AI roadmap for marketers: How we grew out of 'random acts'
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The Revenue Marketer

AI roadmap for marketers: How we grew out of 'random acts'
Is your planning process effective? Or just a lot of busy-work?
If you relate to the latter, we feel you! No one learns "how to plan" in school. They learn it through osmosis by following other leaders throughout their career. That typically is in an amalgamation of styles that result in 90 page decks that no one looks at after Jan 1. Let's change that!
You've assembled your AI task force, gotten your hands dirty with some actual AI tools, and maybe even impressed your boss with a ChatGPT-generated email that didn't sound like a robot wrote it. Kudos! But now comes the real challenge: figuring out how AI fits into your operational marketing strategy.
It's time to conduct an AI impact analysis and create a roadmap to make even the most skeptical stakeholders or team members sit up and notice.
Step 1: Assess Your Current AI Landscape
Before you can chart a course, you need to know your starting point. Time for some honest self-reflection:
- Audit Your Tech Stack: What AI capabilities do your current tools have? Are you using them? (Be honest – we won't judge if that fancy AI-powered tool is just gathering digital dust.)
- Evaluate Your Team's AI Literacy: Remember that survey you did a few weeks ago? Time to revisit it. How comfortable is your team with AI now?
- Review Your Data Situation: Is your data clean, accessible, and compliant with privacy policies? Or is it a digital junk drawer?
- Identify Current AI Use Cases: Where are you already using AI, even if it's just dipping your toes in the water?
Pro Tip: Involve your entire AI council in this assessment. Remember those curious, passionate folks you recruited? Time to put them to work!
Step 2: Dream Big (But Realistically)
Now for the fun part – imagining the possibilities. But remember, we're not writing science fiction here.
- Brainstorm Potential AI Use Cases: Get your team together and let the ideas flow. No idea is too wild at this stage. Well, except for that AI-powered coffee maker that reads your mind. That's just creepy.
- Prioritize Your Ideas: Use a simple matrix: Impact vs. Feasibility. High impact, high feasibility? That's your sweet spot.
- Set Clear Objectives: What do you want AI to help you achieve? Be specific. "Make more money" is not an objective. "Increase email open rates by 15% using AI-generated subject lines" is.
Remember: The goal isn't to replace your team with AI, but to supercharge their capabilities.
Step 3: Map Your AI Journey
Time to turn those dreams into a concrete plan. Your AI roadmap should include:
- Short-term Wins (3-6 months): Quick, achievable projects that show immediate value. Think AI-powered A/B testing for landing pages or using your preferred AI tool to draft social media posts.
- Mid-term Goals (6-12 months): More complex projects that require some groundwork. Maybe it's implementing an AI-driven customer segmentation model or creating a chatbot that doesn't make your customers want to throw their devices out the window.
- Long-term Vision (1-3 years): The big, transformative stuff. This could be fully personalized, AI-driven customer journeys or predictive analytics that make you feel like a marketing psychic.
For each stage, clearly outline:
- Specific projects and their objectives
- Required resources (budget, tools, people)
- Potential roadblocks and how to overcome them
- Success metrics
Pro Tip: Don't forget to include ongoing training and upskilling in your roadmap. AI moves fast, and you don't want your team to be left in the digital dust.
Step 4: Get Buy-In (And Budget)
You've got your roadmap. Now you need to sell it to the powers that be. Here's how:
- Speak Their Language: Translate your AI initiatives into business outcomes. Instead of talking about implementing natural language processing, talk about improving customer satisfaction scores.
- Show the ROI: Use case studies and industry benchmarks to illustrate the potential return on AI investments. If possible, run a small pilot and show real results.
- Address Concerns Head-On: Be prepared for questions about job displacement, data privacy, and ethical considerations. Remember from last week’s blog, you should ensure your legal eagle and procurement pro are part of your AI council for just these occasions.
- Paint a Picture of the Future: Help stakeholders visualize what success looks like. Use storytelling to bring your AI-powered future to life.
The Bottom Line
Creating an AI roadmap isn't just about adopting shiny new tech. It's about fundamentally rethinking how you approach your marketing challenges. It's a journey that requires vision, persistence, and a willingness to learn from both your successes and failures.
Will it be easy? Nope. Will you hit some roadblocks along the way? Absolutely. Will it be worth it when you're running circles around your competitors with your AI-powered marketing machine? You bet it will.
So, are you ready to chart your course to AI marketing mastery? Or are you going to let your competition leave you in their AI-powered dust?
