The future of machine learning (ML) in digital marketing strategy is likely to involve even more advanced and sophisticated use of data analysis and automation. Some of the ways in which ML is expected to shape the future of digital marketing include:

1. Predictive analytics: ML will enable marketers to predict customer behavior and analyze data to identify patterns and trends. This will help optimize marketing campaigns and target specific segments of customers more effectively.
2. Real-time personalization: ML will allow marketers to personalize content and offers in real-time based on customer interactions and behavior.
3. Natural Language Processing (NLP): ML techniques such as NLP will enable chatbots and other digital assistants to understand and respond to customer queries in a more human-like way.
4. Video and image recognition: ML will enable digital marketers to automatically extract insights from visual and video content, like images and videos, which can be used to personalize ad campaigns and improve targeting.
5. Automation: Machine learning will play a key role in automating repetitive and time-consuming digital marketing tasks, such as creating and optimizing ads, managing social media accounts, and analyzing data.
6. Attribution: ML will be able to accurately attribute conversions and revenue to the right marketing channel and campaigns, which can help optimize the marketing budget and resources.

Overall, the future of ML in digital marketing is promising, and it will continue to bring new opportunities for optimizing and automating marketing efforts, providing a better customer experience and a more accurate measurement of the ROI.