Customereye

piston-token.com

Finance & Insurancepiston-token.com

Review data last updated .

Based on public reviews and response behavior.

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56 reviews over 83 days (about 21 per month). Busiest month: 93% of reviews — one month dominates this sample. Languages: en 73%, it 23%, ar 2%.

Overall Score

75/100
4.84 ★ average rating · 56 reviews
75/100 from 56 reviews over 1 months, limited confidence. no reviews in the last 12 months. one month holds 93% of the reviews.

These figures describe an earlier period, not the last 12 months.

Finance & Insurance average: score 62.0, rating 4.09 stars, reply rate 43.3%, over 3,562 ranked companies · benchmark 21 Oct 2026

Score

75.1

Industry average 62.0

13.1 above average

Rating

4.84

Industry average 4.09

0.75 above average

Reply rate

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Industry average 43.3%

not measured

Competitive Performance Rank

Not ranked

no reviews in the last 12 months

Overall Customer Sentiment

Below Average

93% of reviews positive, 7% negative

93%
positive
  • Positive93%
  • Neutral0%
  • Negative7%

Sentiment Balance

Covering May 2022 — 52 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 94% of reviews in this period, with 6% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
Hidden
Delivery Shipping
Hidden
Hidden

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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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