Customereye

Mobile Monster

Tech & Electronicsmobilemonster.com.au

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

200 reviews over 41 days (about 148 per month). Busiest month: 63% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

73/100
Short observation window (41 days)
−0.7 vs. last month4.89 ★ average rating · 200 reviews
73/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 63% of the reviews.

Tech & Electronics average: score 59.9, rating 4.23 stars, reply rate 29.2%, over 830 ranked companies · benchmark 9 Oct 2026

Score

73.3

Industry average 59.9

13.4 above average

Rating

4.89

Industry average 4.23

0.66 above average

Reply rate

—

Industry average 29.2%

not measured

Competitive Performance Rank

Among ranked Tech & Electronics companies

#150of 830 ranked in Tech & Electronics
Top 18% · Top Tierup 14 from last month
#1 (best)#830 (worst)
#148Peer
#149Peer
#150This company
#151Peer
#152Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

86% of reviews positive, 14% negative

86%
positive
  • Positive86%
  • Neutral1%
  • Negative14%

Sentiment Balance

Covering September 2026 — 74 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 85% of reviews in this period, with 14% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Onboarding
Hidden
Communication
Hidden
Response Speed
Hidden
Problem Resolution
Hidden
Hidden

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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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