Customereye

Green Dot

Finance & Insurancewww.greendot.com

Review data last updated .

Based on public reviews and response behavior.

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600 reviews over 1,124 days (about 16 per month). Busiest month: 14% of reviews. Languages: en 100%.

Overall Score

21/100
−1.4 vs. last month1.34 ★ average rating · 600 reviews
21/100 from 600 reviews over 38 months, high confidence.

Finance & Insurance average: score 64.0, rating 4.23 stars, reply rate 47.0%, over 2,796 ranked companies · benchmark 30 Oct 2026

Score

20.5

Industry average 64.0

43.5 below average

Rating

1.34

Industry average 4.23

2.89 below average

Reply rate

—

Industry average 47.0%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#2734of 2796 ranked in Finance & Insurance
Top 98% · Bottom Tierup 10 from last month
#1 (best)#2796 (worst)
#2732Peer
#2733Peer
#2734This company
#2735Peer
#2736Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

18% of reviews positive, 80% negative

18%
positive
  • Positive18%
  • Neutral2%
  • Negative80%

Sentiment Balance

Covering August 2026 — 9 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 11% of reviews in this period, with 89% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Pricing
Hidden
Customer Support
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Loyalty
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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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