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How Trustpilot TrustScore is Calculated (2026 Formula Explained)

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What TrustScore Is (and What It Is Not)

TrustScore is the rating users see on your profile. It is not always the same thing as a plain average of stars, especially for low review counts.

In practice, businesses usually care about three outcomes:

How many 5-star reviews are needed to reach a target score.

How quickly score improvements become visible.

How score math changes when volume is low vs high.

If your goal is conversion rather than vanity metrics, pair score math with trust psychology from The Law of Trust: Why 4.6 Stars Can Outperform a Perfect 5.0 .

The Practical Bayesian Model Behind TrustScore Forecasts

A common predictive approach is to treat TrustScore like a Bayesian-weighted average with:

Prior weight: 7 reviews

Prior rating: 3.5 stars

Displayed TrustScore = (RawTotal + 7*3.5) / (ReviewCount + 7)

RawTotal = total star points from actual reviews

ReviewCount = your actual number of reviews

This weighting reduces unstable swings for new profiles. It also explains why first reviews move score differently from later reviews.

Step-by-Step Formula Breakdown

To estimate how many new 5-star reviews ( x ) you need:

Recover current raw total from displayed score:

RawTotal = CurrentDisplayedScore * (CurrentReviews + 7) - 24.5

Solve for x after adding 5-star reviews:

TargetScore = (RawTotal + 5x + 24.5) / (CurrentReviews + x + 7)

x = (TargetScore*(CurrentReviews + 7) - RawTotal - 24.5) / (5 - TargetScore)

Round up because you cannot buy a fraction of a review.

For brand-new profiles ( CurrentReviews = 0 ), this simplifies to:

x = (7*TargetScore - 24.5) / (5 - TargetScore)

Example 1: New profile from baseline to 4.5

Result: 14 five-star reviews needed.

Example 2: Existing profile from 3.8 to 4.4

Current displayed score: 3.8

Result: 53 five-star reviews needed.

Example 3: Mature profile from 4.2 to 4.6

Current displayed score: 4.2

Current reviews: 120

Result: 127 five-star reviews needed.

The pattern is consistent: higher volume improves trust but also requires more reviews for each new decimal increase.

Why Displayed TrustScore and Raw Average Are Different

Teams often get confused because they compare displayed TrustScore to a basic average from an internal spreadsheet.

This difference happens because a weighted baseline dampens early volatility:

Low-volume accounts do not jump too quickly.

Early negative reviews do not permanently lock growth.

Additional volume gradually shifts control from baseline to real customer data.

Operationally, this means planning with a dedicated trustpilot score calculator is safer than guessing from plain averages.

How to Use the Trustpilot Score Calculator Before You Buy Reviews

Before ordering any campaign from buy Trustpilot reviews , run a scenario plan first:

Enter your current TrustScore and review count.

Set realistic targets (for most brands, 4.4 to 4.7 converts strongly).

Compare multiple goals ( +0.2 , +0.4 , +0.6 ) against budget.

Plan review velocity over weeks, not in one spike.

That workflow prevents overbuying and keeps your growth pattern credible.

Is this the official Trustpilot formula?

No. This is a practical predictive model based on weighted averaging and observed score behavior. It is useful for planning, but it should not be presented as Trustpilot's full proprietary production algorithm.

Why does score improvement get slower as reviews grow?

Because each new review has less marginal impact when your existing review count is already high.

Should I target 5.0?

Usually no. A realistic score with strong volume often converts better than a perfect score with low volume.

Where can I calculate my scenario quickly?

Use the TrustScore calculator to test multiple targets before you launch a campaign.

Where can I find the related tools in one place?

Use the OrderBoosts Resources hub for calculators, planning workflows, and the Trustpilot Review Exporter .

For related reading, see Trustpilot Score Calculator: Predict Your Rating Before Reviews and The Ultimate Review Rating Calculator Guide (Trustpilot, Google, G2 and More) .

01 How Trustpilot TrustScore is Calculated (2026 Formula Explained) 02 What TrustScore Is (and What It Is Not) 03 The Practical Bayesian Model Behind TrustScore Forecasts 04 Step-by-Step Formula Breakdown 05 Worked Examples Using Real Numbers 06 Why Displayed TrustScore and Raw Average Are Different 07 How to Use the Trustpilot Score Calculator Before You Buy Reviews 08 Frequently Asked Questions

Google Review Score Calculator: How Many 5-Stars to Fix a Bad Rating?

2026-02-07 10 min read

See how a Google review score calculator estimates the 5-star reviews needed to recover a low rating, with formulas, real examples, and a 30/60/90 plan.

Trustpilot Score Calculator: Predict Your Rating Before Reviews

2026-02-08 10 min read

Use a Trustpilot score calculator to predict rating changes before launching review campaigns, with scenario planning, input rules, and common mistakes to avoid.

The Ultimate Review Rating Calculator Guide (Trustpilot, Google, G2 and More)

2026-02-06 12 min read

A complete guide to using a 5-star review calculator across Trustpilot, Google, G2, Yelp, TripAdvisor, and Google Play with formulas and target-setting strategy.

OrderBoosts helps brands improve review credibility across major platforms with pacing, planning, and delivery built for long-term trust.

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Reviews Place FAQ

How the Reviews Place peer-to-peer review request flow works on reviewers.place.

What is Reviews Place?: Reviews Place on reviewers.place is a peer-to-peer marketplace where businesses ask people to review their product on supported platforms, set a reward, and community reviewers publish the requested review text.
How does the peer-to-peer reviewer marketplace work?: Choose a supported platform, paste the exact review text you want posted, set the reward you will pay, and submit your request from that platform page. Community reviewers accept requests and leave your requested text as a review under your product.
Can I paste the exact review text I want written?: Yes. Add the precise review copy you want published. You can generate it with any LLM, edit it, and paste the final text into your platform request before setting the reward.
How do rewards work?: You decide what you are willing to pay for each review when you submit a request. Community reviewers see the reward on the platform page and publish your requested review text on the chosen platform.
Where do I choose the platform?: Browse the supported platform catalog on the homepage or open a platform page directly. Each platform page is dedicated to the review site where you need social proof.
Where are the review request forms?: Homepage platform cards only link to platform pages and do not include forms. Submit your review request from the platform or service page using the review request form in the page sidebar or CTA block.