Customereye

MLB

Software & Web Services • United Statesmlb.tv

Review data last updated .

Based on public reviews and response behavior.

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2,354 reviews over 5,323 days (about 13 per month). Busiest month: 42% of reviews. Languages: en 88%, unknown 11%, es 0%.

Overall Score

36/100
−16.5 vs. last month2.51 ★ average rating · 2,354 reviews
36/100 from 2,354 reviews over 76 months, high confidence.

Software & Web Services average: score 60.8, rating 4.09 stars, reply rate 36.0%, over 2,242 ranked companies · benchmark 30 Oct 2026

Score

36.4

Industry average 60.8

24.4 below average

Rating

2.51

Industry average 4.09

1.58 below average

Reply rate

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Industry average 36.0%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2071of 2242 ranked in Software & Web Services
Top 92% · Bottom Tierup 284 from last month
#1 (best)#2242 (worst)
#2069Peer
#2070Peer
#2071This company
#2072Peer
#2073Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

35% of reviews positive, 64% negative

35%
positive
  • Positive35%
  • Neutral2%
  • Negative64%

Sentiment Balance

Covering September 2026 — 270 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 16% of reviews in this period, with 83% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Loyalty
Hidden
Product Quality
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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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