Customereye

Nutrition Warehouse

Supplements & Nutritionnutritionwarehouse.com.au

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.

100 reviews over 47 days (about 65 per month). Busiest month: 58% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

79/100
Short observation window (47 days)
4.89 ★ average rating · 100 reviews
79/100 from 100 reviews over 3 months, moderate confidence. trend not shown: window under six months. one month holds 58% of the reviews.

Supplements & Nutrition average: score 63.0, rating 4.44 stars, reply rate 44.9%, over 718 ranked companies · benchmark 6 Oct 2026

Score

78.9

Industry average 63.0

15.9 above average

Rating

4.89

Industry average 4.44

0.45 above average

Reply rate

—

Industry average 44.9%

not measured

Competitive Performance Rank

Among ranked Supplements & Nutrition companies

#77of 718 ranked in Supplements & Nutrition
Top 11% · Top Tier
#1 (best)#718 (worst)
#75Peer
#76Peer
#77This company
#78Peer
#79Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

95% of reviews positive, 4% negative

95%
positive
  • Positive95%
  • Neutral1%
  • Negative4%

Sentiment Balance

Covering October 2026 — 10 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 90% of reviews in this period, with 0% negative and 10% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 3 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

Customer Support
Hidden
Product Quality
Hidden
Loyalty
Hidden
Hidden

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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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