Our criteria for comparing ticketing platforms
To compare ticketing platforms on a common basis, we apply an identical set of criteria to each player. Each criterion is scored out of 5, then weighted to produce a platform's overall score. This page explains our scoring method and gives access to the detail of each criterion. Our ratings are qualitative: we compare levels and scores, never invented euro amounts.
The criteria in detail
Each page explains what we measure and how we assign the scores.
Ticketing fees
The level and readability of the service fees added to the face price, and the visibility of the total before payment.
Country coverage
Geographic reach across Europe: number of markets covered and relevance for cross-border purchases.
Languages
Number of interface languages and the quality of the localisation depending on the markets covered.
How we score
Each platform is assessed against the same framework. For each criterion, we assign a score out of 5 based on observable elements: visibility of the total to pay, breadth of coverage, available languages, ticket-delivery channels, clarity of the buying journey and quality of the service. We also translate these scores into scores out of 100 in the bars on each profile, for a quick read. A platform's overall score is a weighted summary of these criteria.
Weighting grid
| Criterion | What we measure | Weighting |
|---|---|---|
| Fees | Level and readability of fees, visibility of the total before payment | High |
| Country coverage | Number of European markets covered | Medium |
| Languages | Interface languages and quality of the localisation | Medium |
| Ticket delivery | Delivery channels (e-ticket, mobile, pickup) and reliability | High |
| Buying journey | Clarity, steps, no surprise before payment | Medium |
| Service & support | Help centre, contact, response times | Low |
Indicative weightings. They steer the overall score without reducing it to a single criterion.
Why a data-driven approach
Online ticketing is hard to compare because fees, languages and conditions change from one site and one country to the next. By applying the same framework to each platform and expressing the results as scores, we make comparisons reproducible and neutral. We deliberately avoid showing euro amounts, which depend on each event and would give a false impression of precision.