Customereye

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Software & Web Servicespandadoc.com

Review data last updated .

Based on public reviews and response behavior.

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163 reviews over 2,700 days (about 1.8 per month). Busiest month: 17% of reviews. Languages: en 98%, de 1%, es 1%.

Overall Score

36/100
−3.3 vs. last month2.48 ★ average rating · 163 reviews
36/100 from 163 reviews over 22 months, moderate confidence.

Software & Web Services average: score 59.8, rating 4.00 stars, reply rate 35.3%, over 2,465 ranked companies · benchmark 2 Nov 2026

Score

36.4

Industry average 59.8

23.4 below average

Rating

2.48

Industry average 4.00

1.52 below average

Reply rate

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Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2245of 2465 ranked in Software & Web Services
Top 91% · Bottom Tierup 9 from last month
#1 (best)#2465 (worst)
#2243Peer
#2244Peer
#2245This company
#2246Peer
#2247Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

50% of reviews positive, 50% negative

50%
positive
  • Positive50%
  • Neutral1%
  • Negative50%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 17% of reviews in this period, with 83% 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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Onboarding
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Pricing
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Problem Resolution
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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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