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AI is creating unprecedented capabilities for data analysis, customer insights, and campaign automation. Imagine being able to ask complex questions about your data and receive actionable insights within seconds, or having your marketing platform automatically generate personalized campaigns based on past performance.

Whether it’s interpreting a screenshot of a chart or generating insights from columnar data, ChatGPT data analysis capabilities continue to improve. The true power of AI for marketers will come in the form of integrating these capabilities into the tools you use every day. For example:

  • Analytics platforms such as Google Analytics, Amplitude, and others will incorporate AI so you can ask questions about the data without needing to interpret it.
  • Marketing platforms such as HubSpot will likely bake AI into list-building and automation. Imagine HubSpot magically creating a win-back campaign for you based solely on past results or what’s worked for other organizations.
  • CDPs (Customer Data Platforms) will allow you to ask questions about customers and then create actionable data sets for personalization or other campaign types.

These things are already being rolled out, and undoubtedly, teams are feverishly working on these features and more, either by creating their own Large Language Model (LLM) or tapping into existing ones.

At Cro Metrics, we’ve been thinking a lot about the future of AI and growth marketing and have been beta-testing our own efforts. We recently incorporated AI into our Iris Program Management and Analytics tools and created our own AI chatbots trained on years of test data. Being able to ask questions about this data will allow our teams to ensure we’re running experiments that are more likely to be winners.

You may be wondering what you can do right now to leverage AI and accelerate your own marketing. Here are three compelling use cases we at Cro Metrics are finding success with, and you can, too.

Data Analysis

While you’re waiting for your MarTech stack to integrate all things AI, give ChatGPT 4o a whirl to perform analysis.

  • Want to get recommendations from your metrics? Screenshot results from any analytics platform or BI tool and paste into ChatGPT. Give it some context like, “Imagine you are a web data analyst. It’s your job to tell a compelling narrative of a customer journey for [an e-commerce site who sells high-end adventure gear.]. Using this chart, how would you improve this with actionable insights that you can put into practice” (Obviously change the brackets to your organization.)

  • Learn more about how to experiment with customer segments. Export some customer data (CSV or Spreadsheet)  from your data warehouse or CDP. Ask it any questions you’d want to glean from the data. For example, “Based on this data set, what attributes are most common for first-time buyers that come from Paid Social campaigns?” 
  • Provide screenshots of your ads and landing pages (LPs), and ask for suggestions on how to improve the ad or LP to better match visitor intent.

We’ve used this technique to understand customer journeys. While it’s not going to give the entire story, it’s a great starting point. Context, depth, critical thinking, and creativity are still important elements of a human analyst, but these tactics can accelerate learning and offer perspectives we may not have considered.

One immediate concern you might have is data privacy. Consider using a corporate ChatGPT account (OpenAI won’t use the data you provide for training). 

Build Lists

Unquestionably, marketing platforms have good list segmentation capabilities, but you have to know what you want. What if you wanted to generate a list based on a query of, “from this list, create a list of recipients who based on the data, have the highest likelihood to make a repeat purchase within three months of their first purchase based on the attributes of those in the list who made repeated purchases within the first three months.”

Well, now you can! Of course, the data you’re asking for has to exist in the list, but you no longer need complex ML models and SQL to export list data. Simply extract your list from your CRM or ESP as a CSV, upload it, and start asking questions. Of course, always test!

Perform Market Research

Not surprisingly, AI can be great at market research—especially in analyzing customer sentiment about a vertical or product category. Such research, done regularly, can continue to shape marketing strategies. One of our favorite prompts:

I am a marketing strategist specializing in [your niche], aiming to enhance my online presence for more authentic connections with customers to drive greater conversions.

As an AI with expertise in language analysis and market research, your task is to analyze customer feedback from any and all review websites you can access, focusing on businesses in my industry.

Conduct a thorough examination of these reviews to extract and summarize the most common phrases and themes used by customers. These should reflect their experiences, concerns, satisfactions, and disappointments.

Present this information presented in a structured report format, including a breakdown of key phrases and themes, their frequency of appearance, and any notable patterns or insights.

This analysis will be instrumental in informing the messaging on my website, targeting my primary audience, which consists of [describe your target audience].

For instance, we’ve leveraged this prompt when our clients are entering a new market or launching a new product. Understanding customer sentiment is invaluable when creating positioning.

Verify the output

Of course, AI can get things wrong. It’s prone to bias and mistakes. Therefore it’s particularly important when asking it to analyze data to verify the output is correct and matches the inputs. If you catch an error, respond to the output in the prompt pointing out the error, the AI chatbot should be able to correct the analysis.  The more you treat the AI like a real person, the better results you’ll generally get from it.  So asking nicely, pointing out where things might be incorrect, etc. generally yields better results.


As AI continues to revolutionize the marketing landscape, staying ahead of the curve is crucial. By integrating AI into your marketing strategy now, you can streamline processes, uncover valuable insights, and enhance your overall effectiveness.

At Cro Metrics, we are committed to pushing the boundaries of AI in growth marketing. Our experiment-led approach ensures that every innovation is tested and proven to drive results. As we move forward, we’ll continue to explore how AI can make experimentation faster and more effective, helping you better understand and connect with your customers.

Don’t wait for the future—start leveraging AI today and transform your marketing efforts. Embrace the power of AI and unlock new levels of growth and success.