Customereye

YTpals

Software & Web Services • Canadawww.ytpals.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,172 days (about 2.6 per month). Busiest month: 20% of reviews. Languages: en 86%, ar 5%, fr 2%.

Overall Score

72/100
−12.5 vs. last month4.81 ★ average rating · 100 reviews
72/100 from 100 reviews over 7 months, moderate confidence.

Software & Web Services average: score 61.8, rating 4.15 stars, reply rate 34.4%, over 3,145 ranked companies · benchmark 24 Oct 2026

Score

71.5

Industry average 61.8

9.7 above average

Rating

4.81

Industry average 4.15

0.66 above average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#933of 3145 ranked in Software & Web Services
Top 30% · Upper Halfdown 102 from last month
#1 (best)#3145 (worst)
#931Peer
#932Peer
#933This company
#934Peer
#935Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

87% of reviews positive, 13% negative

87%
positive
  • Positive87%
  • Neutral0%
  • Negative13%

Sentiment Balance

Covering October 2023 — 8 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 88% of reviews in this period, with 13% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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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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