Welcome to the second installment of our blog series on Subatomic, SOVA's latest AI marketing tool. Today, we explore the content analysis workflow, designed to help you understand what your audience would think about your content.
The content analysis workflow is built around the personas we highlighted in the first blog entry. By grouping personas into a target audience, we can understand how different personas and the audience as a whole would react to a draft piece of content.
Let’s show you how Subatomic makes this easier:
Before analyzing content in Subatomic, personas should be grouped into a target audience. These audiences represent the group of people your content is intended to reach. You can use personas in multiple audiences to reuse them as building blocks for different campaigns.
Quantitatively scoring content can help you quickly assess strengths and weaknesses in individual pieces of content and also identify both problematic and opportunistic trends. In the future we plan allow for integration of performance data to help identify leading indicators to performance
Creating personas typically involves analyzing data to create clusters of people and speaking to people to understand what makes them tick. Subatomic simplifies this process by using AI to fill in the gaps in your understanding.
Once you understand the perspectives of your audience, you can either edit your content on your own, or use our AI suggestion engine to suggest specific copy to change. During the BETA, audience editing works as a batch of suggestions…in the future, we’ll bring a live collaborative editing experience to allow you to test with your audience as you write.
