Customereye

Joinpiper

Pharmacy & Online Medicine • United Statesjoinpiper.com

Review data last updated .

Based on public reviews and response behavior.

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188 reviews over 275 days (about 21 per month). Busiest month: 35% of reviews. Languages: en 100%.

Overall Score

48/100
+3.6 vs. last month2.70 ★ average rating · 188 reviews
48/100 from 188 reviews over 9 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

47.9

Industry average 60.6

12.7 below average

Rating

2.70

Industry average 4.28

1.58 below average

Reply rate

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Industry average 37.5%

not measured

Competitive Performance Rank

Among ranked Pharmacy & Online Medicine companies

#483of 560 ranked in Pharmacy & Online Medicine
Top 86% · Bottom Tierdown 25 from last month
#1 (best)#560 (worst)
#481Peer
#482Peer
#483This company
#484Peer
#485Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

42% of reviews positive, 57% negative

42%
positive
  • Positive42%
  • Neutral2%
  • Negative57%

Sentiment Balance

Covering July 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 40% of reviews in this period, with 60% 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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Delivery Shipping
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Pricing
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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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