Customereye

Inghams

Flight & Hotel Booking • United Kingdominghams.co.uk

Review data last updated .

Based on public reviews and response behavior.

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260 days of reviews, with a steady monthly review flow. Busiest month: 28% of reviews. Languages: en 100%.

Overall Score

92/100
−14.3 vs. last month4.60 ★ average rating
92/100 from public reviews over 9 months, moderate confidence.

Flight & Hotel Booking average: score 69.9, rating 4.45 stars, reply rate 46.6%, over 1,254 ranked companies · benchmark 4 Nov 2026

Score

92.0

Industry average 69.9

22.1 above average

Rating

4.60

Industry average 4.45

0.15 above average

Reply rate

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Industry average 46.6%

not measured

Competitive Performance Rank

Among ranked Flight & Hotel Booking companies

#110of 1254 ranked in Flight & Hotel Booking
Top 9% · Top Tierdown 331 from last month
#1 (best)#1254 (worst)
#108Peer
#109Peer
#110This company
#111Peer
#112Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

89% of reviews positive, 11% negative

89%
positive
  • Positive89%
  • Neutral1%
  • Negative11%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 86% of reviews in this period, with 14% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
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Loyalty
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Problem Resolution
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. 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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