Data Marketing is quite different from Digital Marketing. Digital Marketing focuses on promoting and selling products and services through online activities. In contrast, Data Marketing encompasses a broader scope, involving data analysis, its use across overall marketing efforts, and solving business problems in both online and offline contexts. While Digital Marketing mainly utilizes data for advertising purposes, Data Marketing is about deriving insights from data and linking those insights to actionable steps. Growth hacking, on the other hand, is more about conducting rapid tests and acting quickly.
In short, Data Marketing is about setting objectives, analyzing data, translating insights into action, and addressing a wide range of business challenges.
What is needed for Data Marketers?
"How should we use data?"
When we look at this question, the focus often falls on methods for utilizing data and the tools available. However, new tools are constantly emerging, like ChatGPT and others. So, it’s crucial to quickly identify problems, draw reasonable conclusions, and take action. To do this effectively, there are key mindsets we must adopt.
First, we need to cultivate a constant curiosity about data and build data resilience. Data marketing can’t be completed with a single action; it requires ongoing analysis and iteration. It’s about consistently identifying small problems, solving them through data, and discovering new issues through the insights we gain.
Second, we need to focus on the bigger picture, not just the details. We should always keep the overall objectives in mind and look for logical, data-driven outcomes. There’s no one-size-fits-all answer in data; it’s about how we interpret and apply it. Everyone has their own perspective, and our job is to persuade others with logical, objective thinking.
