Analytics & Optimization

    Understanding Analytics

    Data-driven decisions lead to better events. Eventix provides comprehensive analytics across sales, check-ins, advertising, and attendee engagement — all accessible from your dashboard.

    1

    View sales analytics

    Your organizer dashboard shows charts for ticket sales over time, daily revenue trends, and sales velocity. Identify patterns like weekend spikes, payday boosts, or the impact of marketing pushes.

    2

    Compare ticket types

    See which ticket tiers sell fastest, which have the highest revenue contribution, and which still have significant remaining inventory. Use this to time tier releases and adjust quantities.

    3

    Track advertising performance

    If you're running campaigns, the advertising dashboard shows impressions, clicks, click-through rate (CTR), cost per click, and conversion metrics. Compare ROI across different campaign types and packages.

    4

    Check-in analytics

    Post-event, review check-in rates by ticket type. Compare tickets sold vs. actually scanned to understand your no-show rate — a critical metric for venue capacity planning.

    5

    Revenue breakdown

    Drill into your Earnings page for a complete financial picture: gross revenue, commission, net earnings, Split payment progress, affiliate payouts, and BarFlow revenue — all in one view.

    6

    Apply learnings

    Use data from past events to optimize: adjust pricing based on demand curves, choose dates based on sales velocity, and double down on the marketing channels that drove the highest conversions.

    Pro Tips

    • Compare analytics across multiple events to identify your best-performing event format, pricing, and timing.
    • If a ticket type sells out within 48 hours, consider adding more inventory or creating a higher-priced tier next time.
    • Check-in rate below 70%? Consider tighter no-show policies or cash deposit requirements for future events.
    • Export your analytics data for deeper analysis in spreadsheets or BI tools.

    Need more help?

    Check out other guides or contact support.