Customereye

Verasight

Paid Surveys & Rewardsverasight.io

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 61 days (about 50 per month). Busiest month: 49% of reviews. Languages: en 92%, unknown 7%, es 1%.

Overall Score

53/100
Short observation window (61 days)
−6.2 vs. last month4.78 ★ average rating · 100 reviews
53/100 from 100 reviews over 3 months, moderate confidence. trend not shown: window under six months.

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

Score

53.4

Industry average 61.2

7.8 below average

Rating

4.78

Industry average 4.15

0.63 above average

Reply rate

—

Industry average 29.7%

not measured

Competitive Performance Rank

Among ranked Paid Surveys & Rewards companies

#105of 142 ranked in Paid Surveys & Rewards
Top 74% · Mid Packdown 2 from last month
#1 (best)#142 (worst)
#103Peer
#104Peer
#105This company
#106Peer
#107Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

80% of reviews positive, 19% negative

80%
positive
  • Positive80%
  • Neutral1%
  • Negative19%

Sentiment Balance

Covering August 2026 — 21 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 71% of reviews in this period, with 29% 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

Product Quality
Hidden
Onboarding
Hidden
Response Speed
Hidden
Communication
Hidden
Hidden

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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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