Customereye

explodely.com

Fraud & Illegal Servicesexplodely.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 72 days (about 42 per month). Busiest month: 39% of reviews. Languages: en 99%, fr 1%.

Overall Score

54/100
Short observation window (72 days)
−11.3 vs. last month3.16 ★ average rating · 100 reviews
54/100 from 100 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Fraud & Illegal Services average: score 38.8, rating 2.45 stars, reply rate 16.2%, over 160 ranked companies · benchmark 12 Oct 2026

Score

54.1

Industry average 38.8

15.3 above average

Rating

3.16

Industry average 2.45

0.71 above average

Reply rate

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Industry average 16.2%

not measured

Competitive Performance Rank

Among ranked Fraud & Illegal Services companies

#31of 160 ranked in Fraud & Illegal Services
Top 19% · Top Tierup 4 from last month
#1 (best)#160 (worst)
#29Peer
#30Peer
#31This company
#32Peer
#33Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

51% of reviews positive, 47% negative

51%
positive
  • Positive51%
  • Neutral2%
  • Negative47%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 40% of reviews in this period, with 60% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 4 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Loyalty
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Pricing
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Customer Support
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Response Speed
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Product Quality
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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