ar-asur

Attribution for Brand Direct

2

I am working with a dataset of 2.5 yrs history with 6 media channels and 3 context variables. KPI is number of new customers. I have a question about understanding...

Using nested models is often prescribed for mitigating search spend being endogenous variable. I read this [Google paper](https://arxiv.org/abs/1807.03292)(Bias Correction For Paid Search), It is mentioned we can use google query...

Hi all, I am trying to build LMMM using US states as geos. Currently, model provides functions for channel attribution and channel response curves at the overall level. Is it...

Nested modeling

2

Hi, After building the MMM model, I realized that it tends to underestimate the effect of some top-of-funnel channels which are mainly used for acquisition (Paid Social , TV) and...

Response Curve : Adstock and Carryover models

14

Hi team, I used the package to fit both adstock and carryover models. I have 6 media channels, 2 extra features and states as geo with 3.5 yrs of weekly...

Budget Optimization - Predicted target value

6

Hi team - I am building a MMM model with 8 channels and 2 extra features. It is a geo model at US state level (51 geos). I used the...

Hi team - I am building a MMM model with 8 channels and 2 extra features. It is a geo model at US state level (51 geos). It takes couple...

Hi, I am trying to use `Geolift` to measure a test. I have treatment and control set of locations and trying to add covariates and getting the following error `Error...

Hi team, I am trying to use GeoLift package for a particular test design and would like to understand if it is possible and any suggestions. I am planning to...

Currently the `plot_response_curves` outputs only the mean prediction and curve. How do I obtain credible intervals like 5th and 95th percentile around the curve? Thanks!