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Demand Generation Manager

Plan and execute webinars and virtual events for lead generation

Enhances✓ Available Now

What You Do Today

Select topics, recruit speakers, promote registration, produce the event, follow up for conversion

AI That Applies

AI suggests topics from audience interest data, automates promotion, personalizes follow-up based on attendance behavior

Technologies

How It Works

The system ingests audience interest data as its primary data source. The recommendation engine scores each option against the user's profile — behavioral history, stated preferences, and contextual signals — ranking them by predicted relevance. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria.

What Changes

Topic selection is data-driven. Follow-up is personalized based on what each attendee engaged with

What Stays

Creative event concepts, speaker selection and coaching, making events worth attending

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for plan and execute webinars and virtual events for lead generation, understand your current state.

Map your current process: Document how plan and execute webinars and virtual events for lead generation works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Creative event concepts, speaker selection and coaching, making events worth attending. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Event AI tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long plan and execute webinars and virtual events for lead generation takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your CMO or VP Marketing

What's our current capability gap in plan and execute webinars and virtual events for lead generation — and is it a people problem, a tools problem, or a process problem?

They set the AI investment priorities for marketing

your marketing automation admin

What's the biggest bottleneck in plan and execute webinars and virtual events for lead generation today — and would AI address the bottleneck or just speed up something that's already fast enough?

They know what capabilities exist in your current stack that you're not using

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.