Customereye

wmpfonline.com

Lending & Consumer Finance • United Kingdomwww.wmpfonline.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,047 days (about 2.9 per month). Busiest month: 15% of reviews. Languages: en 100%.

Overall Score

19/100
+33.3 vs. last month1.13 ★ average rating · 100 reviews
19/100 from 100 reviews over 14 months, moderate confidence.

Lending & Consumer Finance average: score 69.0, rating 4.52 stars, reply rate 47.8%, over 1,917 ranked companies · benchmark 1 Nov 2026

Score

19.2

Industry average 69.0

49.8 below average

Rating

1.13

Industry average 4.52

3.39 below average

Reply rate

—

Industry average 47.8%

not measured

Competitive Performance Rank

Among ranked Lending & Consumer Finance companies

#1908of 1917 ranked in Lending & Consumer Finance
Top 100% · Bottom Tierdown 21 from last month
#1 (best)#1917 (worst)
#1906Peer
#1907Peer
#1908This company
#1909Peer
#1910Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

17% of reviews positive, 80% negative

17%
positive
  • Positive17%
  • Neutral3%
  • Negative80%

Sentiment Balance

Covering June 2025 — 3 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)
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Theme Distribution

Share of theme mentions

Communication
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Response Speed
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Customer Support
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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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