Customereye

GuitarTricks.com - Online Guitar Lessons

Media & Content • United Stateswww.guitartricks.com

Review data last updated .

Based on public reviews and response behavior.

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168 reviews over 361 days (about 14 per month). Busiest month: 17% of reviews. Languages: en 98%, unknown 1%, nl 1%.

Overall Score

59/100
−1.5 vs. last month4.58 ★ average rating · 168 reviews
59/100 from 168 reviews over 13 months, moderate confidence.

Media & Content average: score 61.5, rating 4.08 stars, reply rate 32.3%, over 1,059 ranked companies · benchmark 23 Oct 2026

Score

58.7

Industry average 61.5

2.8 below average

Rating

4.58

Industry average 4.08

0.50 above average

Reply rate

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Industry average 32.3%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#627of 1059 ranked in Media & Content
Top 59% · Mid Packup 11 from last month
#1 (best)#1059 (worst)
#625Peer
#626Peer
#627This company
#628Peer
#629Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

88% of reviews positive, 12% negative

88%
positive
  • Positive88%
  • Neutral1%
  • Negative12%

Sentiment Balance

Covering August 2026 — 11 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 82% of reviews in this period, with 18% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Loyalty
Hidden
Product Quality
Hidden
Customer Support
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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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