Definition

Event analytics is the systematic collection and analysis of data generated before, during and after an event to measure its effectiveness. It differs from simple attendance reporting because it covers the attendee's entire customer journey.

Details and formula

Key metrics by phase:

  • Pre-event: landing traffic, form conversion, cost per registration, acquisition sources
  • During: real-time attendance, no-show rate, session dwell time, Q&A/quiz engagement, networking activated
  • Post-event: on-demand recording views, follow-up conversion, NPS, event ROI

Context and typical ranges

For corporate B2B events, the most strategic analytics are those linking the event to the sales pipeline: how many qualified leads it generated, how many post-event meetings, how many opportunities opened in the following 90 days. The event stops being a cost and becomes a measurable channel.

How it applies in OAK EVENTS

OAK EVENTS produces unified analytics across the whole customer journey: live dashboard during the event, structured PDF reports for stakeholders post-event, raw CSV export for custom analysis, CRM integration (HubSpot, Salesforce) for lead-to-revenue attribution.

Want to see event analytics in action?

With OAK EVENTS it's a native platform feature: book a demo and we'll show it to you on a real event.

Book a demo →