Comments (2)
avg spend is the avg of non-zero periods. If you have 100 days in model, but one channel has only spent money in last 20 days, then the average daily spend of that channel will be sum of all spend divided by 20 instead of 100. The intention behind is to reflect the real spend level when you really spent money. Then avg response = coef*hill(adstock(avg_spend)), more or less
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clear, thanks a lot.
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Related Issues (20)
- Error Running Demo.R with test dataset: Error in OutputCollect <- robyn_outputs(...) and AllocatorCollect1 <- robyn_allocator(...) HOT 1
- Validation procedure of Robyn HOT 6
- 0% effect from organic variables HOT 4
- demo.r | document error HOT 1
- robyn_allocator - What's the difference between expSpendUnitTot & optmSpendUnitTotal? HOT 2
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- Robyn Allocator underestimates Carryover HOT 23
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- Attribution for Brand Direct HOT 2
- Error in {: Task 1 failed - "object 'dt_geometric' not found" HOT 3
- Impression modelling HOT 4
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