The choice is yours. Choose wisely. And if you need a co-pilot on this journey, well, you know where to find us.
---
Stay tuned for next week's post, where we'll dive into overcoming challenges in AI adoption. We'll explore common hurdles and how to leap over them like a marketing ninja.
About the author
Service page feature
Artificial intelligence
You've assembled your AI task force, gotten your hands dirty with some actual AI tools, and maybe even impressed your boss with a ChatGPT-generated email that didn't sound like a robot wrote it. Kudos! But now comes the real challenge: figuring out how AI fits into your operational marketing strategy.
It's time to conduct an AI impact analysis and create a roadmap to make even the most skeptical stakeholders or team members sit up and notice.
Step 1: Assess Your Current AI Landscape
Before you can chart a course, you need to know your starting point. Time for some honest self-reflection:
- Audit Your Tech Stack: What AI capabilities do your current tools have? Are you using them? (Be honest – we won't judge if that fancy AI-powered tool is just gathering digital dust.)
- Evaluate Your Team's AI Literacy: Remember that survey you did a few weeks ago? Time to revisit it. How comfortable is your team with AI now?
- Review Your Data Situation: Is your data clean, accessible, and compliant with privacy policies? Or is it a digital junk drawer?
- Identify Current AI Use Cases: Where are you already using AI, even if it's just dipping your toes in the water?
Pro Tip: Involve your entire AI council in this assessment. Remember those curious, passionate folks you recruited? Time to put them to work!
Step 2: Dream Big (But Realistically)
Now for the fun part – imagining the possibilities. But remember, we're not writing science fiction here.
- Brainstorm Potential AI Use Cases: Get your team together and let the ideas flow. No idea is too wild at this stage. Well, except for that AI-powered coffee maker that reads your mind. That's just creepy.
- Prioritize Your Ideas: Use a simple matrix: Impact vs. Feasibility. High impact, high feasibility? That's your sweet spot.
- Set Clear Objectives: What do you want AI to help you achieve? Be specific. "Make more money" is not an objective. "Increase email open rates by 15% using AI-generated subject lines" is.
Remember: The goal isn't to replace your team with AI, but to supercharge their capabilities.
Step 3: Map Your AI Journey
Time to turn those dreams into a concrete plan. Your AI roadmap should include:
- Short-term Wins (3-6 months): Quick, achievable projects that show immediate value. Think AI-powered A/B testing for landing pages or using your preferred AI tool to draft social media posts.
- Mid-term Goals (6-12 months): More complex projects that require some groundwork. Maybe it's implementing an AI-driven customer segmentation model or creating a chatbot that doesn't make your customers want to throw their devices out the window.
- Long-term Vision (1-3 years): The big, transformative stuff. This could be fully personalized, AI-driven customer journeys or predictive analytics that make you feel like a marketing psychic.
For each stage, clearly outline:
- Specific projects and their objectives
- Required resources (budget, tools, people)
- Potential roadblocks and how to overcome them
- Success metrics
Pro Tip: Don't forget to include ongoing training and upskilling in your roadmap. AI moves fast, and you don't want your team to be left in the digital dust.
Step 4: Get Buy-In (And Budget)
You've got your roadmap. Now you need to sell it to the powers that be. Here's how:
- Speak Their Language: Translate your AI initiatives into business outcomes. Instead of talking about implementing natural language processing, talk about improving customer satisfaction scores.
- Show the ROI: Use case studies and industry benchmarks to illustrate the potential return on AI investments. If possible, run a small pilot and show real results.
- Address Concerns Head-On: Be prepared for questions about job displacement, data privacy, and ethical considerations. Remember from last week’s blog, you should ensure your legal eagle and procurement pro are part of your AI council for just these occasions.
- Paint a Picture of the Future: Help stakeholders visualize what success looks like. Use storytelling to bring your AI-powered future to life.
The Bottom Line
Creating an AI roadmap isn't just about adopting shiny new tech. It's about fundamentally rethinking how you approach your marketing challenges. It's a journey that requires vision, persistence, and a willingness to learn from both your successes and failures.
Will it be easy? Nope. Will you hit some roadblocks along the way? Absolutely. Will it be worth it when you're running circles around your competitors with your AI-powered marketing machine? You bet it will.
So, are you ready to chart your course to AI marketing mastery? Or are you going to let your competition leave you in their AI-powered dust?
The choice is yours. Choose wisely. And if you need a co-pilot on this journey, well, you know where to find us.
---
Stay tuned for next week's post, where we'll dive into overcoming challenges in AI adoption. We'll explore common hurdles and how to leap over them like a marketing ninja.
