Customereye

Oscar Willow & Co

General Retail & Marketplacesoscarwillowco.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 793 days (about 3.8 per month). Busiest month: 17% of reviews. Languages: en 99%, de 1%.

Overall Score

71/100
4.35 ★ average rating · 100 reviews
71/100 from 100 reviews over 8 months, moderate confidence.

General Retail & Marketplaces average: score 63.5, rating 4.21 stars, reply rate 35.0%, over 3,192 ranked companies · benchmark 22 Oct 2026

Score

71.1

Industry average 63.5

7.6 above average

Rating

4.35

Industry average 4.21

0.14 above average

Reply rate

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Industry average 35.0%

not measured

Competitive Performance Rank

Among ranked General Retail & Marketplaces companies

#1093of 3192 ranked in General Retail & Marketplaces
Top 34% · Upper Half
#1 (best)#3192 (worst)
#1091Peer
#1092Peer
#1093This company
#1094Peer
#1095Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

79% of reviews positive, 20% negative

79%
positive
  • Positive79%
  • Neutral1%
  • Negative20%

Sentiment Balance

Covering March 2025 — 7 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 43% of reviews in this period, with 43% negative and 14% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Response Speed
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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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