Customereye

Tiffanya Store

Apparel & Fashiontiffanyastore.com

Review data last updated .

Based on public reviews and response behavior.

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111 reviews over 408 days (about 8.3 per month). Busiest month: 16% of reviews. Languages: en 100%.

Overall Score

64/100
−19.7 vs. last month4.67 ★ average rating · 111 reviews
64/100 from 111 reviews over 9 months, moderate confidence.

Apparel & Fashion average: score 65.3, rating 4.33 stars, reply rate 37.0%, over 2,943 ranked companies · benchmark 23 Oct 2026

Score

63.7

Industry average 65.3

1.6 below average

Rating

4.67

Industry average 4.33

0.34 above average

Reply rate

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Industry average 37.0%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#1557of 2943 ranked in Apparel & Fashion
Top 53% · Mid Packdown 450 from last month
#1 (best)#2943 (worst)
#1555Peer
#1556Peer
#1557This company
#1558Peer
#1559Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

85% of reviews positive, 15% negative

85%
positive
  • Positive85%
  • Neutral0%
  • Negative15%

Sentiment Balance

Covering July 2026 — 13 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)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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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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