Customereye

TradingPRO

Finance & Insurancetradingpro.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 811 days (about 3.8 per month). Busiest month: 9% of reviews. Languages: en 92%, id 6%, es 1%.

Overall Score

83/100
+20.0 vs. last month4.07 ★ average rating · 100 reviews
83/100 from 100 reviews over 14 months, moderate confidence.

Finance & Insurance average: score 62.0, rating 4.09 stars, reply rate 43.3%, over 3,560 ranked companies · benchmark 23 Oct 2026

Score

82.8

Industry average 62.0

20.8 above average

Rating

4.07

Industry average 4.09

0.02 below average

Reply rate

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Industry average 43.3%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#377of 3560 ranked in Finance & Insurance
Top 11% · Top Tierup 460 from last month
#1 (best)#3560 (worst)
#375Peer
#376Peer
#377This company
#378Peer
#379Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

74% of reviews positive, 26% negative

74%
positive
  • Positive74%
  • Neutral0%
  • Negative26%

Sentiment Balance

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

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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

Reviews (Count)
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Theme Distribution

Share of theme mentions

Response Speed
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Customer Support
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Loyalty
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Problem Resolution
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Pricing
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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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