Marketing automation | Solutional Webdesign Antwerpen

ALL 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Marketing automation is a digital strategy that integrates and streamlines various marketing tasks, making them more efficient and effective. This approach combines diverse interaction channels such as email^[7], SMS^[8], chatbots, and social media^[5] into a unified system. It encompasses functionalities like lead scoring, campaign management, web analytics^[4], and tracking prospects’ activities to guide them towards a sale. Marketing automation software varies, offering behavioral analysis, lead management, advertising^[6] processes, and internal marketing workflows. It often requires administrators to set rules for CRM or COM systems. Marketing automation’s impact is multifaceted, influencing data management due to GDPR, enabling personalization^[3] of products and services, and affecting customer experience^[1]. Its functionalities include analyzing campaigns and customers, managing and nurturing leads, segmenting customers, and delivering personalized content. It also helps measure marketing ROI. The future of marketing automation looks promising, with continuous advancements in AI and machine learning^[2] and increasing integration with data analytics and CRM systems.

Terms definitions

1. ↑ customer experience.

1 Customer experience, often abbreviated as CX, is an integral aspect of successful businesses and is the subject of this text. It refers to the perception, emotions, and reactions that a customer has while interacting with a company and its products or services. This concept evolves over time, influenced by changes in the competitive landscape and customer expectations. The design of a customer experience involves careful planning and intentional creation of interactions that are meaningful and valuable to the customer. This includes everything from the physical surroundings to the emotional resonance of the interaction. The management of customer experiences, also known as Customer Experience Management (CEM), is a crucial business strategy that tracks and oversees all customer interactions to ensure satisfaction and loyalty. Monitoring and optimizing these experiences, understanding the factors that contribute to satisfaction or dissatisfaction, and recognizing the impact of different environments and techniques are all key elements of effective customer experience management.

2 Customer experience, often abbreviated as CX, is an integral aspect of successful businesses and is the subject of this text. It refers to the perception, emotions, and reactions that a customer has while interacting with a company and its products or services. This concept evolves over time, influenced by changes in the competitive landscape and customer expectations. The design of a customer experience involves careful planning and intentional creation of interactions that are meaningful and valuable to the customer. This includes everything from the physical surroundings to the emotional resonance of the interaction. The management of customer experiences, also known as Customer Experience Management (CEM), is a crucial business strategy that tracks and oversees all customer interactions to ensure satisfaction and loyalty. Monitoring and optimizing these experiences, understanding the factors that contribute to satisfaction or dissatisfaction, and recognizing the impact of different environments and techniques are all key elements of effective customer experience management.

2. ↑ machine learning. Machine learning, a term coined by Arthur Samuel in 1959, is a field of study that originated from the pursuit of artificial intelligence. It employs techniques that allow computers to improve their performance over time through experience. This learning process often mimics the human cognitive process. Machine learning applies to various areas such as natural language processing, computer vision, and speech recognition. It also finds use in practical sectors like agriculture, medicine, and business for predictive analytics. Theoretical frameworks such as the Probably Approximately Correct learning and concepts like data mining and mathematical optimization form the foundation of machine learning. Specialized techniques include supervised and unsupervised learning, reinforcement learning, and dimensionality reduction, among others.

Marketing automation (Wikipedia)

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages)

The topic of this article may not meet Wikipedia's general notability guideline. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted.
Find sources: "Marketing automation" - news - newspapers - books - scholar - JSTOR (December 2013) (Learn how and when to remove this template message)

This article relies excessively on references to primary sources. Please improve this article by adding secondary or tertiary sources.
Find sources: "Marketing automation" - news - newspapers - books - scholar - JSTOR (December 2013) (Learn how and when to remove this template message)

This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.
Find sources: "Marketing automation" - news - newspapers - books - scholar - JSTOR (March 2011) (Learn how and when to remove this template message)

(Learn how and when to remove this template message)

Marketing automation refers to software platforms and technologies designed for marketing departments and organizations automate repetitive tasks and consolidate multi-channel (email, SMS, chatbot, social media) interactions, tracking and web analytics, lead scoring, campaign management and reporting into one system. It often integrates with customer relationship management (CRM) and customer data platform (CDP) software.

« Back to Glossary Index