Customereye

Azure Standard

Food & Beverage • USazurestandard.com

Review data last updated .

Based on public reviews and response behavior.

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600 reviews over 13 days (about 1405 per month). Busiest month: 100% of reviews — one month dominates this sample.

Overall Score

50/100
−42.5 vs. last month4.47 ★ average rating · 600 reviews
50/100 from 600 reviews over 1 months, high confidence. one month holds 100% of the reviews.

Food & Beverage average: score 61.8, rating 4.22 stars, reply rate 32.8%, over 2,959 ranked companies · benchmark 14 Oct 2026

Score

49.5

Industry average 61.8

12.3 below average

Rating

4.47

Industry average 4.22

0.25 above average

Reply rate

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Industry average 32.8%

not measured

Competitive Performance Rank

Among ranked Food & Beverage companies

#2436of 2959 ranked in Food & Beverage
Top 82% · Bottom Tierdown 193 from last month
#1 (best)#2959 (worst)
#2434Peer
#2435Peer
#2436This company
#2437Peer
#2438Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

72% of reviews positive, 26% negative

72%
positive
  • Positive72%
  • Neutral2%
  • Negative26%

Sentiment Balance

Covering October 2024 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Customer Support
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Response Speed
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Communication
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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