Customereye

Toluna

Paid Surveys & Rewards • United Stateswww.toluna.com

Review data last updated .

Based on public reviews and response behavior.

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2,447 reviews over 2,367 days (about 31 per month). Busiest month: 69% of reviews — one month dominates this sample. Languages: en 45%, unknown 14%, es 10%.

Overall Score

70/100
−38.4 vs. last month3.95 ★ average rating · 2,447 reviews
70/100 from 2,447 reviews over 68 months, high confidence. one month holds 69% of the reviews.

Paid Surveys & Rewards average: score 55.6, rating 3.85 stars, reply rate 28.3%, over 193 ranked companies · benchmark 4 Oct 2026

Score

70.3

Industry average 55.6

14.7 above average

Rating

3.95

Industry average 3.85

0.10 above average

Reply rate

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Industry average 28.3%

not measured

Competitive Performance Rank

Among ranked Paid Surveys & Rewards companies

#26of 193 ranked in Paid Surveys & Rewards
Top 13% · Top Tier
#1 (best)#193 (worst)
#24Peer
#25Peer
#26This company
#27Peer
#28Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

56% of reviews positive, 43% negative

56%
positive
  • Positive56%
  • Neutral1%
  • Negative43%

Sentiment Balance

Covering July 2026 — 1,682 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 61% of reviews in this period, with 38% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Onboarding
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Product Quality
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Loyalty
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Response Speed
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Communication
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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