There are some systems that offer semantic analysis and language processing that can give you words that have been repeated and measure sentiment. Produce the content technically, if you find yourself using data about your audience to develop content that is tailored to their interests, featured influencers, etc., you are actually using big data for the production of your content. However, big data could bring you more than that: 1. Create content ideas from the data you already have at this point you should know your keywords and target audience, so you can create engaging titles.
Were there common questions in faqs for your products or services? Write them down on your calendar! The internet is for exploring, so go deeper with these faqs and use platforms like quora to find out what your audiences are wondering about lately. Google b2c email listcan give you great topic ideas with its suggested results; part of your keywords and see how far they take you. Use tools like google keyword planner and match your ideas to the keywords you want to boost within your content. Use tools like buzzsumo to measure what type of content format is most useful to your audiences.
It may be that for one keyword it is a video and for another an infographic is more convenient. Keep in constant analysis of your competitors: check in what position they are in google. 2. Headline testing with a/b tests don't shoot the air: the headline must be effective enough to capture the attention of your audiences. Use the data to create it. Testing in search: note that google allows variations of the same article to exist without affecting its ranking, provided that the content owner specifies that these duplicates are temporary. Social media testing: facebook ads are an effective way to a/b test on social platforms. You will be able to test with several titles and measure which one gets the most click rates.