Videos
Disney + Steven Golus - 2026 Training Outline
📺 CTV Essentials
This five-session course is designed to build fluency in the Connected TV (CTV) landscape and enhance cross-functional collaboration. Participants will gain the knowledge and confidence to better understand, package, and position CTV opportunities in support of broader business and marketing objectives.
  • Format & Schedule: Five weekly sessions held over consecutive weeks, each lasting 75 minutes.
  • Participants: Up to 35 participants per cohort
  • Instructor Access: Participants will have full access to my schedule throughout the course. I’m available for 1:1 or small group follow-ups to reinforce concepts, answer questions, or apply lessons to real client scenarios.
  • Interactive & Engaging: Sessions use whiteboarding, role-playing, and Socratic questioning to promote active learning and critical thinking.
  • Post-Session Summaries: Each session is accompanied by a written recap with frameworks, terminology, and key takeaways for easy internal sharing.
  • Weekly Knowledge Checks: Short quizzes after each session ensure retention and keep learning on track.
📘 Session 1: The CTV Ecosystem
Objective: Provide a strategic overview of how Connected TV works—from platforms to viewer behavior—and what it means for media brands and advertisers operating in the streaming landscape.
Topics Covered:
  • What is CTV? Understanding how linear TV evolved into app-based, digital video experiences.
  • Key Players in the Ecosystem: Smart TVs, streaming devices (e.g., Roku, Fire TV, Samsung), operating systems, and app stores.
  • Business Models (AVOD, SVOD, FAST, TVOD): How monetization models impact advertising opportunities and client alignment.
  • CTV vs. Traditional TV: Differences in measurement, targeting, and campaign flexibility.
  • How Media Brands Fit In: The role of content owners, distributors, and publishers in the CTV environment.

📊 Session 2: Tracking, Data, and Measurement in CTV
Objective: Demystify how data flows in the CTV environment and how it supports client KPIs—from brand awareness to performance marketing outcomes.
Topics Covered:
  • Tracking Viewership: ACR technology, device-level data, and login-based environments.
  • Identity & Targeting: How advertisers reach households, demo segments, or behavioral audiences.
  • Data Partnerships: Clean rooms, ID graphs, and collaboration with third-party data providers to enable audience-based buying.
  • Measurement Tactics: Impression tracking, brand lift studies, attribution models, and outcome reporting.
  • Application in Media Planning: How data capabilities inform smarter audience targeting and campaign recommendations.

🎯 Session 3: Ad Serving in CTV
Objective: Explain how ads are delivered within CTV content and what marketers need to understand to build effective campaigns.
Topics Covered:
  • Ad Delivery Mechanisms: Server-side ad insertion (SSAI), client-side insertion, and dynamic decisioning.
  • Ad Break Structure: Pre-rolls, mid-rolls, post-rolls, and binge-friendly formats.
  • Platform Nuances: Differences across Roku, Samsung, Apple TV, and other CTV platforms.
  • Latency & UX: How technical delivery affects ad visibility and viewer experience.
  • Creative Specifications: File types, creative formats, and compatibility across endpoints.

🤖 Session 4: Programmatic Media in CTV
Objective: Build fluency in how CTV inventory is transacted—both through direct and programmatic means—and what buyers prioritize in each model.
Topics Covered:
  • How Programmatic Works in CTV: Core definitions (DSPs, SSPs, PMPs, PG) and transaction workflows.
  • Buying Methods: Direct IOs, programmatic guaranteed, and private marketplace deals.
  • Buyer Expectations: Transparency, efficiency, audience scale, contextual alignment, and brand safety.
  • Preparing for Client Conversations: Anticipating questions about measurement, targeting layers, and competitive separation.

🛍️ Session 5: Retail and Commerce Media in CTV
Objective: Explore how creative innovation and commerce goals intersect in CTV—and how media companies can develop high-value, performance-driven offerings.
Topics Covered:
  • Innovative Creative Formats: Pause ads, QR codes, overlays, binge ads, interactive and shoppable units.
  • Integrated Storytelling: Using sequential messaging and contextual placement to build brand love and engagement.
  • Commerce & Shopper Media Integration: When clients bring retail or commerce goals to CTV, and how media sellers can respond.
  • Closed-Loop Attribution: Connecting CTV exposure to measurable outcomes and ROI.
  • Creative Best Practices: What formats perform best in CTV and how to advise clients during campaign development.
🤖 The AI Powered Seller
This four-session course is designed to help sellers build fluency with AI and apply it directly to their day-to-day work. Participants will learn how to prompt effectively, work faster on live deals, and leave with repeatable AI systems that improve over time.
  • Format & Schedule: Four weekly sessions held over consecutive weeks, each lasting 60 minutes.
  • Participants: Up to 25 participants per cohort
  • Instructor Access: Participants will have full access to my schedule throughout the course. Available for 1:1 or small group follow-ups to reinforce concepts and apply lessons to real deals.
  • Interactive & Engaging: Sessions use live prompting exercises, real account work, and hands-on workflow building.
  • Post-Session Summaries: Each session is accompanied by a written recap with frameworks, prompts, and key takeaways for easy reference.
  • Weekly Knowledge Checks: Short exercises after each session ensure retention and keep learning on track.
Session 1: Talk to AI Well
Objective: Master the R-C-T-F Prompting Framework so sellers can use AI like a research partner, not a search engine — and get faster, sharper, more usable output from day one.
Topics Covered:
  • Role — Set AI up to think like an expert in your buyer's world
  • Context — Feed it the right background so answers are actually relevant
  • Task — Ask for exactly what you need, not just a vague question
  • Format — Get output you can use immediately, not a wall of text
  • Prompt Practice: Build and test a reusable prompt template live during the session
Session 2: Apply It to Your Deals
Objective: Apply AI directly to live pipeline — building account briefs, gathering competitive intel, and pressure-testing proposals before the client does.
Topics Covered:
  • Account Briefs in 15 Minutes — Pull together everything you need to know about a prospect before a meeting, fast
  • Competitive Intelligence — Find out who's buying what, where budgets are moving, and how to position against the competition
  • Red-Team Your Proposal — Use AI to find the holes in your pitch before your client does
  • Live Deal Work: Participants apply each technique to a real account during the session
Session 3: Build Your Sales Workflows
Objective: Turn one-off prompts into repeatable weekly workflows by chaining AI tools together into three sequences sellers will actually run every week.
Topics Covered:
  • Monday Account Intelligence Brief — Start every week knowing exactly where your accounts stand, what's changed, and where to focus
  • Proposal Pipeline — Go from notes and a client brief to a polished deck in 30 minutes or less
  • Renewal Prep Model — Pull campaign performance data into a client story that makes the renewal conversation easy
  • Workflow Building: Participants configure and test each sequence live during the session
Session 4: Build Your Selling System
Objective: Put it all together — leaving with a fully configured personal AI selling system built around real accounts, the actual sales cycle, and a weekly rhythm that compounds over time.
Topics Covered:
  • Build Your Prompt Library — Organize your best prompts by use case so you can find and reuse them instantly
  • Map Your Tool Stack — Match the right AI tools to every stage of your sales cycle, from prospecting to renewal
  • Set Your Weekly Rhythm — Design a simple weekly routine that compounds your advantage over every rep who isn't using AI
  • System Setup: Participants leave with a working personal AI selling system configured during the session