Customereye

Firehouse Subs

Food & Diningwww.firehousesubs.com

Review data last updated .

Based on public reviews and response behavior.

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585 reviews over 2,058 days (about 8.7 per month). Busiest month: 9% of reviews. Languages: en 99%, unknown 1%, sq 0%.

Overall Score

59/100
−6.9 vs. last month3.73 ★ average rating · 585 reviews
59/100 from 585 reviews over 15 months, high confidence.

Food & Dining average: score 51.9, rating 3.32 stars, reply rate 18.6%, over 394 ranked companies · benchmark 3 Nov 2026

Score

58.8

Industry average 51.9

6.9 above average

Rating

3.73

Industry average 3.32

0.41 above average

Reply rate

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Industry average 18.6%

not measured

Competitive Performance Rank

Among ranked Food & Dining companies

#124of 394 ranked in Food & Dining
Top 31% · Upper Halfdown 15 from last month
#1 (best)#394 (worst)
#122Peer
#123Peer
#124This company
#125Peer
#126Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

64% of reviews positive, 35% negative

64%
positive
  • Positive64%
  • Neutral1%
  • Negative35%

Sentiment Balance

Covering August 2026 — 47 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 66% of reviews in this period, with 34% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Loyalty
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Customer Support
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Problem Resolution
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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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