Customereye

Muscle Food - MuscleFood.com

Food & Beveragemusclefood.com

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

300 reviews over 28 days (about 326 per month). Busiest month: 92% of reviews — one month dominates this sample. Languages: en 98%, unknown 1%, da 0%.

Overall Score

28/100
Short observation window (28 days)
+15.0 vs. last month2.34 ★ average rating · 300 reviews
28/100 from 300 reviews over 2 months, high confidence. trend not shown: window under six months. one month holds 92% of the reviews.

Food & Beverage average: score 61.8, rating 4.22 stars, reply rate 32.8%, over 2,959 ranked companies · benchmark 14 Oct 2026

Score

28.1

Industry average 61.8

33.7 below average

Rating

2.34

Industry average 4.22

1.88 below average

Reply rate

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Industry average 32.8%

not measured

Competitive Performance Rank

Among ranked Food & Beverage companies

#2849of 2959 ranked in Food & Beverage
Top 96% · Bottom Tierup 202 from last month
#1 (best)#2959 (worst)
#2847Peer
#2848Peer
#2849This company
#2850Peer
#2851Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

35% of reviews positive, 63% negative

35%
positive
  • Positive35%
  • Neutral2%
  • Negative63%

Sentiment Balance

Covering September 2026 — 23 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 48% of reviews in this period, with 48% negative and 4% neutral.

Sentiment Trend Over Time

Reviews (Count)
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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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Communication
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Customer Support
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Value For Money
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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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