Customereye

PanelOpinion

Paid Surveys & Rewardswww.panelopinion.co.uk

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.

100 reviews over 521 days (about 5.8 per month). Busiest month: 13% of reviews. Languages: en 98%, fr 2%.

Overall Score

62/100
3.89 ★ average rating · 100 reviews
62/100 from 100 reviews over 14 months, moderate confidence.

Paid Surveys & Rewards average: score 61.2, rating 4.15 stars, reply rate 29.7%, over 142 ranked companies · benchmark 30 Oct 2026

Score

61.5

Industry average 61.2

0.3 above average

Rating

3.89

Industry average 4.15

0.26 below average

Reply rate

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Industry average 29.7%

not measured

Competitive Performance Rank

Among ranked Paid Surveys & Rewards companies

#65of 142 ranked in Paid Surveys & Rewards
Top 46% · Upper Half
#1 (best)#142 (worst)
#63Peer
#64Peer
#65This company
#66Peer
#67Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

71% of reviews positive, 28% negative

71%
positive
  • Positive71%
  • Neutral1%
  • Negative28%

Sentiment Balance

Covering October 2026 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Onboarding
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Product Quality
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Response Speed
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Loyalty
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Communication
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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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