Customereye

Motormoolah

Automotive & Mobilitymotormoolah.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 101 days (about 60 per month). Busiest month: 31% of reviews. Languages: en 100%.

Overall Score

72/100
Short observation window (101 days)
+12.8 vs. last month4.58 ★ average rating · 200 reviews
72/100 from 200 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Automotive & Mobility average: score 63.8, rating 4.31 stars, reply rate 40.3%, over 2,402 ranked companies · benchmark 14 Oct 2026

Score

72.0

Industry average 63.8

8.2 above average

Rating

4.58

Industry average 4.31

0.27 above average

Reply rate

—

Industry average 40.3%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#817of 2402 ranked in Automotive & Mobility
Top 34% · Upper Halfup 333 from last month
#1 (best)#2402 (worst)
#815Peer
#816Peer
#817This company
#818Peer
#819Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

92% of reviews positive, 9% negative

92%
positive
  • Positive92%
  • Neutral0%
  • Negative9%

Sentiment Balance

Covering September 2026 — 51 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 98% of reviews in this period, with 2% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 4 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Loyalty
Hidden
Customer Support
Hidden
Onboarding
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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