Agents in the Mix: How the very best marketing teams operate
The marketing org chart got a little weird (in a good way), and here's where you get to see what good looks like in practice.
You’ll learn:
- How to get more, high-quality output (and less of the revision tax)
- Which AI agents are actually worth building into your workflow
- Where AI can benefit every single team in your marketing department
Jun
9
9. Juni 2026
Online Event
Präsentiert von:
Event highlights
- Do more of the work that actually matters: Agents handle the repetitive and time-consuming tasks so your team can focus on the good stuff
- Better output, not just more of it: Speed without quality is just noise – see how teams are raising the bar on what they ship, not just how fast they ship it
- Walk away with a plan, not just inspiration: Every session is built around what you can start doing next week (not what might be possible in five years)
- Meet the marketers already doing it: Practitioners who’ve added agents to the mix and are seeing the difference in their results, campaigns, and day-to-day
Things have changed in marketing teams. While marketers are still running the show, agents are now in the briefing, behind the scenes, and handling the work that used to eat everyone’s week.
High-quality output, better campaigns, and a marketing department that can now really bring the magic.
Agents in the Mix is built for marketers actually doing the work; the ones creating, distributing, optimizing, analyzing, and operating. Every session comes with demos of real agents (no dev required), and real practitioners sharing what’s working right now.
Speaker
Laura Perez Riau
Senior Manager, Campaign Marketing, Optimizely
Phil Yates
Senior Director, Solution Architecture, Optimizely
Agenda
3:00 PM-3:20 PM
The AI adoption gap: An honest take from a marketing leader
Everyone’s talking about AI transformation, but not many are talking about why most of it isn’t working yet. Tara Corey, SVP Marketing at Optimizely, opens with a clear-eyed look at where marketing teams are actually stuck – and what’s separating the teams making progress from the ones still in pilot mode.
3:20 PM-3:40 PM
Create: From brief to brilliance (without the revision tax)
Cool, you generated content. Now what? Leah and Laura walk through what it takes to go from AI output to something that's actually worth shipping — covering content creation and ABM at scale, and the agents that cut the revision cycle without cutting corners on quality.
Laura Perez Riau
3:20 PM-3:40 PM
Distribute: Create once, make it relevant everywhere
Most teams treat distribution as the last step. Ali shows why that's where the real production time actually goes — and what changes when agents handle it. A content adaptation agent, page creation agent, social promotion, email creation, and a GA4 reporting loop: one brief, every channel, same-day.
3:20 PM-3:40 PM
Optimize: From gut feel to full experimentation lifecycle
Phil walks through the end-to-end testing journey — from an opportunity mining agent that surfaces ideas from Salesforce, GA4, and your data warehouse, to automated backlog prioritization, a variation builder that writes the code from a prompt, and results analysis that generates the report for you. What a proper experimentation workflow looks like when agents are handling the heavy lifting.
Phil Yates
3:20 PM-3:40 PM
Analyze: Making data a part of everyone’s day-to-day
AI agents are already visiting your site — crawling pages, pulling content, making decisions on behalf of real users — and none of it is showing up in GA4. Cesco walks through Agent Visibility Analytics: what AI agents are actually doing on your site, which pages are gaining or losing AI visibility, and how to go from insight to action without a developer, a ticket, or a context switch.
3:20 PM-3:40 PM
Adopt: From exploring to executing (finally)
Julia on the last mile — the part where AI either gets embedded into how your team works, or quietly gets abandoned. Covering the workshop framework for identifying the right use cases (not the shiny ones, the ones your team will actually use), human-in-the-loop workflow design, and how to measure adoption once agents are live.
3:40 PM-4:00 PM
Limitless 1:1 personalization at scale (and the proof that it’s working)
Michiel demos the ABM program behind 8,000 personalized landing pages — each one pulling from Salesforce, LinkedIn, 6sense, and Optimizely's own content to build an account-specific pitch that made prospects ask "wait, how did you know that?" How the agent was built, how it runs autonomously on a schedule, and how a human review loop keeps quality high at scale.