Dynamic Excel Reports for Marketing Analytics

Name: Dynamic Excel Reports for Marketing Analytics
Rating: 3.4 (118 reviews)

Transform Raw Marketing Data into Powerful Visual Stories That Win Executive Buy-in

Created byMeta Brains

Last updated 3/2025

English

English [Auto],

What you'll learn

Analyze marketing data with Excel tools effectively.
Import, clean, and structure data for accurate insights.
Create advanced visualizations for data-driven decisions.
Build dynamic dashboards for marketing performance.
Calculate key metrics like ROI, CTR, and Conversion Rate.
Automate tasks using Excel Macros and basic VBA scripts.
Master pivot tables and slicers for interactive reports.
Apply time-based trend analysis for marketing insights.

Course content

7 sections • 33 lectures • 2h 39m total length

Overview of Marketing Analytics and Importance of Data-Driven Marketing4:06
Explore marketing analytics basics and the power of data-driven marketing, using Excel to measure ROI, engagement, and conversions from website, social, and CRM data to inform decisions.
Types of Marketing Data (Digital, CRM, Sales, Campaign Data)3:59
Explore digital, CRM, sales, and campaign data and learn how integrating them yields cross-channel insights. Commit to addressing data silos, accuracy, and volume.
Setting up Excel3:40
Set up your Microsoft Excel environment, create a new workbook, manage sheets by renaming, coloring tabs, hiding, and deleting, and explore the ribbon and quick access toolbar for data handling.
Formatting Data for Readability7:55
Format campaign data in Excel to create a table, style headers, and apply date, currency, and percentage formats with borders and conditional formatting to reveal click-through rate and conversion trends.
Data Validation, Drop-Down Lists, and Arithmetic operations9:46
Learn to apply data validation, drop-down lists, and arithmetic operations in marketing analytics spreadsheets. Configure currency formatting, total revenue calculations, and date and region constraints to ensure accurate, consistent data.
Course Materials0:05

Importing Data from Various Sources (CSV, Excel, and External Sources)5:43
Import data from csv, excel, and external sources into Excel, using get data from text or csv, loading files, and structuring large datasets for analysis.
Structuring Data Consistently for Marketing Analysis6:20
Learn how to structure data consistently for marketing analytics by removing duplicates, standardizing dates, cleaning text, validating inputs, and formatting numbers to enable accurate analysis and impactful dashboards.
Cleaning Data for Accuracy4:21
Master practical Excel data cleaning: convert text to numbers, standardize names with proper case, remove dollar signs, apply currency formatting, and prepare consistent data for marketing analytics.
Advanced Cleaning Techniques8:46
Learn to clean and standardize marketing data in Excel by grouping dates, using the substitute function, and formatting dates, payments, emails, and contact numbers for analysis.
Cleaning data using Gen AI3:51
Clean and structure data in Excel by trimming spaces, saving as structured data, comparing to unstructured data, and using AI tools like Copilot or ChatGPT to format dates and numbers.

Lookups and Reference Functions (VLOOKUP)6:43
Remove duplicates to clean data, then link two campaign datasets with vlookup by campaign ID to pull engagement scores and compute ctr from clicks and impressions.
Lookups and Reference Functions (INDEX-MATCH)4:12
Master index and match lookups to retrieve values from an array using exact, less than, or greater than matches, when identifying campaign IDs to pull conversion rates.
Logical and Conditional Functions (IF, AND, OR, and Nested IFs)5:28
Explore how to use Excel logical and conditional functions—IF, AND, OR, and nested IFs—to classify campaigns by performance metrics, apply conditional formatting, and handle errors with Iferror.
Aggregating Data with SUMIF, COUNTIF, and AVERAGEIF3:45
Aggregate and analyze marketing data with sumif, countif, and averageif to summarize ad spend, campaign counts, and average CTR across platforms like YouTube and TikTok.
Calculating Key Marketing Metrics (CTR, Conversion Rate, ROI, CPA, and CLV)5:22
Calculate and interpret key marketing metrics, CTR, conversion rate, ROI, CPA, and CLV, using clicks, impressions, conversions, revenue, and ad spend to inform data driven decisions and dashboards.
Introduction to Macros and Basic VBA Scripting for Automation4:50
Automate repetitive dataset tasks by recording macros with VBA, using the developer tab to save macro-enabled workbooks and test them on new data with relative references.

Organizing Data by Dates and Setting Up Dynamic Filters5:14
Sort the purchase date from newest to oldest and apply filters to narrow data by date and period. Extract year, month, and day with text formulas to analyze patterns.
Advanced Date Functions (EOMONTH, EDATE, DATEDIF)4:12
Explore EOMONTH, EDATE, and DATEDIF to compute end-of-month dates, future or past dates, and date differences for deadlines, warranties, and project timelines in marketing analytics.
Calculating Moving Averages and Visualizing Trends Over Time4:27
Master calculating moving averages over a three-week period to smooth revenue data, reveal trends, and visualize them in a chart for tracking click-through rate, conversions, and campaign performance.

