Customereye

Tu clothing by Sainsbury's

Apparel & Fashiontuclothing.sainsburys.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 9 days (about 676 per month). Busiest month: 100% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

69/100
Short observation window (9 days)
4.36 ★ average rating · 200 reviews
69/100 from 200 reviews over 1 months, moderate confidence. trend not shown: window under six months. one month holds 100% of the reviews.

Apparel & Fashion average: score 60.2, rating 4.17 stars, reply rate 41.6%, over 899 ranked companies · benchmark 28 Sept 2026

Score

69.3

Industry average 60.2

9.1 above average

Rating

4.36

Industry average 4.17

0.19 above average

Reply rate

—

Industry average 41.6%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#267of 899 ranked in Apparel & Fashion
Top 30% · Upper Half
#1 (best)#899 (worst)
#265Peer
#266Peer
#267This company
#268Peer
#269Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

76% of reviews positive, 22% negative

76%
positive
  • Positive76%
  • Neutral3%
  • Negative22%

Sentiment Balance

Covering September 2026 — 200 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 76% of reviews in this period, with 22% negative and 3% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 1 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

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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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