Customereye

Llama Leisure

Apparel & Fashionllamaleisure.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 11 days (about 553 per month). Busiest month: 100% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

68/100
Short observation window (11 days)
4.89 ★ average rating · 200 reviews
68/100 from 200 reviews over 1 months, moderate confidence. trend not shown: window under six months. one month holds 100% of the reviews.

Apparel & Fashion average: score 63.5, rating 4.26 stars, reply rate 38.3%, over 2,186 ranked companies · benchmark 12 Oct 2026

Score

67.6

Industry average 63.5

4.1 above average

Rating

4.89

Industry average 4.26

0.63 above average

Reply rate

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Industry average 38.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#928of 2186 ranked in Apparel & Fashion
Top 42% · Upper Half
#1 (best)#2186 (worst)
#926Peer
#927Peer
#928This company
#929Peer
#930Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

95% of reviews positive, 5% negative

95%
positive
  • Positive95%
  • Neutral1%
  • Negative5%

Sentiment Balance

Covering September 2026 — 200 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 95% of reviews in this period, with 5% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 1 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

Delivery Shipping
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Product Quality
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Response Speed
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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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