Marketing with AI For Dummies

Chapter 23

Tens Pitfalls to Avoid When Marketing with AI

IN THIS CHAPTER

Giving up your rights to review AI output

Letting AI run the marketing show

Setting marketing goals that ignore trends and long-term wins

As I discuss throughout the book, integrating artificial intelligence (AI) into marketing holds the promise of transforming operations, all the way from strategic planning to evaluating campaign metrics, and everything in between. But be aware that you must avoid specific pitfalls to unlock the full potential of AI across these marketing domains. In this chapter, you can find out about ten pitfalls — tied directly to marketing activities — that marketers should avoid.

Ignoring Qualitative Insights

AI shines (is really good) when studying and analyzing extensive quantitative data sets, such as market trends, consumer behavior patterns, and sales performance metrics. AI models offer invaluable data-driven insights for marketers. But relying exclusively on quantitative analysis poses the risk of potentially overlooking the rich, nuanced insights that qualitative data provides. Integrating qualitative research, such as customer interviews, focus groups, and ethnographic studies, ...