Real-world chat data suggests marketers use MarTechBot to enhance marketing activities, marketing operations, strategy and other tasks.
MarTech.org launched MarTechBot, the first generative AI chatbot for marketing technology professionals in May 2023. A June analysis of the first 600 MarTechBot prompts revealed users chiefly derived value from generative/creative tasks, while also using MarTechBot to help them unravel a variety of marketing dilemmas.
Since then, MarTechBot responded to another 1,500 prompts — making it high time for another round of intent analysis.
With so much content to review, we used ChatGPT’s formidable data analysis capabilities to help us better understand the themes, message, and usage.
Before jumping in, you may have noticed a new button on MarTech.org posts — just next to the sharing buttons above is a new “Chat with MarTechBot” option. Clicking that will open MarTechBot and allow you to start messaging immediately. If you want to access the full set of customized personas or the image generator, those are all available as well.
Breakdown of common chat themes
Unsurprisingly, most of the prompts MarTechBot fielded were focused on a variety of marketing-related topics. Here are the common themes and representative prompts from MarTechBot users:
Theme No. 1: General marketing. Universal marketing challenges were the catalyst for most of these queries. Terms like “”content,”‘ “email” and “digital”‘” were frequently mentioned.
Prompts:
- “Can you suggest effective content marketing strategies for a B2B audience?”
- “What are the best practices for designing email marketing campaigns?”
- “How can I integrate digital advertising into my existing marketing mix?”
Theme No. 2: Data and technology. Words like “data,” “technology” and “platform” were used frequently, indicating discussions about data management and technological solutions in marketing.
Prompts:
- “How do I leverage data analytics to improve my marketing efforts?”
- “What are the latest technological advancements in marketing automation?”
- “Can you recommend a platform for integrating various marketing tools?”
Theme No. 3: Customer centricity: Terms like “customer” and “CDP” highlight a focus on customer data and relationships.
Prompts:
- “What methods can I use to better understand my customer’s needs?”
- “How do I utilize a Customer Data Platform (CDP) for personalized marketing?”
- “What are the best tactics for improving customer retention and loyalty?”
Theme No. 4: Marketing operations: Words like “MOps,” “operations,” “create” and “need” suggest operational discussions, possibly around how to implement or utilize marketing technologies.
Prompts:
- “What are the essential steps to implement a new marketing technology?”
- “How can I use data-driven insights to create more effective marketing plans?”
- “What do I need to consider when choosing a vendor for marketing technology solutions?”
Exploring non-marketing chats
Some sessions had nothing to do with marketing. Users were curious about MarTechBot’s capabilities, and asked questions like, “How does MarTechBot generate images?” and general inquiries like, “What can you tell me about this site?” There were several prompts about meal prep, poetry, leadership, hiring and creative thinking as well.
While MarTechBot is trained on MarTech.org content, it’s important to remember it’s built on top of OpenAI’s ChatGPT. As a result, responses to prompts are informed by MarTech’s content, but MarTech is fully capable of discussing any range of topics.
User satisfaction and suggestions
Feedback has been largely positive, with accolades for MarTechBot’s accuracy and relevance.
“Really surprised with how effective it is! Will use it more, for sure. Can you confirm for me that it’s JUST Martech.org content it’s trained on? And how much data that is?”
(Editors note: MarTech.org archives include approximately 24,000 pieces of content.)
“Great for marketers but need to make the bot more efficient if you are willing to develop it as an MVP!”
“I requested help in writing a 15-second script incorporating our marketing theme and it actually did a pretty good job of creating something usable. Being the human that I am, I did make revisions to help it fit the timeframe and our brand. Very interesting concept.”
(Editors note: It’s always important to review any LLM’s output, regardless of how sophisticated your prompt might be or how impressive the output seems.)
However, there were also suggestions for improvements like expanding MarTechBot’s knowledge base, which demonstrates the evolving expectations users have for AI-driven tools. There were also requests for more capabilities, to make the bot faster, and for additional use cases.
Implications for marketing professionals
The variety of prompts and inquiries demonstrates that marketing tools need to be versatile and comprehensive. The examples above should provide you with some ideas to try for yourself. That’s why, along with offering free access to MarTechBot, we regularly feature Best of the MarTechBot articles to give you additional insight into how to improve your prompt writing.
As always, it’s critical to remember generative AI-authored responses are imperfect. Outputs can be incorrect or a complete fabrication. Even as the technology improves, it’s best practice to validate and confirm any outputs you get from any LLM, MarTechBot included.
Methodology of analyzing user interactions
The analysis of MarTechBot interactions offers a fascinating window into the evolving relationship between marketing professionals and AI technology. As MarTechBot continues to evolve, it is poised to play an even more significant role in shaping marketing strategies and operations.
Our analysis draws from a dataset of user interactions with MarTechBot including 2,151 total chat interactions pulled from the MarTechBot’s log files. We manually cleaned up the file and uploaded it to ChatGPT. The AI helped reveal the core themes, common words, and patterns hidden in the data. We manually validated as much as possible but cannot guarantee there isn’t some amount of hallucination included in the results.
We welcome your thoughts and experiences with MarTechBot or similar AI tools. How do you envision the future of AI in marketing? Share your insights and join the conversation.
What’s next for MarTechBot?
Following our sister site Search Engine Land’s launch of SearchBot, we’ve recently upgraded MarTechBot similarly with several pre-contextualized personas that reflect the types of roles marketers want to talk with: CMO, product marketing, email marketing, etc. We’ve also released a powerful image generator, allowing you to easily experiment and let your creativity soar. It’s all free and available now with no registration required. Give MarTechBot a try!
The post A deep dive into how marketers use MarTechBot appeared first on MarTech.
About the author
Marc serves as Third Door Media’s EVP of Product & Technology. He is a twenty+ year digital marketer with a proven track record of revenue & digital fundraising growth. He’s led high-growth change at a wide range of organizations, helping companies ranging from startups to large enterprises.
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