80: Wyatt Bales: Redefining marketing with AI, SQL, full-stack pros, and the automation of end-to-end campaign requests

What’s up everyone, today we’re joined by Wyatt Bales, Chief Customer Officer at Bluprintx.

Summary: Wyatt Bales served up an awesome episode, calling marketers to defend themselves with SQL proficiency amidst rising AI and automation. His vision? The future marketer as a ‘full-stack’ pro, tech-savvy and strategic, partnering with AI to steer marketing operations to be faster and more data-driven. Wyatt emphasizes maintaining a strong grasp on foundational skills alongside AI tools. In his projected future, consumers willingly opt into hyper-personalized, non-intrusive ads, reshaping advertising dynamics. His takeaway? The marketing landscape is becoming a less daunting journey, navigated by versatile, full-stack professionals who strike the perfect balance between tech and strategy.

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About Wyatt

  • Wyatt got his start as an analyst at Unilever where he got the knack for using Teradata systems and decided to go consulting for the vendors themselves. 
  • At Teradata, he implemented marketing automation and an analytics software for a few Fortune 100 customers.
  • A few colleagues of his went over to a lesser known company called Marketo, where he started as employee # 201 
  • He moved up to Solutions Architect where he focused on revenue attribution and was assigned to some of Marketo’s largest accounts such as Microsoft, Facebook and Philips66..
  • 3 years later, Wyatt took a Senior Marketing role at Uber where he eventually relocated to Amsterdam to lead their Enterprise CRM strategy team where he was the principal architect for Uber’s global roll-out of Marketo’s ecosystem
  • After being a customer of Bluprintx while at Uber, he got the itch to get back into consulting and open a new Bluprint location in Amsterdam, where he led the European consulting practice
  • Today Wyatt manages the global P&L and a team of 85 Bluprint consultants and engineers

The Silent Struggle: Marketing Headcount vs Technology Integration

Wyatt begins by addressing a crucial, yet often overlooked issue in the realm of marketing technology: the ongoing tension between maintaining adequate team size and implementing advanced technology. While discussions about the shiny new tech and exciting innovations typically dominate the conversation, he emphasizes that the human aspect, specifically the team size, can get sidelined.

Reflecting on his extensive experience, Wyatt recalls numerous instances where businesses grappled with this reality. Often, they found themselves constrained by their inability to grow their teams to match their objectives. “I don’t have enough people to do that,” a common lament, resonates across various companies he has engaged with. This constant struggle to secure sufficient headcount is a reality that many marketing teams face. But, why is this the case?

Wyatt points to a counterintuitive relationship between technological progress and team size. As businesses lean more heavily into automation and AI, there’s a growing belief that these advancements can replace the need for large teams. This phenomenon is particularly noticeable in the enterprise space, where headcount tends to remain stagnant, even as marketing technology gets introduced at an accelerating rate.

One might be quick to laud this as a victory for efficiency. However, Wyatt prompts us to consider the other side of the coin: What are the implications of this move towards automation and its impact on team size? Are we heading towards a future where automation overtakes human creativity and effort in marketing? And if so, what are the implications for those who’ve made their careers in this space?

Takeaway: Wyatt’s reflection presents a compelling portrait of the struggle within the marketing world. The tug of war between advancing technology and the need for human intellect exposes a significant challenge faced by many companies today. As we move further into the realm of AI and automation, businesses must grapple with the question: How do we strike the balance between leveraging cutting-edge technology and preserving the invaluable human element that drives creativity and innovation?

Becoming Future-Proof: The Power of SQL Skills

With the growing concern about AI potentially replacing entry-level jobs in marketing, Wyatt offers a lifeline: learning SQL. This piece of advice is significant in an era where anxiety about job prospects, particularly among soon-to-be graduates, is increasingly prevalent. Wyatt provides reassurance, suggesting that mastering SQL can equip individuals with a skill that’s in high demand and potentially immune to the trend of job automation.

