Customereye

Mapo Tapo

Sports & Fitness • United Statesmapotapo.com

Review data last updated .

Based on public reviews and response behavior.

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255 days of reviews, with a steady monthly review flow. Busiest month: 19% of reviews. Languages: en 93%, fr 3%, it 2%.

Overall Score

69/100
+7.7 vs. last month4.45 ★ average rating
69/100 from public reviews over 8 months, moderate confidence.

Sports & Fitness average: score 64.1, rating 4.35 stars, reply rate 32.8%, over 1,084 ranked companies · benchmark 4 Nov 2026

Score

69.0

Industry average 64.1

4.9 above average

Rating

4.45

Industry average 4.35

0.10 above average

Reply rate

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Industry average 32.8%

not measured

Competitive Performance Rank

Among ranked Sports & Fitness companies

#443of 1084 ranked in Sports & Fitness
Top 41% · Upper Halfup 149 from last month
#1 (best)#1084 (worst)
#441Peer
#442Peer
#443This company
#444Peer
#445Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

79% of reviews positive, 21% negative

79%
positive
  • Positive79%
  • Neutral0%
  • Negative21%

Sentiment Balance

Covering August 2026, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Product Quality
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Loyalty
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Customer Support
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Delivery Shipping
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Communication
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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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