Customereye

Florence Eiseman

General Retail & Marketplaces • United Statesflorenceeiseman.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,620 days (about 1.9 per month). Busiest month: 13% of reviews. Languages: en 98%, fr 1%, unknown 1%.

Overall Score

57/100
4.60 ★ average rating · 100 reviews
57/100 from 100 reviews over 10 months, moderate confidence.

General Retail & Marketplaces average: score 64.6, rating 4.29 stars, reply rate 36.9%, over 2,402 ranked companies · benchmark 30 Oct 2026

Score

56.7

Industry average 64.6

7.9 below average

Rating

4.60

Industry average 4.29

0.31 above average

Reply rate

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Industry average 36.9%

not measured

Competitive Performance Rank

Among ranked General Retail & Marketplaces companies

#1684of 2402 ranked in General Retail & Marketplaces
Top 70% · Mid Pack
#1 (best)#2402 (worst)
#1682Peer
#1683Peer
#1684This company
#1685Peer
#1686Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

89% of reviews positive, 10% negative

89%
positive
  • Positive89%
  • Neutral1%
  • Negative10%

Sentiment Balance

Covering October 2025 — 13 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 85% of reviews in this period, with 15% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Onboarding
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Delivery Shipping
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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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