Customereye

Feastandthefurious

Food & Beverage • United Kingdomfeastandthefurious.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,268 days (about 1.3 per month). Busiest month: 8% of reviews. Languages: en 94%, unknown 5%, fr 1%.

Overall Score

73/100
4.84 ★ average rating · 100 reviews
73/100 from 100 reviews over 13 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

73.3

Industry average 63.2

10.1 above average

Rating

4.84

Industry average 4.25

0.59 above average

Reply rate

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Industry average 33.9%

not measured

Competitive Performance Rank

Among ranked Food & Beverage companies

#621of 2214 ranked in Food & Beverage
Top 28% · Upper Half
#1 (best)#2214 (worst)
#619Peer
#620Peer
#621This company
#622Peer
#623Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

94% of reviews positive, 6% negative

94%
positive
  • Positive94%
  • Neutral0%
  • Negative6%

Sentiment Balance

Covering September 2023 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Customer Support
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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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