Marketing Report Automation
Python scripts that replace 3 hours of manual weekly reporting with a 90-second automated process.
The Problem
Marketing teams spend 2-3 hours every week pulling the same data, formatting the same spreadsheets, and emailing the same report. This is expensive, error-prone, and demoralizing.
Business Impact
Transforms weekly reporting from a manual chore into a scheduled process. Teams get consistent, accurate reports without human hours. Free up marketing staff to actually analyze the data instead of assembling it.
Before / After
| Before | After |
|---|---|
| 3 hours manual work | 90 seconds automated. Error-prone copy-paste |
The Problem
Every Monday morning, the same ritual: export CSV from the CRM, export CSV from the ad platform, open the master spreadsheet, paste data, fix formatting errors because column names changed again, recalculate formulas that broke, then email the report to leadership.
This takes 2-3 hours every week. Multiply by 52 weeks and you have 130-156 hours per year spent on work a computer can do.
The real cost is not just time — it’s attention. While your team is copy-pasting, they’re not analyzing. While they’re fixing broken formulas, they’re not identifying which campaigns are underperforming.
The Solution
A Python script that:
- Reads data files from
/data(CSV exports from any platform) - Automatically cleans inconsistent date formats and column names
- Merges all sources into a unified weekly summary
- Outputs a formatted
.xlsxfile with summary tables and charts - Runs in under 90 seconds
Before / After
| Before | After |
|---|---|
| 3 hours manual assembly per week | 90 seconds, fully automated |
| Copy-paste errors in every report | Reproducible, tested script |
| Scattered data across 3+ platforms | Single unified report |
| ”I spent all morning on reports" | "The report is ready at 8 AM, every Monday” |
How to use it
git clone https://github.com/christmantoro/marketing-report-automation
cd marketing-report-automation
pip install -r requirements.txt
# Add your CSV exports to /data
python report.py --week 2026-W24The script reads all CSV files from the /data directory, processes them using the rules defined in config.yaml, and outputs a formatted .xlsx report.
Configuration
Edit config.yaml to set:
- Source file paths and expected column names
- Date range for the report
- Which metrics to include in the summary
- Output formatting preferences
Who this is for
- Marketing teams spending more than 1 hour per week on manual reporting
- Marketing managers who want consistent, error-free reports without relying on a data team
- Small teams who can’t justify a BI tool but need structured reporting
What’s next
- Direct API connections (no more manual CSV exports)
- Email delivery via SendGrid (report lands in inbox automatically)
- Slack summary post for team visibility
Related
Read the full write-up: Automating Marketing Reports with Python.
Facing the same problem?
I work with marketing teams to automate reporting, build analytics dashboards, and replace manual data work with Python-powered workflows.
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