Customereye

Tiny Land

Entertainment & Events • United Statestinylandus.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 94 days (about 32 per month). Busiest month: 33% of reviews. Languages: en 98%, es 1%, unknown 1%.

Overall Score

78/100
Short observation window (94 days)
+16.7 vs. last month4.56 ★ average rating · 100 reviews
78/100 from 100 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Entertainment & Events average: score 59.7, rating 4.06 stars, reply rate 34.9%, over 991 ranked companies · benchmark 6 Oct 2026

Score

78.1

Industry average 59.7

18.4 above average

Rating

4.56

Industry average 4.06

0.50 above average

Reply rate

—

Industry average 34.9%

not measured

Competitive Performance Rank

Among ranked Entertainment & Events companies

#138of 991 ranked in Entertainment & Events
Top 14% · Top Tier
#1 (best)#991 (worst)
#136Peer
#137Peer
#138This company
#139Peer
#140Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

87% of reviews positive, 13% negative

87%
positive
  • Positive87%
  • Neutral0%
  • Negative13%

Sentiment Balance

Covering August 2026 — 10 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

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

Theme Distribution

Share of theme mentions

Product Quality
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Customer Support
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Delivery Shipping
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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 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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