This infographic offers a ssummary guideline I follow for developing data-driven content marketing strategies. Data-driven content marketing requires collecting, analyzing, and applying data about a business’s customers to communicate facts and trends to my content marketing efforts. This changes the tactical planning process from a guessing game to a resdults-driven strategy, supported by actual information about the client’s target audience/customer.
Data not only helps mr create better content, but it contributes to crafting content that is personalized to meet the needs of target audiences and answer the their most pressing questions. Here’s five steps I implement::
Step 1. Review the data, get to know the data
I combine competitor analysis, keyword and search term research, the client’s analytics, and target audience characteristics to collect as much information as possible.
Step 2: Map out a content strategy
Armed with some solid data, I begin to build the framework for the client’s content marketing strategy usually starting with a content calendar.
Step 3: Determine effective content formats
I use data to determine how my clients’ audience prefers to consume content and continue to build out the content calendar accordingly.
Step 4: Sharpen and fine tune the content distribution strategy
I use data to determine where and when a target audience prefers to consume content and continue to build out the content calendar accordingly.
Step 5: Analyze results; test, tweak, repeat
I use data to see how successfully I have used it. Once I establish a clients’ data-backed content marketing strategy, I monitor its performance. Sometimes I find I need to pivot, adjust, and try new things to find the perfect formula. .