Customereye

Nomad eSIM

Software & Web Services • United Stateswww.getnomad.app

Review data last updated .

Based on public reviews and response behavior.

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600 reviews over 41 days (about 445 per month). Busiest month: 57% of reviews — one month dominates this sample.

Overall Score

48/100
+5.9 vs. last month4.48 ★ average rating · 600 reviews
48/100 from 600 reviews over 2 months, moderate confidence. one month holds 57% of the reviews.

Software & Web Services average: score 61.8, rating 4.15 stars, reply rate 34.4%, over 3,145 ranked companies · benchmark 24 Oct 2026

Score

47.5

Industry average 61.8

14.3 below average

Rating

4.48

Industry average 4.15

0.33 above average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2652of 3145 ranked in Software & Web Services
Top 84% · Bottom Tierup 11 from last month
#1 (best)#3145 (worst)
#2650Peer
#2651Peer
#2652This company
#2653Peer
#2654Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

71% of reviews positive, 28% negative

71%
positive
  • Positive71%
  • Neutral2%
  • Negative28%

Sentiment Balance

Covering September 2024 — 259 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 75% of reviews in this period, with 25% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Onboarding
Hidden
Product Quality
Hidden
Pricing
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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