Customereye

Uber

Automotive & Mobility • United Stateswww.uber.com

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

900 reviews over 19 days (about 1442 per month). Busiest month: 98% of reviews — one month dominates this sample. Languages: en 64%, unknown 31%, es 2%.

Overall Score

35/100
Short observation window (19 days)
3.04 ★ average rating · 900 reviews
35/100 from 900 reviews over 1 months, high confidence. trend not shown: window under six months. one month holds 98% of the reviews.

Automotive & Mobility average: score 62.9, rating 4.28 stars, reply rate 41.7%, over 1,794 ranked companies · benchmark 8 Oct 2026

Score

34.7

Industry average 62.9

28.2 below average

Rating

3.04

Industry average 4.28

1.24 below average

Reply rate

—

Industry average 41.7%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#1685of 1794 ranked in Automotive & Mobility
Top 94% · Bottom Tier
#1 (best)#1794 (worst)
#1683Peer
#1684Peer
#1685This company
#1686Peer
#1687Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

47% of reviews positive, 51% negative

47%
positive
  • Positive47%
  • Neutral1%
  • Negative51%

Sentiment Balance

Covering August 2026 — 886 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 47% of reviews in this period, with 51% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 1 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
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Delivery Shipping
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Pricing
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Product Quality
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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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