US: Marketo, the leading provider of engagement marketing software and solutions, today announced it is working with Google Cloud, as part of the multiyear alliance announced last year, to create new products to empower marketers by using Artificial Intelligence (AI). Leveraging Google Cloud’s machine learning technology, Marketo is working with Google’s experts to create new offerings that improve the speed, scale and effectiveness of campaigns by enabling marketers to better personalize and segment their audiences. The collaboration will be discussed on stage at Marketing Nation Summit, Marketo’s annual conference.
The Marketo Engagement Platform currently manages nearly half a trillion interactions every year. To make these interactions even smarter, Marketo is using Google Cloud machine learning to empower marketers to tap into even more of their own data, and interpret insights without the need of data scientist.
“We are thrilled to have Marketo on Google’s Cloud Platform and look forward to better serving both them and their customers with secure real-time engagement as only Google Cloud can do,” said Diane Greene, chief executive officer, Google Cloud. “Moreover, we are also working with Marketo to bring our machine learning capabilities into the Marketo platform. We anticipate this being a significant and highly valued part of the next stage of their product offering.”
At Marketing Nation Summit, Lucas will discuss Marketo AudienceAI, an innovation the two companies are working on for Marketo’s platform, that will use Google Cloud machine learning technology to identify an expanded set of target contacts from a marketers’ own database, based on historical lead conversion patterns. Just as Marketo ContentAI selects the next piece of content of interest to a customer, based on their previous choices, Marketo AudienceAI will find lookalike audiences in the marketer’s database that have a high likelihood of conversion, to expand campaign reach in a relevant way.
“Marketo AudienceAI will take the guesswork out of segmentation, helping marketers do in seconds what would normally take months or quarters of rigorous analysis led by data scientists,” added Lucas.