Customereye

Zeelool

Healthcare & Medical • United Stateszeelool.com

Review data last updated .

Based on public reviews and response behavior.

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916 reviews over 2,399 days (about 12 per month). Busiest month: 13% of reviews. Languages: en 98%, fr 1%, ca 0%.

Overall Score

65/100
−6.3 vs. last month4.00 ★ average rating · 916 reviews
65/100 from 916 reviews over 37 months, high confidence.

Healthcare & Medical average: score 66.5, rating 4.38 stars, reply rate 44.7%, over 2,989 ranked companies · benchmark 24 Oct 2026

Score

65.2

Industry average 66.5

1.3 below average

Rating

4.00

Industry average 4.38

0.38 below average

Reply rate

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Industry average 44.7%

not measured

Competitive Performance Rank

Among ranked Healthcare & Medical companies

#1649of 2989 ranked in Healthcare & Medical
Top 55% · Mid Packdown 31 from last month
#1 (best)#2989 (worst)
#1647Peer
#1648Peer
#1649This company
#1650Peer
#1651Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

65% of reviews positive, 32% negative

65%
positive
  • Positive65%
  • Neutral3%
  • Negative32%

Sentiment Balance

Covering August 2026 — 25 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 64% of reviews in this period, with 36% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Pricing
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Customer Support
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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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