Even the most experienced digital marketers can make mistakes when looking at data and making decisions. Here are 10 digital marketing data analysis mistakes to watch out for. Knowing about these mistakes will help you to minimize or avoid them.

  1. Not Looking at a Statistically Significant Timeframe
  2. Not Factoring in Seasonality
  3. Ignoring the Impact of Offline Activity
  4. Not Accounting for Multi-Channel Engagement
  5. Focusing on the Wrong KPIs
  6. Reporting on Numbers Without Conclusions
  7. Making Decisions Based on Faulty Data
  8. Not Incorporating Backend Data
  9. Visualizing Data Poorly
  10. Assuming That You Can Measure Everything