Customereye

swytchbike.com

Automotive & Mobilitywww.swytchbike.com

Review data last updated .

Based on public reviews and response behavior.

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199 reviews over 169 days (about 36 per month). Busiest month: 24% of reviews. Languages: en 95%, it 2%, de 1%.

Overall Score

64/100
Short observation window (169 days)
−35.6 vs. last month3.21 ★ average rating · 199 reviews
64/100 from 199 reviews over 6 months, moderate confidence. trend not shown: window under six months.

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

Score

63.5

Industry average 62.9

0.6 above average

Rating

3.21

Industry average 4.28

1.07 below average

Reply rate

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Industry average 41.7%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#905of 1794 ranked in Automotive & Mobility
Top 50% · Mid Packdown 70 from last month
#1 (best)#1794 (worst)
#903Peer
#904Peer
#905This company
#906Peer
#907Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

62% of reviews positive, 37% negative

62%
positive
  • Positive62%
  • Neutral1%
  • Negative37%

Sentiment Balance

Covering September 2026 — 12 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 58% negative and 8% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Based on 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
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Delivery Shipping
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Response Speed
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Product Quality
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Onboarding
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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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