▁Net ▁Prom oter ▁metric ▁is ▁the ▁best ▁predict or ▁of ▁company ▁growth . ▁Furthermore , ▁Hay es ▁( 2 0 0 8 ) ▁claimed ▁there ▁was ▁no ▁scientific ▁evidence ▁that ▁the ▁" lik elihood ▁to ▁recommend " ▁question ▁is ▁a ▁better ▁predict or ▁of ▁business ▁growth ▁than ▁other ▁customer - loy alty ▁questions ▁( e . g ., ▁overall ▁satisfaction , ▁lik elihood ▁to ▁purchase ▁again ). ▁Specifically , ▁Hay es ▁stated ▁that ▁the ▁" lik elihood ▁to ▁recommend " ▁question ▁does ▁not ▁measure ▁anything ▁different ▁from ▁other ▁conventional ▁loyal ty - related ▁questions . ▁The ▁customer ▁metrics ▁included ▁in ▁this ▁study ▁perform ▁equally ▁well ▁in ▁predict ing ▁current ▁company ▁performance ." ▁ ▁No ▁evidence ▁for ▁ 1 1 ▁point ▁scale ▁superior ity ▁▁ ▁While ▁several ▁studies , ▁such ▁as ▁one ▁by ▁Pr eston ▁and ▁Col man , ▁have ▁shown ▁that ▁there ▁is ▁little ▁statistical ▁difference ▁in ▁reli ability , ▁valid ity , ▁or ▁disc rimin ating ▁power , ▁an ▁un pub lished ▁paper ▁by ▁Schne ider ▁et ▁al ▁( 2 0 0 8 ) ▁found ▁a ▁more ▁nu anced ▁pattern . ▁Out ▁of ▁four ▁scales ▁tested ▁in ▁two ▁studies ▁( the ▁original ▁L TR ▁with ▁neutral ▁label , ▁a ▁ 7 - point ▁version ▁with ▁neutral ▁label , ▁a ▁ 7 ▁point ▁fully ▁l abeled , ▁and ▁ 5 ▁point ▁fully ▁l abeled ), ▁the ▁ 7 - point ▁was ▁a ▁slightly ▁better ▁predict or ▁of ▁stated ▁historical ▁recommend ations ▁than ▁the ▁ 1 1 - point ▁scale ▁advoc ated ▁by ▁Reich