Customereye

SocietyOne

Finance & Insurancewww.societyone.com.au

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,277 days (about 1.3 per month). Busiest month: 23% of reviews. Languages: en 100%.

Overall Score

65/100
−8.7 vs. last month4.57 ★ average rating · 100 reviews
65/100 from 100 reviews over 5 months, moderate confidence.

Finance & Insurance average: score 63.9, rating 4.22 stars, reply rate 45.0%, over 3,264 ranked companies · benchmark 23 Oct 2026

Score

64.7

Industry average 63.9

0.8 above average

Rating

4.57

Industry average 4.22

0.35 above average

Reply rate

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Industry average 45.0%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#1750of 3264 ranked in Finance & Insurance
Top 54% · Mid Packdown 14 from last month
#1 (best)#3264 (worst)
#1748Peer
#1749Peer
#1750This company
#1751Peer
#1752Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

89% of reviews positive, 11% negative

89%
positive
  • Positive89%
  • Neutral0%
  • Negative11%

Sentiment Balance

Covering July 2020 — 23 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 91% of reviews in this period, with 9% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
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Response Speed
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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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