Bell TowersIn-Store 006 - BELL TOWERS

    Indie House · 1h 03m · analysed 21 Aug 2026

    Overall score
    73/100
    Level
    solid
    Duration
    1h 03m
    Genre
    Indie House

    About this indie house set

    In-Store 006 - BELL TOWERS is a indie house DJ set by Bell Towers, running 1h 03m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.

    The engine files this performance as “Promising”.

    The DJ's strength lies in their ability to weave disparate sounds into a single, compelling story.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 85/100; the weakest is SURPRISE at 71/100.

    The final score is capped by measured -: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.

    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 33 points, moving between 20 and 78 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 541.0 grid breaks per hour, with a median beat offset of 15 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    The DJ's strength lies in their ability to weave disparate sounds into a single, compelling story.

    The 8 dimensions

    Technical precision0
    Track selection0
    Energy arc0
    Crowd control0
    Harmonic depth0
    Groove patience0
    Creativity0
    Signature0

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%85
    Beat Alignmentmeasured89
    Transition Qualitymeasured87
    Phrase Accuracymeasured86
    EQ & Frequency Control (estimated)measured79
    Tempo Stability (estimated)measured88
    Technical Cleanlinessmeasured74

    STORYTELLING

    Did the mix go somewhere?

    25%76
    Narrative ArcAI82
    ProgressionAI74
    Tension & ReleaseAI70
    Section AwarenessAI78
    Flow ContinuityAI83
    PayoffAI71

    ENERGY

    Did you control the room?

    20%75
    Energy Curvemeasured75
    PacingAI78
    MomentumAI82
    Peak ManagementAI71
    Energy HandoffAI74
    Fatigue ControlAI59

    SURPRISE

    Did you remain unpredictable?

    15%71
    Unexpected MomentsAI69
    ContrastAI70
    Transition Varietymeasured84
    Selection RiskAI70
    FreshnessAI59
    Surprise ControlAI69

    IDENTITY

    Did the mix sound like you?

    15%82
    Selection QualityAI82
    Identity ConsistencyAI89
    IntentionalityAI79
    ConfidenceAI77
    RestraintAI83
    SignatureAI77

    Final score capped by measured execution (-) — weighted average was 78.

    Energy arc

    0:0062:30

    Transitions analysed (6)

    4:22

    EQ blend with level jump

    A slightly noticeable jump in volume as the new track takes over.

    65
    8:35

    Long EQ blend

    Smooth handover of percussive elements, maintaining energy.

    85
    10:45

    Long EQ blend

    Perfectly executed handover of the low end.

    92
    14:20

    Phrased vocal blend

    Vocal elements from the incoming track sit perfectly in the mix.

    85
    21:45

    Long percussive blend

    Seamless integration of new drum patterns.

    88
    26:20

    EQ-based transition

    Smooth handover of the low-end frequencies.

    78

    Technical subscores

    79

    EQ balance

    87

    Beat alignment

    78

    Energy control

    88

    Tempo stability

    78

    Loudness control

    80

    Musical coherence

    82

    Harmonic compatibility

    82

    Transition cleanliness

    Measured (DSP)

    14.5 ms

    Beat-grid drift (median)

    155.7 ms

    Drift p95

    3,734

    Boundaries detected

    23

    Hard cuts / h

    13

    Clipping events

    708

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Recurring mid-frequency clash

      Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (4:22, 26:20).

    • Long static loops (5×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (15:00, 28:30, 31:00, 34:15, 46:00). Long loops kill dancefloor momentum.

    Timeline

    • 1:15Atmospheric Hook
    • 4:22Level Jump
    • 13:45Groove Lock
    • 19:15Energy Plateau
    • 24:30Groove Lock
    • 29:15Vocal Entry

    Coaching notes

    • Refine gain matching to avoid noticeable level jumps during transitions.
    • Experiment with more creative EQ work to further blend the eclectic track choices.
    • Continue to lean into the unique, narrative-driven selection that defines your style.
    • Use more aggressive high-pass filtering during transitions to create 'air' before the next track drops.
    • Experiment with layering acapellas to add a unique signature to the vocal sections.
    • Vary the transition lengths; while long blends work well, a few shorter 'cuts' could add needed surprise.
    • Use subtle delay or reverb throws on vocal tails to smooth out transitions.
    • Experiment with 'teasing' the incoming track's melody earlier in the blend.
    • Vary the transition lengths to keep the listener guessing.
    • Focus on high-frequency EQ management to ensure the mix stays crisp during dense layers.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Bell Towers's In-Store 006 - BELL TOWERS get?
    In-Store 006 - BELL TOWERS scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is In-Store 006 - BELL TOWERS?
    The analysed recording runs 1h 03m.
    Which part of the mix scores best?
    TECHNIQUE is the strongest category at 85/100, while SURPRISE is the lowest at 71/100.
    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.

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