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Social CRM
Social CRM (customer relationship management) is use of social media services, techniques and technology to enable organizations to engage with their customers. Applications Social CRM has applications in marketing, customer service and sales, including: * Social Engagement with prospects: Social CRM tools allow businesses to better engage with their customers by, for example, listening to sentiments about their products and services. *Social Customer Service: Ownership of social media is shifting away from Marketing and Communication as engagement increasingly relates to inbound customer service-based topics. Rather than social being seen purely as a space for companies to deliver outbound marketing messages, it is the inbound customer queries that allow for meaningful points of engagement and the building of brand advocacy. *Personalized Marketing Strategy: The ability to create custom content is increasingly dependent on access to reliable, qualitative social user data to facilit ...
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Customer Relationship Management
Customer relationship management (CRM) is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information. CRM systems compile data from a range of different communication channels, including a company's website, telephone, email, live chat, marketing materials and more recently, social media. They allow businesses to learn more about their target audiences and how to best cater for their needs, thus retaining customers and driving sales growth. CRM may be used with past, present or potential customers. The concepts, procedures, and rules that a corporation follows when communicating with its consumers are referred to as CRM. This complete connection covers direct contact with customers, such as sales and service-related operations, forecasting, and the analysis of consumer patterns and behaviors, from the perspective of the company. According to Gartner, the global CRM market ...
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Social Media
Social media are interactive media technologies that facilitate the creation and sharing of information, ideas, interests, and other forms of expression through virtual communities and networks. While challenges to the definition of ''social media'' arise due to the variety of stand-alone and built-in social media services currently available, there are some common features: # Social media are interactive Web 2.0 Internet-based applications. # User-generated content—such as text posts or comments, digital photos or videos, and data generated through all online interactions—is the lifeblood of social media. # Users create service-specific profiles for the website or app that are designed and maintained by the social media organization. # Social media helps the development of online social networks by connecting a user's profile with those of other individuals or groups. The term ''social'' in regard to media suggests that platforms are user-centric and enable communal ac ...
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Marketing
Marketing is the process of exploring, creating, and delivering value to meet the needs of a target market in terms of goods and services; potentially including selection of a target audience; selection of certain attributes or themes to emphasize in advertising; operation of advertising campaigns; attendance at trade shows and public events; design of products and packaging attractive to buyers; defining the terms of sale, such as price, discounts, warranty, and return policy; product placement in media or with people believed to influence the buying habits of others; agreements with retailers, wholesale distributors, or resellers; and attempts to create awareness of, loyalty to, and positive feelings about a brand. Marketing is typically done by the seller, typically a retailer or manufacturer. Sometimes tasks are contracted to a dedicated marketing firm or advertising agency. More rarely, a trade association or government agency (such as the Agricultural Marketing Servic ...
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Social Network
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalize ...
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Multichannel Retailing
Omnichannel is a neologism describing a business strategy. According to ''Frost & Sullivan'', omnichannel is defined as "seamless and effortless, high-quality customer experiences that occur within and between contact channels". History "Omnis" is Latin for "every/all" and here suggests the integration of all physical channels (offline) and digital channels (online) to offer a unified customer experience. The effort to unify channels has a long history across all market sectors. Efforts like single-source publishing and responsive web design, however, were usually focused on internal efficiencies, formatting consistency, and simple de-duplication across channels. As the number of channels proliferated, the potential for disjointed experience when switching or working with multiple channels increased. Channels like mobile devices, the mobile web, mobile apps, contextual help, augmented reality, virtual reality, and chatbots are used in addition to traditional physical and human ...
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Customer Experience Management
Customer experience (CX) is a totality of Cognition, cognitive, Affect (psychology), affective, Sensory processing, sensory, and behavioral consumer responses during all stages of the consumption (economics), consumption process including pre-purchase, consumption, and post-purchase stages. Pine and Gilmore described the The Experience Economy, experience economy as the next level after commodities, goods, and services with memorable events as the final business product. Four realms of experience include esthetic, escapist, entertainment, and educational components. Different dimensions of customer experience include senses, emotions, feelings, perceptions, cognitive evaluations, involvement, Memory, memories, as well as spiritual components, and Theory of planned behavior, behavioral intentions. The pre-consumption anticipation experience can be described as the amount of pleasure or displeasure received from savoring future events, while the remembered experience is related to a ...
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Natural Language Processing
Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation. History Natural language processing has its roots in the 1950s. Already in 1950, Alan Turing published an article titled "Computing Machinery and Intelligence" which proposed what is now called the Turing test as a criterion of intelligence, t ...
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Sentiment Analysis
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine. With the rise of deep language models, such as RoBERTa, also more difficult data domains can be analyzed, e.g., news texts where authors typically express their opinion/sentiment less explicitly.Hamborg, Felix; Donnay, Karsten (2021)"NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles" "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume" Examples The objective an ...
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Social Analytics
Social analytics is a philosophical perspective developed since the early 1980s by the Danish Danish may refer to: * Something of, from, or related to the country of Denmark People * A national or citizen of Denmark, also called a "Dane," see Demographics of Denmark * Culture of Denmark * Danish people or Danes, people with a Danish a ... idea historian and philosopher Lars-Henrik Schmidt. The theoretical object of the perspective is ''socius'', a kind of "commonness" that is neither a universal account nor a communality shared by every member of a body. Thus, Social Analytics differs from traditional philosophy as well as sociology. It might be said that the perspective attempts to articulate the contentions between philosophy and sociology. The practise of Social Analytics is to report on tendencies of the times. It does not aim to make a diagnosis of the times that can be agreed upon by everyone or anybody but a report that no one wants to protest about. References {{Ref ...
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Text Analytics
Text mining, also referred to as ''text data mining'', similar to text analytics, is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a KDD (Knowledge Discovery in Databases) process. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and inte ...
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Text Mining
Text mining, also referred to as ''text data mining'', similar to text analytics, is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a KDD (Knowledge Discovery in Databases) process. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and inte ...
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