DigiMarCon Canada 2026 Content Vault

The promise of AI in content marketing isn’t about replacing human creativity — it’s about amplifying it. In this keynote, Andrew Jenkins, CEO of Volterra Digital and author of Social Media Marketing for Business, draws on nearly two decades of agency experience and hands-on work with tools like Claude, ChatGPT, and emerging AI platforms to show how marketing teams can scale content production without sacrificing quality or brand voice. From streamlining research and competitive analysis to building repeatable workflows that turn one idea into dozens of assets, Andrew shares practical frameworks that agencies and in-house teams can implement immediately. Whether you’re a two-person shop or an enterprise marketing department, you’ll leave with a clear roadmap for integrating AI into your content operations — and the confidence to know where human judgment still matters most.
1. AI as a force multiplier, not a replacement: How to pair AI tools with human expertise to produce higher-quality content at greater volume.
2. Building repeatable AI-powered workflows: A step-by-step approach to creating systems that scale content from ideation through distribution.
3. Maintaining brand voice and quality at scale: Practical techniques for using AI without sounding generic or losing what makes your brand distinct.
4. Choosing the right tools for the right tasks: Where tools like Claude, ChatGPT, and others each excel across the content lifecycle.
5. Measuring what matters: How to evaluate whether AI integration is actually improving your content marketing ROI, not just your output volume.

The MasterClass is centered on the idea that enterprise AI projects often fail not because the technology is broken, but because the underlying information architecture is flawed. Speaker John Bush argues that when content is scattered across sources like CRMs, shared drives, and internal team knowledge, the AI is doomed to produce generic or confidently wrong answers—the “garbage in, garbage out” principle. The talk identifies this lack of structured, retrievable context as the true obstacle to successful AI implementation in B2B marketing and sales. Listeners will gain a clear understanding of the “context problem” and receive a practical framework for solving it.
1. Understanding Knowledge Bases – RAG: A non-technical explanation of Retrieval-Augmented Generation (RAG), framed as “onboarding for AI,” which allows models to retrieve specific, accurate answers grounded in a company’s own content.
2. The Practical Framework: A three-part framework for action: – Audit your content to map where knowledge lives. – Structure your content for AI retrieval, mentioning techniques like Answer Engine Optimization (AEO). – Connect this structured knowledge to key workflows, such as sales enablement and marketing execution.
3. Actionable Steps: Concrete actions to take immediately, such as mapping the top 20 most important documents and picking one use case (like sales objection handling) to build a working system. The session also details the real mistakes companies make—like buying an AI tool before building the content foundation—and what these errors cost in terms of time, money, and trust.

While the world debates AI ethics, Canada’s unique demographic reality has created a $2 trillion economic advantage that most digital stacks are failing to capture. In this session, marketing leader Joycelyn David exposes why “Standard” AI is a business liability for multicultural markets and how the $4.8 Trillion Blind Spot is a direct result of systemically biased data. We will go beyond the theory to dissect local and global case studies—from high-profile cultural marketing failures that cost millions in brand equity to the breakthrough Canadian campaigns that achieved 2x performance by honoring authentic cultural insights. This presentation introduces the Multicultural Quotient (MQ)—a new technical benchmark for measuring organizational cultural intelligence and its correlation to innovation revenue. Attendees will learn how to move from “Diversity Theater” to a “Cultural Data Imperative,” transforming their digital strategy from a monocultural experiment into a culturally intelligent engine that treats diversity as a high-performance data asset.
– The MQ Benchmark: A methodology to audit your marketing stack’s ‘Cultural Intelligence’ and identify hidden ROI in under-served markets.
– From Bias to Brilliance: How to identify ‘Culturally Blind AI’ in your workflow and replace biased data with inclusive models that spark innovation and brand growth.
– The Global Playbook: Real-world analysis of local and international case studies that demonstrate how to maintain brand consistency while allowing for deep cultural authenticity.
– The Innovation Roadmap: A strategic guide to using the ‘Canadian Advantage’ to lead global digital transformation and outpace competitors

Stop BRAGging Before You’re Ready! Most marketing campaigns fail at step one: companies jump straight to flashy promotions without doing the foundational work. No good picking up speed if you’re on the wrong road! In this energizing session, marketing strategist Derek Lackey reveals why your campaigns underperform and how to fix it. Learn the proven four-step framework that helped 7 of 9 client brands achieve #1 category positions in Canada: WRAP – Get crystal clear on the real problem you’re solving BAG – Build the right solution strategy 
TAG – Test and validate before you launch BRAG – Now (and only now!) tell the world With 30+ years of agency experience, Derek combines Dr. Min Basadur’s Applied Innovation Process with memorable “Derek-isms” to make complex strategy simple. Walk away with a practical roadmap to transform your marketing from forgettable to market-leading.
Main Concept: Stop jumping straight to advertising and promotion before you’ve done the foundational work The Four Steps (in order):
1. WRAP – Figure out the REAL problem you need to solve Most companies think they know their problem but they’re guessing If you solve the wrong problem, nothing else matters “No good picking up speed if you’re on the wrong road”
2. BAG – Create the right strategy and solution Now that you know the real problem, build something that actually fixes it This is about your product, service, or offer – not your marketing yet
3. TAG – Test it before you launch big Make sure it actually works in the real world Find out what’s broken while the stakes are still small Adjust based on what you learn
4. BRAG – Only NOW do you promote and advertise This is where most companies START (which is why they fail) When you’ve done WRAP, BAG, and TAG first, your marketing actually works Bottom Line: Foundation first, flash second. Do the hard thinking before you spend the marketing dollars.

