Customereye

WeCanFixAnything

Computers & Hardwarewww.wecanfixanything.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,865 days (about 1.6 per month). Busiest month: 65% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

76/100
+25.0 vs. last month5.00 ★ average rating · 100 reviews
76/100 from 100 reviews over 8 months, moderate confidence. one month holds 65% of the reviews.

Computers & Hardware average: score 59.3, rating 4.30 stars, reply rate 30.5%, over 369 ranked companies · benchmark 17 Oct 2026

Score

75.9

Industry average 59.3

16.6 above average

Rating

5.00

Industry average 4.30

0.70 above average

Reply rate

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Industry average 30.5%

not measured

Competitive Performance Rank

Among ranked Computers & Hardware companies

#49of 369 ranked in Computers & Hardware
Top 13% · Top Tierup 33 from last month
#1 (best)#369 (worst)
#47Peer
#48Peer
#49This company
#50Peer
#51Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

91% of reviews positive, 8% negative

91%
positive
  • Positive91%
  • Neutral1%
  • Negative8%

Sentiment Balance

Covering November 2021 — 3 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

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Problem Resolution
Hidden
Loyalty
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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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