AI-Powered Marketing, Part 2: Understanding AI Marketing Tool Categories

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How do you skillfully introduce AI into your marketing campaigns so that you see real results?

In part 1 of this series, we met Anne, a midsize company CMO who had decided AI could help her team deliver better results. Now she faces a new challenge: sorting through an overwhelming array of AI marketing tools, each promising to revolutionize her operations. Her team needs solutions that work now, not science experiments. And with limited budget and IT resources, she canโ€™t afford to make a wrong choice.

After her team sat through several demos filled with buzzwords like โ€œAI-powered optimizationโ€ and โ€œintelligent automation,โ€ Anne realized they needed a systematic way to evaluate these tools. She developed a simple but effective framework built around three key questions:

1.ย ย ย ย ย ย  What specific problem are we trying to solve?

2.ย ย ย ย ย ย  How will we measure success?

3.ย ย ย ย ย ย  What resources do we actually have to implement and maintain this?

Vendors show amazing results in their case studies. Why wouldnโ€™t they? As a buyer, though, you need to focus on what you can realistically do with a tool given your specific situation.

Start with What You Have

Before you can decide how to embedded AI into your marketing campaigns and which tools to use, you have to know where you are. Youโ€™ll want to document the following:

ยทย ย ย ย ย ย  All marketing activities. Create a campaign inventory template that your team can contribute to.

ยทย ย ย ย ย ย  Team capabilities. Download a template or create your own for capturing the information. What further learning capacity does your team have?

ยทย ย ย ย ย ย  Your marketing tech stack. Include integration points, data sources, contract details, and team members using it.

ยทย ย ย ย ย ย  Current workflows and pain points. Beyond the steps and team member responsibilities, think about manual tasks that slow your team down, data analysis bottlenecks, and personalization opportunities.

Pro tip: Once youโ€™ve created these documents, plan to update them at least annually. Theyโ€™ll help you maintain a strong understanding of whatโ€™s really going on in your area and inform your strategies.

Next, youโ€™ll need to assess how much you can reasonably expect to accomplish. If your company doesn't have an AI strategy yet, meet with IT to discover any technical constraints. Most AI tools will need to work within your existing system. The older your system, the more consideration youโ€™ll need to put into choosing your tools.

Also research:

ยทย ย ย ย ย ย  Available budget for both direct and indirect costs

ยทย ย ย ย ย ย  Needed training time and resources

ยทย ย ย ย ย ย  Data quality and accessibility

With all this information, youโ€™re ready to define your tool needs.

Classify Your Needs

Anneโ€™s initial research revealed four basic categories of marketing AI, as shown in the table.

Category

Benefits

Best For Companies Thatโ€ฆ

Standalone automation

ยทย ย ย ย ย ย  Quick to implement

ยทย ย ย ย ย ย  Minimal IT support needed

ยทย ย ย ย ย ย  Lower cost entry point

ยทย ย ย ย ย ย  Easier to test and validate

ยทย ย ย ย ย ย  Are just starting with AI

ยทย ย ย ย ย ย  Need quick wins

ยทย ย ย ย ย ย  Have limited IT resources

ยทย ย ย ย ย ย  Want to automate specific tasks

Integrated automation

ยทย ย ย ย ย ย  Works with existing systems

ยทย ย ย ย ย ย  More sophisticated features

ยทย ย ย ย ย ย  Central data management

ยทย ย ย ย ย ย  Better workflow integration

ยทย ย ย ย ย ย  Have a solid tech stack

ยทย ย ย ย ย ย  Need to scale AI usage

ยทย ย ย ย ย ย  Have some IT support

ยทย ย ย ย ย ย  Want to improve existing processes

Standalone machine learning

ยทย ย ย ย ย ย  Powerful analytical capabilities

ยทย ย ย ย ย ย  Highly customizable

ยทย ย ย ย ย ย  Deep insights possible

ยทย ย ย ย ย ย  More control over the AI

ยทย ย ย ย ย ย  Have data science expertise

ยทย ย ย ย ย ย  Need custom solutions

ยทย ย ย ย ย ย  Have clean, extensive data

ยทย ย ย ย ย ย  Can dedicate resources to AI

Integrated machine learning

ยทย ย ย ย ย ย  Enterprise-grade capabilities

ยทย ย ย ย ย ย  Managed AI features

ยทย ย ย ย ย ย  Comprehensive solutions

ยทย ย ย ย ย ย  Regular updates and improvements

ยทย ย ย ย ย ย  Have larger budgets

ยทย ย ย ย ย ย  Need advanced features

ยทย ย ย ย ย ย  Want managed solutions

ยทย ย ย ย ย ย  Can handle complex implementations

ย Vendors donโ€™t always make these distinctions clear. Theyโ€™re selling features, not explaining what it would actually take to implement and maintain their solutions. Take the time to understand these categories to ensure you have the right resources and youโ€™ve minimized the risks. Choosing the wrong category can result in too much complexity to manage or too little capability to make a real difference.

Next Step: Build a Better Evaluation

At this point, youโ€™ve defined exactly where you are and taken the first step of defining your needs. In the conclusion of this series, youโ€™ll develop an evaluation framework for specific tools and learn how to:

ยทย ย ย ย ย ย  Create a practical assessment framework

ยทย ย ย ย ย ย  Identify red flags to watch for

ยทย ย ย ย ย ย  Focus your evaluation process

Stay tuned!


Erin Brenner is the owner of Right Touch Editing, a boutique editorial agency that specializes in helping small and midsizeย businesses to be more engaging with their audiences, more persuasive in their marketing, and clearer and more precise in their communications.

Erin is also the author of The Chicago Guide for Freelance Editors: How to Take Care of Your Business, Your Clients, and Yourself from Start-Up to Sustainability, Marketing Yourself Guide (with Sarah Hulse), Copyeditingโ€™s Grammar Tune-Up Workbook, and 1001 Words for Success: Synonyms, Antonyms & Homonyms. She is an Advanced Professional Member of the Chartered Institute for Editing and Proofreading and a Full Member of ACES. Follow her on LinkedIn and Bluesky.

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