Customereye

Pepper Money UK

Lending & Consumer Financepepper.money

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

200 reviews over 75 days (about 81 per month). Busiest month: 50% of reviews. Languages: en 100%, es 1%.

Overall Score

72/100
Short observation window (75 days)
−6.5 vs. last month4.69 ★ average rating · 200 reviews
72/100 from 200 reviews over 3 months, moderate confidence. trend not shown: window under six months. one month holds 50% of the reviews.

Lending & Consumer Finance average: score 65.5, rating 4.43 stars, reply rate 49.6%, over 1,142 ranked companies · benchmark 6 Oct 2026

Score

71.5

Industry average 65.5

6.0 above average

Rating

4.69

Industry average 4.43

0.26 above average

Reply rate

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Industry average 49.6%

not measured

Competitive Performance Rank

Among ranked Lending & Consumer Finance companies

#389of 1142 ranked in Lending & Consumer Finance
Top 34% · Upper Half
#1 (best)#1142 (worst)
#387Peer
#388Peer
#389This company
#390Peer
#391Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

80% of reviews positive, 20% negative

80%
positive
  • Positive80%
  • Neutral1%
  • Negative20%

Sentiment Balance

Covering September 2026 — 66 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 77% of reviews in this period, with 23% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 3 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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Product Quality
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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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