Customereye

Ramp

Finance & Insuranceramp.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 644 days (about 4.7 per month). Busiest month: 31% of reviews. Languages: en 100%.

Overall Score

37/100
−15.0 vs. last month2.66 ★ average rating · 100 reviews
37/100 from 100 reviews over 11 months, moderate confidence.

Finance & Insurance average: score 63.9, rating 4.22 stars, reply rate 45.0%, over 3,264 ranked companies · benchmark 24 Oct 2026

Score

36.6

Industry average 63.9

27.3 below average

Rating

2.66

Industry average 4.22

1.56 below average

Reply rate

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Industry average 45.0%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#3007of 3264 ranked in Finance & Insurance
Top 92% · Bottom Tierup 200 from last month
#1 (best)#3264 (worst)
#3005Peer
#3006Peer
#3007This company
#3008Peer
#3009Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

52% of reviews positive, 48% negative

52%
positive
  • Positive52%
  • Neutral0%
  • Negative48%

Sentiment Balance

Covering September 2026 — 10 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 10% of reviews in this period, with 90% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Loyalty
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Onboarding
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Product Quality
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Response Speed
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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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