Predict Customer Behavior for Smarter Social Media Marketing with Synthetic Network Data (03/18)

by CUBIG
cubig

To promote yourself to customers, social media marketing remains one of the hottest and most effective tools available. Particularly for targeting younger generations, many companies are leveraging data generated through SNS to sharpen their social media marketing strategies. However, the biggest challenge in acquiring and analyzing SNS data lies in privacy issues and the need for extensive preprocessing due to its unstructured format.

But there is an easy way to overcome these challenges: synthetic social network data.

Synthetic Graph Data

social network

Graph-based synthetic data is an excellent choice for mimicking the world of social networking services (SNS). Graph data is particularly suitable for describing relationships between people. By generating graphs (networks) with probabilities similar to the real world, it becomes convenient to predict changes or behaviors of people due to specific issues without infringing on user privacy concerns. In particular, you aim to invest heavily in influential influencers in the SNS world to maximize advertising effectiveness. In this process, synthetic data serves as a safe option.

more about : link1, link2

Simulating Strategy in a Virtual Social Network

  • Customer Behavior Pattern Simulation
    • Analyze real customer behavior data and train a generative model to simulate the behavior patterns of new customer groups. This allows us to develop new marketing strategies or validate existing ones.
  • Product Recommendation System Enhancement
    • Using generative models, we generate new product recommendations based on customer purchase history and interests. This helps improve personalized product recommendation systems and enhance customer experience.
  • Social Media Campaign Simulation
    • Train generative models based on social media data to simulate new campaign ideas. This enables us to predict campaign effectiveness and conduct pre-experimentation.
  • Marketing Content Generation
    • Use generative models to create marketing content for specific topics or keywords. This improves content marketing strategies and uncovers new ideas.

Do you want to promote yourself more effectively? with Cubig!