Customereye

blinq.me

Software & Web Services • Australiablinq.me

Review data last updated .

Based on public reviews and response behavior.

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199 reviews over 266 days (about 23 per month). Busiest month: 27% of reviews. Languages: en 98%, es 2%, fr 1%.

Overall Score

72/100
+27.3 vs. last month4.76 ★ average rating · 199 reviews
72/100 from 199 reviews over 10 months, moderate confidence.

Software & Web Services average: score 60.8, rating 4.09 stars, reply rate 36.0%, over 2,242 ranked companies · benchmark 30 Oct 2026

Score

72.2

Industry average 60.8

11.4 above average

Rating

4.76

Industry average 4.09

0.67 above average

Reply rate

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Industry average 36.0%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#568of 2242 ranked in Software & Web Services
Top 25% · Upper Halfup 590 from last month
#1 (best)#2242 (worst)
#566Peer
#567Peer
#568This company
#569Peer
#570Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

80% of reviews positive, 18% negative

80%
positive
  • Positive80%
  • Neutral2%
  • Negative18%

Sentiment Balance

Covering September 2026 — 6 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Onboarding
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Communication
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Product Quality
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Delivery Shipping
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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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