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Here's how AI is set to transform the digital marketing landscape - ClickZ

#artificialintelligence

Artificial intelligence is proving integral to the digital products of tomorrow, and nowhere is that more true than in the marketing space. A new wave of startups are leveraging AI in their marketing platforms, and industry heavyweights are beginning to take notice as well. Companies like Amazon and Apple are even leveraging artificial intelligence to conduct voice-based marketing through devices like their Alexa and Siri platforms, respectively. This is only one use case of AI, but it's illustrative of how the technology can help shape consumers' buying behavior and help them make better purchase decisions. A year or two ago, artificial intelligence was seen as a novelty by marketers, and not many were integrating the technology into their own applications.


Getting personal: how AI-driven personalised marketing is the future of brand communications

#artificialintelligence

AI-driven personalised marketing holds the key to winning and retaining consumers in the digital age. The formula to acquire customers in today's hyper-connected online and offline communication ecosystem, can be summarised through the following phrase: "right audience, right channel, right time." Moreover, this phrase even encapsulates what personalised marketing is all about. Simply put, it is the art of creating and delivering communication tailored according to each individual consumer's preferences. Fundamentally, personalised marketing is the process of communicating the different value of the same product or service to various consumer segments, be it students, working professionals, millennials, middle-aged consumers, digital or offline consumers, etc.


How AI Can Boost Your Social Media Marketing

#artificialintelligence

Social media marketing is an inevitable marketing strategy of every business, here is the analysis of how ai helps to boost social media marketing campaign. Growth of data science and implementation of artificial intelligence in marketing campaigns are helping social media marketers to save lots of time and effort. Social media marketing is an unavoidable part of every business marketing strategy because this age has become the social media era. According to Social media today, Roughly 45% of the world's population uses social media and they spend an average of 2 hours and 23 minutes per day on social media. Social media is not only used to promote your products/services or sharing news but it also an effective and powerful tool for reaching new clients, increased brand awareness and customer support.


How AI Is Shaping the Future of Content Marketing and Personalization

#artificialintelligence

The practice of collecting basic demographic information from customers to create a successful business marketing strategy is one of the past. In recent times, there has been a major shift in the way that businesses interact with their customers. The digital space has spread so far and wide that it has had a lasting influence on virtually everything we do. As a result, the conventional approaches to marketing that were prevalent even as early as a few years ago are considered severely ineffective today. The rapidly growing popularity of Big Data means that marketers need to embrace sophisticated approaches to processes and perform in-depth analysis of customer data, preferably in real-time.


The Definitive Guide to Machine Learning for Marketers in 2017

@machinelearnbot

Machine learning is the future of marketing, but what can you do today to apply it and get an edge over your competitors? There is a lot of buzz around machine learning and artificial intelligence. It seems everyday writers and experts are publishing articles and talking on the radio about how artificial intelligence and machine learning are going to change the world. Likewise, trending topics – such as self-driving cars and big data– have our piqued our collective interest in the potential of artificial intelligence and machine learning. The truth is, however, that we are in the early inception stages of machine learning and artificial intelligence.