Customereye

Fit And Fabulous

Apparel & Fashion • United Statesfit-and-fabulous.net

Review data last updated .

Based on public reviews and response behavior.

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344 days of reviews, with a steady monthly review flow. Busiest month: 27% of reviews. Languages: en 100%.

Overall Score

54/100
−22.8 vs. last month3.08 ★ average rating
54/100 from public reviews over 12 months, moderate confidence.

Apparel & Fashion average: score 61.5, rating 4.02 stars, reply rate 35.3%, over 3,006 ranked companies · benchmark 5 Nov 2026

Score

54.3

Industry average 61.5

7.2 below average

Rating

3.08

Industry average 4.02

0.94 below average

Reply rate

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Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2099of 3006 ranked in Apparel & Fashion
Top 70% · Mid Packup 760 from last month
#1 (best)#3006 (worst)
#2097Peer
#2098Peer
#2099This company
#2100Peer
#2101Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

46% of reviews positive, 52% negative

46%
positive
  • Positive46%
  • Neutral3%
  • Negative52%

Sentiment Balance

Covering October 2026, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 41% of reviews in this period, with 59% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Communication
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Loyalty
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Onboarding
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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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