Customereye

Fleet Evolution

Automotive & Mobility • United Kingdomwww.fleetevolution.com

Review data last updated .

Based on public reviews and response behavior.

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112 reviews over 323 days (about 11 per month). Busiest month: 46% of reviews. Languages: en 100%.

Overall Score

58/100
−16.7 vs. last month4.40 ★ average rating · 112 reviews
58/100 from 112 reviews over 11 months, moderate confidence.

Automotive & Mobility average: score 63.5, rating 4.23 stars, reply rate 39.7%, over 2,447 ranked companies · benchmark 30 Oct 2026

Score

58.3

Industry average 63.5

5.2 below average

Rating

4.40

Industry average 4.23

0.17 above average

Reply rate

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Industry average 39.7%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#1581of 2447 ranked in Automotive & Mobility
Top 65% · Mid Packdown 471 from last month
#1 (best)#2447 (worst)
#1579Peer
#1580Peer
#1581This company
#1582Peer
#1583Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

87% of reviews positive, 10% negative

87%
positive
  • Positive87%
  • Neutral4%
  • Negative10%

Sentiment Balance

Covering September 2026 — 6 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 83% of reviews in this period, with 17% 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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Loyalty
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Product Quality
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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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