Customereye

Nadracardcentre

Travel & Hospitality • United Kingdomnadracardcentre.co.uk

Review data last updated .

Based on public reviews and response behavior.

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673 days of reviews, with a sparse monthly review flow. Busiest month: 10% of reviews. Languages: en 100%.

Overall Score

83/100
4.02 ★ average rating
83/100 from public reviews over 16 months, moderate confidence.

Travel & Hospitality average: score 64.8, rating 4.12 stars, reply rate 43.4%, over 663 ranked companies · benchmark 5 Nov 2026

Score

83.1

Industry average 64.8

18.3 above average

Rating

4.02

Industry average 4.12

0.10 below average

Reply rate

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Industry average 43.4%

not measured

Competitive Performance Rank

Among ranked Travel & Hospitality companies

#76of 663 ranked in Travel & Hospitality
Top 11% · Top Tierdown 2 from last month
#1 (best)#663 (worst)
#74Peer
#75Peer
#76This company
#77Peer
#78Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

74% of reviews positive, 26% negative

74%
positive
  • Positive74%
  • Neutral0%
  • Negative26%

Sentiment Balance

Covering June 2026, 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

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
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Onboarding
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Response Speed
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Pricing
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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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