Customereye

Belovedgift

Fraud & Illegal Servicesbelovedgift.com

Review data last updated .

Based on public reviews and response behavior.

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91 reviews over 341 days (about 8.1 per month). Busiest month: 41% of reviews. Languages: en 52%, de 32%, fr 7%.

Overall Score

9/100
Short observation window (341 days)
+14.5 vs. last month1.00 ★ average rating · 91 reviews
9/100 from 91 reviews over 3 months, limited 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

9.0

Industry average 38.8

29.8 below average

Rating

1.00

Industry average 2.45

1.45 below average

Reply rate

—

Industry average 16.2%

not measured

Competitive Performance Rank

Among ranked Fraud & Illegal Services companies

#157of 160 ranked in Fraud & Illegal Services
Top 98% · Bottom Tierup 13 from last month
#1 (best)#160 (worst)
#155Peer
#156Peer
#157This company
#158Peer
#159Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

9% of reviews positive, 91% negative

9%
positive
  • Positive9%
  • Neutral0%
  • Negative91%

Sentiment Balance

Covering December 2025 — 29 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 17% of reviews in this period, with 83% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 3 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Pricing
Hidden
Delivery Shipping
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Loyalty
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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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