Customereye

Di Pacci Coffee Company

Food & Beveragedipacci.com.au

Review data last updated .

Based on public reviews and response behavior.

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70 reviews over 3,092 days (about 0.7 per month). Busiest month: 51% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

48/100
Short observation window (3092 days)
+19.0 vs. last month4.10 ★ average rating · 70 reviews
48/100 from 70 reviews over 2 months, limited confidence. trend not shown: window under six months. one month holds 51% of the reviews.

Food & Beverage average: score 61.8, rating 4.22 stars, reply rate 32.8%, over 2,979 ranked companies · benchmark 15 Oct 2026

Score

47.6

Industry average 61.8

14.2 below average

Rating

4.10

Industry average 4.22

0.12 below average

Reply rate

—

Industry average 32.8%

not measured

Competitive Performance Rank

Among ranked Food & Beverage companies

#2525of 2979 ranked in Food & Beverage
Top 85% · Bottom Tierup 10 from last month
#1 (best)#2979 (worst)
#2523Peer
#2524Peer
#2525This company
#2526Peer
#2527Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

70% of reviews positive, 30% negative

70%
positive
  • Positive70%
  • Neutral0%
  • Negative30%

Sentiment Balance

Covering April 2018 — 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)
Hidden

Based on 2 months of reviews, too short to read a trend

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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Communication
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Problem Resolution
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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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