Customereye

HyperJar

Lending & Consumer Financehyperjar.com

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 34 days (about 179 per month). Busiest month: 69% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

74/100
Short observation window (34 days)
−9.8 vs. last month4.79 ★ average rating · 200 reviews
74/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 69% of the reviews.

Lending & Consumer Finance average: score 65.4, rating 4.43 stars, reply rate 49.6%, over 1,138 ranked companies · benchmark 5 Oct 2026

Score

74.2

Industry average 65.4

8.8 above average

Rating

4.79

Industry average 4.43

0.36 above average

Reply rate

—

Industry average 49.6%

not measured

Competitive Performance Rank

Among ranked Lending & Consumer Finance companies

#311of 1138 ranked in Lending & Consumer Finance
Top 27% · Upper Half
#1 (best)#1138 (worst)
#309Peer
#310Peer
#311This company
#312Peer
#313Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

87% of reviews positive, 12% negative

87%
positive
  • Positive87%
  • Neutral2%
  • Negative12%

Sentiment Balance

Covering September 2026 — 137 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 84% of reviews in this period, with 15% negative and 2% 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

Customer Support
Hidden
Response Speed
Hidden
Product Quality
Hidden
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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