Customereye

Inca Expert Travel

Flight & Hotel Booking • United Statesincaexpert.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 146 days (about 21 per month). Busiest month: 42% of reviews. Languages: en 98%, es 2%.

Overall Score

91/100
Short observation window (146 days)
4.93 ★ average rating · 100 reviews
91/100 from 100 reviews over 5 months, moderate confidence. trend not shown: window under six months.

Flight & Hotel Booking average: score 66.3, rating 4.29 stars, reply rate 42.1%, over 1,798 ranked companies · benchmark 16 Oct 2026

Score

91.0

Industry average 66.3

24.7 above average

Rating

4.93

Industry average 4.29

0.64 above average

Reply rate

—

Industry average 42.1%

not measured

Competitive Performance Rank

Among ranked Flight & Hotel Booking companies

#163of 1798 ranked in Flight & Hotel Booking
Top 9% · Top Tierup 30 from last month
#1 (best)#1798 (worst)
#161Peer
#162Peer
#163This company
#164Peer
#165Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

99% of reviews positive, 0% negative

99%
positive
  • Positive99%
  • Neutral1%
  • Negative0%

Sentiment Balance

Covering August 2026 — 16 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 5 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Product Quality
Hidden
Loyalty
Hidden
Customer Support
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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