The entire content development process can be more effective if data driven : I analyze, produce, analyze, optimize. Of course, there must be in-depth technical skills to be able to read all the data as best as possible.can learn to handle, without becoming one of the "initiated". Precisely for this reason we have designed our courses: to give an agile and basic toolbox to those who have to use this data and these tools to write content, and to give them the knowledge and language to communicate with "technical" figures to whom we will entrust the detailed configuration of the analytics.
How many things we can do with the right data Know the people we are targeting Starting with the people who visit our site : who they are, what age they are, where they come from. Naturally they are aggregate data, but they help us draw an ave Bosnia and Herzegovina WhatsApp Number rage profile of our reader. Understanding if and why content “works” Meanwhile: what does it mean they work? The quantitative data (how much has been read) may not be sufficient.
For example, what do we need today, a post on how Google+ works, even if it is one of the most read on our site? There are also qualitative indicators to take into consideration: time on the site, bounce rate, conversion on objectives. The first step, therefore, is to decide which data we need: identifying which KPIs to consider, which objectives to set. Does the content work? We can analyze the data to understand what searches they have crossed and if we can optimize the budget.
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