Customereye

MLG CASH

Mobile & Telecommlgcashinc.com

Review data last updated .

Based on public reviews and response behavior.

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92 reviews over 277 days (about 10 per month). Busiest month: 24% of reviews. Languages: en 100%.

Overall Score

87/100
−3.5 vs. last month4.72 ★ average rating · 92 reviews
87/100 from 92 reviews over 6 months, limited confidence.

Mobile & Telecom average: score 55.9, rating 3.66 stars, reply rate 35.0%, over 546 ranked companies · benchmark 22 Oct 2026

Score

86.7

Industry average 55.9

30.8 above average

Rating

4.72

Industry average 3.66

1.06 above average

Reply rate

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Industry average 35.0%

not measured

Competitive Performance Rank

Among ranked Mobile & Telecom companies

#34of 546 ranked in Mobile & Telecom
Top 6% · Top Tierdown 7 from last month
#1 (best)#546 (worst)
#32Peer
#33Peer
#34This company
#35Peer
#36Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

80% of reviews positive, 15% negative

80%
positive
  • Positive80%
  • Neutral4%
  • Negative15%

Sentiment Balance

Covering December 2025 — 22 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 82% of reviews in this period, with 14% negative and 5% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Onboarding
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Response Speed
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Customer Support
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Problem Resolution
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Delivery Shipping
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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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