Big corporations tend to do all this research about which marketing trends are working best or how to best attract customers, when the answer is right in front of them. Know your customer and build trust with them to get them to buy.

Neil discusses the importance of asking customers questions in order to better understand their needs and preferences. He recommends rotating the questions that are asked and using social media as a way to get feedback on the effectiveness of a company's communication with customers. He also advises companies to conform to the rules and best practices of the particular social media platform they are using in order to be more successful. They discuss the importance of getting a response and taking action on customer feedback, and caution against focusing too much on the number of followers or email recipients without considering their engagement and response.

Using data to make informed business decisions is a key element of datadriven marketing. By starting with a clear hypothesis about the data that matters to a company and the ability to act on that data, businesses can use data to test and prove their ideas about what leads to success. This approach to datadriven decision making allows companies to make slightly better decisions quickly, rather than waiting to gather all available data and hoping to find patterns. Data analytics and business analytics can help companies understand their customers and make more effective marketing decisions. For startups, growth marketing can be particularly important, and datadriven marketing can be a valuable tool for driving growth. By asking customers questions and gathering data on their needs and preferences, businesses can use data to make content more attractive to their audience and conform to the rules and best practices of their community.

This is exactly what Neil Hoyne talks about in this video, discussing how you can get to know your customer and when to best ask specific questions that you can use to gather data. Beyond that, he goes into his own analysis of how this theory would apply to selling on Social Media.

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00:00 Asking the right questions
00:56 Using data to make content
02:27 Getting a response
03:17 Case Study