Customereye

NewsTeam Group

Media & Contentwww.newsteamgroup.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 13 days (about 468 per month). Busiest month: 100% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

71/100
Short observation window (13 days)
4.68 ★ average rating · 200 reviews
71/100 from 200 reviews over 1 months, moderate confidence. trend not shown: window under six months. one month holds 100% of the reviews.

Media & Content average: score 59.8, rating 4.08 stars, reply rate 32.0%, over 671 ranked companies · benchmark 21 Sept 2026

Score

71.3

Industry average 59.8

11.5 above average

Rating

4.68

Industry average 4.08

0.60 above average

Reply rate

Industry average 32.0%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#177of 671 ranked in Media & Content
Top 26% · Upper Half
#1 (best)#671 (worst)
#175Peer
#176Peer
#177This company
#178Peer
#179Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

80% of reviews positive, 19% negative

80%
positive
  • Positive80%
  • Neutral2%
  • Negative19%

Sentiment Balance

Covering September 2026 — 200 reviews, not the company's full review history.

positive
  • Positive
  • Neutral
  • Negative

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 19% negative and 2% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 1 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

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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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