Proqram

Marketing Automation & Reporting

Welcome to our Marketing Automation & Reporting Program! This program is designed to help senior marketers become more tech-savvy and data-driven. Over 4 weeks, you’ll learn how to build and automate workflows in n8n using Python, transform raw data into actionable insights, and present professional reports that resonate with executives and stakeholders.

We’ll cover everything from automation fundamentals and data merging/filtering to BI visualization and effective reporting/presentation techniques. Each lesson combines theory with hands-on practice, ensuring you don’t just understand concepts but also implement real workflows you can use in your marketing role.

Müraciət et
Başlanğıc

Dekabr 2025

Müddət

1.5 ay

Qrup

20-25

Tədris qrafiki

I, III gün 19:00-22:00, Şənbə 12:00 - 15:00

Qəbul şərtləri
Gözlənti

İntensiv tədrisə hazırlıq

Dil biliyi

Minimum intermediate səviyyəsində ingilis dili biliyi

Tələb

Fərdi noutbuk, yaxud kompüterə malik olmaq; Senior Marketoloq

Yaş həddi

18 yaş və yuxarı

Kurs tələbələrə bunları qazandıracaq:

n8n Automation with Python for Marketing: Learn to use n8n as a powerful automation platform integrated with Python for custom scripting, handling data operations like sorting, merging different sources, and filtering raw data to streamline content planning and team collaboration.

BI Visualization: Master business intelligence tools to create insightful data visualizations that uncover marketing trends, customer behaviors, and campaign performance.

Reporting and Presentation: Develop skills in crafting reports for executives (e.g., CEOs or stakeholders), including how to present data effectively and brief designers on creating polished presentation materials.

Proqram

Marketing Automation & Reporting
4

Modul sayı

  • Introduction to n8n and Python for Marketers – This session will focus on understanding n8n’s interface, workflows, and triggers through practical marketing examples. Python will be introduced only inside n8n’s Python node, showing how small snippets can clean or structure form responses. Students will begin working with raw data provided in the workshop, simulating leads collected from forms, and learn how to automatically send this data into a workflow that tags entries by campaign source.
  • Building Smart Workflows with Python for Marketing – The focus here will be on key n8n nodes such as HTTP Request and Function, integrated with marketing automation scenarios. Python will be used for both basic and enhanced filtering operations, like removing duplicates or sorting leads by quality. Students will also be introduced to error handling, learning how to detect and manage failed executions when working with API-based workflows. The practical exercise will be building an automation for content scheduling with conditions, using the provided raw campaign data.
  • Workshop – Practice Challenge: Students will work independently with provided raw datasets to build a workflow that cleans messy data, applies filtering logic, and handles failed API calls with retries or alerts. This practice session consolidates the skills of Week 1 and ensures students can create reliable, real-world automations.
  • Custom Scripts and Scheduling for Smarter Marketing Decisions – This lesson builds on the fundamentals by applying more Python logic inside n8n, such as conditionals and simple calculations, to extract insights from raw data. Students will also learn how to use scheduling in n8n to run workflows automatically at set intervals, ensuring their automations are continuous and hands-free. A practical example will show how underperforming campaigns can be flagged automatically every morning.
  • Data Handling in n8n with Python: Sorting, Filtering, Segmentation, and Merging Basics - Students will expand their skills in data manipulation, applying Python to sort campaign results by metrics such as CPC or conversion rate, and filter out irrelevant or spam leads. Audience segmentation logic will also be introduced, allowing automatic grouping of leads into high, medium, or low quality. Finally, students will be introduced to the basics of merging multiple datasets (such as combining ad reports with analytics exports), preparing them for the full practice project in Lesson 6.
  • Workshop - Practice Challenge: Students will receive multiple raw datasets simulating social ads, website analytics, and CRM exports. Their task will be to merge these datasets into a single, clean structure using n8n’s merge nodes with Python for final cleanup. This project consolidates Week 2 and gives students their first complete end-to-end automation pipeline
  • Introduction to BI for Marketers - The role of BI in marketing decision-making and stakeholder communication. Overview of Power BI interface, importing marketing data sets (from n8n outputs and provided raw data), and cleaning basics. Understanding when BI is more effective than spreadsheets.
  • Creating Interactive Dashboards and Visuals (Practice-Only) - Hands-on session building dashboards with multiple chart types (line, pie, bar, heatmaps). Applying filters, drill-downs, and parameters for interactive exploration. Blending sources from n8n merges and raw marketing files. Students build their first complete dashboard step by step.
  • Crafting Reports for Stakeholders or Non-Marketers - How to turn BI dashboards into digestible reports. Exploring examples of strong vs weak reports. Report structure for marketers: methodology, summary, key findings, actionable recommendations, and visuals. Practice: reformatting BI outputs into stakeholder-friendly storylines.
  • Report Data Integration and Structuring Insights - Students explore how to turn raw merged data into a clear, stakeholder-ready report. The session starts by analyzing examples of weak vs. strong reports: cluttered dashboards vs. focused, insight-driven structures. Key concepts include emphasizing the right metrics, highlighting trends, and avoiding “data dump” presentations. Students then practice building a structured report from complex n8n outputs, ensuring their findings tell a story rather than just displaying charts.
  • Presenting to Executives - How to communicate marketing insights effectively to different audiences, especially non-technical stakeholders and executives. Students learn slide structuring, storytelling techniques, and how to adapt visuals for decision-makers. Practical components include rehearsing short report presentations, handling executive-level Q&A, and refining delivery to remain concise and outcome-driven.
  • Briefing Designers and Finalizing Visual Reports - Students learn how to transform a report into a polished, professional presentation. This includes writing design briefs that specify layouts, colors, and focal points, and ensuring brand consistency. The session combines theory (how marketers and designers collaborate effectively) with practice (students prepare a design brief and refine BI exports into presentation-ready slides). By the end, each student has a complete report package: from automated data to a designer-ready brief.