Lilly Palmer — BBC Radio 1 Essential Mix by Lilly Palmer May ´22
Hard Techno · 1h 59m · analysed 23 Aug 2026 · source: soundcloud.com
Public mix analysis — no affiliation or endorsement. This report measures a publicly available recording hosted on soundcloud.com. The scores are produced by SOONOS and do not imply any partnership with, or approval by, Lilly Palmer.
In short
BBC Radio 1 Essential Mix by Lilly Palmer May ´22 by Lilly Palmer scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (83/100).
This segment demonstrates how to maintain a high-pressure dancefloor environment without losing technical control.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:30, 30:00, 36:00, 44:15, 48:00, 54:00). Long loops kill dancefloor momentum.
What to try next
- Incorporate more varied melodic textures to enhance emotional depth.
- Experiment with longer, more complex layering during transitions.
- Utilize more dramatic filter sweeps to build tension in breakdowns.
- Incorporate more live-remixing elements to add a layer of unpredictability.
Timestamped insights
Each moment below is tagged with how it was produced: “measured” comes from the DSP pass on the audio, “listening” comes from the multi-agent listening pass.
Perfectly executed transition from the atmospheric intro into the main driving groove.
Smooth integration of new percussive elements before a full energy handoff.
Perfectly executed transition, maintaining the driving energy without any audible dip.
Smooth integration of new melodic elements while keeping the rhythm section locked.
About this hard techno set
BBC Radio 1 Essential Mix by Lilly Palmer May ´22 is a hard techno DJ set by Lilly Palmer, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.
The engine files this performance as “Promising”.
This segment demonstrates how to maintain a high-pressure dancefloor environment without losing technical control.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 83/100.
Analysis coverage for this file is 100% — the share of the set the engine could measure with full confidence.
Energy and structure
The energy curve was sampled at 44 points, moving between 75 and 96 on the SOONOS energy scale — a moderate dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 334.1 grid breaks per hour, with a median beat offset of 14 ms.
How this score is built
Measured layer (DSP): the audio file is analysed directly — beat grid, tempo stability, loudness and energy. These values are measurements, not opinions.
Listening layer: a multi-agent pass reads musical intent — programming, storytelling, coherence and crowd effect. This layer interprets, it does not measure.
Fusion and ceilings: the two layers are merged, and the measured layer always wins on execution. When the DSP hears an execution problem, it caps the final score even if the listening layer is positive.
Measured coverage for this file is 100% of the set.
Full SOONOS analysis
This segment demonstrates how to maintain a high-pressure dancefloor environment without losing technical control.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%87
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%90
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%86
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%83
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%93
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (5)
Long EQ blend with low-end swap on phrase
Perfectly executed transition from the atmospheric intro into the main driving groove.
Percussive layering and high-pass filter sweep
Smooth integration of new percussive elements before a full energy handoff.
Long EQ blend with low-end swap
Perfectly executed transition, maintaining the driving energy without any audible dip.
Mid-range layering and filter sweep
Smooth integration of new melodic elements while keeping the rhythm section locked.
Perfect Blend
Technical subscores
88
EQ balance
94
Beat alignment
91
Energy control
96
Tempo stability
90
Loudness control
89
Musical coherence
86
Harmonic compatibility
90
Transition cleanliness
Measured (DSP)
14 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
126 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
7,124
Boundaries detected
Points where the audio changes track or section.
102
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
814
Clipping events
Moments where the recording hits the ceiling and distorts.
261
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (14:30, 30:00, 36:00, 44:15, 48:00, 54:00). Long loops kill dancefloor momentum.
Timeline
- 0:00Cinematic Intro
- 4:30Energy Drop
- 10:15Tension Peak
- 17:45Percussive Peak
- 20:10Energy Plateau
- 28:30Subtle Energy Sag
Coaching notes
- Incorporate more varied melodic textures to enhance emotional depth.
- Experiment with longer, more complex layering during transitions.
- Utilize more dramatic filter sweeps to build tension in breakdowns.
- Incorporate more live-remixing elements to add a layer of unpredictability.
- Explore deeper melodic breakdowns to create more dramatic tension/release cycles.
- Maintain the current high standard of digital precision and gain staging.
Curious how your own set scores?
Methodology and limitations
This report is produced automatically from the published recording. It measures what is present in the audio file: a bad source encoding, a partial upload or a heavily processed broadcast version can change the measured values. Nothing here reflects the room, the crowd or the night itself.
Read the full SOONOS methodology →Questions about this analysis
- What score does Lilly Palmer's BBC Radio 1 Essential Mix by Lilly Palmer May ´22 get?
- BBC Radio 1 Essential Mix by Lilly Palmer May ´22 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is BBC Radio 1 Essential Mix by Lilly Palmer May ´22?
- The analysed recording runs 1h 59m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 83/100.
- How is this score calculated?
- SOONOS measures the audio with a DSP pass (beat grid, loudness, tempo, energy) and runs a multi-agent listening pass on top. Measured axes always override the listening layer, so an execution issue heard in the file caps the final score.
More Lilly Palmer sets analysed
- Lilly Palmer - Essential Mix 2022-05-2887
- Lilly Palmer live at EDC Las Vegas neonGarden 17/05/202486
- Lilly Palmer pres. Spannung Radio Show #06785
- Lilly Palmer pres. Spannung Radio Show #02385
- Lilly Palmer pres. Spannung Radio Show #05785
- Lilly Palmer pres. Spannung Radio Show #04684
- Lilly Palmer pres. Spannung Radio Show #04784
- Lilly Palmer pres. Spannung Radio Show #05584
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Test how a set like this one would land in a club, a beach club or a festival.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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