For those unfamiliar, SQL (Structured Query Language) is a programming language used for managing and manipulating databases. It’s a valuable skill across various marketing roles, including strategy, market operations, and analytics. And according to Wyatt, this skill can act as a powerful tool for carving out one’s career path, regardless of the turns the industry might take.

As companies continue to leverage data to inform their strategies, the role of data analysts becomes increasingly pivotal. They’re needed to extract, manipulate, and funnel data into systems that drive decisions. Wyatt argues that this role is still a considerable distance from being automated. As such, individuals skilled in SQL and capable of tasks like joining two datasets together or building dashboards have strong job prospects.

Takeaway: Wyatt’s advice to graduates or those feeling the heat of AI’s rising influence is to invest time in learning SQL. This specific, tangible skill set serves as an excellent defense against automation’s encroachment into the job market. It’s a reassuring message that underlines the enduring value of technical skills, even in an era increasingly dominated by AI.

The Future Marketer: Bridging Technical Skillset and Strategic Mindset

Wyatt foresees a transformation in the DNA of successful marketers in the coming decade. He predicts a bifurcation, where marketers will be divided into two distinct groups: those who cultivate a more technical understanding and those who continue to rely on traditional marketing skills. 

According to Wyatt, technical expertise isn’t merely a buzzword; it’s a credibility builder. Mastery of technical skills, such as writing SQL queries, discussing API integrations, and coding, boosts a marketer’s credibility not only among engineers but also among senior executives. 

However, this doesn’t downplay the importance of strategy. If a marketer can balance technical prowess with a sound understanding of strategic elements, such as mapping out a lead funnel or discussing conversions, they will possess a unique skill set that is highly sought after. This hybrid profile—the technical strategist—will be the most valuable player in the future marketing landscape.

Wyatt goes one step further and outlines an ideal marketer for the future. Such a marketer would know how to leverage tools like AI and GPT for creative tasks, like generating copy or designing, and integrate these capabilities into a broader marketing stack. He gives the example of ‘content supply chains’, where campaign briefs can go through market automation all the way to delivery, without the need for a single developer or market operations person. This vision isn’t far-fetched; it’s becoming reality today. And a marketer who can navigate this landscape, integrating AI tools with enterprise systems, will hit the sweet spot in terms of value.

Takeaway: Wyatt provides a clear vision for the future marketer—someone who pairs technical acumen with strategic insight and embraces the integration of AI tools into marketing processes. This profile is not only the ideal solution to the challenges presented by automation but also the key to unlocking new opportunities in the evolving marketing landscape. Such a blend of skills and understanding will make one an invaluable asset in the rapidly transforming world of marketing.

Automating the Campaign Process End-toEnd

Wyatt paints a vivid picture of a revolution in marketing. According to him, the line between project managers, campaign creators, and implementers is gradually blurring. This is not merely theoretical speculation; it’s the practical reality that he and his team have been building over the past six months.

When a campaign brief comes in, a request form with up to 25 fields captures all the necessary details, from target audience persona to copy, naming conventions, tags, and channels. The campaign idea, after a strategic whiteboarding session, evolves into a concrete action plan that can mostly be automated from request to delivery and reporting. 

Here’s where it gets really interesting. The request form doesn’t just sit idle, waiting to be actioned. Instead, the details provided — keywords, personas, etc., — are leveraged to generate content drafts automatically. An AI model, similar to OpenAI’s GPT-4, scrapes the internet, generating multiple examples of emails that could be used for the campaign. Wyatt shared that these examples are sent back to the campaign requester for approval or tweaking, all within the platform they are using, Workfront, a versatile tool from Adobe.

Once approved, the content passes to compliance — possibly another AI function in the future. Time tracking kicks in as soon as an agency opens the note for approval, allowing accurate measurement of time and spend for ROI calculations. Post agency approval, the content goes for localization in up to 45 languages — again, without any manual involvement.

The result? A fully approved, localized email campaign ready to roll out in every language needed. The package is then sent to your Marketing Automation Platform, in their case, SF Marketing Cloud, where all the corresponding journeys and assets are created. The sender, who could be the same person who initiated the request, gets a notification that the package is ready to go. With a simple click, the campaign launches.

