Customereye

DailyPay

Finance & Insurance • United Statesdailypay.com

Review data last updated .

Based on public reviews and response behavior.

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740 reviews over 297 days (about 76 per month). Busiest month: 25% of reviews. Languages: en 98%, unknown 1%, es 0%.

Overall Score

48/100
−17.6 vs. last month2.76 ★ average rating · 740 reviews
48/100 from 740 reviews over 6 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

48.4

Industry average 64.0

15.6 below average

Rating

2.76

Industry average 4.23

1.47 below average

Reply rate

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Industry average 47.0%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#2424of 2796 ranked in Finance & Insurance
Top 87% · Bottom Tierdown 87 from last month
#1 (best)#2796 (worst)
#2422Peer
#2423Peer
#2424This company
#2425Peer
#2426Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

36% of reviews positive, 60% negative

36%
positive
  • Positive36%
  • Neutral4%
  • Negative60%

Sentiment Balance

Covering August 2026 — 186 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 27% of reviews in this period, with 70% negative and 2% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Pricing
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Customer Support
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Loyalty
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Onboarding
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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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