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What Is Predictive Advertising & Why Do You Need It?

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Like AI and machine learning, predictive analysis has become a bit of an Internet buzzword in the last few years. The technology already has a wide variety of applications for marketers -- predictive advertising is just one of them. If you're among the many who are still fuzzy about what predictive analysis is, here's a rundown on how it's changing the way marketers advertise today. Predictive advertising is a marketing application of predictive analysis. Predictive analysis, by definition, is the use of consumer data, artificial intelligence and statistical algorithms to identify what could happen in the future.


How AI in Ecommerce Enables True Personalization: Q&A With Elizabeth Gallagher of Lineate

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"It's machine learning's job to find patterns based on the data you give it to help you focus on the data points most likely to lead to conversion." Elizabeth Gallagher, chief revenue officer at Lineate talks about how machine learning (ML) and artificial intelligence (AI) are changing the game for ecommerce brands. With the use of predictive analytics, marketers can create personalized marketing campaigns. In this edition of MarTalk Connect, Gallagher shares the key data points marketers should use to provide personalized recommendations. She stresses how data-driven automation and machine learning are strategic assets to enhance the customer journey.


How Artificial Intelligence can transform digital marketing in India

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Artificial Intelligence has transformed the digital landscape, such as Google's RankBrain personalising recommendations by Amazon. Artificial Intelligence (AI) is rapidly becoming essential in the day-to-day happenings of the digital world, with marketing and advertising being no exception. The idea of AI may bring to mind 60's sci-fi with futuristic robots, but it's really about so much more. With proper understanding and analysis of data and input, AI is playing a crucial role in identifying marketing trends. Brands and marketers are incorporating Machine Learning and Artificial Intelligence to save time and resources.


How Integrating Artificial Intelligence In B2B Marketing Can Scale Your Business

#artificialintelligence

Every year, new advancements within the technology space have assisted businesses by creating new opportunities for customer outreach. One of the greatest technologies of our time is Artificial Intelligence (AI) which has been creating quite the buzz in the B2B arena. Even though marketers have tested the waters when it comes to machine learning algorithms, there is still major ground to be covered when it comes to predictive analytics, personalization, statistical analysis as well as lead generation. Given its potential, Artificial Intelligence in B2B sales and marketing is here to transform the way people interact with brands, information, and services. A good handful of enterprise giants dread the idea of automating their marketing functions with the use of Artificial Intelligence, however, by measuring the effect of AI in the customer service industry, one can affirm that understanding customer nuance and deriving insights from relevant customer data will not be entirely manual or managed by humans alone.


How Artificial Intelligence Can Be Used To Scale B2B Sales and Marketing

#artificialintelligence

Every year, new advancements within the technology space have assisted businesses by creating new opportunities for customer outreach. One of greatest technologies of our time is Artificial Intelligence (AI) which has been creating quite the buzz in the B2B arena. Even though marketers have tested the waters when it comes to machine learning algorithms, there is still major ground to be covered when it comes to predictive analytics, personalization, statistical analysis as well as lead generation. Given its potential, Artificial Intelligence in B2B sales and marketing is here to transform the way people interact with brands, information and services. A good handful of enterprise giants dread the idea of automating their marketing functions with the use of Artificial Intelligence, however, by measuring the effect of AI in the customer service industry, one can affirm that understanding customer nuance and deriving insights from relevant customer data will not be entirely manual or managed by humans alone.