Customereye

Bernard Matthews

Food & Beverage • United Kingdomwww.bernardmatthews.com

Review data last updated .

Based on public reviews and response behavior.

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197 reviews over 262 days (about 23 per month). Busiest month: 27% of reviews. Languages: en 100%.

Overall Score

33/100
+25.0 vs. last month1.03 ★ average rating · 197 reviews
33/100 from 197 reviews over 9 months, moderate confidence.

Food & Beverage average: score 63.2, rating 4.25 stars, reply rate 33.9%, over 2,214 ranked companies · benchmark 30 Oct 2026

Score

33.1

Industry average 63.2

30.1 below average

Rating

1.03

Industry average 4.25

3.22 below average

Reply rate

—

Industry average 33.9%

not measured

Competitive Performance Rank

Among ranked Food & Beverage companies

#2103of 2214 ranked in Food & Beverage
Top 95% · Bottom Tierup 25 from last month
#1 (best)#2214 (worst)
#2101Peer
#2102Peer
#2103This company
#2104Peer
#2105Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

17% of reviews positive, 81% negative

17%
positive
  • Positive17%
  • Neutral2%
  • Negative81%

Sentiment Balance

Covering July 2026 — 10 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 20% of reviews in this period, with 70% negative and 10% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Loyalty
Hidden
Pricing
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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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