Yet, the innovation does not stop there. Wyatt shared that all this data — every step, every interaction — is pushed to Tableau. This allows for insights not only on campaign performance but also on the efficiency of the campaign execution process itself. Executives can see how many employees it took to launch a successful campaign and how long it took. This becomes particularly relevant in industries that struggle with staff retention, such as banking and healthcare.

Takeaway: Wyatt’s and his team’s revolutionary campaign process automation eliminates the traditional silos in marketing, allowing a single strategist to wear the hats of a copywriter, operations manager, and even an analyst. It’s a terrifying but exciting new world where AI and software could potentially replace the need to retain dozens of marketing campaign management personnel. The most compelling part is that it’s not science fiction but the reality that’s being built today. With this approach, marketing becomes more efficient, fast, and data-driven, ensuring better ROI and quicker turnaround times.

Marketing Operations Pros Will Always Have a Strategy Seat at the Table

In response to concerns about automation rendering marketing operations obsolete, we maintain an optimistic view. We believe that the transformation in the works is not a death knell for marketing ops personnel but rather an opportunity for growth and evolution in their roles.

In the process Wyatt illustrated, while automation handles a lot of the batch-and-blast tasks, it doesn’t eliminate the need for human involvement, especially in the whiteboarding and strategy planning stages. This is where many ops professionals could shift their focus, thus transforming their roles rather than being replaced.

The power of automation could potentially extend beyond just sending a batch of emails. It could leverage higher-quality data, honed from previous user history, to create micro-segments and tailor individualized emails based on factors like when a user created their account or initiated a free trial. This opens a new door to comprehensive personalization, making the messages more relevant and engaging for the recipients.

Interestingly, Wyatt acknowledges that these possibilities exist but stresses the importance of scale. What he’s building is intended for large corporations with thousands of employees — not a one-size-fits-all solution for all businesses.

However, he emphasizes the potential benefits of automation: reducing the monotonous tasks in marketing ops and freeing up time to focus on the creative and strategic aspects of the job. With the nitty-gritty details taken care of, ops professionals can concentrate on channel performance and optimization, further enhancing campaign effectiveness.

Takeaway: Automation in marketing operations doesn’t signify an end but rather a pivot towards more strategic and creative roles. With tedious tasks handled by AI, marketing ops professionals can focus on strategy, channel optimization, and advanced personalization. They’ll have more time for deeper, more comprehensive A/B testing and can finally run the robust campaigns they’ve dreamt of, boosting campaign performance and enhancing their contribution to the business.

Preparing Today for the AI-infused Marketing Department of Tomorrow

Wyatt is unapologetically forward-thinking about the role of AI in the marketing world. When it comes to envisioning the marketing department of the future, he’s clear about one thing: data models. After all, the tuning and precision of AI tools hinge on the quality of the underlying data. How can organizations prepare for this impending AI revolution, particularly if it feels like they are traversing the territory of science fiction? Wyatt provides an insightful perspective on this based on his own professional journey.

His prior role at Teradata, a major database company, meant he had a decent grip on SQL. But when he transitioned to Uber, he discovered a whole different ball game. At Uber, a striking 60-70% of employees were proficient in SQL, often more adept than he was. That meant even senior directors could whip out a query builder and write SQL code on the fly to solve a problem. The profound realization for Wyatt was that technical know-how like this not only bridged hierarchical gaps but also allowed for quicker, more efficient problem-solving.

Wyatt urges today’s marketers to embrace this dual proficiency. Firstly, in SQL and data science to manage basic data analytics and data store definitions. Secondly, in AI, to understand how this technology can revolutionize business operations and marketing strategies. Having expertise in both these domains would make one a much sought-after “unicorn” in the industry, able to command conversations at both technical and business levels. Whether at a big tech giant, a small start-up, or a traditional enterprise organization, this unique skill set, according to Wyatt, is sure to make one stand out.

