Customereye

TextRanch

Schools & Academic Education • United Statestextranch.com

Review data last updated .

Based on public reviews and response behavior.

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1,149 days of reviews, with a sparse monthly review flow. Busiest month: 22% of reviews. Languages: en 85%, unknown 14%, pt 1%.

Overall Score

73/100
4.94 ★ average rating
73/100 from public reviews over 8 months, moderate confidence.

Schools & Academic Education average: score 69.5, rating 4.55 stars, reply rate 38.8%, over 1,016 ranked companies · benchmark 4 Nov 2026

Score

72.9

Industry average 69.5

3.4 above average

Rating

4.94

Industry average 4.55

0.39 above average

Reply rate

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Industry average 38.8%

not measured

Competitive Performance Rank

Among ranked Schools & Academic Education companies

#466of 1016 ranked in Schools & Academic Education
Top 46% · Upper Half
#1 (best)#1016 (worst)
#464Peer
#465Peer
#466This company
#467Peer
#468Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

92% of reviews positive, 7% negative

92%
positive
  • Positive92%
  • Neutral1%
  • Negative7%

Sentiment Balance

Covering September 2024, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 91% of reviews in this period, with 9% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
Hidden
Response Speed
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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