Customereye

Fresh Car

Auto Parts & Accessorieswww.freshcar.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 81 days (about 75 per month). Busiest month: 47% of reviews. Languages: en 100%.

Overall Score

77/100
Short observation window (81 days)
−5.1 vs. last month4.73 ★ average rating · 200 reviews
77/100 from 200 reviews over 3 months, moderate confidence. trend not shown: window under six months.

Auto Parts & Accessories average: score 60.0, rating 4.34 stars, reply rate 36.6%, over 559 ranked companies · benchmark 2 Oct 2026

Score

76.7

Industry average 60.0

16.7 above average

Rating

4.73

Industry average 4.34

0.39 above average

Reply rate

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Industry average 36.6%

not measured

Competitive Performance Rank

Among ranked Auto Parts & Accessories companies

#57of 559 ranked in Auto Parts & Accessories
Top 10% · Top Tier
#1 (best)#559 (worst)
#55Peer
#56Peer
#57This company
#58Peer
#59Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

88% of reviews positive, 11% negative

88%
positive
  • Positive88%
  • Neutral2%
  • Negative11%

Sentiment Balance

Covering September 2026 — 33 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 85% of reviews in this period, with 15% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 3 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Product Quality
Hidden
Loyalty
Hidden
Customer Support
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Problem Resolution
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Communication
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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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