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Tracking Performance: Analyzing Brand & Event Analytics

Learn how to track live ticket sales velocity, filter conversion rates, monitor traffic spikes, and navigate your real-time performance metrics on Posh.

Accessing Your Analytics Dashboards

Viewing Organization-Level Analytics

  1. Log in to your Posh account.

  2. Verify your active workspace profile name at the top of the page. (Click the dropdown arrow next to the organization name to switch profiles if needed).

  3. Click Analytics from the top navigation menu to track unified brand performance across all your events.

Viewing Event-Level Analytics

  1. Log in to your Posh account and select the specific event you want to review from your manager list.

  2. Click the Analytics tab inside that specific event dashboard.

  3. Use this view to monitor single-production ticket trends, localized conversion tracking, traffic sources, and attendee insights.

Key Performance Metrics

Financial, Traffic, and Discovery Indicators

  • Total Revenue: Overall gross earnings accumulated across your organization to measure business growth.

  • Ticket Revenue: Revenue generated exclusively from base ticket sales.

  • Custom Fee Revenue: Monies collected from custom organization-level fees, separating baseline sales from extra add-ons for clean bookkeeping.

  • Total Event Page Visits: Cumulative page view volume used to gauge promotional traffic and audience interest.

  • Posh Explore Revenue & Orders: Tracked revenue and specific purchase loops driven strictly by organic app discovery features.

  • Average Tickets Sold Per Day: Running daily average calculation showing current sales velocity and market momentum.

  • Conversion Rate: The percentage of total event page visitors who successfully finalize a ticket checkout.


Dashboard Charts, Filters, and Monitoring

Visual Timelines and Pacing Controls

The analytics interface populates visual, interactive trend charts tracking sold counts, net revenue, total sales, average order value, and Posh Explore performance metrics. Refine these data feeds using two primary dashboard filters:

  • Time Filter: Restricts the analytics evaluation window to a custom date range or all-time historical charts.

  • Breakdown Filter: Aggregates and groups data views chronologically.

💡 Pacing Tip: Use daily breakdowns for real-time campaign tracking, weekly views for sales velocity pacing, and monthly views for long-term strategic analysis.

Operational Best Practices

Utilize your data dashboards regularly to monitor dynamic ticket scans during check-in, review ticket tier pacing, and evaluate remaining ticket inventory. Click the Data Export options at any point to generate downloadable CSV spreadsheets for external reporting or account reconciliation.

💡 Proactive Tracking Tip: Audit your Analytics workspace immediately before and after launching major event updates—such as opening ticket drops, altering price points, deployment of SMS text blasts, social media drops, or talent lineup reveals—to isolate exactly which promotional action triggers the strongest conversion spikes.

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