Title: How to Assess Your AI Marketing Skills (Take the Quiz!) Resource URL: https://www.youtube.com/watch?v=wNJ1oVzJpWI Publication Date: 2025-02-10 Format Type: Video Reading Time: 5 minutes Contributors: Dan Sanchez; Source: AI-Driven Marketer (YouTube) Keywords: [Artificial Intelligence, Marketing Strategy, AI in Marketing, AI Skill Assessment, AI Marketing Framework] Job Profiles: Academic/Researcher;Artificial Intelligence Engineer;Digital Marketing Manager;Chief Technology Officer (CTO);Chief Marketing Officer (CMO); Synopsis: In this episode of the AI-Driven Marketer podcast, host Dan Sanchez discusses a framework for evaluating AI marketing skills and introduces a self-assessment quiz based on five AI marketing types. Takeaways: [Mastery of AI is essential for marketing professionals regardless of AI’s impact on future job markets., The "Five Types of AI Marketing" framework helps categorize AI applications: copilot for internal processes, content creation, hyper-personalization, conversational marketing, and analysis/forecasting., AI is revolutionizing areas like personalization and conversation marketing, which previously underperformed without AI., A custom scorecard quiz allows marketers to assess their proficiency across the five types and identify areas for improvement., Developing a structured understanding of AI’s role in marketing accelerates both learning and strategic skill growth.] Summary: AI proficiency is becoming a core requirement for marketers, whether AI ultimately creates or displaces jobs. Recognizing a lack of clear benchmarks for assessing AI marketing skills, Dan Sanchez developed a five-type framework to map the evolving landscape. The five types include AI as a co-pilot for internal processes, AI-driven content creation, AI for hyper-personalization, AI-enhanced conversational marketing, and AI for analysis and forecasting. These categories help professionals navigate and organize their learning paths. To make this practical, Sanchez created a 15-question quiz that evaluates marketers' current skill levels across these five areas. The quiz results in a scorecard highlighting both overall proficiency and specific strengths and weaknesses. This tool aims to guide ongoing skill development, helping marketers identify where to focus next. Sanchez encourages listeners to use the quiz as a roadmap for mastering AI in marketing. Content: ## Introduction Artificial intelligence (AI) is poised to transform marketing—regardless of whether one believes it will generate more jobs than it replaces or vice versa. In either scenario, mastery of AI marketing techniques will be indispensable for professionals who wish to remain competitive. Recognizing the importance of early adoption, the host embarked on an intensive learning journey more than a year ago. ## Rationale for Early Adoption AI’s impact on marketing is inevitable. While optimists anticipate that AI will create far more roles than it disrupts, pessimists fear widespread job displacement. Both viewpoints converge on one conclusion: proficiency in AI marketing will be a critical success factor. It is therefore advantageous to begin developing these skills without delay. ## Personal Journey to Proficiency Over twelve months ago, the host began actively experimenting with ChatGPT and crafting custom conversational agents. As his experiments grew more sophisticated, he encountered a central challenge: there was no established framework or assessment to determine one’s skill level—whether beginner, intermediate, or advanced. Courses and standardized evaluations were largely nonexistent at that time. ## Creation of a Guiding Framework ### The Need for a Map Exploring any new domain requires orientation—much like consulting a map before traversing unfamiliar terrain. Using the analogy of a board game such as *Settlers of Catan*, one might identify forests in one region, mountains in another, and fields elsewhere. A similar high-level overview is invaluable when navigating the rapidly evolving AI marketing landscape. ### The Five Types of AI Marketing After experimenting with various organizational schemes, the host distilled AI marketing into five primary categories: 1. **AI as a Co-Pilot**: Automating and optimizing internal processes, such as workflow management and operational tasks. 2. **AI for Content Creation**: Generating written, visual, or multimedia content to support campaigns and communications. 3. **AI for Hyperpersonalization**: Delivering tailored experiences and messaging at scale by leveraging customer data and predictive modeling. 4. **AI for Conversational Marketing**: Engaging prospects and customers through chatbots, virtual assistants, and messaging platforms—areas that traditionally underperformed before AI enhancements. 5. **AI for Analysis and Forecasting**: Interpreting large volumes of data, identifying trends, and making actionable predictions—currently, this domain offers significant untapped potential. Nearly all AI marketing initiatives can be categorized under one of these five types. Although no framework is flawless, this model provides a clear “lay of the land” and helps identify areas in need of skill development. ## Designing the Skill Assessment Quiz To help marketers gauge their proficiency, the host developed a scorecard in the form of an online quiz. Key features include: - **Fifteen questions** covering all five AI marketing types. - **Four straightforward response options** per question—no trick items. - **Individual scores** for each AI marketing category, plus an overall proficiency rating. - **Guidance** (to be released subsequently) offering recommended next steps based on quiz results. This assessment enables participants to pinpoint strengths and weaknesses across the AI marketing spectrum. ## Accessing the Quiz The quiz is embedded within a blog post on the host’s website (link provided in the podcast show notes). Participants simply select their responses online and receive an immediate, personalized scorecard upon completion. ## Next Steps and Call to Action After reviewing the results, marketers can identify which AI marketing types warrant further development over the coming year. A related course is also available for those who wish to deepen their expertise. ## Conclusion and Contact Feedback and discussion are welcomed. Listeners are encouraged to connect via LinkedIn to share insights, ask questions, and exchange ideas on AI marketing best practices.