A data-based content strategy is an approach to developing and executing content that largely depends on information gained from data. All content decisions are based on data collected through research and analysis, rather than on intuition or guesswork. More important than simply having content analysis handy, is that it is also necessary to understand the content metrics that the data provides them from the start. This does a few things for an editor.
First of all, good content analysis generates a better number of readers. By using data-based information, they can better understand what their audiences want and who they are, so that they can offer the content they want to read. Data storytelling is the ability to effectively communicate the information in a data set through narratives and visualizations. It can be used to contextualize the information in the data and inspire action from your audience.
Data-based marketing applies the latest data analysis capabilities to identify the most productive media purchases and create creative and personalized product awareness. You need to make sure that every piece of content you write is well optimized for your main keyword (or keywords). In addition, companies that use data-based personalization recorded five to eight times the return on investment (ROI) in their marketing budgets. Instead of writing one piece of content and waiting for thousands of people to read it, marketers can now generate thousands of stories, each designed specifically for a single-person audience.
If you do your research well, every piece of content you publish will be of high quality and will be in line with the needs of your audience. Of course, the answer may be different for each piece you produce, but you still need a list of marketing objectives to choose from. Stirista describes Crazy Egg as a “thermal mapping tool that creates two-dimensional representations of data”. A common technique for implementing an omnichannel approach to data-based marketing is identity resolution.
If you've correctly defined your content marketing objectives and the stage of the customer journey that each piece corresponds to, you shouldn't have any problem doing so. Business intelligence gained from data-based marketing can be used to improve the company's brand, track competition and optimize pricing. Let's review nine proven, data-driven strategies that will take your content marketing to the next level, starting with creating a framework for all your hard work. Data-based marketing improves the effectiveness of a company's purchase of media, targets the most receptive customers and communicates relevant messages to customers.
You must learn to use data at every stage of the content lifecycle, from developing the initial plan to creation, distribution and optimization.