Customereye

Tada

Paid Surveys & Rewards • United Statestada.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 974 days (about 3.1 per month). Busiest month: 15% of reviews. Languages: en 98%, es 2%.

Overall Score

46/100
3.86 ★ average rating · 100 reviews
46/100 from 100 reviews over 12 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

46.1

Industry average 61.2

15.1 below average

Rating

3.86

Industry average 4.15

0.29 below average

Reply rate

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Industry average 29.7%

not measured

Competitive Performance Rank

Among ranked Paid Surveys & Rewards companies

#130of 142 ranked in Paid Surveys & Rewards
Top 92% · Bottom Tier
#1 (best)#142 (worst)
#128Peer
#129Peer
#130This company
#131Peer
#132Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

66% of reviews positive, 29% negative

66%
positive
  • Positive66%
  • Neutral5%
  • Negative29%

Sentiment Balance

Covering August 2025 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% 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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Customer Support
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Problem Resolution
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Product Quality
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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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