Customereye

Kall8

Mobile & Telecomwww.kall8.com

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.

100 reviews over 1,708 days (about 1.8 per month). Busiest month: 85% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

56/100
Short observation window (1708 days)
4.52 ★ average rating · 100 reviews
56/100 from 100 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 85% of the reviews.

Mobile & Telecom average: score 53.5, rating 3.65 stars, reply rate 35.9%, over 382 ranked companies · benchmark 6 Oct 2026

Score

55.8

Industry average 53.5

2.3 above average

Rating

4.52

Industry average 3.65

0.87 above average

Reply rate

—

Industry average 35.9%

not measured

Competitive Performance Rank

Among ranked Mobile & Telecom companies

#179of 382 ranked in Mobile & Telecom
Top 47% · Upper Half
#1 (best)#382 (worst)
#177Peer
#178Peer
#179This company
#180Peer
#181Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

88% of reviews positive, 12% negative

88%
positive
  • Positive88%
  • Neutral0%
  • Negative12%

Sentiment Balance

Covering May 2024 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% 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

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Product Quality
Hidden
Loyalty
Hidden
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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