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- Transform Your Marketing Data in 90 Days [Step-by-Step Plan]
Transform Your Marketing Data in 90 Days [Step-by-Step Plan]
Start your data transformation today with these milestones...

Welcome, AI Strategists
💫 Current thoughts: Last week I talked about the “why” behind how important your data is as it relates to AI. This week, I talk about how I would tackle it. For smaller organizations, this is less of a daunting task but it is still relevant. I don’t envy enterprises that have to tackle this. I remember working at a previous company, where they had multiple date fields that meant most recent. You needed a decoder ring to understand the nuance behind the data there. AI won’t have that institutional knowledge, to get off on the right foot, the data needs to be in order. To get the most out of future agentic-type AI systems/workflows - it needs to be tackled.
This Week's Breakdown
Weekly Blog
AI News Roundup for SMB Decision-Makers and Marketing Professionals
Prompt of the Week:
Often times, folks just ask me where to start. Well, let’s get AI to help. Below is a prompt to help you plan out an approach to get AI into your workflows.
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I am [Role: e.g., Marketing Director, SMB Owner, etc.] at [Company Name], a [Industry/Niche] business using [Current Tech Stack/Tools] to manage our [Key Operations: e.g., marketing, customer experience, operations, etc.]. We’re exploring how to integrate AI into our workflows to [Primary Goal: e.g., improve efficiency, boost personalization, future-proof our business, etc.]. However, we face challenges such as [Key Challenges: e.g., lack of expertise, decision paralysis, team resistance, budget concerns, scalability worries, etc.]. Please create a phased plan tailored to our situation, addressing the following: |
Customized Solutions for AI Integration: Recommend AI tools or strategies that complement our current tech stack and align with our specific business goals. Provide practical examples of how these tools can address our pain points and deliver value quickly.
Team Buy-In and Upskilling: Offer actionable steps to address team resistance and upskill employees, ensuring a smooth transition without disrupting current workflows. Suggestions should focus on maintaining team morale and balancing AI with their strengths.
Simplifying Adoption and Reducing Complexity: Outline ways to simplify AI adoption, such as leveraging beginner-friendly tools, providing clear documentation, or implementing phased training programs.
Proving ROI Early: Suggest metrics and methods for measuring the impact of AI on key areas like efficiency, customer engagement, or revenue growth. Focus on providing quick wins to build internal confidence.
Mitigating Risks: Identify common pitfalls specific to businesses like ours and how we can avoid them to ensure long-term success.
Optional Details:
Competitor Landscape: [e.g., What competitors are doing with AI, where we feel we’re falling behind].
Current Processes: [e.g., Key workflows or operations we want to enhance or automate].
The response should provide practical steps and relatable examples, tailored to our company’s industry and size, to help us feel confident about implementing AI.
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Just Because
🍭 “Hard” soup: You guys have seen this, yes?? They sold out…
😹 Cats knocking stuff off, explained: I just took stuff off my desk - problem solved (sort of)
⚡️ Random: Get overstimulated and waste time
🤨 Well This Sucks: Job search survival kit 🎉
🆒 Sharing is caring, and it makes you look cooler too! Share this newsletter
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