ActiveCampaign Introduces Predictive Content, A ML Feature That Predicts The Most Engaging Email For Each Individual in an Audience

Predictive Content released in beta for all Professional and Enterprise ActiveCampaign Customers

ActiveCampaign, the leader in Customer Experience Automation, announced Predictive Content, a new machine learning feature that predicts the most engaging message for each individual being emailed based on only a handful of user inputs. The product is now available in beta for ActiveCampaign’s Professional and Enterprise customers.

This is ActiveCampaign’s second Predictive product powered by its machine learning technology, which now makes over 1 million predictions per day, up from 1 million per month when Predictive Sending launched in May earlier this year.

Read More: Microsoft and Cisco to Allow Interoperability Between Their Meeting Rooms; Collaborates on SD-Wan and Cloud Connectivity

Predictive Content aims to improve email performance beyond A/B split testing technology used most frequently by email marketing and marketing automation providers by modeling, predicting, and sending the content each individual within an audience is most likely to enjoy.

Its machine learning technology utilizes a dataset of nearly 2 million words spanning 300 unique dimensions, or ways to look at those words. The model is able to identify and adjust over time whether or not an individual likes long or concise emails, prefers a serious or fun tone, the topics they engage with most, and much more without requiring input from ActiveCampaign customers.

ActiveCampaign customers simply launch Predictive Content from within Email Designer, where they can create up to five different versions of an email. Once triggered to send, Predictive Content automatically builds a preference profile of each person receiving the email and matches one email version to each person, ensuring optimal engagement.

Read More: aBey Blockchain Co-Creator Dr. Ciprian Pungila Delivers Keynote Address on Opening Day of Malta Blockchain Summit 2019

“I’m constantly thinking about how I can build my brand and give my customers more of what they want,” said Deanna Griffin, founder of Proze. “Existing marketing platforms only allow you to A/B split test and then send the ‘winning’ message to everyone even if some people engage more with the ‘losing’ message. I’m very excited about the potential of Predictive Content to help me learn what is most engaging to my customers and give me the ability to send the right message to each individual instead of just sending one message to everyone.”

“The customer experience, end-to-end, is full of precious encounters that any one individual can have with your brand” said Jason VandeBoom, Founder & CEO of ActiveCampaign. “Predictive Content will allow businesses to generate communications that are curated specifically for an individual and continue to learn over time, going beyond a typical split-test to add an element of personalization that ultimately brings the business and the customer closer together.

Read More: 6 Unexpected Uses For Artificial Intelligence