Event Ticket Sales and Promotion Performance Audit
Audit ticket sales by date and channel against your target, find slow periods and promotion gaps, and plan the final weeks with the numbers.
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Please audit the sales performance of my event tickets and my promotion plan. I will provide sales numbers by date and channel, and I want a numerate, cautious analysis with no invented causes. Inputs: ticket target and capacity [TICKET_TARGET_AND_CAPACITY], price tiers [PRICE_TIERS], daily or weekly sales figures with channel if known [SALES_DATA], dates and descriptions of promotions and announcements [PROMOTION_DATES], the event date and today's date [EVENT_DATE_AND_TODAY], and any known events that might have affected sales [OUTSIDE_FACTORS]. Produce: (1) a sales summary table with columns Period, Tickets sold, Revenue, Cumulative, Percent of target, Channel mix; (2) a pace calculation: tickets still needed, days remaining and tickets per day needed, showing the arithmetic, against the recent pace; (3) a timeline linking sales jumps or slumps to promotions, written as "coincides with" and never as proof; (4) an audit of the promotion plan: channels used, gaps longer than seven days, and message variety; (5) three scenarios (continue current pace, modest improvement, strong improvement) with projected totals; (6) a list of low-cost actions ranked by effort; (7) cautions about what the data cannot tell us. Guardrails: do not invent conversion rates, benchmarks or discounts. Discounts and refunds are my decision; mark any pricing or consumer-rule point [VERIFY]. Avoid pressure tactics such as false deadlines. Add a worked example with invented figures: target 200, sold 120, 25 days left. Show 80 tickets still needed and 3.2 per day against a recent pace of 2.1 per day.
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