Customereye

isinwheel.es

Automotive & Mobility • United Statesisinwheel.es

Review data last updated .

Based on public reviews and response behavior.

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133 reviews over 1,221 days (about 3.3 per month). Busiest month: 7% of reviews. Languages: en 96%, unknown 2%, es 1%.

Overall Score

47/100
2.52 ★ average rating · 133 reviews
47/100 from 133 reviews over 20 months, moderate confidence.

Automotive & Mobility average: score 63.5, rating 4.23 stars, reply rate 39.7%, over 2,447 ranked companies · benchmark 30 Oct 2026

Score

47.1

Industry average 63.5

16.4 below average

Rating

2.52

Industry average 4.23

1.71 below average

Reply rate

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Industry average 39.7%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#2096of 2447 ranked in Automotive & Mobility
Top 86% · Bottom Tier
#1 (best)#2447 (worst)
#2094Peer
#2095Peer
#2096This company
#2097Peer
#2098Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

35% of reviews positive, 62% negative

35%
positive
  • Positive35%
  • Neutral3%
  • Negative62%

Sentiment Balance

Covering April 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 20% of reviews in this period, with 80% 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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Problem Resolution
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Response Speed
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Loyalty
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Customer Support
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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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