Customereye

Curb

Automotive & Mobility • United Statesgocurb.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,363 days (about 2.2 per month). Busiest month: 10% of reviews. Languages: en 98%, it 2%.

Overall Score

46/100
1.38 ★ average rating · 100 reviews
46/100 from 100 reviews over 14 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

45.6

Industry average 63.5

17.9 below average

Rating

1.38

Industry average 4.23

2.85 below average

Reply rate

—

Industry average 39.7%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#2131of 2447 ranked in Automotive & Mobility
Top 87% · Bottom Tierdown 40 from last month
#1 (best)#2447 (worst)
#2129Peer
#2130Peer
#2131This company
#2132Peer
#2133Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

15% of reviews positive, 84% negative

15%
positive
  • Positive15%
  • Neutral1%
  • Negative84%

Sentiment Balance

Covering May 2026 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Pricing
Hidden
Loyalty
Hidden
Customer Support
Hidden
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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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