Customereye

Whistle & Wag

Finance & Insurancewhistleandwag.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 456 days (about 6.7 per month). Busiest month: 13% of reviews. Languages: en 100%.

Overall Score

84/100
−14.3 vs. last month4.65 ★ average rating · 100 reviews
84/100 from 100 reviews over 15 months, moderate confidence.

Finance & Insurance average: score 62.0, rating 4.09 stars, reply rate 43.3%, over 3,560 ranked companies · benchmark 22 Oct 2026

Score

83.8

Industry average 62.0

21.8 above average

Rating

4.65

Industry average 4.09

0.56 above average

Reply rate

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Industry average 43.3%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#342of 3560 ranked in Finance & Insurance
Top 10% · Top Tierdown 456 from last month
#1 (best)#3560 (worst)
#340Peer
#341Peer
#342This company
#343Peer
#344Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

76% of reviews positive, 23% negative

76%
positive
  • Positive76%
  • Neutral1%
  • Negative23%

Sentiment Balance

Covering September 2026 — 7 reviews, 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

Reviews (Count)
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Theme Distribution

Share of theme mentions

Onboarding
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Response Speed
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Customer Support
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Problem Resolution
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Delivery Shipping
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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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