The Role of AI in Marketing A Conversation with Katie Robert 21

AI-Driven Pumpkin Spice

This data was originally featured in the August 30, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/08/inbox-insights-august-30-2023-foundations-of-innovation-ai-driven-pumpkin-spice/.

This week, it’s pumpkin spice season! Well, specifically, it’s the peak of search inquiries about all things pumpkin spice. However, we’re going to do things slightly differently this year, rather than just our usual roundup. That’s a good place to start though; using our basket of common pumpkin spice-related search terms, let’s see what the actuals and forecast look like for 2023:

Pumpkin spice search volume

What we can observe, especially with the dark trend line, is that after the first year of the pandemic, all things pumpkin spice have been ascendant. Searches have increased year over year.

Now, that’s helpful to understand; certainly, if we were a merchant interested in selling pumpkin spice-related merchandise, this would help us understand the timing of when to push our marketing hardest. But suppose we wanted to understand things at a more granular level? Maybe we were in charge of SEO for the merchant – what keyword anomalies could we spot in the data?

There are innumerable ways to do anomaly detection in a dataset, and trying them all could be pointless. What’s a data-driven marketer to do? Ask an AI, of course. We took our dataset and loaded it into ChatGPT’s Advanced Data Analysis module (formerly Code Interpreter) and asked it for its suggestions:

ChatGPT Output

While I instinctively leaned towards ARIMA-based methods, it was nice to see the machinery make similar recommendations. I then asked it to draft the code, modified it to work the way I wanted it to, and this is what it came up with:

ARIMA-based anomaly detection

What’s interesting here is the dramatic jump in basic informational queries like “what is psl”. For content marketers looking for an advantage, this might be one way to identify popular but underserved topics in any domain, then produce content for that topic rapidly.

Our generative AI tools are good at more than just cranking out content. With the more sophisticated data analysis capabilities built into many of them, they can be powerful allies for analytics as well.


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Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

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The Role of AI in Marketing A Conversation with Katie Robert 21
Pumpkin spice search volume
ChatGPT Output
ARIMA-based anomaly detection
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