Shift event ROI measurement from lead counts to "revenue in the room," a metric combining potential prospect revenue with the retention revenue of existing customers attending. This provides a more holistic view of an event's business impact, including crucial customer engagement and advocacy.
In the AI era, shift from silos like 'Demand Gen' to cross-functional pods focused on outcomes like 'Brand Relationship' or 'Product Delight.' This model, inspired by product development, aligns teams to solve specific customer problems and better integrates AI agents directly into core workflows.
Structure event planning by defining what you want attendees to think, feel, and do before, during, and after the event. This framework, applied per persona, ensures every activity is aligned with specific, measurable outcomes, from initial promotion to post-event follow-up.
For roundtable discussions, pre-assign seating based on attendees' self-assessed experience (e.g., novice, expert). This tactic ensures conversations are relevant for everyone, preventing experts from being bored and novices from feeling intimidated, dramatically improving the quality of peer-to-peer engagement.
Giving event staff the week off immediately after an event is a strategic error. The first 48 hours are critical for follow-up. Leads should be distributed the same night to ensure timely outreach while attendee engagement is at its peak. Schedule team recovery time after this crucial window.
G2's research shows a dramatic acceleration in AI adoption for B2B purchasing. The percentage of buyers starting their journey with an LLM surged from 29% to 50% in just four months. This signals a fundamental, non-negotiable shift in buyer behavior that marketing strategies must immediately address.
The rapid pace of AI makes traditional, static marketing playbooks obsolete. Leaders should instead foster a culture of agile testing and iteration. This requires shifting budget from a 70-20-10 model (core-emerging-experimental) to something like 60-20-20 to fund a higher velocity of experimentation.
Instead of gating its valuable review data like traditional analyst firms, G2 strategically chose to syndicate it and make it available to LLMs. This ensures G2 remains a trusted, cited source within AI-generated answers, maintaining brand influence and relevance where buyers are now making decisions.