Takeaway: As AI continues to permeate the marketing sphere, Wyatt’s words ring true – proficiency in data models and AI, coupled with a firm understanding of business context, will set marketers apart in this rapidly evolving landscape. Preparation for the future starts now, and it starts with mastering these skills.

The Big Question: Learn SQL or Use Text-to-SQL Tools?

Wyatt’s perspective on the increasing emergence of AI tools that can convert plain text into SQL was enlightening. He didn’t dismiss the value of these AI tools, but he also emphasized the continued relevance of knowing SQL as a marketer. The analogy he drew was insightful; just as one doesn’t need to be an electrician to understand the basics of a fuse box, one doesn’t need to master SQL but should have a fundamental understanding of it. 

Wyatt’s perspective is that knowing SQL is not just about performing technical tasks, but it is a fundamental skill for a marketer. The skill lets marketers interface with their data directly, it enables them to converse at eye level with developers and engineers, and it also gives them independence and efficiency in a meeting or a discussion.

According to Wyatt, tools like text-to-SQL should complement your SQL skills rather than replace them. While they can indeed be useful when tackling more complex queries involving joins and unions, or when looking to understand specific patterns like trend lines, they should not replace the basic knowledge of SQL.

His standpoint makes a lot of sense in today’s business context. When a marketer has the ability to modify a query on the fly in the middle of a meeting, it comes across as more professional than having to juggle between multiple tabs with your AI tools to achieve the same. Wyatt argues that it’s not an either-or choice between SQL and AI tools, but rather how these two can best be used in conjunction.

Takeaway: While AI tools like text-to-SQL are becoming increasingly powerful, having a basic understanding of SQL can offer a unique edge for marketers. It’s about complementing AI tools with SQL skills, not replacing one with the other. In Wyatt’s view, SQL is not just a technical skill, it’s a life skill for future marketers, and it enables them to be more professional, efficient, and independent.

Speeding Up Your Development Process with AI, but Keeping Your Technicals Grounded

When we navigate the intricacies of technical subjects such as JavaScript, it’s intriguing to note how AI tools, like GPT, can make a world of difference. These tools are indeed “wicked” for generating code templates, but he cautions that these automated solutions are far from infallible. They often need to be carefully vetted, as they can produce errors, and moreover, they lack the human ability to understand the full context of a particular situation.

In agreement with this perspective, Wyatt acknowledges that AI tools can significantly accelerate your development process, providing invaluable templates to work off of. However, he emphasizes the necessity of having a foundational understanding of the technical aspects of your work.

Reflecting on a hypothetical scenario, Wyatt paints a picture of a boardroom meeting where one’s technical knowledge is put to the test. If a question arises about how a certain mechanism works, and you’ve relied solely on AI without understanding the underpinnings of the technology, it will become glaringly obvious. 

Takeaway: In the fast-evolving world of AI, it’s alluring to lean heavily on these advanced tools. But Wyatt suggests a balanced approach. Use AI to accelerate your development process but don’t neglect the foundational technical skills. It’s the blend of AI utilization and in-depth technical understanding that will help you maintain your credibility and shine in your profession.

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The Shift Towards Warehouse-Native in Martech: A Game Changer or Just Another Buzzword?

In the realm of marketing technology, the movement towards a warehouse-native approach is gaining traction, transforming the fundamental structures that have dominated this space. With companies like Vero, Message Gears, and Castled.io paving the way, Wyatt finds himself in agreement with this emerging trend. He firmly believes that in the context of enterprise-level operations, the concept of an interface or a duplicate database might soon become obsolete.

Drawing from his own experience, Wyatt reflects on conversations with customers who have either tried their hand at building their own customer data platforms (CDPs) or have invested in existing solutions such as Segment. The recurring question, he notes, seems to be around the necessity of traditional marketing automation tools when data could be directly accessed and managed through warehouse-native structures.

The concept of circumventing the traditional methods by directly packaging HTML or querying staged views of leads is gaining ground. It reflects a growing desire to simplify and streamline processes by leveraging the capabilities of data warehouses. Wyatt also discusses the implications this shift might have on pricing models in marketing automation, hinting at a possible evolution or a radical change that companies like Marketo and Salesforce might need to address.

However, Wyatt notes a caveat – while the warehouse-native approach may be the way forward for enterprises, the traditional marketing tech model still holds relevance for small and medium-sized businesses (SMBs). Tools like HubSpot and MailChimp still have a considerable place in the market, catering to businesses that might not require or benefit from a warehouse-native structure.

Interestingly, he also envisions a merging of work management tools like Asana with marketing tech platforms for SMBs, creating end-to-end solutions that cater to their unique needs. This could lead to a greater diversification of the martech landscape, with warehouse-native solutions dominating at the enterprise level and more integrated, all-in-one solutions gaining traction in the SMB sector.

Despite these potential shifts, Wyatt doubles down on the importance of marketers having a foundational knowledge in SQL. In his opinion, the value of such a skill set could be amplified in a future where marketing professionals are directly engaging with data warehouses. This emphasizes the need for marketers to continue developing their skills and adaptability to thrive in an evolving technological landscape.

Takeaway: The advent of warehouse-native tools could revolutionize the martech landscape, particularly for enterprise-level businesses. Amid these changes, foundational knowledge in SQL could become a critical skill for marketers, underscoring the need for continuous learning and adaptability in a rapidly evolving field.

The Great Debate: Packaged vs. Composable CDP

Startups today are beginning to grasp the importance of data, but with it comes a significant question: should they choose a packaged or a composable Customer Data Platform (CDP)? 

Wyatt shared his experiences from the front lines, offering insights from his encounters with diverse clientele. His observations revealed that while Segment CDPs are a common choice among his clients, some are starting to realize the potential pitfalls of this option. The licensing cost can become a deterrent over time, especially for startups that may not yet be generating significant revenue. 

Simultaneously, Wyatt is noticing the rising prominence of Salesforce’s data cloud in the CDP conversation. Salesforce is repurposing its ABM or B2B tool, Pardot, and shaping it into a flexible platform that can handle high transactional activity and large-scale events while sitting on top of an existing database. 

However, this landscape doesn’t solely revolve around traditional CDP platforms. Wyatt introduced an exciting alternative in the form of data integrity solutions, such as the one offered by Soto.io. This tool isn’t about duplicating databases but rather about creating a transparent, informative layer over your database. It provides an accurate assessment of your data’s quality, giving startups a clear view of their warehouse contents. 

Takeaway: The verdict on packaged vs. composable CDP is far from settled. While some startups are gravitating towards packaged solutions like Segment and mParticle, others are exploring the composable stack. The final choice depends on your startup’s unique needs and the vision of its data team. The journey of learning and discovery in this space is ongoing, making it an exciting debate to keep an eye on.

The Future of AI in Martech: Optimizing for the Individual

Despite the considerable buzz around AI, the reality is that the practical use of AI in businesses is often dependent on the quality of data available. This is a challenge that Wyatt believes will be a critical focal point over the next five to ten years.

Yet, Wyatt doesn’t shy away from revealing his excitement for the future of AI in marketing. His company is working on a side-by-side comparison of different AI vendors’ channel optimization capabilities. The aim is to understand how AI can improve channel optimization and ultimately enhance customer engagement.

Channel optimization, Wyatt explains, has been a game of chance for too long. He envisions a future where AI learns customer preferences so seamlessly that it doesn’t feel intrusive. Imagine a world where marketing messages arrive just as you finish your morning coffee or when you’re winding down for the evening. The interaction would feel less like being sold to and more like an organic part of your routine. 

As Wyatt articulates, this potential for personalized, almost intuitive engagement is the ultimate promise of AI in marketing. Despite the operational challenges in the world of martech, Wyatt’s anticipation for AI’s role in channel optimization is palpable. This vision of AI-enhanced marketing operations is not only exciting but also a testament to the game-changing potential of AI when backed by robust and clean data.

