Personalization and Machine Learning for Social and Search

Rating
4
Level
Intermediate
Type
Strategy & Planning
Duration
38 min
Topic
Social Media Marketing
 

Personalized search is now being used in major social media platforms that tailor social media profiles to their users. Because of social media profile personalization, marketing messages may not be reaching the audience you thought were seeing them. However, social data can be analyzed and refined in order to break through the social personalization filters and reach your audience on social media. While the major social media platforms (Facebook, LinkedIn, Twitter, Youtube, Google+ and Pinterest) are personalizing user profiles, marketers can create a plan to reach social users effectively. This search and social media marketing class, Personalization and Machine Learning for Social and Search, instructed by Katherine Ong, shows how marketers can create data driven strategies that break through personalization filters and reach the target audience on social.

You Will Learn

  • How to breakthrough the search or social filter to reach your target audience
  • How schema, semantic web and machine learning make personalization possible
  • Why marketers need to use data to craft marketing messages and plans that will be effective.
Instructor: Katherine Ong

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My OMI subscription makes it easy for me to stay on top of what's working now in digital. As a small business marketer, I wear many hats — from managing email, to search, to social media, and more — and thanks to my OMI subscription, I am able to successfully execute these campaigns and increase sales for my company and my clients.   

Anna Lucia Novak

Small Business Marketing Consultant