Customereye

The White House

Government & Civic • United Stateswww.whitehouse.gov

Review data last updated .

Based on public reviews and response behavior.

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503 reviews over 1,806 days (about 8.5 per month). Busiest month: 46% of reviews. Languages: en 99%, unknown 1%, fr 0%.

Overall Score

56/100
+11.5 vs. last month3.66 ★ average rating · 503 reviews
56/100 from 503 reviews over 20 months, high confidence.

Government & Civic average: score 33.5, rating 2.15 stars, reply rate 5.8%, over 21 ranked companies · benchmark 3 Nov 2026

Score

56.4

Industry average 33.5

22.9 above average

Rating

3.66

Industry average 2.15

1.51 above average

Reply rate

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Industry average 5.8%

not measured

Competitive Performance Rank

Among ranked Government & Civic companies

#3of 21 ranked in Government & Civic
Top 14% · Top Tierup 1 from last month
#1 (best)#21 (worst)
#1Peer
#2Peer
#3This company
#4Peer
#5Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

60% of reviews positive, 38% negative

60%
positive
  • Positive60%
  • Neutral2%
  • Negative38%

Sentiment Balance

Covering August 2026 — 34 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 79% of reviews in this period, with 15% negative and 6% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Loyalty
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Customer Support
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Communication
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Onboarding
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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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