AI is enabling marketing to lead the business. This session shows you how to adapt to that shift and how to use AI to get there first. AI commoditized building. 92% of developers use AI coding tools daily. 41% of all new code is AI-generated. The cost of building dropped 280 times in two years. But building only accounts for 30% of what makes a business succeed. The other 70%, knowing what to build, who it is for, and how to reach them, is distribution. Distribution is marketing. When the 30% becomes free, the 70% becomes everything. AI is making every function more powerful. Engineers ship faster. Product managers run experiments at scale. But when everyone can build, building is no longer the differentiator. The scarce resource is reaching people, earning their trust, and owning the channel to get to them. That is marketing’s domain. The competition for the top of the business hierarchy is playing out right now, and marketing has the structural advantage because distribution is the one moat AI cannot clone. From HubSpot in SaaS to Hims and Hers in healthcare to Liquid Death in consumer retail, the pattern is identical: build distribution first, build product second. 31% of S&P 500 companies have already restructured their CMO role to reflect this shift. This Master Class covers both sides. First, how to adapt as marketing takes the lead: what changes in your metrics, your team, and your relationship with product and engineering. Second, how to use AI to build distribution faster than was possible two years ago, from compressing campaign cycles to 48 hours, to cutting acquisition costs by up to 50%, to shipping products without an engineering ticket. You will leave with a playbook you can deploy this week, regardless of your industry or team size.
1. Walk out with a data-backed argument for why marketing should lead your organization’s growth strategy. The 30/70 framework gives you the language to make this case to a board, a CEO, a client, or your own team, whether you are starting the conversation or accelerating one already underway.
2. Know exactly which distribution channels to double down on and which to cut, using the compounding versus burning audit. Then learn how to use AI to build those channels faster: specific workflows for content, outreach, audience research, and prototyping that compress months into weeks, applied to your industry and team size.
3. Deploy your first AI-powered distribution workflow before the end of the week. Leave with a step-by-step playbook designed to work whether you are a solo founder, a team lead piloting inside an enterprise, an agency rolling it out for a client, or a marketer building your case for a larger AI investment.

For the last decade, we’ve been told to be “data-driven.” Dashboards multiplied, metrics became gospel, and decisions increasingly required proof to achieve trust. Somewhere along the way, creativity became about “being safe” and not about “being smart.” This talk challenges the assumption that data should always be the be-all-and-end-all of decision-making. While data is an incredible tool, it’s often being used to answer questions it was never meant to solve: What should we create? What will people care about next? What risks are worth taking? When we default to data for every decision, we unintentionally narrow the range of ideas we’re willing to explore. This session invites leaders, marketers, and builders to ask a different question: Is data actually the right answer to this problem? We’ll explore how to re-balance judgment, creativity, and experimentation, alongside practical ways teams can start doing bold, interesting, and meaningful work again without abandoning rigor or accountability.

The AI hype cycle has peaked. The pilots have been run. The prototypes tested. Yet many organizations are still asking the same question: where are the results? In this candid, forward-looking session, Mohit Rajhans reframes the conversation from experimentation to execution. Drawing on two decades in media and digital transformation, he examines what actually worked in 2025 — and why so many initiatives stalled.
Cross-industry lessons from media, enterprise, and regulated sectors. Executive-level insight into how leading organizations are structuring governance. A forward-looking lens on where AI investment is truly shifting beyond 2026.

Most companies are racing to adopt AI. Very few are asking the harder question: do your leaders know how to develop people alongside it? Technology scales fast… people don’t. This session aims to help marketing leaders understand the importance of change management, getting buy-in and setting expectations early so their big initiatives can cross the finish line.
1. Who needs to be in the room. How to identify the key people whose buy-in determines whether your initiative gains momentum or dies quietly.
2. How to manage the change. A practical framework for setting expectations, sequencing communication and leading your team through the messy middle of any big shift.
3. Why initiatives stall and how to prevent it. A clear understanding of where most leaders lose their people and what to do differently so your next big bet actually lands.

