Skip to content
Daran on Data
  • Blog
  • Github
  • About Me
  • Privacy Policy

google ads

Identifying Poor Performing Google Ads (with statistics)

January 30, 2026October 15, 2021 by Daran J. Johnson
under-performing google ads

It can be a challenge to identify poor performing Google Ads. R can help by using statistics to find ads that should be replaced.

Read more

Categories Marketing Measurement, R Tags google ads, media optimization, shiny Leave a comment
  • Channel Attribution
  • Data Fundamentals
  • Experimentation
  • Forecasting
  • Hypothesis Testing
  • Marketing Measurement
  • Python
  • R
  • Regression
  • SQL

a/b testing advanced sql for analysts arima armstrong's axioms auto-correlation bigquery boyce-codd normal form closure cohort analysis correlation custom metrics data cleaning data exploration data modeling data studio data tables data visualization etl frequentist functional dependencies ga4 ggplot glmnet google ads googleanalyticsr package heath's axiom join dependencies k-fold cross-validation kendall tau media optimization modeling multi-channel attribution normalization pearson r prediction risanen's theorem rmarkdown shiny spearman rho spreadsheets stationarity time-series unit root white noise window functions

© 2026 Daran on Data • Built with GeneratePress