Customereye

MC Donalds

Food & Diningmc-donalds.com

Review data last updated .

Based on public reviews and response behavior.

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500 reviews over 419 days (about 36 per month). Busiest month: 8% of reviews. Languages: en 34%, da 21%, de 13%.

Overall Score

19/100
−18.5 vs. last month1.81 ★ average rating · 500 reviews
19/100 from 500 reviews over 15 months, high confidence. sentiment from 73% of reviews.

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

Score

18.9

Industry average 52.0

33.1 below average

Rating

1.81

Industry average 3.33

1.52 below average

Reply rate

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Industry average 18.6%

not measured

Competitive Performance Rank

Among ranked Food & Dining companies

#387of 391 ranked in Food & Dining
Top 99% · Bottom Tierup 1 from last month
#1 (best)#391 (worst)
#385Peer
#386Peer
#387This company
#388Peer
#389Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Based on 73% of reviews
Below Average

23% of reviews positive, 77% negative

23%
positive
  • Positive23%
  • Neutral0%
  • Negative77%

Sentiment Balance

Covering August 2026 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 100% 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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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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