Data-Insights for Content Strategy: Combining Blog Posts with Analytics and Machine Learning
Using machine learning techniques such as clustering and classification, we grouped the blog posts into clusters based on their content. This allowed us to identify which categories of blog posts perform well and which content within each cluster is outperforming or underperforming.
New mobile apps to keep an eye on
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What new social media mobile apps are available in 2022?
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Use new social media apps as marketing funnels
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Try out Twitter Spaces or Clubhouse on iPhone
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What app are you currently experimenting on?
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Data-Insights for Content Strategy: Combining Blog Posts with Analytics and Machine Learning
We combined over 300 blog posts with analytics data in order to identify clusters of high-performing content and gained insights into the characteristics that make blog posts successful. By analyzing metrics such as page views, time on page, bounce rate, and social shares, we were able to identify patterns and trends in the performance of blog posts.
Using machine learning techniques such as clustering and classification, we grouped the blog posts into clusters based on their content. This allowed us to identify which categories of blog posts perform well and which content within each cluster is outperforming or underperforming.
What data we used
— 300+ Blog posts from a Wordpress website
— Google Analytics data such as age views, time on page, bounce rate, and social shares
Objectives
— To identify clusters of high-performing blog content based on analytics data.
— Insights into the characteristics that make blog posts successful.
— Improve the content strategy and generate new content ideas.
Deliverables
— Report identifying clusters of high-performing blog content based on analytics data.
— Analysis of performance metrics used in the project, including trends observed in the data.
— Recommendations for improving content strategy based on insights gained.
— List of new content ideas and targeted improvements to existing content.
