Customereye

Remote Books Online

Finance & Insuranceremotebooksonline.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,505 days (about 2 per month). Busiest month: 13% of reviews. Languages: en 100%.

Overall Score

67/100
4.69 ★ average rating · 100 reviews
67/100 from 100 reviews over 13 months, moderate confidence.

Finance & Insurance average: score 63.6, rating 4.20 stars, reply rate 46.8%, over 2,869 ranked companies · benchmark 31 Oct 2026

Score

67.3

Industry average 63.6

3.7 above average

Rating

4.69

Industry average 4.20

0.49 above average

Reply rate

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Industry average 46.8%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#1337of 2869 ranked in Finance & Insurance
Top 47% · Upper Half
#1 (best)#2869 (worst)
#1335Peer
#1336Peer
#1337This company
#1338Peer
#1339Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

81% of reviews positive, 18% negative

81%
positive
  • Positive81%
  • Neutral1%
  • Negative18%

Sentiment Balance

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

—
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)
HiddenHidden

Theme Distribution

Share of theme mentions

Loyalty
Hidden
Customer Support
Hidden
Product Quality
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Value For Money
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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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