Customereye

MileIQ

Software & Web Servicesmileiq.com

Review data last updated .

Based on public reviews and response behavior.

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302 reviews over 615 days (about 15 per month). Busiest month: 55% of reviews — one month dominates this sample. Languages: en 98%, unknown 2%.

Overall Score

47/100
−25.1 vs. last month4.25 ★ average rating · 302 reviews
47/100 from 302 reviews over 8 months, moderate confidence. one month holds 55% of the reviews.

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

46.8

Industry average 60.3

13.5 below average

Rating

4.25

Industry average 4.05

0.20 above average

Reply rate

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Industry average 35.6%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1928of 2326 ranked in Software & Web Services
Top 83% · Bottom Tierdown 530 from last month
#1 (best)#2326 (worst)
#1926Peer
#1927Peer
#1928This company
#1929Peer
#1930Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

70% of reviews positive, 28% negative

70%
positive
  • Positive70%
  • Neutral2%
  • Negative28%

Sentiment Balance

Covering August 2026 — 165 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 64% of reviews in this period, with 33% negative and 2% 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

Onboarding
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Product Quality
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Loyalty
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Pricing
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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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