Split your capacity across Early Bird, GA and VIP tiers for maximum gross revenue.
Pick a structure. We\'ll suggest allocation and price per tier. Override any cell.
Total allocated: —
A three-tier Early Bird / GA / VIP structure with roughly 25% / 60% / 15% allocation and prices at 0.80× / 1.00× / 2.25× the GA anchor is the standard answer for most concerts, festivals and comparable paid events. Holding back 10–20% of the Early Bird to re-release as a "last chance" tier later generates a second scarcity moment without adding a fourth tier.
A ticket tier is a price-discrimination mechanism, not a product variant. The market for your event contains buyers with different willingness-to-pay. A single GA price either leaves money on the table (from the buyers who would pay more) or prices out buyers at the low end. Tiers capture both ends of the curve: the $40 buyer pays $40, the $100 buyer pays $100, and neither feels short-changed.
The Early Bird isn\'t a discount — it\'s a different product (a ticket that guarantees entry early, for a buyer who values certainty). The VIP isn\'t an upsell — it\'s a different product (a ticket bundled with tangible extras, for a buyer who values experience). Pricing each tier as though it\'s simply GA-with-a-percentage-change ignores what the tier is actually for.
Simplest structure. Works for club events, single-night shows, and events where the audience either has no VIP appetite or there\'s no physical space to deliver a premium product.
Standard for concerts, mid-size festivals, conferences, and most professional live events. Covers the demand curve properly without overwhelming buyers with choices.
Only add a fourth tier when there\'s a genuinely scarce extra — artist meet-and-greet, backstage tour, private viewing box. Four-tier structures without scarcity dilute each tier and confuse buyers.
Every tier is at the same product level (GA), but the price increases as each tier sells through. Works for events where buyer-side price-discrimination is harder (all-standing festivals, one-product events) but you still want a "tickets are selling" narrative to drive urgency.
Capacity 1,500; GA anchor $60; Early Bird + GA + VIP structure. Fixed costs (venue, artist, production, marketing): $45,000.
At 80% sell-through: gross ≈ $81,900. At 60%: gross ≈ $61,400 — still above break-even. The tier structure has added ~$17,000 of gross versus a flat 1,500 × $60 at 100% ($90,000), purely from capturing the VIP end of the demand curve.
The tiers in the allocation are one decision; when each one unlocks is a separate one. Two common approaches:
Experienced operators blend the two: set a date floor (tier two no later than T-30) with a sell-through accelerator (tier two opens earlier if tier one hits 80%). Ticket Fairy supports both trigger types natively.
Once you have allocations and prices, your break-even stops being "I need to sell 700 of 1,000 tickets" and becomes "I need gross revenue of $X." The tool divides your fixed costs by the weighted average ticket price to compute the minimum tickets to sell — regardless of tier mix. Variance in the actual mix (selling more GA and less VIP) moves the real break-even up or down by 5–15%, so treat the number as a target with a margin of safety.
It assumes a simple downward-sloping demand curve: lots of people will pay Early Bird, fewer will pay GA, fewer still will pay VIP. It finds the split that maximises expected gross revenue given your capacity and your target attendance.
Not always. Holding back 10-20% of the Early Bird allocation to re-release as a "last chance" tier later is a common move — it creates a second scarcity moment. Treat the tool's allocation as the total for the tier across all releases.
Beyond four named tiers, buyers stop parsing the difference. Early Bird → GA → VIP covers 90% of cases. Add a fourth only when there's a genuine inventory reason (e.g. Super VIP with a unique inclusion).
Not on this page. Ticket Fairy's Intelligence tier does this with your own event history — the public tool uses benchmarks aligned with typical demand curves.
Reviewed and updated April 2026 by the Ticket Fairy events data team. Benchmarks in this tool are directional — for real-time analytics against your own event history, use Ticket Fairy Intelligence.
Ticket Fairy powers ticketing, marketing and analytics for thousands of events worldwide. The tool above is a taste — the real advantage kicks in when benchmarks run against your own live event.
