Customereye

Mountainvalleygarlic

Home & Living • United Statesmountainvalleygarlic.com

Review data last updated .

Based on public reviews and response behavior.

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107 reviews over 340 days (about 9.6 per month). Busiest month: 18% of reviews. Languages: en 100%.

Overall Score

60/100
−14.3 vs. last month4.99 ★ average rating · 107 reviews
60/100 from 107 reviews over 9 months, moderate confidence.

Home & Living average: score 67.9, rating 4.44 stars, reply rate 45.4%, over 5,448 ranked companies · benchmark 30 Oct 2026

Score

60.4

Industry average 67.9

7.5 below average

Rating

4.99

Industry average 4.44

0.55 above average

Reply rate

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Industry average 45.4%

not measured

Competitive Performance Rank

Among ranked Home & Living companies

#3737of 5448 ranked in Home & Living
Top 69% · Mid Packdown 1258 from last month
#1 (best)#5448 (worst)
#3735Peer
#3736Peer
#3737This company
#3738Peer
#3739Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

95% of reviews positive, 3% negative

95%
positive
  • Positive95%
  • Neutral2%
  • Negative3%

Sentiment Balance

Covering July 2026 — 7 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 86% of reviews in this period, with 14% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Loyalty
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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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