Customereye

TrainPal

Flight & Hotel Bookingmytrainpal.com

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.

200 reviews over 28 days (about 217 per month). Busiest month: 61% of reviews — one month dominates this sample. Languages: en 100%, it 1%.

Overall Score

61/100
Short observation window (28 days)
−5.8 vs. last month3.69 ★ average rating · 200 reviews
61/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 61% of the reviews.

Flight & Hotel Booking average: score 66.7, rating 4.33 stars, reply rate 44.9%, over 1,256 ranked companies · benchmark 6 Oct 2026

Score

60.6

Industry average 66.7

6.1 below average

Rating

3.69

Industry average 4.33

0.64 below average

Reply rate

—

Industry average 44.9%

not measured

Competitive Performance Rank

Among ranked Flight & Hotel Booking companies

#845of 1256 ranked in Flight & Hotel Booking
Top 67% · Mid Pack
#1 (best)#1256 (worst)
#843Peer
#844Peer
#845This company
#846Peer
#847Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

61% of reviews positive, 38% negative

61%
positive
  • Positive61%
  • Neutral2%
  • Negative38%

Sentiment Balance

Covering September 2026 — 79 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 57% of reviews in this period, with 41% negative and 3% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 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

Pricing
Hidden
Onboarding
Hidden
Loyalty
Hidden
Communication
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Product Quality
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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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