Customereye

Payhip - Sell Digital Products

Software & Web Servicespayhip.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 290 days (about 21 per month). Busiest month: 18% of reviews. Languages: en 95%, fr 3%, es 1%.

Overall Score

57/100
+12.9 vs. last month4.62 ★ average rating · 200 reviews
57/100 from 200 reviews over 10 months, moderate confidence.

Software & Web Services average: score 60.7, rating 4.06 stars, reply rate 34.1%, over 3,306 ranked companies · benchmark 23 Oct 2026

Score

57.3

Industry average 60.7

3.4 below average

Rating

4.62

Industry average 4.06

0.56 above average

Reply rate

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Industry average 34.1%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1985of 3306 ranked in Software & Web Services
Top 60% · Mid Packup 316 from last month
#1 (best)#3306 (worst)
#1983Peer
#1984Peer
#1985This company
#1986Peer
#1987Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

89% of reviews positive, 11% negative

89%
positive
  • Positive89%
  • Neutral0%
  • Negative11%

Sentiment Balance

Covering September 2026 — 24 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 96% of reviews in this period, with 4% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
Hidden
Onboarding
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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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