Driving Machine Learning Adoption through KPIs and Training PPT

This PPT slide, part of the 23-slide Key Performance Indicator (KPI) Strategies: Part 2 PowerPoint presentation, presents insights into the adoption of machine learning (ML) and automation in marketing, segmented by organizational capability in measurement. It highlights 2 key questions: the presence of incentives or KPIs for using automation and ML, and the investment in skills or training to enhance marketing effectiveness through these technologies.

The first chart indicates that a significant majority of organizations classified as "Measurement Leaders" (77%) have internal incentives to adopt automation and ML, compared to only 49% of those identified as "Measurement Challenged." This disparity suggests that organizations with robust measurement practices are more proactive in leveraging technology for marketing purposes. The data also shows that a smaller percentage of "Measurement Challenged" organizations (21%) affirm having such incentives, which may hinder their ability to effectively utilize automation and ML.

The second chart illustrates the investment in new skills or training for marketing in 2018. Here, 84% of "Measurement Leaders" reported such investments, while only 33% of "Measurement Challenged" organizations did the same. This stark contrast underscores the importance of not just having the technology, but also ensuring that teams are equipped with the necessary skills to maximize its potential.

Overall, the slide emphasizes that organizations with strong measurement capabilities are significantly more likely to adopt and invest in ML and automation, suggesting a correlation between measurement practices and technological advancement in marketing. This insight can guide potential customers in assessing their own capabilities and the need for strategic investments in technology and training.

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KPI Machine Learning Purpose