Customereye

Loom

Software & Web Services • United Statesloom.com

Review data last updated .

Based on public reviews and response behavior.

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135 reviews over 361 days (about 11 per month). Busiest month: 12% of reviews. Languages: en 95%, es 3%, it 2%.

Overall Score

34/100
−40.0 vs. last month1.23 ★ average rating · 135 reviews
34/100 from 135 reviews over 13 months, moderate confidence.

Software & Web Services average: score 60.3, rating 4.05 stars, reply rate 35.6%, over 2,326 ranked companies · benchmark 31 Oct 2026

Score

34.4

Industry average 60.3

25.9 below average

Rating

1.23

Industry average 4.05

2.82 below average

Reply rate

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Industry average 35.6%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2162of 2326 ranked in Software & Web Services
Top 93% · Bottom Tierup 593 from last month
#1 (best)#2326 (worst)
#2160Peer
#2161Peer
#2162This company
#2163Peer
#2164Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

19% of reviews positive, 81% negative

19%
positive
  • Positive19%
  • Neutral1%
  • Negative81%

Sentiment Balance

Covering October 2026 — 6 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 100% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Loyalty
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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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