Customereye

Erth Wellness

Pharmacy & Online Medicine • United Stateserthwellness.com

Review data last updated .

Based on public reviews and response behavior.

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110 reviews over 395 days (about 8.5 per month). Busiest month: 45% of reviews. Languages: en 97%, unknown 3%.

Overall Score

54/100
−15.7 vs. last month4.65 ★ average rating · 110 reviews
54/100 from 110 reviews over 6 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

54.1

Industry average 60.6

6.5 below average

Rating

4.65

Industry average 4.28

0.37 above average

Reply rate

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Industry average 37.5%

not measured

Competitive Performance Rank

Among ranked Pharmacy & Online Medicine companies

#381of 560 ranked in Pharmacy & Online Medicine
Top 68% · Mid Packdown 81 from last month
#1 (best)#560 (worst)
#379Peer
#380Peer
#381This company
#382Peer
#383Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

83% of reviews positive, 16% negative

83%
positive
  • Positive83%
  • Neutral1%
  • Negative16%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 60% of reviews in this period, with 20% negative and 20% 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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