Customereye

TheraNest by Ensora Health

Software & Web Services • United Statestheranest.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 578 days (about 5.3 per month). Busiest month: 76% of reviews — one month dominates this sample. Languages: en 91%, unknown 9%.

Overall Score

75/100
+30.0 vs. last month3.79 ★ average rating · 100 reviews
75/100 from 100 reviews over 4 months, limited confidence. one month holds 76% of the reviews.

Software & Web Services average: score 60.8, rating 4.09 stars, reply rate 36.0%, over 2,242 ranked companies · benchmark 30 Oct 2026

Score

75.0

Industry average 60.8

14.2 above average

Rating

3.79

Industry average 4.09

0.30 below average

Reply rate

—

Industry average 36.0%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#429of 2242 ranked in Software & Web Services
Top 19% · Top Tierup 370 from last month
#1 (best)#2242 (worst)
#427Peer
#428Peer
#429This company
#430Peer
#431Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

64% of reviews positive, 32% negative

64%
positive
  • Positive64%
  • Neutral4%
  • Negative32%

Sentiment Balance

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

—
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)
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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Onboarding
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Customer Support
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Problem Resolution
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Loyalty
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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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