Personalized marketing, or one-to-one marketing, is a marketing strategy by which companies leverage data analysis and digital technology to deliver individualized messages and product offerings to current or prospective customers. Advancements in data collection methods, analytics, digital electronics, and digital economics, have enabled marketers to deploy more effective real-time and prolonged customer experience personalization tactics.
Beginning in the early 1990s, web developers began tracking HTML calls that their websites were receiving from online visitors. This led to the 1993 founding of Webtrends, which is widely considered the first commercial web analytics solution. In 2012, the Web Analytics Association (WAA) officially changed its name to the Digital Analytics Association (DAA) in order to accommodate new and developing data streams that exist in addition to the web.
Personalized marketing is dependent on many different types of technology for data collection, data classification, data analysis, data transfer, and data scalability. Technology enables marketing professionals to collect first-party data such as gender, age group, location, and income and connect them with third-party data like click-through rates of online banner ads and social media participation.
Data Management Platforms: A data management platform (DMP) is a centralized computing system for collecting, integrating and managing large sets of structured and unstructured data from disparate sources. Personalized marketing enabled by DMPs, is integral to consumers receiving relevant, timely, engaging, and personalized messaging and advertisements that resonate with their unique needs and wants. Growing number of DMP software options are available including Adobe Systems Audience Manager and Core Audience (Marketing Cloud) to Oracle-acquired BlueKai, Sitecore Experience Platform and X+1.