Customereye

Letsextract Email Studio

Software & Web Servicesletsextract.com

Review data last updated .

Based on public reviews and response behavior.

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52 reviews over 2,265 days (about 0.7 per month). Busiest month: 17% of reviews. Languages: en 90%, ru 6%, bg 2%.

Overall Score

44/100
3.48 ★ average rating · 52 reviews
44/100 from 52 reviews over 4 months, limited confidence.

Software & Web Services average: score 61.8, rating 4.15 stars, reply rate 34.4%, over 3,145 ranked companies · benchmark 24 Oct 2026

Score

44.1

Industry average 61.8

17.7 below average

Rating

3.48

Industry average 4.15

0.67 below average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2768of 3145 ranked in Software & Web Services
Top 88% · Bottom Tier
#1 (best)#3145 (worst)
#2766Peer
#2767Peer
#2768This company
#2769Peer
#2770Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

60% of reviews positive, 40% negative

60%
positive
  • Positive60%
  • Neutral0%
  • Negative40%

Sentiment Balance

Covering March 2024 — 6 reviews, not the company's full review history.

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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)
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Theme Distribution

Share of theme mentions

Communication
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Customer Support
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Problem Resolution
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Response Speed
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Onboarding
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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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