Customereye

FocusGroups.org

Paid Surveys & Rewardsfocusgroups.org

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 332 days (about 9.2 per month). Busiest month: 31% of reviews. Languages: en 99%, pt 1%.

Overall Score

64/100
−10.0 vs. last month4.18 ★ average rating · 100 reviews
64/100 from 100 reviews over 8 months, moderate confidence.

Paid Surveys & Rewards average: score 61.5, rating 4.23 stars, reply rate 28.9%, over 156 ranked companies · benchmark 24 Oct 2026

Score

64.0

Industry average 61.5

2.5 above average

Rating

4.18

Industry average 4.23

0.05 below average

Reply rate

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Industry average 28.9%

not measured

Competitive Performance Rank

Among ranked Paid Surveys & Rewards companies

#62of 156 ranked in Paid Surveys & Rewards
Top 40% · Upper Halfup 19 from last month
#1 (best)#156 (worst)
#60Peer
#61Peer
#62This company
#63Peer
#64Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

74% of reviews positive, 25% negative

74%
positive
  • Positive74%
  • Neutral1%
  • Negative25%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 40% of reviews in this period, with 60% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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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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