Customereye

mfamilybox

Apparel & Fashionmfamilybox.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,242 days (about 1.4 per month). Busiest month: 25% of reviews. Languages: en 100%.

Overall Score

51/100
+50.0 vs. last month4.43 ★ average rating · 100 reviews
51/100 from 100 reviews over 8 months, moderate confidence.

Apparel & Fashion average: score 61.9, rating 4.06 stars, reply rate 36.3%, over 2,808 ranked companies · benchmark 2 Nov 2026

Score

50.9

Industry average 61.9

11.0 below average

Rating

4.43

Industry average 4.06

0.37 above average

Reply rate

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Industry average 36.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2182of 2808 ranked in Apparel & Fashion
Top 78% · Bottom Tierup 12 from last month
#1 (best)#2808 (worst)
#2180Peer
#2181Peer
#2182This company
#2183Peer
#2184Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

78% of reviews positive, 21% negative

78%
positive
  • Positive78%
  • Neutral1%
  • Negative21%

Sentiment Balance

Covering November 2020 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 50% of reviews in this period, with 50% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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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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Customer Support
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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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