Customereye

Porkbun

Software & Web Services • United Statesporkbun.com

Review data last updated .

Based on public reviews and response behavior.

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1,000 reviews over 38 days (about 801 per month). Busiest month: 59% of reviews — one month dominates this sample. Languages: en 83%, unknown 13%, es 2%.

Overall Score

76/100
Short observation window (38 days)
+1.0 vs. last month4.84 ★ average rating · 1,000 reviews
76/100 from 1,000 reviews over 2 months, high confidence. trend not shown: window under six months. one month holds 59% of the reviews.

Software & Web Services average: score 59.5, rating 4.07 stars, reply rate 35.6%, over 2,155 ranked companies · benchmark 7 Oct 2026

Score

75.5

Industry average 59.5

16.0 above average

Rating

4.84

Industry average 4.07

0.77 above average

Reply rate

—

Industry average 35.6%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#331of 2155 ranked in Software & Web Services
Top 15% · Top Tierup 35 from last month
#1 (best)#2155 (worst)
#329Peer
#330Peer
#331This company
#332Peer
#333Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

87% of reviews positive, 12% negative

87%
positive
  • Positive87%
  • Neutral1%
  • Negative12%

Sentiment Balance

Covering July 2026 — 402 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 87% of reviews in this period, with 11% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Onboarding
Hidden
Pricing
Hidden
Product Quality
Hidden
Hidden

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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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