Customereye

hungrypanda.co

Food & Diningwww.hungrypanda.co

Review data last updated .

Based on public reviews and response behavior.

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2,518 reviews over 3,021 days (about 25 per month). Busiest month: 4% of reviews. Languages: en 54%, unknown 27%, zh 17%.

Overall Score

37/100
+5.5 vs. last month1.84 ★ average rating · 2,518 reviews
37/100 from 2,518 reviews over 96 months, high confidence.

Food & Dining average: score 52.0, rating 3.33 stars, reply rate 18.6%, over 391 ranked companies · benchmark 30 Oct 2026

Score

36.7

Industry average 52.0

15.3 below average

Rating

1.84

Industry average 3.33

1.49 below average

Reply rate

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Industry average 18.6%

not measured

Competitive Performance Rank

Among ranked Food & Dining companies

#324of 391 ranked in Food & Dining
Top 83% · Bottom Tierup 23 from last month
#1 (best)#391 (worst)
#322Peer
#323Peer
#324This company
#325Peer
#326Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

19% of reviews positive, 80% negative

19%
positive
  • Positive19%
  • Neutral1%
  • Negative80%

Sentiment Balance

Covering August 2026 — 37 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 22% of reviews in this period, with 76% negative and 3% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Customer Support
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Response Speed
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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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