Customereye

Saj Hussain Wealth Academy

Lending & Consumer Financesajhussain.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,128 days (about 2.7 per month). Busiest month: 12% of reviews. Languages: en 100%.

Overall Score

75/100
4.93 ★ average rating · 100 reviews
75/100 from 100 reviews over 15 months, moderate confidence.

Lending & Consumer Finance average: score 67.4, rating 4.40 stars, reply rate 44.1%, over 2,601 ranked companies · benchmark 21 Oct 2026

Score

75.0

Industry average 67.4

7.6 above average

Rating

4.93

Industry average 4.40

0.53 above average

Reply rate

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Industry average 44.1%

not measured

Competitive Performance Rank

Among ranked Lending & Consumer Finance companies

#909of 2601 ranked in Lending & Consumer Finance
Top 35% · Upper Half
#1 (best)#2601 (worst)
#907Peer
#908Peer
#909This company
#910Peer
#911Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

91% of reviews positive, 9% negative

91%
positive
  • Positive91%
  • Neutral0%
  • Negative9%

Sentiment Balance

Covering August 2026 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Product Quality
Hidden
Loyalty
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Customer Support
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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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