Customereye

Smartmoneyteam

Finance & Insurancesmartmoneyteam.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,065 days (about 2.9 per month). Busiest month: 29% of reviews. Languages: en 100%.

Overall Score

60/100
−18.2 vs. last month4.82 ★ average rating · 100 reviews
60/100 from 100 reviews over 10 months, moderate confidence.

Finance & Insurance average: score 63.9, rating 4.22 stars, reply rate 45.0%, over 3,264 ranked companies · benchmark 23 Oct 2026

Score

59.9

Industry average 63.9

4.0 below average

Rating

4.82

Industry average 4.22

0.60 above average

Reply rate

—

Industry average 45.0%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#2070of 3264 ranked in Finance & Insurance
Top 63% · Mid Packup 137 from last month
#1 (best)#3264 (worst)
#2068Peer
#2069Peer
#2070This company
#2071Peer
#2072Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

85% of reviews positive, 13% negative

85%
positive
  • Positive85%
  • Neutral2%
  • Negative13%

Sentiment Balance

Covering October 2026 — 8 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
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Onboarding
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Product Quality
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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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