Customereye

CaliBlendz

Food & Beverage • United Statescaliforniablendz.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 1,810 days (about 3.4 per month). Busiest month: 20% of reviews. Languages: en 91%, unknown 9%, fr 1%.

Overall Score

66/100
−50.0 vs. last month4.74 ★ average rating · 200 reviews
66/100 from 200 reviews over 26 months, moderate confidence.

Food & Beverage average: score 63.2, rating 4.25 stars, reply rate 33.9%, over 2,214 ranked companies · benchmark 30 Oct 2026

Score

65.6

Industry average 63.2

2.4 above average

Rating

4.74

Industry average 4.25

0.49 above average

Reply rate

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Industry average 33.9%

not measured

Competitive Performance Rank

Among ranked Food & Beverage companies

#1054of 2214 ranked in Food & Beverage
Top 48% · Upper Halfdown 395 from last month
#1 (best)#2214 (worst)
#1052Peer
#1053Peer
#1054This company
#1055Peer
#1056Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

87% of reviews positive, 12% negative

87%
positive
  • Positive87%
  • Neutral0%
  • Negative12%

Sentiment Balance

Covering May 2025 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 50% of reviews in this period, with 50% 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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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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