machine learning

How to Use UX Testing to Improve Your Customer Lifetime Value

According to a survey by Havas, “people wouldn’t care if 74% of the brands they use every day just disappeared.” Across the world, only 57% of brands are trusted on average (and only 33% in North America!): These figures are shocking, right? They shouldn’t be. Today’s shoppers place a lot more value on customer experience …

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17 Best Paid Media Tools for Marketers

The power of paid media extends far beyond the scope of organic reach. As opposed to organic media, such as SEO, content marketing and social media posts (but not sponsored posts), or earned media, such as publicity, reviews and word of mouth, paid media refers to any content placed outside of your own real estate …

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6 Ways to Improve Customer Loyalty with AI

Artificial intelligence (AI) is a super hot topic right now in marketing. According to a Teradata study, 80% of enterprises report that their organization already has some form of AI in production. The study also revealed that one of the top planned areas for AI investment for brands was customer experience. From providing a seamless …

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What Is the Google BERT Search Algorithm Update?

Google BERT stands for Bidirectional Encoder Representations from Transformers and is an update to the core search algorithm aimed at improving the language understanding capabilities of Google. BERT is one of the biggest updates that Google has made since RankBrain in 2015 and has proven successful in comprehending the intent of the searcher behind a …

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12 Ways to Use Machine Learning in Digital Marketing

Analytics. Personalization. Automation. Optimization. These are the pillars of success for digital marketing campaigns. What if a single suite of technologies could multiply the effectiveness of all these aspects of marketing manifolds? That’s exactly what machine learning does. Gartner predicts that by 2020, around 30% of companies will be using machine learning and AI in at …

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Google to bring AI for biodiversity research to TensorFlow Hub

Machine learning algorithms abound in biodiversity research, but sometimes without the proper attribution or oversight. In an effort to raise the academic bar, Google says it’ll release an AI workflow for institutions, developed in collaboration with Global Biodiversity Information Facility (GBIF), iNaturalist, and Visipedia. Researchers at the tech giant say the workflow will support data …

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