Customereye

Acorns Early

Lending & Consumer Financeacorns.com%2Fearly

Review data last updated .

Based on public reviews and response behavior.

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1,016 reviews over 676 days (about 46 per month). Busiest month: 11% of reviews. Languages: en 92%, unknown 8%, es 0%.

Overall Score

52/100
−7.0 vs. last month3.59 ★ average rating · 1,016 reviews
52/100 from 1,016 reviews over 23 months, high confidence.

Lending & Consumer Finance average: score 69.4, rating 4.54 stars, reply rate 48.3%, over 1,872 ranked companies · benchmark 30 Oct 2026

Score

52.1

Industry average 69.4

17.3 below average

Rating

3.59

Industry average 4.54

0.95 below average

Reply rate

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Industry average 48.3%

not measured

Competitive Performance Rank

Among ranked Lending & Consumer Finance companies

#1691of 1872 ranked in Lending & Consumer Finance
Top 90% · Bottom Tierup 157 from last month
#1 (best)#1872 (worst)
#1689Peer
#1690Peer
#1691This company
#1692Peer
#1693Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

60% of reviews positive, 39% negative

60%
positive
  • Positive60%
  • Neutral2%
  • Negative39%

Sentiment Balance

Covering September 2026 — 14 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 43% of reviews in this period, with 57% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Pricing
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Product Quality
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Customer Support
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Loyalty
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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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