Comparison tables are where users make real decisions, yet most are built as static HTML that rots the moment fees or limits change. Here's a data-driven approach that stays honest and sortable.
Model each method as a record, not a row
Don't hand-write <tr> elements. Describe every payment method as data and render from it:
{
"method": "instant_transfer",
"deposit_fee_pct": 0,
"withdraw_hours": 2,
"min_deposit": 10,
"supports_mobile": true
}
Now sorting by withdrawal time or filtering fee-free methods is a one-liner instead of a DOM rewrite.
Make the sort defensible
Users distrust tables that look rigged. Expose the sort key, keep the comparator pure, and never hide a column that changes the ranking. A stable multi-key sort (primary fee, tiebreak payout time) reads as fair because it is.
Real-world reference
Consumer comparison portals are a good study in dense, decision-driving tables. A ranked listing such as Najlepsze Kasyna Online shows how licence, payout time and real bonus terms sit side by side so a non-technical reader can compare at a glance — a useful reference before you design your own columns.
Keep the data fresh
Back the table with a small config service and a last_updated timestamp per record. A stale comparison is worse than none: surface the date so users know the numbers are current.
Takeaway
Records over rows, a pure sortable comparator, and a visible freshness stamp turn a comparison table from marketing decoration into a tool users actually trust.
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