Customereye

Future Kind

Pharmacy & Online Medicine • United Statesfuturekind.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 520 days (about 12 per month). Busiest month: 18% of reviews. Languages: en 94%, unknown 3%, nl 1%.

Overall Score

51/100
4.24 ★ average rating · 200 reviews
51/100 from 200 reviews over 10 months, moderate confidence.

Pharmacy & Online Medicine average: score 60.6, rating 4.28 stars, reply rate 37.5%, over 560 ranked companies · benchmark 30 Oct 2026

Score

51.4

Industry average 60.6

9.2 below average

Rating

4.24

Industry average 4.28

0.04 below average

Reply rate

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Industry average 37.5%

not measured

Competitive Performance Rank

Among ranked Pharmacy & Online Medicine companies

#431of 560 ranked in Pharmacy & Online Medicine
Top 77% · Bottom Tier
#1 (best)#560 (worst)
#429Peer
#430Peer
#431This company
#432Peer
#433Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

74% of reviews positive, 24% negative

74%
positive
  • Positive74%
  • Neutral2%
  • Negative24%

Sentiment Balance

Covering April 2026 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% 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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Customer Support
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Communication
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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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