Customereye

ARIIVE-eSIMs

Mobile & Telecom • United Kingdomariive-esims.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 99 days (about 31 per month). Busiest month: 43% of reviews. Languages: en 99%, nl 1%.

Overall Score

61/100
Short observation window (99 days)
−20.0 vs. last month4.90 ★ average rating · 100 reviews
61/100 from 100 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Mobile & Telecom average: score 55.0, rating 3.59 stars, reply rate 35.2%, over 428 ranked companies · benchmark 30 Oct 2026

Score

61.0

Industry average 55.0

6.0 above average

Rating

4.90

Industry average 3.59

1.31 above average

Reply rate

—

Industry average 35.2%

not measured

Competitive Performance Rank

Among ranked Mobile & Telecom companies

#183of 428 ranked in Mobile & Telecom
Top 43% · Upper Halfup 7 from last month
#1 (best)#428 (worst)
#181Peer
#182Peer
#183This company
#184Peer
#185Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

95% of reviews positive, 4% negative

95%
positive
  • Positive95%
  • Neutral1%
  • Negative4%

Sentiment Balance

Covering October 2026 — 10 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 20% 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

Customer Support
Hidden
Loyalty
Hidden
Product Quality
Hidden
Hidden

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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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