Customereye

Myboost

Software & Web Servicesmyboost.io

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

73 reviews over 91 days (about 24 per month). Busiest month: 95% of reviews — one month dominates this sample. Languages: fr 73%, en 27%.

Overall Score

29/100
Short observation window (91 days)
−6.5 vs. last month4.64 ★ average rating · 73 reviews
29/100 from 73 reviews over 2 months, limited confidence. trend not shown: window under six months. one month holds 95% of the reviews.

Software & Web Services average: score 59.5, rating 4.06 stars, reply rate 36.1%, over 2,026 ranked companies · benchmark 6 Oct 2026

Score

29.1

Industry average 59.5

30.4 below average

Rating

4.64

Industry average 4.06

0.58 above average

Reply rate

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Industry average 36.1%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1940of 2026 ranked in Software & Web Services
Top 96% · Bottom Tier
#1 (best)#2026 (worst)
#1938Peer
#1939Peer
#1940This company
#1941Peer
#1942Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

26% of reviews positive, 73% negative

26%
positive
  • Positive26%
  • Neutral1%
  • Negative73%

Sentiment Balance

Covering June 2026 — 69 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 26% of reviews in this period, with 73% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Reviews are mostly in French

Theme Distribution

Share of theme mentions

Response Speed
Hidden
Delivery Shipping
Hidden
Customer Support
Hidden
Product Quality
Hidden
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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