor Rabin
- Andromède: "Sur ses flots irrités" (Tempête, Andante) — Eva Zaïcik
- Le lever de l'aurore: "L'astre que le silence suit" (Lent, Récitatif, Un peu gay, Fort gay) — Eva Zaïcik
- Breaking up Is Hard to Do — Emilie-Claire Barlow
- The Beat Goes On/Soul Bossa Nova — Emilie-Claire Barlow
All songs in F Major →All songs at 150 BPM →Camelot wheel →
These figures come from analyzing an official 30-second preview of the track with TuneBad’s in-browser engine. Tempo and key are reliable, but a preview is a sample of the full song, so treat them as a strong estimate. For an exact read, analyze the full file yourself — it is free and runs entirely in your browser.
