Customereye

HelloFresh Australia

Food & Dining • Australiahellofresh.com.au

Review data last updated .

Based on public reviews and response behavior.

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2,485 reviews over 2,976 days (about 25 per month). Busiest month: 5% of reviews. Languages: en 94%, unknown 4%, fr 2%.

Overall Score

42/100
+32.8 vs. last month3.17 ★ average rating · 2,485 reviews
42/100 from 2,485 reviews over 64 months, high confidence.

Food & Dining average: score 52.0, rating 3.33 stars, reply rate 18.6%, over 391 ranked companies · benchmark 31 Oct 2026

Score

42.2

Industry average 52.0

9.8 below average

Rating

3.17

Industry average 3.33

0.16 below average

Reply rate

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Industry average 18.6%

not measured

Competitive Performance Rank

Among ranked Food & Dining companies

#279of 391 ranked in Food & Dining
Top 71% · Mid Packup 111 from last month
#1 (best)#391 (worst)
#277Peer
#278Peer
#279This company
#280Peer
#281Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

58% of reviews positive, 40% negative

58%
positive
  • Positive58%
  • Neutral1%
  • Negative40%

Sentiment Balance

Covering August 2026 — 81 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 74% of reviews in this period, with 25% negative and 1% 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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Customer Support
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Loyalty
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Onboarding
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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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