Customereye

MK9Plus Dog Training

Veterinary & Pet Services • United Kingdommk9plus.com

Review data last updated .

Based on public reviews and response behavior.

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189 reviews over 378 days (about 15 per month). Busiest month: 19% of reviews. Languages: en 97%, sv 1%, de 1%.

Overall Score

92/100
4.88 ★ average rating · 189 reviews
92/100 from 189 reviews over 13 months, moderate confidence.

Veterinary & Pet Services average: score 66.6, rating 4.45 stars, reply rate 35.9%, over 200 ranked companies · benchmark 2 Nov 2026

Score

92.1

Industry average 66.6

25.5 above average

Rating

4.88

Industry average 4.45

0.43 above average

Reply rate

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Industry average 35.9%

not measured

Competitive Performance Rank

Among ranked Veterinary & Pet Services companies

#10of 200 ranked in Veterinary & Pet Services
Top 5% · Top Tierup 5 from last month
#1 (best)#200 (worst)
#8Peer
#9Peer
#10This company
#11Peer
#12Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

89% of reviews positive, 9% negative

89%
positive
  • Positive89%
  • Neutral2%
  • Negative9%

Sentiment Balance

Covering September 2026 — 7 reviews, not the company's full review history.

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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)
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Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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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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