Many marketing teams are running AI blind. Tools no one mapped, workflows no one documented, personal subscriptions doing company work, and a literacy gap no one measured. The result? Duplicate spend, invisible risk, and creative energy that never compounds into competitive advantage. In this session, Susan Diaz – AI literacy consultant and author of the upcoming book ‘Swan Dive Backwards’ – walks you through a four-dimension audit framework you can start using even DURING the talk. You’ll leave with a fillable scorecard and the clarity to walk into Monday morning knowing exactly where your team stands.
1. How to identify shadow AI, duplicate spend, and governance gaps hiding inside your marketing team’s current tool stack – without turning it into a witch hunt
2. A four-dimension audit framework (Tools, Workflows, Adoption Patterns, Risk and Governance) for marketing teams of any size
3. A ready-to-use scorecard you can bring back to your team on Monday to move from “we think we know” to “we actually know”

Every digital marketer is dealing with the same paradox: AI gives us more output than ever, but results are not keeping pace. Campaign briefs balloon with AI-generated copy. Sales decks multiply without getting sharper. Dashboards overflow with metrics that confuse more than they clarify. The promise was efficiency. The reality is noise. In this keynote, go-to-market leader Ali draws on real-world experience building AI-powered outbound and funnel systems for B2B SaaS companies to make the case that the most valuable skill in marketing is no longer production. It is judgment. Through real campaign stories, striking data, and a live audience exercise, Ali walks attendees through three ideas that challenge the “more is better” mindset: why cheap generation creates confusion rather than clarity, why your value is shifting from what you produce to what you decide, and why the durable competitive moat is not your AI tools but your human observations. This is not an anti-AI talk. This is a pro-judgment talk that gives marketers a strategic filter for deciding which AI-powered tactics actually matter for their specific situation and which ones just add noise. Attendees will leave with a 48-hour self-audit they can run on their own deliverables, a framework for separating commodity work from irreplaceable work, and a new way to articulate their unique value to clients and employers. Whether you run an agency, lead a marketing team, or manage your own career, this keynote reframes where your real competitive advantage lives in an AI-saturated market.
1. Run a 48-hour deliverable audit: Review your most recent client work and identify which parts could be replicated by any competitor with AI access versus which parts required your unique judgment, observation, or customer insight, then rebuild your workflow around the irreplaceable parts.
2. Shift your value metric from output volume to insight density: Stop measuring success by deliverables shipped and start measuring it by proprietary observations captured, customer language, informal signals, recurring patterns, and field-level intelligence that no AI training data contains.
3. Build a signal repository for your team or agency: Systematically document observations from client interactions, sales calls, and customer conversations that would never appear in public data, then feed those insights into your AI systems to create a compounding strategic advantage that competitors cannot replicate.

The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.

In a market saturated with content, visibility is no longer driven by volume. AI-driven search, zero-click behaviour, and shifting trust dynamics are redefining how organizations, leaders, and brands are found, understood, and chosen. Increasingly, both AI systems and audiences are evaluating not just what is said, but how clearly, consistently, and credibly it is communicated. This master class explores what actually cuts through, and why most content and thought leadership efforts fail to achieve meaningful visibility or impact. Drawing on 20 years of experience across journalism, agency, and global brands, Victoria Kirk breaks down how authority is built through clear messaging, distinct points of view, and consistent reinforcement across media, content, and platforms. Attendees will gain a practical understanding of how AI systems interpret expertise, how authority signals are formed, and why fragmented or generic messaging limits visibility. The session will introduce a structured approach to aligning messaging, narrative, and visibility efforts to ensure organizations and their leaders are accurately understood by humans and AI search platforms. In a world where both AI and audiences are filtering what gets seen, remembered, and trusted, clarity is no longer optional; it is a competitive advantage.
A clear, defensible messaging framework that can be applied immediately across media, content, and platforms. A practical understanding of how AI evaluates authority, including clarity, credibility, consistency, and proof signals. A repeatable structure for building visibility and trust, enabling organizations to be found, understood, and chosen in zero-click, AI-driven environment.

Today, having an “audience” is a liability because audiences are passive. Looking to the future, having a “community” is how you can succeed. For many brands they think they are being innovative and showing their unique value when truly they have created a glorified TV channel. Every team needs to be engaging with their clients better. This session will walk participants through ideas for community building and propose ideas to challenge how people practice community building for their B2B or B2C brands. Instead of trying to be the loudest voice in the room, we will show you how to build the room itself.
Community Building Mindset Questions to ask their teams on how they can set up better measures for community building. They will get ideas on how to adjust their efforts and an understanding of why their communities can contribute towards ROI. An Internal Advocacy Framework A step-by-step guide on how to identify and empower employees to become brand voices. It’s about creating a “safe-to-fail” environment where their unique personalities drive the marketing, making the brand feel human and inclusive. The “Un-KPI” Metric Sheet Traditional marketing goals (like conversion rates) often kill community vibes. You’ll provide a new way to measure success based on Comment Culture, tracking the quality of peer-to-peer conversations and how often fans defend or explain the brand to others without being asked. This will be available as a shareable metric sheet

AI is no longer a futuristic concept—it underpins personalization, media buying, creative optimization, and predictive marketing. In this panel, senior marketing leaders share real-world examples of AI deployment, highlighting where it drives measurable performance, scalable efficiency, and competitive differentiation. The session emphasizes responsible scaling, alignment with organizational objectives, and translating AI outputs into actionable marketing decisions.
Attendees will learn how to:
• Integrate AI into customer journeys, personalization, and omnichannel campaigns
• Identify the highest-ROI AI applications for marketing functions
• Establish governance and operational frameworks for ethical and scalable AI
• Translate AI-driven insights into actionable strategies that deliver business outcomes

Mastering Local SEO for Service Businesses in the AI Era” is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business