Resources
About the author
Service page feature
Artificial intelligence
AI roadmap for marketers: How we grew out of 'random acts'
Speakers
Other helpful resources
You've assembled your AI task force, gotten your hands dirty with some actual AI tools, and maybe even impressed your boss with a ChatGPT-generated email that didn't sound like a robot wrote it. Kudos! But now comes the real challenge: figuring out how AI fits into your operational marketing strategy.
It's time to conduct an AI impact analysis and create a roadmap to make even the most skeptical stakeholders or team members sit up and notice.
Step 1: Assess Your Current AI Landscape
Before you can chart a course, you need to know your starting point. Time for some honest self-reflection:
- Audit Your Tech Stack: What AI capabilities do your current tools have? Are you using them? (Be honest – we won't judge if that fancy AI-powered tool is just gathering digital dust.)
- Evaluate Your Team's AI Literacy: Remember that survey you did a few weeks ago? Time to revisit it. How comfortable is your team with AI now?
- Review Your Data Situation: Is your data clean, accessible, and compliant with privacy policies? Or is it a digital junk drawer?
- Identify Current AI Use Cases: Where are you already using AI, even if it's just dipping your toes in the water?
Pro Tip: Involve your entire AI council in this assessment. Remember those curious, passionate folks you recruited? Time to put them to work!
Step 2: Dream Big (But Realistically)
Now for the fun part – imagining the possibilities. But remember, we're not writing science fiction here.
- Brainstorm Potential AI Use Cases: Get your team together and let the ideas flow. No idea is too wild at this stage. Well, except for that AI-powered coffee maker that reads your mind. That's just creepy.
- Prioritize Your Ideas: Use a simple matrix: Impact vs. Feasibility. High impact, high feasibility? That's your sweet spot.
- Set Clear Objectives: What do you want AI to help you achieve? Be specific. "Make more money" is not an objective. "Increase email open rates by 15% using AI-generated subject lines" is.
Remember: The goal isn't to replace your team with AI, but to supercharge their capabilities.
Step 3: Map Your AI Journey
Time to turn those dreams into a concrete plan. Your AI roadmap should include:
- Short-term Wins (3-6 months): Quick, achievable projects that show immediate value. Think AI-powered A/B testing for landing pages or using your preferred AI tool to draft social media posts.
- Mid-term Goals (6-12 months): More complex projects that require some groundwork. Maybe it's implementing an AI-driven customer segmentation model or creating a chatbot that doesn't make your customers want to throw their devices out the window.
- Long-term Vision (1-3 years): The big, transformative stuff. This could be fully personalized, AI-driven customer journeys or predictive analytics that make you feel like a marketing psychic.
For each stage, clearly outline:
- Specific projects and their objectives
- Required resources (budget, tools, people)
- Potential roadblocks and how to overcome them
- Success metrics
Pro Tip: Don't forget to include ongoing training and upskilling in your roadmap. AI moves fast, and you don't want your team to be left in the digital dust.
Step 4: Get Buy-In (And Budget)
You've got your roadmap. Now you need to sell it to the powers that be. Here's how:
- Speak Their Language: Translate your AI initiatives into business outcomes. Instead of talking about implementing natural language processing, talk about improving customer satisfaction scores.
- Show the ROI: Use case studies and industry benchmarks to illustrate the potential return on AI investments. If possible, run a small pilot and show real results.
- Address Concerns Head-On: Be prepared for questions about job displacement, data privacy, and ethical considerations. Remember from last week’s blog, you should ensure your legal eagle and procurement pro are part of your AI council for just these occasions.
- Paint a Picture of the Future: Help stakeholders visualize what success looks like. Use storytelling to bring your AI-powered future to life.
The Bottom Line
Creating an AI roadmap isn't just about adopting shiny new tech. It's about fundamentally rethinking how you approach your marketing challenges. It's a journey that requires vision, persistence, and a willingness to learn from both your successes and failures.
Will it be easy? Nope. Will you hit some roadblocks along the way? Absolutely. Will it be worth it when you're running circles around your competitors with your AI-powered marketing machine? You bet it will.
So, are you ready to chart your course to AI marketing mastery? Or are you going to let your competition leave you in their AI-powered dust?
The choice is yours. Choose wisely. And if you need a co-pilot on this journey, well, you know where to find us.
---
Stay tuned for next week's post, where we'll dive into overcoming challenges in AI adoption. We'll explore common hurdles and how to leap over them like a marketing ninja.