Customereye

Agnew Group

Automotive & Mobility • United Kingdomagnewcars.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 324 days (about 19 per month). Busiest month: 63% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

69/100
−33.3 vs. last month4.27 ★ average rating · 200 reviews
69/100 from 200 reviews over 11 months, limited confidence. one month holds 63% of the reviews.

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

Score

69.0

Industry average 63.5

5.5 above average

Rating

4.27

Industry average 4.23

0.04 above average

Reply rate

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Industry average 39.7%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#1032of 2447 ranked in Automotive & Mobility
Top 42% · Upper Halfdown 188 from last month
#1 (best)#2447 (worst)
#1030Peer
#1031Peer
#1032This company
#1033Peer
#1034Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

76% of reviews positive, 22% negative

76%
positive
  • Positive76%
  • Neutral3%
  • Negative22%

Sentiment Balance

Covering August 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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Loyalty
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Product Quality
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Communication
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Problem Resolution
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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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