Customereye

BMS Salvage

Auto Parts & Accessorieswww.bmssalvage.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 20 days (about 304 per month). Busiest month: 100% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

74/100
Short observation window (20 days)
4.80 ★ average rating · 200 reviews
74/100 from 200 reviews over 1 months, moderate confidence. trend not shown: window under six months. one month holds 100% of the reviews.

Auto Parts & Accessories average: score 58.7, rating 4.31 stars, reply rate 37.5%, over 440 ranked companies · benchmark 23 Sept 2026

Score

73.5

Industry average 58.7

14.8 above average

Rating

4.80

Industry average 4.31

0.49 above average

Reply rate

Industry average 37.5%

not measured

Competitive Performance Rank

Among ranked Auto Parts & Accessories companies

#59of 440 ranked in Auto Parts & Accessories
Top 13% · Top Tier
#1 (best)#440 (worst)
#57Peer
#58Peer
#59This company
#60Peer
#61Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

83% of reviews positive, 15% negative

83%
positive
  • Positive83%
  • Neutral3%
  • Negative15%

Sentiment Balance

Covering September 2026 — 200 reviews, not the company's full review history.

positive
  • Positive
  • Neutral
  • Negative

Takeaway: Positive sentiment accounts for 83% of reviews in this period, with 15% negative and 3% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 1 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

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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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