Customereye

Flare

Automotive & Mobility • Australiaflarehr.com

Review data last updated .

Based on public reviews and response behavior.

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238 days of reviews, with a steady monthly review flow. Busiest month: 17% of reviews. Languages: en 100%.

Overall Score

49/100
−5.4 vs. last month4.12 ★ average rating
49/100 from public reviews over 9 months, moderate confidence.

Automotive & Mobility average: score 62.4, rating 4.13 stars, reply rate 38.6%, over 2,618 ranked companies · benchmark 5 Nov 2026

Score

48.5

Industry average 62.4

13.9 below average

Rating

4.12

Industry average 4.13

in line with average

Reply rate

—

Industry average 38.6%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#2148of 2618 ranked in Automotive & Mobility
Top 82% · Bottom Tierup 33 from last month
#1 (best)#2618 (worst)
#2146Peer
#2147Peer
#2148This company
#2149Peer
#2150Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

75% of reviews positive, 25% negative

75%
positive
  • Positive75%
  • Neutral1%
  • Negative25%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 64% of reviews in this period, with 36% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
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Onboarding
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Response Speed
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Loyalty
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Communication
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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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