Customereye

Financial Rescue LLC

Finance & Insurancefinancialrescuellc.com

Review data last updated .

Based on public reviews and response behavior.

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1,132 days of reviews, with a sparse monthly review flow. Busiest month: 8% of reviews. Languages: en 94%, unknown 4%, ca 1%.

Overall Score

65/100
+14.3 vs. last month4.88 ★ average rating
65/100 from public reviews over 17 months, moderate confidence.

Finance & Insurance average: score 63.8, rating 4.21 stars, reply rate 46.8%, over 2,827 ranked companies · benchmark 5 Nov 2026

Score

65.0

Industry average 63.8

1.2 above average

Rating

4.88

Industry average 4.21

0.67 above average

Reply rate

—

Industry average 46.8%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#1479of 2827 ranked in Finance & Insurance
Top 52% · Mid Packup 176 from last month
#1 (best)#2827 (worst)
#1477Peer
#1478Peer
#1479This company
#1480Peer
#1481Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

96% of reviews positive, 4% negative

96%
positive
  • Positive96%
  • Neutral0%
  • Negative4%

Sentiment Balance

Covering December 2024, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
Hidden
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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