Customereye

Monday Swimwear

Hobbies & Arts • United Statesmondayswimwear.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 324 days (about 9.4 per month). Busiest month: 18% of reviews. Languages: en 96%, de 2%, hr 1%.

Overall Score

74/100
+17.8 vs. last month3.79 ★ average rating · 100 reviews
74/100 from 100 reviews over 11 months, moderate confidence.

Hobbies & Arts average: score 65.6, rating 4.46 stars, reply rate 31.7%, over 1,921 ranked companies · benchmark 30 Oct 2026

Score

73.5

Industry average 65.6

7.9 above average

Rating

3.79

Industry average 4.46

0.67 below average

Reply rate

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Industry average 31.7%

not measured

Competitive Performance Rank

Among ranked Hobbies & Arts companies

#529of 1921 ranked in Hobbies & Arts
Top 28% · Upper Halfup 371 from last month
#1 (best)#1921 (worst)
#527Peer
#528Peer
#529This company
#530Peer
#531Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

67% of reviews positive, 29% negative

67%
positive
  • Positive67%
  • Neutral4%
  • Negative29%

Sentiment Balance

Covering August 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 0% negative and 20% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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Pricing
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Value For Money
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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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