Customereye

Day Lewis Pharmacy

Pharmacy & Online Medicinewww.daylewis.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 397 days (about 7.7 per month). Busiest month: 10% of reviews. Languages: en 100%.

Overall Score

45/100
−30.6 vs. last month2.34 ★ average rating · 100 reviews
45/100 from 100 reviews over 14 months, moderate confidence.

Pharmacy & Online Medicine average: score 60.5, rating 4.27 stars, reply rate 37.3%, over 672 ranked companies · benchmark 24 Oct 2026

Score

44.5

Industry average 60.5

16.0 below average

Rating

2.34

Industry average 4.27

1.93 below average

Reply rate

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Industry average 37.3%

not measured

Competitive Performance Rank

Among ranked Pharmacy & Online Medicine companies

#604of 672 ranked in Pharmacy & Online Medicine
Top 90% · Bottom Tierup 56 from last month
#1 (best)#672 (worst)
#602Peer
#603Peer
#604This company
#605Peer
#606Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

40% of reviews positive, 60% negative

40%
positive
  • Positive40%
  • Neutral0%
  • Negative60%

Sentiment Balance

Covering September 2026 — 8 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 25% of reviews in this period, with 75% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Loyalty
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Response Speed
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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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