Customereye

RIHOAS

Apparel & Fashion • United Statesrihoas.com

Review data last updated .

Based on public reviews and response behavior.

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112 reviews over 150 days (about 23 per month). Busiest month: 70% of reviews — one month dominates this sample. Languages: en 84%, fr 5%, it 5%.

Overall Score

60/100
Short observation window (150 days)
−19.2 vs. last month3.24 ★ average rating · 112 reviews
60/100 from 112 reviews over 4 months, moderate confidence. trend not shown: window under six months. one month holds 70% of the reviews.

Apparel & Fashion average: score 62.9, rating 4.25 stars, reply rate 39.8%, over 1,693 ranked companies · benchmark 7 Oct 2026

Score

60.2

Industry average 62.9

2.7 below average

Rating

3.24

Industry average 4.25

1.01 below average

Reply rate

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Industry average 39.8%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#937of 1693 ranked in Apparel & Fashion
Top 55% · Mid Pack
#1 (best)#1693 (worst)
#935Peer
#936Peer
#937This company
#938Peer
#939Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

56% of reviews positive, 42% negative

56%
positive
  • Positive56%
  • Neutral2%
  • Negative42%

Sentiment Balance

Covering August 2026 — 27 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 44% of reviews in this period, with 52% negative and 4% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 4 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Product Quality
Hidden
Delivery Shipping
Hidden
Loyalty
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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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