Lightning Jeopardy was the rapid-fire, game-show-style round of our AI game show for event marketers.
Instead of the traditional question-and-answer format, the session used a Jeopardy-style board to move through 5 event use cases and categories via quick prompts.
Featuring insights from Alex Adkins, Nida Ateeq, Austin Sandmeyer, and Stephanie Christensen.
AI for lead enrichment
Teams are using AI to make post-event leads more actionable for sales. One tip was to pair enriched lead context with an engagement score so you can answer, “Where are they in the buy cycle?” and automatically prioritize follow-ups.
They also stressed starting with the right segments first, so reps don’t drown in a long list of leads. They recommend using AI-driven enrichment to personalize outreach with the right resources (not always a demo ask), since event leads are often already warm.
AI for field and sales enablement
AI should help field and sales teams act at the right moment, not just collect more data. They shared how AI can identify high-intent signals (such as target accounts registering, attending, or engaging) and trigger timely, personalized follow-ups.
Another theme was the shift from “more leads” to better-qualified conversations, where reps get the right context upfront. They recommend using intent and fit signals to prioritize the next best action, and tracking which touches actually drive engagement and closed-won outcomes so teams can double down on what works.
AI for personalization and promotion
Here, the speakers unpacked how to personalize with AI without crossing the line. They suggest starting with signals you already own, such as past event interactions, your ICP, or account context, then tailoring outreach and booth conversations from there.
They also emphasized privacy guardrails: using opt-in data, complying with regional rules such as GDPR, adding a human review step, and avoiding “surprise” personalization that feels intrusive.
AI for career growth
For career growth, treat AI like a force multiplier, not a magic wand. The pros use it to move faster on high-volume work: onboarding docs, training playbooks, email drafts, and first-pass research.
They also rely on it for high-leverage moments, such as extracting insights from messy data, building quick analyses, or pressure-testing angles before a campaign goes live. Their advice: frame the problem clearly, give real context, and verify outputs with other sources or a second model.
AI for post-event engagement and success
For post-event, the speakers focused on using AI to consolidate scattered signals into a single, clear view of attendee behavior, so you can stop guessing what “engaged” really means.
They also discussed using AI for prediction and planning: identifying which event types tend to produce pipeline and using that to guide where you spend budget and effort next.
Overall, it was a highly practical session for event marketers looking to integrate AI into day-to-day execution. Watch the full session for real tips, plus the wins and misses the speakers encountered along the way.