Customereye

Perlego

Software & Web Services • United Kingdomwww.perlego.com

Review data last updated .

Based on public reviews and response behavior.

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806 reviews over 2,732 days (about 9 per month). Busiest month: 3% of reviews. Languages: en 99%, es 0%, it 0%.

Overall Score

47/100
+20.5 vs. last month3.04 ★ average rating · 806 reviews
47/100 from 806 reviews over 82 months, high confidence.

Software & Web Services average: score 61.8, rating 4.15 stars, reply rate 34.4%, over 3,146 ranked companies · benchmark 23 Oct 2026

Score

46.5

Industry average 61.8

15.3 below average

Rating

3.04

Industry average 4.15

1.11 below average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2694of 3146 ranked in Software & Web Services
Top 86% · Bottom Tierup 174 from last month
#1 (best)#3146 (worst)
#2692Peer
#2693Peer
#2694This company
#2695Peer
#2696Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

50% of reviews positive, 48% negative

50%
positive
  • Positive50%
  • Neutral2%
  • Negative48%

Sentiment Balance

Covering August 2026 — 13 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 54% of reviews in this period, with 46% 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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Customer Support
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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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