1. Overview
Every vendor receives a TrustScore from 0 to 100, computed from three components plus a volume bonus:
(vendor reviews ÷ total reviews) × 10.
The final formula is:
+ Refurb Transparency (0–20)
+ Operations & Legitimacy (0–20)
+ Volume Bonus (0–10)
= 0 to 100
2. Bayesian Rating Adjustment
Raw star ratings are not used directly. Instead, each rating is Bayesian-adjusted to correct for sample size bias — the same technique used by Amazon product rankings, IMDb movie scores, and Netflix recommendations.
The problem with raw ratings
A vendor with 4.9★ from 12 reviews and a vendor with 4.7★ from 97,000 reviews cannot be fairly compared using raw stars alone. The small-sample rating is statistically unreliable — it could easily be 4.2★ or 5.0★ with more data. The large-sample rating is close to ground truth.
The Bayesian formula
Where:
n = number of reviews for this vendor
raw_rating = observed star rating (e.g. 4.8)
K = 5,000 (prior weight — equivalent "virtual" reviews)
prior = 3.5★ (market mean — neutral starting point)
Worked example: Reebelo vs OzMobiles
This is why Reebelo ranks #1 despite OzMobiles having a higher raw Trustpilot rating:
| Step | OzMobiles | Reebelo AU |
|---|---|---|
| Raw Trustpilot ★ | 4.8 | 4.7 |
| Review volume | ~20,000 | ~97,000 |
| Bayesian TP adjustment (n × rating + 5000 × 3.5) ÷ (n + 5000) |
(20,000×4.8 + 5,000×3.5) ÷ 25,000 = 4.54★ |
(97,000×4.7 + 5,000×3.5) ÷ 102,000 = 4.64★ |
| Raw ProductReview ★ | 4.5 | 4.5 |
| Bayesian PR adjustment | 4.30★ | 4.45★ |
| Weighted avg (TP×2 + PR×1) ÷ 3 |
(4.54×2 + 4.30) ÷ 3 = 4.46★ |
(4.64×2 + 4.45) ÷ 3 = 4.58★ |
| Review score (÷5 × 60) | 53.5 / 60 | 54.9 / 60 |
| Transparency + Ops | 18 + 18 = 36 | 17 + 17 = 34 |
| Volume bonus | +1.0 | +5.0 |
| Final TrustScore | 90.5 → 91 / 100 | 93.9 → 94 / 100 🥇 |
Reebelo's 4.7★ from 97,000 reviews is statistically more reliable than OzMobiles' 4.8★ from 20,000 reviews. After Bayesian adjustment, Reebelo's effective rating is actually higher, making it the rightful #1 ranked vendor.
3. Component Detail
Review Aggregate (max 60 pts)
We combine Trustpilot and ProductReview.com.au star ratings using a weighted average, with Trustpilot carrying 2× the weight per review (reflecting its stronger fraud-detection and verification processes). The minimum sample threshold is 20 reviews per platform — smaller samples receive a warning flag.
Review Score = (Weighted avg ÷ 5) × 60
If only one platform has data, that platform's Bayesian-adjusted score is used directly for all 60 points.
Refurb Transparency (max 20 pts)
We assess how clearly the vendor communicates refurbishment quality to buyers:
Battery health disclosure: 0–4 pts
Warranty terms (length + coverage): 0–4 pts
Returns policy (timeframe + conditions): 0–4 pts
Refurb process transparency: 0–2 pts
Operations & Legitimacy (max 20 pts)
We verify that the vendor is a genuine, operating Australian business:
Australian physical operations: 0–5 pts
Published contact (phone/email/address): 0–4 pts
Years in continuous operation: 0–3 pts
Active social & support channels: 0–2 pts
Volume Bonus (up to +10 pts)
Review volume is a signal of sustained customer engagement. Vendors with larger verified review counts receive a proportional bonus:
Example: Reebelo has 97,000 reviews, so 97,000 ÷ 194,000 × 10 = +5.0 pts. The total review pool updates as new vendors are added.
4. Sentiment Bands
Final TrustScores are grouped into four tiers:
5. Data Sources
6. Important Notes
Key change from v5: Star ratings now Bayesian-adjusted using K=5,000 virtual reviews and a 3.5★ market prior, replacing the raw-rating approach. This corrects for sample-size bias and aligns with industry-standard methods used by Amazon, IMDb and Netflix.
Score recomputed: