General Resources for Robyn

 

Available Dataset

  • Use Dataset from Robyn package
    • Input Data
      • dt_simulated_weekly
        • Weekly data (12/14/2015-11/11/2019)
        • Columns: ds, revenue, media variables (TV, OOH, Print, Facebook, Search), context variables (competitor sales, events), organic variable (newsletter)
    • Output data
      • Sample file of outputs
        • pareto_aggregated
        • pareto_all_decomp_matrix
        • pareto_clusters
        • pareto_hyperparameters
        • pareto_media_transform_matrix
  • (Optional) Use siMMMulator package to generate data for Marketing Mix Models
    • siMMMulator is an open source R-package to generate data for Marketing Mix Models
    • You can produce a testing dataset with known ROI values. Use siMMMulator to:
      • Validate and compare accuracy of MMM
      • Quantify the value of an innovation to an MMM
      • Simulate business scenarios to test against your MMM
  • (Optional) Bring own dataset 
    • You need to upload file including input/output csv in Github
    • Do not include any sensitive data(e.g. Actual sales data from your brand). Meta is not responsible for sharing your own data in public. Please try to use simulated dummy data. 

 

Robyn Visualization Examples