Customereye

Faire

Professional Services • United Kingdomfaire.com

Review data last updated .

Based on public reviews and response behavior.

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1,254 reviews over 1,788 days (about 21 per month). Busiest month: 24% of reviews. Languages: en 77%, unknown 6%, fr 5%.

Overall Score

46/100
−24.4 vs. last month4.51 ★ average rating · 1,254 reviews
46/100 from 1,254 reviews over 31 months, high confidence.

Professional Services average: score 66.2, rating 4.38 stars, reply rate 42.8%, over 1,436 ranked companies · benchmark 23 Oct 2026

Score

46.0

Industry average 66.2

20.2 below average

Rating

4.51

Industry average 4.38

0.13 above average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Professional Services companies

#1309of 1436 ranked in Professional Services
Top 91% · Bottom Tierdown 71 from last month
#1 (best)#1436 (worst)
#1307Peer
#1308Peer
#1309This company
#1310Peer
#1311Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

67% of reviews positive, 32% negative

67%
positive
  • Positive67%
  • Neutral1%
  • Negative32%

Sentiment Balance

Covering August 2026 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 50% of reviews in this period, with 50% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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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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