Customereye

Property Claim Assist

Finance & Insurancepropertyclaimassist.co.uk

Review data last updated .

Based on public reviews and response behavior.

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66 reviews over 1,797 days (about 1.1 per month). Busiest month: 6% of reviews. Languages: en 100%.

Overall Score

82/100
4.85 ★ average rating · 66 reviews
82/100 from 66 reviews over 8 months, limited confidence.

Finance & Insurance average: score 62.0, rating 4.09 stars, reply rate 43.3%, over 3,562 ranked companies · benchmark 21 Oct 2026

Score

81.9

Industry average 62.0

19.9 above average

Rating

4.85

Industry average 4.09

0.76 above average

Reply rate

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Industry average 43.3%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#404of 3562 ranked in Finance & Insurance
Top 11% · Top Tier
#1 (best)#3562 (worst)
#402Peer
#403Peer
#404This company
#405Peer
#406Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

82% of reviews positive, 18% negative

82%
positive
  • Positive82%
  • Neutral0%
  • Negative18%

Sentiment Balance

Covering April 2026 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Loyalty
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Customer Support
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Onboarding
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Delivery Shipping
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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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