Customereye

Post Office Travel Money Card

Finance & Insurancepostoffice.co.uk%2Ftravel-money%2Fcard

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 70 days (about 87 per month). Busiest month: 36% of reviews. Languages: en 100%.

Overall Score

64/100
Short observation window (70 days)
+1.3 vs. last month3.81 ★ average rating · 200 reviews
64/100 from 200 reviews over 3 months, moderate confidence. trend not shown: window under six months.

Finance & Insurance average: score 62.9, rating 4.27 stars, reply rate 49.3%, over 2,001 ranked companies · benchmark 6 Oct 2026

Score

64.4

Industry average 62.9

1.5 above average

Rating

3.81

Industry average 4.27

0.46 below average

Reply rate

—

Industry average 49.3%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#1002of 2001 ranked in Finance & Insurance
Top 50% · Mid Pack
#1 (best)#2001 (worst)
#1000Peer
#1001Peer
#1002This company
#1003Peer
#1004Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

67% of reviews positive, 32% negative

67%
positive
  • Positive67%
  • Neutral2%
  • Negative32%

Sentiment Balance

Covering September 2026 — 63 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 62% of reviews in this period, with 38% 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

Onboarding
Hidden
Pricing
Hidden
Loyalty
Hidden
Customer Support
Hidden
Problem Resolution
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HiddenHidden

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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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