Customereye

TrucknTow

Automotive & Mobility • United Statestruckntow.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 153 days (about 20 per month). Busiest month: 27% of reviews. Languages: en 88%, unknown 12%.

Overall Score

80/100
Short observation window (153 days)
−3.3 vs. last month4.85 ★ average rating · 100 reviews
80/100 from 100 reviews over 6 months, moderate confidence. trend not shown: window under six months.

Automotive & Mobility average: score 61.2, rating 4.22 stars, reply rate 40.6%, over 1,412 ranked companies · benchmark 4 Oct 2026

Score

79.6

Industry average 61.2

18.4 above average

Rating

4.85

Industry average 4.22

0.63 above average

Reply rate

—

Industry average 40.6%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#156of 1412 ranked in Automotive & Mobility
Top 11% · Top Tier
#1 (best)#1412 (worst)
#154Peer
#155Peer
#156This company
#157Peer
#158Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

76% of reviews positive, 23% negative

76%
positive
  • Positive76%
  • Neutral1%
  • Negative23%

Sentiment Balance

Covering August 2026 — 15 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 20% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Delivery Shipping
Hidden
Response Speed
Hidden
Product Quality
Hidden
Hidden

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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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