Oracle Marketing Recommendations makes use of contextual and historical customer data and applies machine learning to identify and serve the right item—whether a service, product, or piece of content. The customer experience can be personalized automatically at the individual level, starting from the beginning of their journey from a homepage, a category or listings page, all the way through to product detail pages and checkout.
Within the digital marketing world, agencies and brand owners are racing to explore how they can leverage the full potential of artificial intelligence (AI) and machine learning (ML) in order to reach their marketing goals. In fact, according to one estimate, 84 percent of marketing organizations are implementing or expanding their AI and ML programs in 2019. And for good reason – initial results show that machine learning can help to boost customer satisfaction, increase...
Companies should pour more energy into finding ways to have their high-priced talent working on things that add real measurable dollar-generating value. Value like the kind that’s produced by giving your marketing team the tools they can use to infuse their campaigns with the ability to engage with more relevance and precision micro-target audiences in order to accelerate sales. find out how AI and machine learning can help.
In the digital era, marketing success demands that teams stay up to date on the latest technologies and tools and take the fullest advantage of them when planning and executing their campaigns. However, marketers need to understand the tools they use in order to unlock their greatest potential and achieve stronger results. Find out how to properly facilitate this process.
Marketing automation can help with marketing and sales alignment. Marketing can use automation software to create email templates for sales to use for more consistent messaging, better sharing of data, and an improved customer experience.
Consolidating to a single, unified marketing automation platform helps you: scale, segment data for effective campaigns, and develop programs to give customers targeted content. Read on to see how you can further benefit.
To help deal with increasing volumes of engagement data, Oracle Responsys recently introduced a new feature called RFM that will help you address these challenges. RFM stands for Recency, Frequency and Monetary analysis, and is a customer segmentation model that hypothesizes that customers who engage or purchase more recently and frequently, and spend more, are more likely to respond positively to future promotional offers.
Paring down to a single, unified instance or Oracle Eloqua helps simplify your systems, allows you to scale and build a new demand funnel and scoring model, and deliver the right information to the right customers at the right time. Read on to find out what other efficiency gains you can make.