Customereye

Grubhub

Food & Dining • United Stateswww.grubhub.com

Review data last updated .

Based on public reviews and response behavior.

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2,271 reviews over 5,491 days (about 13 per month). Busiest month: 35% of reviews. Languages: en 90%, unknown 10%, es 0%.

Overall Score

32/100
−1.6 vs. last month2.20 ★ average rating · 2,271 reviews
32/100 from 2,271 reviews over 25 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

32.3

Industry average 52.0

19.7 below average

Rating

2.20

Industry average 3.33

1.13 below average

Reply rate

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Industry average 18.6%

not measured

Competitive Performance Rank

Among ranked Food & Dining companies

#352of 391 ranked in Food & Dining
Top 90% · Bottom Tierup 118 from last month
#1 (best)#391 (worst)
#350Peer
#351Peer
#352This company
#353Peer
#354Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

31% of reviews positive, 67% negative

31%
positive
  • Positive31%
  • Neutral2%
  • Negative67%

Sentiment Balance

Covering September 2026 — 374 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 34% of reviews in this period, with 64% negative and 2% 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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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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