Customereye

Goodcover

Finance & Insurancewww.goodcover.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 234 days (about 13 per month). Busiest month: 19% of reviews. Languages: en 98%, es 2%.

Overall Score

75/100
−21.8 vs. last month4.24 ★ average rating · 100 reviews
75/100 from 100 reviews over 9 months, moderate 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

75.0

Industry average 62.0

13.0 above average

Rating

4.24

Industry average 4.09

0.15 above average

Reply rate

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Industry average 43.3%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#780of 3562 ranked in Finance & Insurance
Top 22% · Top Tierup 476 from last month
#1 (best)#3562 (worst)
#778Peer
#779Peer
#780This company
#781Peer
#782Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

70% of reviews positive, 27% negative

70%
positive
  • Positive70%
  • Neutral3%
  • Negative27%

Sentiment Balance

Covering October 2026 — 5 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 60% of reviews in this period, with 40% 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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Pricing
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Customer Support
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Loyalty
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Communication
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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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