Personalized marketing, also known as one-to-one marketing or individual 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.
The Daily Me is a term popularized by MIT Media Lab founder Nicholas Negroponte to describe a virtual daily newspaper customized for an individual's tastes. Negroponte discusses it in his 1995 book, Being Digital, referencing a project under way at the media lab, Fishwrap. Designed by Pascal Chesnais and Walter Bender and implemented by media lab students, the system allowed a greater deal of customization than commercially available systems in 1997.
A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item. They are primarily used in commercial applications.
StumbleUpon was a discovery and advertisement engine that pushed web content recommendations to its users. Its features allowed users to discover and rate Web pages, photos and videos that are personalized to their tastes and interests using peer-sourcing, social-networking and advertising principles. The service shut down in June 2018.
In marketing, promotion refers to any type of marketing communication used to inform or persuade target audiences of the relative merits of a product, service, brand or issue. The aim of promotion is to increase awareness, create interest, generate sales or create brand loyalty. It is one of the basic elements of the market mix, which includes the four Ps, i.e., product, price, place, and promotion.
Firefly.com (1995–1999) was a community website featuring collaborative filtering.
Geotargeting in geomarketing and internet marketing is the method of determining the geolocation of a website visitor and delivering different content to that visitor based on their location. This includes country, region/state, city, metro code/zip code, organization, IP address, ISP or other criteria. A common usage of geo targeting is found in online advertising, as well as internet television with sites such as iPlayer and Hulu. In these circumstances, content is often restricted to users geolocated in specific countries; this approach serves as a means of implementing digital rights management. Use of proxy servers and virtual private networks may give a false location.
Customer engagement is a business communication connection between an external stakeholder (consumer) and an organization through various channels of correspondence. This connection can be a reaction, interaction, effect or overall customer experience, which takes place online and offline. The term can also be used to define customer-to-customer correspondence regarding a communication, product, service or brand. However, the latter dissemination originates from a business-to-consumer interaction resonated at a subconscious level.
The Filter's TV personalisation products increase viewing, loyalty and revenue. Their data science underpins the business decisions of the world’s most forward thinking broadcasters. Founded in 2004, it has ties to musician Peter Gabriel and is based in Bath, UK.
GroupLens Research is a human–computer interaction research lab in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities specializing in recommender systems and online communities. GroupLens also works with mobile and ubiquitous technologies, digital libraries, and local geographic information systems.
Jinni is a search engine and recommendation engine for movies, TV shows and short films. The service is powered by the Entertainment Genome, an approach to indexing titles based on attributes like mood, tone, plot, and structure. Its availability is via API, in business-to-business licensing, where it impacts businesses like Comcast's Xfinity product.
The United States Federal Trade Commission (FTC) has been involved in oversight of the behavioral targeting techniques used by online advertisers since the mid-1990s. These techniques, initially called "online profiling", are now referred to as "behavioral targeting"; they are used to target online behavioral advertising (OBA) to consumers based on preferences inferred from their online behavior. During the period from the mid-1990s to the present, the FTC held a series of workshops, published a number of reports and gave numerous recommendations regarding both industry self-regulation and Federal regulation of OBA. In late 2010, the FTC proposed a legislative framework for U.S. consumer data privacy including a proposal for a "Do Not Track" mechanism. In 2011, a number of bills were introduced into the United States Congress that would regulate OBA.
MovieLens is a web-based recommender system and virtual community that recommends movies for its users to watch, based on their film preferences using collaborative filtering of members' movie ratings and movie reviews. It contains about 11 million ratings for about 8500 movies. MovieLens was created in 1997 by GroupLens Research, a research lab in the Department of Computer Science and Engineering at the University of Minnesota, in order to gather research data on personalized recommendations.
A content discovery platform is an implemented software recommendation platform which uses recommender system tools. It utilizes user metadata in order to discover and recommend appropriate content, whilst reducing ongoing maintenance and development costs. A content discovery platform delivers personalized content to websites, mobile devices and set-top boxes. A large range of content discovery platforms currently exist for various forms of content ranging from news articles and academic journal articles to television. As operators compete to be the gateway to home entertainment, personalized television is a key service differentiator. Academic content discovery has recently become another area of interest, with several companies being established to help academic researchers keep up to date with relevant academic content and serendipitously discover new content.
A filter bubble – a term coined by Internet activist Eli Pariser – is a state of intellectual isolation that allegedly can result from personalized searches when a website algorithm selectively guesses what information a user would like to see based on information about the user, such as location, past click-behavior and search history. As a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles. The choices made by these algorithms are not transparent. Prime examples include Google Personalized Search results and Facebook's personalized news-stream. The bubble effect may have negative implications for civic discourse, according to Pariser, but contrasting views regard the effect as minimal and addressable. The results of the U.S. presidential election in 2016 have been associated with the influence of social media platforms such as Twitter and Facebook, and as a result have called into question the effects of the "filter bubble" phenomenon on user exposure to fake news and echo chambers, spurring new interest in the term, with many concerned that the phenomenon may harm democracy.
(Technology such as social media) “lets you go off with like-minded people, so you're not mixing and sharing and understanding other points of view ... It's super important. It's turned out to be more of a problem than I, or many others, would have expected.”
Gravity R&D is an IT vendor specialized in recommender systems. Gravity was founded by members of the Netflix Prize team "Gravity".
Behavioral analytics is a recent advancement in business analytics that reveals new insights into the behavior of consumers on eCommerce platforms, online games, web and mobile applications, and IoT. The rapid increase in the volume of raw event data generated by the digital world enables methods that go beyond typical analysis by demographics and other traditional metrics that tell us what kind of people took what actions in the past. Behavioral analysis focuses on understanding how consumers act and why, enabling accurate predictions about how they are likely to act in the future. It enables marketers to make the right offers to the right consumer segments at the right time.
