Customereye

yourteach

Software & Web Services • United Statesuteach.io

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,367 days (about 2.2 per month). Busiest month: 56% of reviews — one month dominates this sample. Languages: en 94%, de 2%, fr 2%.

Overall Score

54/100
−2.3 vs. last month3.54 ★ average rating · 100 reviews
54/100 from 100 reviews over 5 months, limited confidence. one month holds 56% of the reviews.

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

54.0

Industry average 60.8

6.8 below average

Rating

3.54

Industry average 4.09

0.55 below average

Reply rate

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Industry average 36.0%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1537of 2242 ranked in Software & Web Services
Top 69% · Mid Packdown 63 from last month
#1 (best)#2242 (worst)
#1535Peer
#1536Peer
#1537This company
#1538Peer
#1539Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

71% of reviews positive, 29% negative

71%
positive
  • Positive71%
  • Neutral0%
  • Negative29%

Sentiment Balance

Covering January 2025 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 25% of reviews in this period, with 75% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
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Pricing
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Onboarding
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Communication
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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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