Category Archives: Data Analytics

3 ways to use data analytics to connect with Hispanic consumers

Maximize your reach in the Hispanic market using data analytics with insights on personalization, cultural relevance and more. Mauricio Delgado on September 4, 2024   Data analytics is essential for marketers to understand and engage their target audiences. This is especially true when reaching distinct customer segments or attempting to broaden reach into new ones. … Continue reading 3 ways to use data analytics to connect with Hispanic consumers

Data analysis and market research top list of AI use cases

Marketers seek practical AI applications for campaigns, study finds. And CTV eclipses AI among consumer interests. Chris Wood on August 29, 2024   Marketers are tapping into AI’s analytics and research capabilities in higher numbers than for genAI content production, according to a new survey of over 1,200 marketers by adtech platform Mediaocean. The same … Continue reading Data analysis and market research top list of AI use cases

The data analytics hierarchy: Where generative AI fits in

How to overcome analytics challenges, like data overload, quality problems, integration struggles and delayed insights, using generative AI. Katie Robbert on June 11, 2024   Data analytics is integral to modern business strategies, driving crucial decision-making processes. However, the journey from raw data to actionable insights is often riddled with challenges. Data quality, integration, interpretation … Continue reading The data analytics hierarchy: Where generative AI fits in

Using data analytics for customer acquisition: Best of the MarTechBot

See how the MarTechBot responds to a prompt and how the prompt can be improved. Today: using data analytics to boost customer acquisition. MarTechBot on February 19, 2024 Best of the MarTechBot showcases the MarTechBot’s responses to prompts submitted by readers. See more about how marketers are using MarTechBot here. The language model is based on content from MarTech … Continue reading Using data analytics for customer acquisition: Best of the MarTechBot

Crunching Numbers: What Meta And Facebook Owe U.S. Publishers

Crunching Numbers: What Google, Meta Owe U.S. Publishers by Laurie Sullivan , Staff Writer @lauriesullivan, January 24, 2024 The U.S. District Court for the Eastern District of Virginia on Wednesday filed a complaint alleging that Google monopolizes key digital advertising technologies in the ad-tech stack that website publishers depend on to sell ads, and advertisers rely on … Continue reading Crunching Numbers: What Meta And Facebook Owe U.S. Publishers

How ThriftBooks uses data insights, loyalty and experience to drive ecommerce sales

The independent online bookseller used year-round ecommerce strategies to grow sales 20% over the holidays. Chris Wood on January 23, 2024  Books are a broad category with a passionate following. It takes data and a solid ecommerce strategy to break through to book fans on digital channels. Over the years, online bookseller ThriftBooks developed a … Continue reading How ThriftBooks uses data insights, loyalty and experience to drive ecommerce sales

Electrolux’s data and analytics roadmap to improved customer experience

The global brand is breaking down silos and unifying data in order to gain better engagement and grow customer lifetime value. Chris Wood on August 3, 2023 Global home appliances company Electrolux owns over 70 brands, including Frigidaire and AEG. They sell approximately 60 million household products in around 120 markets. With an organization of … Continue reading Electrolux’s data and analytics roadmap to improved customer experience

Data analytics: Your stack’s past and limitations

Understanding your martech stack’s evolution makes working with data analysts more efficient. Steve Petersen on October 3, 2022 At our recent MarTech Conference session, “It takes two to tango: How marketers and data analysts can excel together,” Arti Munshi and I talked about some high-level concepts marketers can understand to help them work efficiently with … Continue reading Data analytics: Your stack’s past and limitations