Customereye

Prizeout

Paid Surveys & Rewards • United Statesprizeout.com

Review data last updated .

Based on public reviews and response behavior.

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197 reviews over 640 days (about 9.4 per month). Busiest month: 30% of reviews. Languages: en 95%, unknown 4%, cy 1%.

Overall Score

54/100
−3.3 vs. last month4.30 ★ average rating · 197 reviews
54/100 from 197 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

53.6

Industry average 61.2

7.6 below average

Rating

4.30

Industry average 4.15

0.15 above average

Reply rate

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Industry average 29.7%

not measured

Competitive Performance Rank

Among ranked Paid Surveys & Rewards companies

#104of 142 ranked in Paid Surveys & Rewards
Top 73% · Mid Packdown 1 from last month
#1 (best)#142 (worst)
#102Peer
#103Peer
#104This company
#105Peer
#106Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

83% of reviews positive, 16% negative

83%
positive
  • Positive83%
  • Neutral1%
  • Negative16%

Sentiment Balance

Covering August 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 20% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Loyalty
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Onboarding
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Response Speed
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Problem Resolution
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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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