If you want to stay on top of modern marketing, understanding customers and tracking valuable data is essential. To improve marketing performance and sales, machine-learning (ML) technology can help automate the process. Mordor Intelligence predicts that the marketing automation software market will reach $19.66 billion by 2026.
ML algorithms can be used in marketing analytics, content marketing, advertising, SEO, account-based marketing, dynamic websites, and branding. It can help analyze customer data, select and analyze topics, create relevant ads, optimize content, and make predictions. AI-assisted account-based marketing can increase corporate revenue by up to 40% a year. ML tools are estimated to improve business productivity by up to 40%.
Machine-learning is a core part of modern marketers' strategy. To learn more, podcasts, infographics, and articles are available on the subject. By implementing ML technology, businesses can better understand their customers and improve their marketing efforts.
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Marketing Automation: Seven Machine-Learning Use Cases
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