Performance Analytics & Optimization
Key Takeaways
Analyzes campaign data and optimizes performance using Power BI or Excel
Original Description
Turn campaign data into clear, actionable decisions. In this course, you’ll build marketing dashboards using Power BI (or Excel) to visualize key metrics like impressions, clicks, MQLs, and pipeline value across channels. You’ll learn how to analyze week-over-week performance, identify meaningful variances, and translate data into narrative insights that guide stakeholder decisions.
The course then expands into multi-channel journey analysis, helping you understand how email, social, and webinar touchpoints contribute to pipeline growth. You’ll apply attribution models to evaluate channel efficiency using CPA, CTR, ROI, and ROAS, and make informed budget reallocation decisions.
Finally, you’ll conduct a structured 30-day post-launch campaign review, comparing actual vs. forecast performance, identifying key drivers, and developing optimization recommendations. You’ll present your findings through a stakeholder-ready narrative, including actionable insights and testable hypotheses for future campaigns.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related Reads
📰
📰
📰
📰
Job Hunting? Free Data Tools for Salary, Certification, and Visa Research
Dev.to · datapeek
Python for Data Science — Sampling and Why Your Conclusions Can Be Wrong
Medium · Data Science
Sleep-stage detection is mostly inference. Be honest about it.
Dev.to · SleepTrace
Data Science Institute in Tilak Nagar — AI, ML & Python Training
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI