DiscoverThe Backstory on Marketing and AI
The Backstory on Marketing and AI
Claim Ownership

The Backstory on Marketing and AI

Author: Guy Powell

Subscribed: 9Played: 139
Share

Description

Dive deep into the dynamic marketing realm in the digital age with The Backstory on Marketing and AI, hosted by Guy Powell, the visionary President of ProRelevant Marketing Solutions. This enlightening podcast is your gateway to understanding the intricate interplay between data-driven marketing strategies and cutting-edge AI technologies.

Each episode brings to the table candid and insightful conversations with some of the industry's most influential leaders and analytics experts. They share their valuable perspectives and experiences on how to navigate the ever-evolving marketing landscape successfully. As a listener, you will be able to discover the most current trends shaping the marketing world and learn innovative ways to leverage AI to elevate your brand's presence and impact.

The Backstory on Marketing and AI is an indispensable resource for anyone involved in marketing, from executives managing to proactive marketers. Whether you're an executive overseeing a hefty advertising budget or a marketer at the forefront of a growing brand, this podcast is your resource for staying ahead in the competitive marketing world.

Tune in on Apple Podcasts and Spotify and be part of the pivotal discussions defining the future of marketing. Don't miss out on this chance to revolutionize your approach to marketing and AI. Subscribe today and begin becoming a more informed and strategic marketer. For more information, visit www.prorelevant.com.

Typical questions discussed in this podcast:
How is AI transforming traditional marketing strategies?
What is the role of data analytics in understanding consumer behavior?
What are the best practices for integrating AI into your marketing campaigns?
What is the future of personalized and content marketing with AI?
What are some AI success stories and case studies: Brands leading the way in AI marketing?
How can we best overcome challenges in adopting AI technologies for marketing?
How can we measure the ROI of AI-based marketing initiatives?
How can we build a customer journey map leveraging AI insights?
How can we maintain privacy, data protection and cyber security in the age of AI marketing.
How can we build a skilled team to leverage AI in marketing?
What is AI's influence on social media marketing strategies?
What is the right balance between AI automation and the human touch in marketing?
What are the limits of using AI to support Chatbots?
How can young marketers leverage AI in their careers?

Topics Discussed:
AI Marketing
Data Analytics
Predictive Analytics
Brand Strategies
AI Ethics
Creative Advertising
Marketing ROI
Customer Journey
Content Marketing
Chatbots
Data Privacy
Social Media Strategies
Small Business Marketing
Prompt design and engineering

Main Questions:
What is the difference between ChatGPT and Bard?
How can Canva be used for image development?
What is a Large Learning Model (LLM)?

Testimonials:
In this fun and easy read, Guy provides a roadmap on how you can navigate through today's choppy waters and come out on the other side with a successful, metrics-based marketing campaign.
Jamie Turner, Author, Adjunct Instructor, Speaker, and Consultant

Guy does a great job of outlining marketing strategies adopted during the pandemic through some very insightful case studies and is a must-have for marketers.
Sonia Serrao, Senior Director, Brand Marketing at Tarkett

Sign up now for more episodes.
155 Episodes
Reverse
What happens when AI becomes your assistant instead of your replacement?This episode explores a different approach to AI and Marketing.Guy Powell speaks with Jonathan Schaefer about privacy, intellectual property, personal knowledge, and keeping humans in control of AI-assisted work.Jonathan describes AI as augmented intelligence.Instead of allowing AI to make final decisions, professionals can use it to generate ideas, organize information, and improve their thinking.Humans still decide what belongs in the finished work.The conversation also examines the risks of placing proprietary information into third-party AI systems.Marketing campaigns, client histories, research, presentations, and creative ideas can contain valuable intellectual property.Jonathan explains how private AI can work with information stored directly on a personal computer.This allows professionals to explore years of documents and research without depending entirely on public internet information.For experienced marketers, that personal knowledge can become especially valuable.AI can uncover forgotten projects, identify patterns, compare past thinking with current strategies, and support AI enabled Market Research.The episode also addresses AI hallucinations and unreliable sources.AI may discover useful information, but professionals must still verify important facts.This is especially important when publishing research or creating materials that affect your reputation.The central lesson is simple.Use AI.Learn how it works.Understand what it does well.Understand where it fails.Most importantly, remain responsible for the final result.Your name, brand, intellectual property, and reputation are still yours.Learn more about Synsira:https://kind.synsira.com/Connect with Jonathan Schaefer:https://www.linkedin.com/in/jonathan-schaeffer-phd-frsc-aaai-fellow-3318015/Click here to view the video:https://www.youtube.com/watch?v=dTFVrAqaGHY#AIandMarketing #AIMarketing #MarketingAI #DataPrivacy #AIMarketResearch
AI agents are rapidly changing how marketing teams execute campaigns, manage advertising, and improve performance.In this episode of The Backstory on Marketing and AI, Guy Powell speaks with Eric Picard of Fluency about the next generation of marketing automation.Eric explains why much of modern marketing still involves repetitive manual work. Automation can remove that burden and give marketers more time for analysis, strategy, and optimization.The conversation explores an important distinction between probabilistic AI and deterministic automation.Large language models are powerful tools for generating ideas and helping people think through problems. However, organizations need stronger controls when financial transactions, compliance, or business-critical decisions are involved.That is where human oversight becomes essential.Eric discusses when marketers should remain “in the loop” and how repeatable business rules can be automated safely.The episode also explores the rise of agentic advertising.Buyer and seller agents may eventually conduct detailed media negotiations before humans review and approve transactions.This could create greater information sharing between advertisers and publishers while improving media-buying efficiency.Other topics include:• AI and Marketing• AI enabled Market Research• Agentic advertising• Marketing automation• Programmatic media• Human oversight and governance• AI compliance and risk• Marketing efficiency• AI ROI and measurement• The changing role of marketers• Career opportunities created by AIThe conversation also addresses how businesses should measure AI investments.Cost reduction is only one measure. Organizations can also examine revenue growth, product improvement, service quality, and increased capacity.For marketers, the career message is equally important.Learning how to use AI effectively may become a major professional advantage.The future of marketing is not simply about replacing people with automation.It is about combining technology, human judgment, governance, measurement, and creativity to produce better outcomes.To learn more about Fluency:https://www.fluency.inc/Connect with Eric Picard:https://www.linkedin.com/in/ericpicard/Click here to view the video:https://www.youtube.com/watch?v=hntFM524q1A#AIandMarketing #AIenabledMarketResearch #AIAgents #MarketingAutomation #MarketingAI
In this episode of The Backstory on Marketing and AI, host Guy Powell welcomes Aksel Bedikyan, Founder and CEO of OhGee Insights.With a background in engineering, data science, and business strategy, Aksel brings a unique perspective to AI-driven research.Together, they explore how AI-moderated interviews are changing the way organizations gather information, analyze customer feedback, and develop actionable insights.What You'll Discover1. Scaling Research with AITraditional qualitative research often involves interviewing small groups of participants. AI-moderated interviews make it possible to reach significantly larger audiences.2. AI Versus Human InterviewsAI can improve speed and efficiency. However, human researchers remain important for understanding body language, emotional hesitation, and complex responses.3. Getting Better Insights from AIDiscover why detailed prompts, business context, and industry expertise are essential for generating meaningful research findings.4. The Changing Role of ResearchersAs AI automates data analysis, professionals can focus more on research design, strategic interpretation, and communicating recommendations.5. Opportunities for Future MarketersLearn why curiosity, creativity, and critical thinking remain valuable skills in an increasingly automated marketing industry.The Key TakeawayAI is not simply replacing traditional research methods.Instead, it can strengthen human capabilities and help organizations turn complex information into better business decisions.The most effective research combines technological efficiency with human experience and strategic thinking.
In this episode of The Backstory on Marketing and AI, Guy Powell welcomes Sarah Pattisall, Brand Strategist at Brand3.Together, they explore what happens when businesses adopt artificial intelligence without first establishing a clear marketing strategy.Sarah explains why AI-generated content requires human oversight and how poor implementation can create inconsistencies across marketing, sales, and customer experiences.She also shares practical examples of automation projects, including lessons from a complex workflow that failed to improve operations.The discussion highlights the importance of identifying real business problems before investing in new AI systems.Key topics discussed:Why brand strategy should guide AI adoption.How AI-generated content can damage customer trust.The importance of human oversight and quality checks.Aligning AI workflows across business departments.Why simple automation can outperform complex solutions.Understanding customer needs through AI enabled Market Research.Building direct audience relationships beyond social media.Why critical thinking remains essential for marketers.Key takeaway:AI delivers greater value when it supports a clear business strategy, improves existing processes, and preserves the human perspective behind effective marketing.This conversation offers useful guidance for marketers, B2B founders, and business leaders exploring AI-driven growth.scalebeyondreferrals.com Code: SCALEBEYOND
AI-Powered Marketing

AI-Powered Marketing

2026-09-1435:43

AI is changing the way marketers measure performance, understand customers, and personalize communication.This episode explores how advanced analytics can help marketers connect advertising investments with measurable business outcomes. The discussion examines marketing mix modeling, short-term conversions, long-term customer value, and the importance of understanding why campaigns succeed.A major example explores how analytics helped evaluate a significant Super Bowl advertising investment. The conversation explains how marketers can track impressions, engagement, conversions, and longer-term effects.The episode also explores the growing role of hyper-personalization. AI can combine customer behavior, demographics, and market signals to create more relevant marketing messages.Email marketing receives special attention. Generic messaging can create deliverability challenges, while differentiated subject lines, preview text, and content can improve engagement.The discussion also covers the connection between marketing and sales. Salespeople can be viewed as highly personalized messaging channels. Marketing analytics can help improve targeting, messaging, and sales effectiveness.Another key takeaway involves data infrastructure. Companies should build strong systems for collecting and analyzing data before their marketing investments become significantly larger. The conversation looks ahead to 2027 and the growing importance of AI-powered hyper-personalization. CMOs will need to justify these investments through measurable business results.The future of marketing will require faster experimentation, stronger analytics, and better customer understanding.Key topics include: AI and Marketing, AI enabled Market Research, marketing analytics, hyper-personalization, marketing mix modeling, email marketing, customer segmentation, sales enablement, data infrastructure, and AI strategy.
loading
Comments