Customereye

MoneyDolly

Software & Web Services • United Statesmoneydolly.com

Review data last updated .

Based on public reviews and response behavior.

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910 reviews over 1,818 days (about 15 per month). Busiest month: 92% of reviews — one month dominates this sample. Languages: en 99%, unknown 1%.

Overall Score

52/100
+7.0 vs. last month4.75 ★ average rating · 910 reviews
52/100 from 910 reviews over 10 months, moderate confidence. one month holds 92% of the reviews.

Software & Web Services average: score 61.8, rating 4.15 stars, reply rate 34.4%, over 3,146 ranked companies · benchmark 23 Oct 2026

Score

52.3

Industry average 61.8

9.5 below average

Rating

4.75

Industry average 4.15

0.60 above average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2378of 3146 ranked in Software & Web Services
Top 76% · Bottom Tierup 187 from last month
#1 (best)#3146 (worst)
#2376Peer
#2377Peer
#2378This company
#2379Peer
#2380Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

79% of reviews positive, 19% negative

79%
positive
  • Positive79%
  • Neutral3%
  • Negative19%

Sentiment Balance

Covering August 2026 — 837 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 79% of reviews in this period, with 18% negative and 3% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Product Quality
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Onboarding
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Customer Support
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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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