Analyzing Email Marketing Data

Problem Description

This exercise involves analyzing email marketing campaign data for a firm that has conducted multiple email campaigns. The goal is to evaluate the performance of these email campaigns using various metrics and to understand the factors influencing these metrics.

Digital marketing data is notoriously complex and fragmented. Unlike clean structured datasets, you’ll wrestle with:

• Multiple file formats and data sources
• Incomplete information requiring inference
• Metrics that must be constructed, not simply extracted
• Trade-offs between different performance indicators

This complexity is intentional — it builds the critical thinking and data wrangling skills that employers value most.

Most marketers can send emails. Few can analyze them properly. This assignment transforms you from a button-pusher into a strategist who can answer: Which campaigns work, why do they work, and how do we do more of what works?

That’s the difference between an entry-level coordinator and a marketing analyst companies fight to hire.

Data

Download the complete data here: Email Data

Data Description

The structure of the data folder is as follows:

|MasterFile.xlsx  Master file contains three sheets.
|                 Sheet-1: Summary of the email campaign
|                          (Note this is incomplete - it gives you relevant variables to consider but not all metrics)
|                 Sheet-2: Nomenclature of files
|                          (Each campaign has multiple files associated with it - this sheet explains what each file contains) 
|                 Sheet-3: Different devices, browsers, and email clients used by recipients to open the email newsletters
|
|01_080903D_tasting.xls  Bounces-Hard/Soft
|
|02_080903D_tasting.xls  Bounces-Other
|
|03_080903D_tasting.xls  Complaints
|
|04_080903D_tasting.xls  Sent-successful
|
|05_080903D_tasting.xls  Sent-Failed
|
|06_080903D_tasting.xls  Sent-Opened
|
|07_080903D_tasting.xls  Unsubscribes
|
|08_080903D_tasting.htm  Actual email newsletter
|
|08_080903D_tasting_files| Multimedia files used in email newsletter 
                         |080805_prime.jpg
                         |bacio_divino.jpg
                         |EMailLink.gif
                         |milton_park_shiraz_750.gif
                         |sittmann_riesling_750.gif
                         |sorrel_cyn_chard_750.gif 

Task

This exercise is a simple task in exploring digital marketing data. Also, this task gives a hands-on experience of the complexity of digital marketing data.

Perform the following analyses:

1. Define metrics to measure the performance of email newsletters.

   • Note: Use the given data to arrive at those metrics.

2. List factors that influence those performance metrics.

   • Note: Only list those factors that can be derived from the given data.

3. For each of the metrics in Step-1, provide the following:

   • The numerical value for each email campaign
   • Average of the metric.

4. Briefly describe the differences in best and worst email campaigns in terms of defined metrics.

5. Given the data, explain how you will capture the ROI of the firm’s email marketing.