What's Inside...

Marketing is expected to provide the biggest ROI of all AI and analytics investments, with McKinsey predicting a total gain of between $1.4 and 2.6 trillion.

Mastering new technology to reap these potential gains becomes a challenge, particularly when marketers are reluctant to move away from existing tools.

This guide provides an overview of six common marketing activities that can be vastly improved by applying data science. The crux is that these solutions can all be embedded into existing systems or used alongside existing tools.
Cannot Rely on Spreadsheets Alone-callout


How can marketers be more self-sufficient with analytics?
Empower teams with a no-code/low-code approach to analytics

Overcome the limitations of Excel and BI tools
Deliver greater business value with predictive analytics

Optimize marketing activities with machine learning solutions
Go deeper with customer churn, CX analysis, and customer segmentation