Customereye

CampaignAgent - Pay Now, Pay Later Real Estate

Lending & Consumer Financecampaignagent.com.au

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

200 reviews over 54 days (about 113 per month). Busiest month: 55% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

47/100
Short observation window (54 days)
−5.7 vs. last month4.53 ★ average rating · 200 reviews
47/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 55% of the reviews.

Lending & Consumer Finance average: score 66.1, rating 4.45 stars, reply rate 50.0%, over 1,240 ranked companies · benchmark 7 Oct 2026

Score

47.4

Industry average 66.1

18.7 below average

Rating

4.53

Industry average 4.45

0.08 above average

Reply rate

—

Industry average 50.0%

not measured

Competitive Performance Rank

Among ranked Lending & Consumer Finance companies

#1134of 1240 ranked in Lending & Consumer Finance
Top 91% · Bottom Tier
#1 (best)#1240 (worst)
#1132Peer
#1133Peer
#1134This company
#1135Peer
#1136Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

73% of reviews positive, 25% negative

73%
positive
  • Positive73%
  • Neutral3%
  • Negative25%

Sentiment Balance

Covering September 2026 — 89 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 69% of reviews in this period, with 27% negative and 5% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 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

Onboarding
Hidden
Customer Support
Hidden
Response Speed
Hidden
Pricing
Hidden
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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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