Customereye

Medicare Nationwide

Finance & Insurancewww.medicarenationwide.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 788 days (about 3.9 per month). Busiest month: 8% of reviews. Languages: en 100%.

Overall Score

85/100
−20.0 vs. last month4.91 ★ average rating · 100 reviews
85/100 from 100 reviews over 21 months, moderate confidence.

Finance & Insurance average: score 63.9, rating 4.22 stars, reply rate 45.0%, over 3,263 ranked companies · benchmark 25 Oct 2026

Score

85.2

Industry average 63.9

21.3 above average

Rating

4.91

Industry average 4.22

0.69 above average

Reply rate

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Industry average 45.0%

not measured

Competitive Performance Rank

Among ranked Finance & Insurance companies

#298of 3263 ranked in Finance & Insurance
Top 9% · Top Tierdown 149 from last month
#1 (best)#3263 (worst)
#296Peer
#297Peer
#298This company
#299Peer
#300Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

93% of reviews positive, 7% negative

93%
positive
  • Positive93%
  • Neutral0%
  • Negative7%

Sentiment Balance

Covering October 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 20% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
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Onboarding
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Product Quality
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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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