Chris explains how leading marketing teams are deploying swarms of AI agents to automate campaign workflows with speed and precision. By assigning agents to tasks like segmentation, testing, and feedback collection, marketers build fast-moving loops that adapt in real time. More
Tag Archives: AI and Automation
176: Rajeev Nair: Causal AI and a unified measurement framework
Rajeev believes measurement only works when it’s unified or multi-modal, a stack that blends multi-touch attribution, incrementality, media mix modeling and causal AI, each used for the decision it fits. At Lifesight, that means using causal machine learning to surface hidden experiments in messy historical data and designing geo tests that reveal what actually drives lift. Attribution alone can’t tell you what changed outcomes.More
174: Joshua Kanter: A 4-time CMO on the case against data democratization
Joshua spent the earliest parts of his career buried in SQL, only to watch companies hand out dashboards and call it strategy. Teams skim charts to confirm hunches while ignoring what the data actually says. He believes access means nothing without translation. You need people who can turn vague business prompts into clear, interpretable answers.More
172: Ankur Kothari: A practical guide on implementing AI to improve retention and activation through personalization
Ankur explains how most AI personalization flops cause teams ignore the basics. He helped a brand recover millions just by making the customer journey actually make sense, not by faking it with names in emails. It’s all about fixing broken flows first, using real behavior, and keeping things human even when it’s automated.More
171: Kim Hacker: Reframing tool FOMO, making AI face real work and catching up on AI skills
Tool audits miss the mess. If you’re trying to consolidate without talking to your team, you’re probably breaking workflows that were barely holding together. The best ops folks already know this: they’re in the room early, protecting momentum, not patching broken rollouts. Real adoption spreads through peer trust, not playbooks.More
170: Keith Jones: OpenAI’s Head of GTM systems on buying martech with cognitive extraction and ghost stories
The best martech buying process isn’t a spreadsheet. It’s a cognitive extraction exercise.
Keith Jones asks stakeholders to write what they want, say it out loud, and then feeds both into GPT to surface what actually matters. That discipline applies to agents too. Most teams chase orchestration before they have stable logic, clean data, or working workflows. More
168: AI’s talent crunch: Marketing jobs on the brink and those set to thrive
At risk are campaign operators, generic content creators, and report-pulling analysts. Set to thrive are resident AI implementation experts who select worthy tools, data orchestrators connecting proprietary data to AI, product/customer marketers with genuine empathy, ethics guardians preventing bias issues, and localization specialists understanding cultural nuances.More
163: Danielle Balestra: Building AI and martech stacks inside regulated enterprise is more rewarding than startups
Beyond all that regulatory red tape and the perception of inertia, martech in regulated enterprise can be a ton of fun and provide the balance that tech startups just can’t. Vendor selection, proof of concepts, team structures… everything takes a unique form that requires you to become an internal business consultant, despite being a FT employee. More
162: Rich Waldron: How to build and manage AI agents from a single, composable platform without coding
Marketing ops folks stand at a crossroads where iPaaS platforms and AI agents are colliding in crazy ways. Rich pulls back the curtain on what happens when workflows become agent “skills”: Imagine your carefully built automations transformed into autonomous assistants that diagnose tech issues, provision applications, and manage complex Salesforce campaigns without manual intervention. More
159: Ana Mourão: Privacy-first data literacy and modernizing legacy martech at a global enterprise with data templates and POCs
Ana created the Experimental Marketer framework to help marketers have a more strategic view (and be more hands-on) with martech and become better allies in using and realizing martech value. She takes us on an adventure through a big martech transformation project with a global enterprise and how she applied that framework to help them scale.More