“I would encourage new professionals to understand that data science is a bit like medicine — it’s a vast and vague term that encapsulates wildly different practices under one roof,” says Tal Kedar, CTO at Optimove. “Data scientists [can have] very different engineering skill sets [and be] experienced with very different platforms and tools.”
“Most companies view segmentation as a method of clustering similar customers together at a given point in time. Imagine harnessing the power of AI to map the journey that each customer has taken to reach his or her present segment,” says Pini Yakuel, founder and CEO of Optimove.
“While your local neighborhood store can keep track of their few customers and get to know them personally, larger brands like Ulta need to rely on data and AI to achieve this human touch. That’s personalization at-scale. We’ve seen Ulta learn this lesson.” – Pini Yakuel, CEO of Optimove
Brands should use the technology available to them (AI, chatbots, etc.) to create emotionally intelligent communication with their customers. – Pini Yakuel, Optimove
AI should, and will, only enhance content marketers’ performance. The human element is and will remain crucial — using AI for content marketing without human oversight will lead to a reduced level of writing and editing, which will be easily spotted by readers.
Communicating with each customer where and when they’re most likely to respond is really the most efficient way to build a campaign, where the art of marketing is supported by data science. – Pini Yakuel, Optimove