In my experience, a structured approach to problem-solving is invaluable in management. Drawing from my studies, I've found that asking the fundamental questions—what, why, how, and which—provides a clear framework for tackling challenges. When applying this to marketing analytics, I've found it effective to start by defining key objectives and identifying the most relevant KPIs. Next, I focus on visualizing data in a clear and actionable manner. By connecting the dots and analyzing trends, I've been able to uncover insights that drive improvements in marketing performance.

When overwhelmed by data for campaign analysis, focus on what tells the most compelling story. Start by defining your key objectives: What do you need to communicate or learn? Prioritize visualizations that highlight trends, performance against goals, and actionable insights. Use charts and graphs to simplify complex data, but ensure they align with your audience's needs and interests. Sometimes, less is more—choose visuals that clearly convey the message without overwhelming details. My experience shows that the right visuals make data not just accessible, but impactful and easy to understand, driving better decision-making.

To start with make sure you're quite clear on goals and objectives and what counts as the success metric for the campaign, focus on things that matter and eliminate vanity metrics from your analysis. The best advice I have ever received when dealing with campaign performance data is to chase the revenue and final conversions . Here is the checklist that will help you in long run - Make sure your KPIs and metrics are limited and only conveys actual impact - Make sure you eliminate vanity metrics from your analysis - Make sure your data transformation process is streamlined so you don't spend a lot of time in aggregating the data - Try to automate some data crunching process - Use Good Visualization Tool

After identifying the key performance metrics, consider which graphs and charts will showcase the overall campaign performance. This could include comparison charts, time charts and such. A slight step more advanced would be deeper dives into what made/break the campaign ie using a waterfall chart

The drawback of living in a Big Data world is that your campaign analysis is often drowning in data. To choose what to visualize for maximum impact, determine which data points demonstrate Return on Investment (ROI), as stakeholders are likely to be most interested in whether the money invested into a particular marketing strategy generated sufficient results (e.g., higher conversion rate, increased sales).