Customereye

Sisters & Seekers

Apparel & Fashionwww.sistersandseekers.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 103 days (about 59 per month). Busiest month: 40% of reviews. Languages: en 100%, nl 1%.

Overall Score

83/100
Short observation window (103 days)
−7.1 vs. last month3.94 ★ average rating · 200 reviews
83/100 from 200 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Apparel & Fashion average: score 62.4, rating 4.23 stars, reply rate 40.5%, over 1,396 ranked companies · benchmark 2 Oct 2026

Score

82.7

Industry average 62.4

20.3 above average

Rating

3.94

Industry average 4.23

0.29 below average

Reply rate

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Industry average 40.5%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#114of 1396 ranked in Apparel & Fashion
Top 8% · Top Tier
#1 (best)#1396 (worst)
#112Peer
#113Peer
#114This company
#115Peer
#116Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

73% of reviews positive, 28% negative

73%
positive
  • Positive73%
  • Neutral0%
  • Negative28%

Sentiment Balance

Covering September 2026 — 48 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 69% of reviews in this period, with 31% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 4 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Customer Support
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Communication
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Pricing
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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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