Customereye

Soft Serve Parts

Food & Dining • United Stateswww.softserveparts.com

Review data last updated .

Based on public reviews and response behavior.

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500 reviews over 1,057 days (about 14 per month). Busiest month: 6% of reviews. Languages: en 84%, unknown 12%, es 2%.

Overall Score

53/100
−10.8 vs. last month4.71 ★ average rating · 500 reviews
53/100 from 500 reviews over 33 months, high confidence.

Food & Dining average: score 52.0, rating 3.33 stars, reply rate 18.6%, over 391 ranked companies · benchmark 30 Oct 2026

Score

53.0

Industry average 52.0

1.0 above average

Rating

4.71

Industry average 3.33

1.38 above average

Reply rate

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Industry average 18.6%

not measured

Competitive Performance Rank

Among ranked Food & Dining companies

#185of 391 ranked in Food & Dining
Top 47% · Upper Halfdown 18 from last month
#1 (best)#391 (worst)
#183Peer
#184Peer
#185This company
#186Peer
#187Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

71% of reviews positive, 29% negative

71%
positive
  • Positive71%
  • Neutral0%
  • Negative29%

Sentiment Balance

Covering July 2026 — 20 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 15% negative and 5% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Response Speed
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Customer Support
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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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