1、In a Nutshell:Executive SummaryMethodologyKey Finding 1 AI Ambitions and Obstacles Are Universal in MarketingKey Finding 2Marketing and Data Science Alignment is ElusiveKey Finding 3Despite Data Efforts,Many Marketers Feel Guesswork Guides DecisionsKey Finding 4Goodbye Actionable Insights Marketers

2、Crave Impactful Predictions Specific to KPIsKey Finding 5Prove Marketing ROI Efficiently With New AI ApproachesAdditional ResourcesAbout PecanTable of Contents345811131519182In a Nutshell:Executive SummaryThe idea of looking into the future is beguiling.Thats especially true for marketing teams,who

3、must anticipate customers interests and behavior to achieve their goals.Yet,despite the growing availability of AI-powered technologies that bring that knowledge of the future within grasp,many marketers are still in the early days of formulating their AI strategies.Theyre seeking more value and res

4、ults from their experimentation with AI.Our survey of 250 U.S.marketing executives at companies with a minimum annual revenue of$100M shows that while interest in the potential of AI-based predictive analytics is quite strong,marketing teams face various challenges in fully adopting this technology.

5、With no universal playbook available for integrating data science into marketing,various approaches have evolved,with varying success levels.The survey findings reflect this complex situation,but they also provide inspiration for marketing teams and leaders tackling challenges with AI,regardless of

6、where they might be on the adoption curve.Our survey results reveal that?All 250 respondents wanted to gain additional AI-powered capabilities and predictive insights for their teams,but all of them also faced difficulties.Those difficulties largely revolved around data organization and quality,cost