Customereye

Happy Mobiles

Mobile & Telecom • United Kingdomhappymobiles.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 567 days (about 5.4 per month). Busiest month: 12% of reviews. Languages: en 100%.

Overall Score

77/100
+33.3 vs. last month4.99 ★ average rating · 100 reviews
77/100 from 100 reviews over 17 months, moderate confidence.

Mobile & Telecom average: score 54.4, rating 3.54 stars, reply rate 34.5%, over 443 ranked companies · benchmark 1 Nov 2026

Score

76.6

Industry average 54.4

22.2 above average

Rating

4.99

Industry average 3.54

1.45 above average

Reply rate

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Industry average 34.5%

not measured

Competitive Performance Rank

Among ranked Mobile & Telecom companies

#59of 443 ranked in Mobile & Telecom
Top 13% · Top Tierup 103 from last month
#1 (best)#443 (worst)
#57Peer
#58Peer
#59This company
#60Peer
#61Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

96% of reviews positive, 4% negative

96%
positive
  • Positive96%
  • Neutral0%
  • Negative4%

Sentiment Balance

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

—
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)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
Hidden
Loyalty
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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