Customereye

Amber Electric

Energy & Utilities • Australiaamber.com.au

Review data last updated .

Based on public reviews and response behavior.

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385 reviews over 2,378 days (about 4.9 per month). Busiest month: 22% of reviews. Languages: en 91%, unknown 9%.

Overall Score

44/100
+8.0 vs. last month3.40 ★ average rating · 385 reviews
44/100 from 385 reviews over 32 months, high confidence.

Energy & Utilities average: score 66.1, rating 4.23 stars, reply rate 51.2%, over 504 ranked companies · benchmark 30 Oct 2026

Score

44.0

Industry average 66.1

22.1 below average

Rating

3.40

Industry average 4.23

0.83 below average

Reply rate

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Industry average 51.2%

not measured

Competitive Performance Rank

Among ranked Energy & Utilities companies

#455of 504 ranked in Energy & Utilities
Top 90% · Bottom Tierup 54 from last month
#1 (best)#504 (worst)
#453Peer
#454Peer
#455This company
#456Peer
#457Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

61% of reviews positive, 37% negative

61%
positive
  • Positive61%
  • Neutral3%
  • Negative37%

Sentiment Balance

Covering August 2026 — 61 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 84% of reviews in this period, with 16% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Pricing
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Product Quality
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Communication
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Loyalty
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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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