Creating Key Visuals for Marketing (Bar, Column, Line, and Pie Charts for Market7:20
Master data visualization for marketing by using line, bar, pie, and scatter charts to reveal trends, proportions, and relationships, while applying color theory, labels, and clear axis titles for clarity.
Advanced Visualizations for Marketing Insights (Combo, Waterfall, Bullet, etc.)5:31
Explore advanced visualizations for marketing analytics, including combo charts, waterfall charts, and bullet charts, to compare metrics like ad spend and revenue, reveal inefficiencies, and track targets.

Summarizing Data Using Pivot Tables7:07
Learn to create and organize pivot tables to summarize revenue, ad spend, and ROI by platform, region, and date, building interactive dashboards for clear data insights.
Adding Pivot charts and Slicers4:33
Create and tailor pivot charts from pivot tables to visualize ad spend versus revenue, monthly revenue trends, and conversions by region, with slicers for date, platform, and region.
Dashboard Layout and Design Best Practices4:17
Link slicers to pivot tables to affect pivot charts, create region CTR charts, and design a marketing performance dashboard with a cohesive theme, title, and key metrics.
Adding Key Metrics3:01
Populates the dashboard by adding metrics such as total ad spend, total revenue, ROI, and average CTR, formats currency and percentage values, and aligns text boxes for a uniform display.
Completing the Dashboard4:25
Build a dynamic marketing analytics dashboard by arranging charts, enhancing readability, and customizing slicers to reveal interactive metrics like total ad spend, total revenue, and click-through rate.

Dashboard Layout Design3:57
Design a sales and revenue growth dashboard for marketing analytics using a large transaction dataset with region, sales channel, product category, units sold, and revenue, plus slicers.
Creating Pivot Tables and Metrics4:20
Building Charts and Slicer Sheets2:02
Create pivot charts and slicers from pivot tables, using clustered bar charts, 3d pie charts, and area charts; connect slicers for dates, regions, sales channels, and product categories.
Adding Metrics to the Dashboard2:25
Add metrics to the dashboard using white shapes for total revenue, top region, and top category; copy formatting for consistency; insert text boxes using the dataset and icons.
Integrating Charts into the Dashboard3:46
Add and format pivot charts and slicers on the dashboard, adjusting layout, titles, and colors to showcase revenue growth over time, revenue by geographic region, and revenue by sales channel.
Course Conclusion and Wrap-Up4:18
Create dynamic, interactive marketing dashboards in Excel by adding and styling slicers, linking metrics and charts across date, region, channel, and category to reflect selections in real time.

Requirements

Basic understanding of marketing concepts (helpful but not required).
A computer with Microsoft Excel installed.
No prior data analysis experience needed.
Eagerness to learn and explore Excel tools.

Description

Are you drowning in marketing data, spending endless hours updating reports when you should be crafting strategy? Imagine transforming those mundane spreadsheets into stunning, automated dashboards that tell your marketing story at a glance.

Welcome to "Dynamic Excel Reports for Marketing Analytics" – where we turn data overwhelm into your secret weapon for success.

This isn't just another Excel course. We're here to revolutionize how you handle marketing data, taking you from basic spreadsheets to sophisticated, automated dashboards. You'll master essential marketing metrics, from CTRs to customer lifetime value, while learning the power of automation and Gen AI for effortless data cleaning.

The real transformation happens in our hands-on dashboard projects. You'll create interactive visualizations that make your data sing, building both a performance marketing dashboard and a revenue tracker that answer questions before they're asked. Every technique you learn is grounded in real marketing scenarios, ensuring you can apply your skills immediately at work.

Think of this as your journey from spreadsheet struggle to dashboard mastery. By the time you finish, you'll be creating automated reports that update in real-time, designing intuitive visualizations, and presenting data stories that captivate your audience. You'll become the go-to analytics expert on your team, armed with the skills to turn raw data into actionable insights.

The future of marketing is data-driven, and the time to level up is now. Join thousands of marketing professionals who have already transformed their reporting game. Don't let another week go by struggling with static spreadsheets – enroll now and start creating reports that don't just present data – they drive decisions and deliver results.

Who this course is for:

Marketing professionals looking to enhance analytics skills.
Data enthusiasts eager to learn Excel for marketing insights.
Business owners aiming to track and optimize performance.
Students pursuing careers in marketing or data analysis.
Beginners wanting to learn marketing data visualization.
Anyone interested in creating dynamic dashboards with Excel.

Dynamic Excel Reports for Marketing Analytics

What you'll learn

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Course content

Introduction to Marketing Analytics and Excel Reporting6 lectures • 30min

Data Importing, Cleaning, and Structuring5 lectures • 29min

Fundamental Excel Functions for Marketing Analytics6 lectures • 30min

Time-Based Analysis and Trend Analysis3 lectures • 14min

Data Visualization Techniques for Marketing Insights2 lectures • 13min

Project 1 - Building Interactive Performance Marketing Dashboard5 lectures • 23min

Final Project – Interactive Sales and Revenue Dashboard6 lectures • 21min

Requirements

Description

Who this course is for: