Customereye

Mosh

Pharmacy & Online Medicinegetmosh.com.au

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 122 days (about 50 per month). Busiest month: 30% of reviews. Languages: en 100%.

Overall Score

75/100
Short observation window (122 days)
4.75 ★ average rating · 200 reviews
75/100 from 200 reviews over 5 months, moderate confidence. trend not shown: window under six months.

Pharmacy & Online Medicine average: score 60.5, rating 4.27 stars, reply rate 37.3%, over 672 ranked companies · benchmark 23 Oct 2026

Score

75.1

Industry average 60.5

14.6 above average

Rating

4.75

Industry average 4.27

0.48 above average

Reply rate

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Industry average 37.3%

not measured

Competitive Performance Rank

Among ranked Pharmacy & Online Medicine companies

#81of 672 ranked in Pharmacy & Online Medicine
Top 12% · Top Tierup 17 from last month
#1 (best)#672 (worst)
#79Peer
#80Peer
#81This company
#82Peer
#83Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

85% of reviews positive, 14% negative

85%
positive
  • Positive85%
  • Neutral1%
  • Negative14%

Sentiment Balance

Covering September 2026 — 49 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 84% of reviews in this period, with 16% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 5 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
Hidden
Response Speed
Hidden
Delivery Shipping
Hidden
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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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