KiiBoom Allure Review: Ranked #609 of 1253

Last updated: October 16, 2026

The KiiBoom Allure ranks #609 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Kiiboom

Prices on this page were last checked October 16, 2026 at 5:46 PM UTC. Product prices and availability are accurate as of that date/time and are subject to change; the price and availability shown on Amazon at the time of purchase will apply to the purchase of this product.

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#609 KiiBoom Allure: $99.99 Amazon $99.99 eBay

Pros: A broadly balanced tuning with a preference score of 71 against the Harman target.

Cons: Treble about 4 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. An uneven response, 2.1 dB standard deviation from target.

Is the KiiBoom Allure right for you?

Buy it if

  • your taste runs warm: it scores 81 for that sound.
  • you are sensitive to bright or sharp treble (treble sits 4.1 dB below target).
  • you want sub-bass rumble that reaches down to 20 Hz.
  • you are happy to use EQ: our preset lifts its Harman match by about 18 points.

Skip it if

  • you want the best value: the higher-rated EPZ G10 costs about $76 less.
BackClosed
ConnectionWired
Deviation From Target2.11 dB standard deviation
Driver TypeDynamic
Drivers1 x 10mm dynamic
Form FactorIn-ear
Harman Preference Score71 (median of 7 squig.link measurements, calibrated to AutoEQ)
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-0.9 dB at 30 Hz)
Tonal Tilt-0.47 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 89 out of 100, up from 71.

FilterFrequencyGainQ
Low shelf105 Hz+1.0 dB0.70
High shelf10,000 Hz+1.2 dB0.70
Peak174 Hz-2.0 dB1.01
Peak666 Hz+1.4 dB2.06
Peak1,896 Hz-3.1 dB3.40
Peak2,265 Hz-1.2 dB6.00
Peak3,371 Hz+3.2 dB4.15
Peak5,345 Hz+4.7 dB1.09
Peak6,816 Hz-2.0 dB6.00

Neutral target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 91 out of 100, up from 38.

FilterFrequencyGainQ
Low shelf105 Hz-7.6 dB0.70
High shelf10,000 Hz+1.2 dB0.70
Peak138 Hz-2.0 dB0.75
Peak671 Hz+1.4 dB2.15
Peak1,896 Hz-3.1 dB3.40
Peak2,265 Hz-1.2 dB6.00
Peak3,371 Hz+3.1 dB4.15
Peak5,345 Hz+4.8 dB1.09
Peak6,816 Hz-2.0 dB6.00

Studio flat target

Set a preamp of -6.3 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 89 out of 100, up from 21.

FilterFrequencyGainQ
Low shelf105 Hz-10.1 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak167 Hz-3.9 dB0.81
Peak693 Hz+1.4 dB2.48
Peak1,838 Hz-2.4 dB3.35
Peak2,878 Hz+1.6 dB6.00
Peak3,573 Hz+6.0 dB1.65
Peak5,920 Hz+3.2 dB6.00

Warm target

Set a preamp of -3.7 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 91 out of 100, up from 81.

FilterFrequencyGainQ
Low shelf105 Hz+1.2 dB0.70
High shelf10,000 Hz-1.2 dB0.70
Peak153 Hz-1.8 dB1.04
Peak682 Hz+1.7 dB1.97
Peak1,938 Hz-3.6 dB3.18
Peak3,378 Hz+2.6 dB4.52
Peak5,345 Hz+3.1 dB1.23

Bass target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 91 out of 100, up from 70.

FilterFrequencyGainQ
Low shelf105 Hz+4.8 dB0.70
High shelf10,000 Hz+1.2 dB0.70
Peak174 Hz-2.1 dB1.08
Peak672 Hz+1.4 dB2.15
Peak1,895 Hz-3.1 dB3.39
Peak2,265 Hz-1.2 dB6.00
Peak3,371 Hz+3.2 dB4.15
Peak5,345 Hz+4.7 dB1.09
Peak6,815 Hz-2.0 dB6.00

Bright target

Set a preamp of -6.5 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 80 out of 100, up from 26.

FilterFrequencyGainQ
Low shelf105 Hz-7.6 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak137 Hz-2.0 dB0.73
Peak678 Hz+1.4 dB2.02
Peak1,952 Hz-3.5 dB2.48
Peak3,146 Hz+1.2 dB6.00
Peak3,807 Hz+6.0 dB1.42
Peak5,573 Hz+3.9 dB4.37

V-shaped target

Set a preamp of -6.4 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 76 out of 100, up from 62.

FilterFrequencyGainQ
Low shelf105 Hz+5.4 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak569 Hz+1.3 dB1.96
Peak1,886 Hz-3.1 dB2.39
Peak3,097 Hz+1.5 dB6.00
Peak3,807 Hz+6.0 dB1.32
Peak5,574 Hz+3.6 dB4.49

Frequency Response

How the KiiBoom Allure measures across the audible range, against the Harman in-ear target that most listeners prefer in blind tests. Where the line sits above the target that range sounds louder (more bass, brighter treble), below it quieter. The curve is the median of 7 independent measurements, so one odd sample or rig cannot skew it, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.

KiiBoom AllureHarman target
Measured frequency response of the KiiBoom Allure-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 7 measurements from the squig.link databases of cqtek, harpo, hore, ianfann, pw, soundcheck39 and vortexreviews. Thanks to each of them for publishing their work.

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