Takeaway: In the future of AI in martech, the focus is not just on automating processes but also on optimizing individual engagement. As Wyatt suggests, AI could make marketing feel less intrusive and more like an organic part of daily life. However, this future relies heavily on the quality of data, emphasizing the critical role of data management in harnessing AI’s potential.

Advertising of the Future: Opting in for Value

A thought-provoking concept drawn from the sci-fi book ‘All Our Wrong Todays’ by Elan Mastai, presents an alternate future where advertising is not merely one-to-one communication, but hyper-personalized based on an individual’s current mood, daily activities, and even upcoming events. In this alternate world, the protagonist, an employee of an advertising agency, introduces an idea of offering consumers a flat fee to opt out of all ads. Interestingly, this proposal fails spectacularly, as consumers in this world prefer to pay for hyper-personalized ads that bring them genuine value and communicate the right message at the right time.

Wyatt echoes this notion, introducing the example of ‘We Are 8,’ a company that is already bringing elements of this future to life. Co-founded by one of Wyatt’s former colleagues at Uber, ‘We Are 8’ offers an opt-in advertising model where prospects get paid for each click they generate. This business model shifts the dynamics of advertising, empowering users to create their own journeys with the brands they engage with, while also profiting from each interaction.

This shift could lead to a radical redefinition of advertising, with consumers in control, curating their own experiences, and benefiting directly from their engagement with ads. If successful, this approach could turn the conventional model of advertising on its head, allowing businesses to target consumers who are not just interested, but also invested in their brands.

Takeaway: The future of advertising could see a shift towards a model where consumers willingly opt in for hyper-personalized ads that offer genuine value, echoing a theme from the sci-fi world. ‘We Are 8’ exemplifies this future, offering an innovative model where consumers get paid for their engagement, signifying a radical change in the dynamics of advertising.

The Advent of the Full Stack Marketer

The full stack marketer. A role that promises to navigate the ever-expanding landscape of marketing technology, harnessing the power of data, and deftly architecting marketing strategies that resonate with the evolving consumer mindset.

Wyatt reflected fondly on his experience as a Solutions Architect at Marketo, recalling it as one of the most rewarding stages of his career. There, he engaged with a myriad of clients, each presenting their unique challenges, and spent his days creatively piecing together solutions on whiteboards, devising strategies that would integrate different systems – some quite antiquated – into a functional and efficient whole. The reward lay not only in the intellectual exercise but also in the diversity of industries he got to work with and the range of problems he encountered.

In Wyatt’s view, the evolution towards becoming a full stack marketer or a solutions architect – whatever you choose to call this exciting new role – follows a natural progression. After gaining familiarity with SQL, integrations, deployments, and the grind of day-to-day operations, one is equipped with a wealth of opinions on tools, APIs, and vendors. Such expertise becomes an invaluable asset, especially in an age where ‘native integrations’ are often a misnomer and knowing which vendor will cause ‘throughput’ issues can save substantial headaches down the line.

Takeaway: The future of marketing may well lie in the hands of these ‘full-stack’ professionals who combine an understanding of technology with marketing strategy, who can bring together disparate systems into a cohesive whole and who know from experience which tools deliver and which merely promise. This new breed of marketers could make the journey of navigating the digital marketing landscape a less daunting expedition, making it a truly exciting prospect for anyone considering this career path.

Seeking Balance and Happiness in the Tech World

Wyatt, a seasoned C-level executive, keynote speaker, drone pilot, award-winning outdoorsman, and successful real estate investor, offers some rare insights into finding happiness and maintaining balance in a fast-paced career, especially in the tech sector. He sheds light on his approach to navigating the high-pressure world of martech while retaining his personal contentment and grounding.

For Wyatt, the key to happiness in this challenging industry lies in the pursuit of humility. His ethos is deeply rooted in acknowledging the surreal nature of the martech industry and keeping things in perspective. He often reminds his team and himself, that despite the high stakes and stress involved, they aren’t performing surgery or saving lives, but merely facilitating email clicks.

