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Event teams today face a familiar challenge. Stakeholder demand continues to grow, while capacity - people, time, and resources - does not. Traditional planning models often leave event teams reactive, overextended and stuck in short-term execution cycles.
However, a less traditional model could be the answer. By evaluating events based on complexity - across experiential elements, technology requirements and content development - event teams can create planning tools that make capacity transparent and actionable. This shift empowers event leaders to plan with confidence, prioritize strategically and engage stakeholders in meaningful trade‑off conversations.
So how can we translate event complexity into a clear capacity model? Which data should we leverage to sequence events across the year? And how can we create a more sustainable, scalable approach to event planning?
Join this ELX Think Tank, as member Ajith Krishnankutty, Head of experiential marketing at Capital Group, shares how they reimagined the events operating model by introducing a data-driven capacity framework, before we move into an open discussion on resourcing models for the business of events.
However, a less traditional model could be the answer. By evaluating events based on complexity - across experiential elements, technology requirements and content development - event teams can create planning tools that make capacity transparent and actionable. This shift empowers event leaders to plan with confidence, prioritize strategically and engage stakeholders in meaningful trade‑off conversations.
So how can we translate event complexity into a clear capacity model? Which data should we leverage to sequence events across the year? And how can we create a more sustainable, scalable approach to event planning?
Join this ELX Think Tank, as member Ajith Krishnankutty, Head of experiential marketing at Capital Group, shares how they reimagined the events operating model by introducing a data-driven capacity framework, before we move into an open discussion on resourcing models for the business of events.