Free Tool

Free Trustpilot TrustScore Calculator (Bayesian formula)

Calculate your Trustpilot TrustScore using the actual Bayesian formula. Enter your star distribution, see your real score, plus the marginal impact of each new review.
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5x more reviews
+300k reviews collected
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Enter your review distribution. The TrustScore uses Bayesian smoothing (a prior weight of 9 reviews at 3.5/5), which is why a profile with few reviews never shows 5.0 even if all reviews are 5-star.

★★★★★ 5
★★★★ 4
★★★★★ 3
★★★★★ 2
★★★★ 1

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Starter
0-250 orders /mo
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Pro plan includes:
WhatsApp, SMS, Email
Basic AI Analysis
Trustpilot Auto-Matching Reviews
Custom branding
Slack & discord notifications
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119€
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⃪ All Starter features
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How it Works

See your real TrustScore (and the math behind it)

Trustpilot's TrustScore is not a simple average. It uses Bayesian smoothing (a virtual prior of 9 reviews at 3.5 stars) which is why a brand-new profile with one 5-star review shows ~3.65, not 5.0. This tool computes the exact TrustScore from your distribution and shows how many 5-star reviews you need to reach the next threshold.

Enter your star distribution

Count of 5-star, 4-star, 3-star, 2-star, and 1-star reviews. Pull these from your Trustpilot dashboard under Reviews — the "Reviews summary" section shows the full breakdown.

Read the calculated TrustScore

The tool applies the Bayesian formula and outputs your real TrustScore plus a comparison to a naive average (which is always higher because of the Bayesian smoothing). The "Bayesian penalty" tells you how much smoothing is currently pulling your score down.

Plan your improvement

The simulator shows how many additional 5-star reviews you need to reach the next 0.1 threshold. The math gets harder as your volume grows: the first 0.1 jump is fast, the next is exponentially slower because of Bayesian dilution.

FAQ

Your questions, answered.

Why is my TrustScore lower than the average of my star ratings?
Trustpilot uses Bayesian smoothing. Every business effectively starts with 9 imaginary reviews at 3.5 stars. As you collect real reviews, those imaginary ones get washed out, but for low-volume profiles they pull your average toward 3.5. A profile with 50 reviews averaging 4.8 stars typically shows a TrustScore around 4.5-4.6.
Does Trustpilot factor time decay into the score?
Yes. Reviews from the last 12 months get full weight. Reviews 12-24 months old: ~70% weight. 24-36 months: ~45%. 36+: ~30%. This calculator approximates the Bayesian component but does not model time decay (it assumes all reviews are recent). For older review bases, your real TrustScore may be slightly lower than this tool shows.
How does this compare to the simple average shown elsewhere?
A simple average treats every review equally and starts from a clean slate. The Bayesian average smooths toward the platform mean (3.5/5) for low-volume profiles. As volume grows, the two converge. At 1000+ reviews, they're typically within 0.05 points. At under 100 reviews, the difference can be 0.3-0.5 points.
How can I improve my TrustScore fastest?
Volume is the highest-leverage move. Going from 100 to 500 reviews of the same average rating raises your TrustScore by ~0.15 points (Bayesian dilution). Active collection beats passive collection by 5-8x in volume. See our <a href="/blog/how-to-get-more-trustpilot-reviews-on-shopify">9-tactic Trustpilot collection playbook</a> for the operational details.