Customereye

SIXT Australia

Automotive & Mobilitywww.sixt.com.au

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 283 days (about 22 per month). Busiest month: 58% of reviews — one month dominates this sample. Languages: en 98%, de 1%, fr 1%.

Overall Score

48/100
−25.0 vs. last month4.12 ★ average rating · 200 reviews
48/100 from 200 reviews over 11 months, moderate confidence. one month holds 58% of the reviews.

Automotive & Mobility average: score 63.6, rating 4.30 stars, reply rate 40.9%, over 2,198 ranked companies · benchmark 12 Oct 2026

Score

48.3

Industry average 63.6

15.3 below average

Rating

4.12

Industry average 4.30

0.18 below average

Reply rate

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Industry average 40.9%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#1876of 2198 ranked in Automotive & Mobility
Top 85% · Bottom Tierup 819 from last month
#1 (best)#2198 (worst)
#1874Peer
#1875Peer
#1876This company
#1877Peer
#1878Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

73% of reviews positive, 27% negative

73%
positive
  • Positive73%
  • Neutral0%
  • Negative27%

Sentiment Balance

Covering October 2026 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 100% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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Pricing
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Onboarding
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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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