Customereye

sweetgreen

Food & Diningsweetgreen.com

Review data last updated .

Based on public reviews and response behavior.

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1,074 reviews over 4,616 days (about 7.1 per month). Busiest month: 3% of reviews. Languages: en 100%, sv 0%.

Overall Score

50/100
+3.4 vs. last month2.72 ★ average rating · 1,074 reviews
50/100 from 1,074 reviews over 48 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

50.4

Industry average 52.0

1.6 below average

Rating

2.72

Industry average 3.33

0.61 below average

Reply rate

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Industry average 18.6%

not measured

Competitive Performance Rank

Among ranked Food & Dining companies

#213of 391 ranked in Food & Dining
Top 54% · Mid Packup 20 from last month
#1 (best)#391 (worst)
#211Peer
#212Peer
#213This company
#214Peer
#215Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

45% of reviews positive, 54% negative

45%
positive
  • Positive45%
  • Neutral1%
  • Negative54%

Sentiment Balance

Covering August 2026 — 20 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 55% of reviews in this period, with 45% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Loyalty
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Onboarding
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Value For Money
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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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