Customereye

Belong

Real Estate & Propertybelonghome.com

Review data last updated .

Based on public reviews and response behavior.

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638 reviews over 2,101 days (about 9.2 per month). Busiest month: 7% of reviews. Languages: en 76%, unknown 23%, no 0%.

Overall Score

63/100
−29.0 vs. last month2.87 ★ average rating · 638 reviews
63/100 from 638 reviews over 64 months, high confidence.

Real Estate & Property average: score 68.2, rating 4.27 stars, reply rate 48.7%, over 1,138 ranked companies · benchmark 2 Nov 2026

Score

63.4

Industry average 68.2

4.8 below average

Rating

2.87

Industry average 4.27

1.40 below average

Reply rate

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Industry average 48.7%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#737of 1138 ranked in Real Estate & Property
Top 65% · Mid Packdown 51 from last month
#1 (best)#1138 (worst)
#735Peer
#736Peer
#737This company
#738Peer
#739Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

45% of reviews positive, 54% negative

45%
positive
  • Positive45%
  • Neutral1%
  • Negative54%

Sentiment Balance

Covering September 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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Communication
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Product Quality
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Loyalty
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Onboarding
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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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