Customereye

FFS

Beauty & Wellness • United Kingdomwww.ffs.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 252 days (about 24 per month). Busiest month: 20% of reviews. Languages: en 100%.

Overall Score

89/100
+16.2 vs. last month4.68 ★ average rating · 200 reviews
89/100 from 200 reviews over 9 months, moderate confidence.

Beauty & Wellness average: score 64.6, rating 4.22 stars, reply rate 38.6%, over 2,562 ranked companies · benchmark 22 Oct 2026

Score

88.6

Industry average 64.6

24.0 above average

Rating

4.68

Industry average 4.22

0.46 above average

Reply rate

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Industry average 38.6%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#133of 2562 ranked in Beauty & Wellness
Top 5% · Top Tierup 292 from last month
#1 (best)#2562 (worst)
#131Peer
#132Peer
#133This company
#134Peer
#135Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

84% of reviews positive, 16% negative

84%
positive
  • Positive84%
  • Neutral1%
  • Negative16%

Sentiment Balance

Covering September 2026 — 9 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 89% of reviews in this period, with 11% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
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Response Speed
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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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