Customereye

Dollyluxuryhair

Beauty & Wellness • United Kingdomdollyluxuryhair.com

Review data last updated .

Based on public reviews and response behavior.

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1,832 days of reviews, with a sparse monthly review flow. Busiest month: 20% of reviews. Languages: en 99%, it 1%.

Overall Score

73/100
+8.3 vs. last month3.80 ★ average rating
73/100 from public reviews over 12 months, moderate confidence.

Beauty & Wellness average: score 65.4, rating 4.29 stars, reply rate 40.3%, over 1,851 ranked companies · benchmark 5 Nov 2026

Score

73.4

Industry average 65.4

8.0 above average

Rating

3.80

Industry average 4.29

0.49 below average

Reply rate

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Industry average 40.3%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#558of 1851 ranked in Beauty & Wellness
Top 30% · Upper Halfup 72 from last month
#1 (best)#1851 (worst)
#556Peer
#557Peer
#558This company
#559Peer
#560Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

75% of reviews positive, 25% negative

75%
positive
  • Positive75%
  • Neutral0%
  • Negative25%

Sentiment Balance

Covering November 2025, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 75% of reviews in this period, with 25% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Loyalty
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Response Speed
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Communication
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. The analysis identifies patterns across many reviews at once and is not intended as a judgement on any individual one. For a complete analysis covering all available feedback, using AI rather than automated rules, .

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