Customereye

Boost Collective

Media & Content • Canadaboost-collective.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 143 days (about 43 per month). Busiest month: 26% of reviews. Languages: en 99%, de 2%.

Overall Score

54/100
Short observation window (143 days)
+2.9 vs. last month4.05 ★ average rating · 200 reviews
54/100 from 200 reviews over 6 months, moderate confidence. trend not shown: window under six months.

Media & Content average: score 60.6, rating 4.00 stars, reply rate 32.0%, over 1,113 ranked companies · benchmark 23 Oct 2026

Score

54.2

Industry average 60.6

6.4 below average

Rating

4.05

Industry average 4.00

0.05 above average

Reply rate

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Industry average 32.0%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#767of 1113 ranked in Media & Content
Top 69% · Mid Packup 128 from last month
#1 (best)#1113 (worst)
#765Peer
#766Peer
#767This company
#768Peer
#769Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

78% of reviews positive, 23% negative

78%
positive
  • Positive78%
  • Neutral0%
  • Negative23%

Sentiment Balance

Covering September 2026 — 28 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 75% of reviews in this period, with 25% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Based on 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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Pricing
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Delivery Shipping
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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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