Customereye

Peoples Ford

Automotive & Mobility • United Kingdompeoplescars.co.uk

Review data last updated .

Based on public reviews and response behavior.

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1,316 days of reviews, with a sparse monthly review flow. Busiest month: 8% of reviews. Languages: en 100%.

Overall Score

39/100
+16.7 vs. last month3.21 ★ average rating
39/100 from public reviews over 16 months, moderate confidence.

Automotive & Mobility average: score 62.3, rating 4.13 stars, reply rate 38.6%, over 2,619 ranked companies · benchmark 4 Nov 2026

Score

39.2

Industry average 62.3

23.1 below average

Rating

3.21

Industry average 4.13

0.92 below average

Reply rate

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Industry average 38.6%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#2327of 2619 ranked in Automotive & Mobility
Top 89% · Bottom Tierup 842 from last month
#1 (best)#2619 (worst)
#2325Peer
#2326Peer
#2327This company
#2328Peer
#2329Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

57% of reviews positive, 42% negative

57%
positive
  • Positive57%
  • Neutral1%
  • Negative42%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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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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Pricing
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Onboarding
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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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