Customereye

People Like Us Home Exchange

Travel & Hospitality • United Statespeoplelikeus.world

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

100 reviews over 163 days (about 19 per month). Busiest month: 23% of reviews. Languages: en 95%, fr 2%, unknown 2%.

Overall Score

77/100
Short observation window (163 days)
+8.7 vs. last month4.93 ★ average rating · 100 reviews
77/100 from 100 reviews over 6 months, moderate confidence. trend not shown: window under six months.

Travel & Hospitality average: score 61.3, rating 3.93 stars, reply rate 39.5%, over 971 ranked companies · benchmark 13 Oct 2026

Score

76.5

Industry average 61.3

15.2 above average

Rating

4.93

Industry average 3.93

1.00 above average

Reply rate

—

Industry average 39.5%

not measured

Competitive Performance Rank

Among ranked Travel & Hospitality companies

#216of 971 ranked in Travel & Hospitality
Top 22% · Top Tierup 135 from last month
#1 (best)#971 (worst)
#214Peer
#215Peer
#216This company
#217Peer
#218Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

96% of reviews positive, 3% negative

96%
positive
  • Positive96%
  • Neutral1%
  • Negative3%

Sentiment Balance

Covering August 2026 — 8 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 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
Hidden
Loyalty
Hidden
Hidden

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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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