Customereye

Beforepay

Lending & Consumer Financebeforepay.com.au

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 169 days (about 36 per month). Busiest month: 40% of reviews. Languages: en 100%, th 1%.

Overall Score

57/100
Short observation window (169 days)
−42.7 vs. last month4.37 ★ average rating · 200 reviews
57/100 from 200 reviews over 6 months, moderate confidence. trend not shown: window under six months.

Lending & Consumer Finance average: score 65.4, rating 4.43 stars, reply rate 49.6%, over 1,138 ranked companies · benchmark 5 Oct 2026

Score

57.4

Industry average 65.4

8.0 below average

Rating

4.37

Industry average 4.43

0.06 below average

Reply rate

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Industry average 49.6%

not measured

Competitive Performance Rank

Among ranked Lending & Consumer Finance companies

#777of 1138 ranked in Lending & Consumer Finance
Top 68% · Mid Pack
#1 (best)#1138 (worst)
#775Peer
#776Peer
#777This company
#778Peer
#779Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

77% of reviews positive, 21% negative

77%
positive
  • Positive77%
  • Neutral2%
  • Negative21%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
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Onboarding
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Response Speed
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Communication
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Problem Resolution
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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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