Customereye

Rafflex By GFNI

Software & Web Servicesgetfoundni.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,411 days (about 2.2 per month). Busiest month: 7% of reviews. Languages: en 100%.

Overall Score

60/100
4.92 ★ average rating · 100 reviews
60/100 from 100 reviews over 17 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

60.4

Industry average 60.7

0.3 below average

Rating

4.92

Industry average 4.06

0.86 above average

Reply rate

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Industry average 34.1%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1693of 3306 ranked in Software & Web Services
Top 51% · Mid Pack
#1 (best)#3306 (worst)
#1691Peer
#1692Peer
#1693This company
#1694Peer
#1695Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

93% of reviews positive, 6% negative

93%
positive
  • Positive93%
  • Neutral1%
  • Negative6%

Sentiment Balance

Covering December 2024 — 4 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)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
Hidden
Product Quality
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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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