Customereye

Dress for a Night

Apparel & Fashionwww.dressforanight.com.au

Review data last updated .

Based on public reviews and response behavior.

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76 reviews over 2,163 days (about 1.1 per month). Busiest month: 50% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

72/100
+2.6 vs. last month4.38 ★ average rating · 76 reviews
72/100 from 76 reviews over 4 months, limited confidence. one month holds 50% of the reviews.

Apparel & Fashion average: score 64.0, rating 4.25 stars, reply rate 36.5%, over 3,049 ranked companies · benchmark 19 Oct 2026

Score

72.1

Industry average 64.0

8.1 above average

Rating

4.38

Industry average 4.25

0.13 above average

Reply rate

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Industry average 36.5%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#963of 3049 ranked in Apparel & Fashion
Top 32% · Upper Halfup 20 from last month
#1 (best)#3049 (worst)
#961Peer
#962Peer
#963This company
#964Peer
#965Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

87% of reviews positive, 12% negative

87%
positive
  • Positive87%
  • Neutral1%
  • Negative12%

Sentiment Balance

Covering July 2021 — 9 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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Communication
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Problem Resolution
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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