datasciencebud

+ Even I'm getting the same error for daily data

Hi, @Leonelsentana Thanks for the response. The calculations you mentioned in that comment are for spend but I want the calculations for Initial mean response(conversions) to match to original conversions

From my data: Aggregated csv data: channel 1: Total_spend=1461776 Roi_total=0.0061 Total conversions_channel1=1461776x0.0061=5006.78 channel 2: Total_spend=120793.77 roi_total=0.0034 Total_conversions_channel2=120793.77x0.0034=732.23 Total_conversions=5006.78+732.23=5739.01 Reallocated csv data: optmresponseunit_channel1=45.71 initResponseUnit_channel1=44.63 (optmResponseUnit - initResponseUnit)_channel1=1.08 non-zero spend time_units(as of...

10042 is the total conversions for 51 weeks directly from the original data and the value without division is 5061.86 which is not matching. I think the missing conversions are...

Hi the original data has the total spend and total conversions for each channel split. So based on this we know that that specific channel should have 100042 conversions

Hi Team, In the demo its mentioned "dep_var_type = "revenue", # "revenue" (ROI) or "conversion" (CPA)"" so we have used conversions as per demo. We get daily data from channels...

We are not applying any logic..the data directly comes from different channels like Google ads which are for paid search so we need the total conversions. There should be logic...

channel_constr_low = 0.75 channel_constr_up = c(1.44, 1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5) 

Above the attached one-pager is the selected model. All the other models are not matching our business. And why the initial Mean response for most of the channels is showing...

can we get the dataframe for recreating the 'plot_pre_post_budget_allocation_comparison' and 'plot_model_fit' plots