Customereye

Zenithpropertymanagement

Real Estate & Propertyzenithpropertymanagement.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,022 days (about 3 per month). Busiest month: 8% of reviews. Languages: en 100%.

Overall Score

48/100
3.88 ★ average rating · 100 reviews
48/100 from 100 reviews over 17 months, moderate confidence.

Real Estate & Property average: score 68.3, rating 4.28 stars, reply rate 48.8%, over 1,126 ranked companies · benchmark 30 Oct 2026

Score

48.3

Industry average 68.3

20.0 below average

Rating

3.88

Industry average 4.28

0.40 below average

Reply rate

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Industry average 48.8%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#1002of 1126 ranked in Real Estate & Property
Top 89% · Bottom Tier
#1 (best)#1126 (worst)
#1000Peer
#1001Peer
#1002This company
#1003Peer
#1004Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

67% of reviews positive, 32% negative

67%
positive
  • Positive67%
  • Neutral1%
  • Negative32%

Sentiment Balance

Covering October 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 40% of reviews in this period, with 60% 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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Loyalty
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Problem Resolution
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Response Speed
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Product Quality
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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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