Customereye

Noble Claims Services

Finance & Insurancenobleclaims.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 525 days (about 5.8 per month). Busiest month: 13% of reviews. Languages: en 100%.

Overall Score

85/100
+7.5 vs. last month4.47 ★ average rating · 100 reviews
85/100 from 100 reviews over 14 months, moderate confidence.

Finance & Insurance average: score 63.9, rating 4.22 stars, reply rate 45.0%, over 3,263 ranked companies · benchmark 25 Oct 2026

Score

85.4

Industry average 63.9

21.5 above average

Rating

4.47

Industry average 4.22

0.25 above average

Reply rate

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Industry average 45.0%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#291of 3263 ranked in Finance & Insurance
Top 9% · Top Tierup 358 from last month
#1 (best)#3263 (worst)
#289Peer
#290Peer
#291This company
#292Peer
#293Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

83% of reviews positive, 15% negative

83%
positive
  • Positive83%
  • Neutral2%
  • Negative15%

Sentiment Balance

Covering September 2026 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 75% of reviews in this period, with 0% negative and 25% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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Communication
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Onboarding
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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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