Maintaining this sense of humor about their work and understanding the relative gravity of their tasks, according to Wyatt, allows him to stay upbeat. He encourages his team to appreciate their unique circumstances – the freedom to work from home, to travel, and the flexibility to shape their career trajectory. Recognizing these privileges and never taking them for granted forms the backbone of his happiness.

When it comes to finding balance among various roles and responsibilities, Wyatt’s approach is refreshingly candid. Upon moving from the U.S. to Amsterdam, Wyatt sought an enhanced quality of life, distancing himself from the American trend of excessively long work hours. He drew inspiration from his parents who, despite working on a farm, maintained a flexible schedule, investing time in family activities and making up for it later in the evening.

Wyatt applies this same philosophy to his day, breaking it up with gym sessions or two-hour coffee breaks in the sunshine with his employees. He might find himself working late into the night to complete a deliverable or a presentation for a client, but he never loses sight of the larger picture. The key, according to Wyatt, is to prioritize physical and mental health, invest in others, and let career-related concerns follow suit.

Takeaway: Wyatt’s philosophy highlights the importance of humility, perspective, flexibility, and prioritizing personal well-being over career-related concerns in finding happiness and balance in the tech sector. His insights are a reminder that maintaining a sense of humor and perspective about one’s work, coupled with investing time in relationships and health, can lead to a more fulfilling career in the tech industry.

Financial Freedom and Podcast Recommendations

In the world of real estate investment, Wyatt maintained a sense of modesty. He was quick to dispel any illusions of grandeur, remarking, “I’m quite a humble, small shot guy, by no means like this massive tycoon or anything like that.” He emphasized, however, the importance of passive income and financial freedom, acknowledging its empowering potential for people to not have to rely solely on a paycheck.

When it came to recommendations for individuals interested in understanding more about real estate, Wyatt cited the BiggerPockets podcast as a valuable resource. Though he clarified that he had no direct association with the team, he expressed admiration for their practical and down-to-earth approach. “Anywhere that you are interested in real estate,” Wyatt suggested, “whether you just want to rent out your home, consider buying a home, or want to refinance, they’ve got some good stuff.”

Shifting gears from real estate, Wyatt shared his personal favorite podcast, Checks and Balances by The Economist. It provides a refreshing perspective on current affairs that, according to Wyatt, escapes the doom and gloom often associated with news outlets.

Episode Recap

In the ever-evolving marketing landscape, AI is often viewed as the villain. Yet, in this enthralling episode, Wyatt flips the script. Picture this: instead of an AI-dominated dystopia, we witness a brave new world where tech-savvy marketers thrive, armed with a blend of strategic insight and, surprise surprise, SQL!

Wyatt dares us to ditch our siloed comfort zones, envisioning a marketing maestro adept at copywriting, operations, and analysis. The efficiency boost? Off the charts. The new ROI on marketing? Eye-popping.

The secret sauce? A balance of AI magic and old-school SQL prowess. Despite the allure of AI, Wyatt insists on SQL’s enduring relevance. It’s the unassuming hero, the key to wielding AI tools to their fullest and navigating through the warehouse-native tool revolution.

As the marketing tech space debates packaged vs. composable CDPs, Wyatt reminds us that one size doesn’t fit all. Each startup’s unique needs guide the choice. As AI nudges marketing to feel more like an organic, personalized conversation, Wyatt underscores that the quality of our data will be the game-changer.

Envisioning the future of advertising, Wyatt predicts a shift towards consumers willingly embracing hyper-personalized ads. A sneak peek into this world through ‘We Are 8’ paints a picture of consumers reaping rewards for their engagement.

The verdict? The marketing virtuoso of the future is a ‘full-stack’ professional, as comfortable with tech as they are with strategy. As the journey of digital marketing evolves, these brave pioneers may well be our guiding stars.

Tune in, learn, and gear up for the thrilling ride ahead! 🎧

And don’t forget to follow Wyatt and Bluprintx:


Intro music by Wowa via Unminus
Cover art created with Midjourney

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