In the dynamic field of digital marketing, proficiency in tools like Google Sheets is indispensable. This course begins by introducing the foundational aspects of Google Sheets, particularly focusing on its relevance and application in marketing. We address a common challenge faced by marketing professionals: maintaining the integrity and cleanliness of spreadsheets, especially when they are collaboratively used and constantly updated by multiple parties. The course starts with the basics of spreadsheet management, setting the stage for more advanced techniques.
Data Cleaning and Validation Techniques
As we delve deeper, the course shifts focus to the crucial skills of data validation and the use of regular expressions. These are powerful tools that every marketing analyst should master. We will explore various strategies to ensure data accuracy and consistency, crucial for making informed marketing decisions. Practical exercises will involve spotting and correcting errors in key metrics, utilizing data validation techniques. We will also learn how to effectively use regular expressions to organize and aggregate campaign metrics, a skill vital for handling large and complex marketing datasets.
Visualizing Data and Creating Dashboards
The final part of the course is dedicated to data visualization and dashboard creation. After ensuring our data is clean and well-organized, we will learn how to translate this information into insightful charts. These visual tools are essential for analyzing campaign performance and conveying findings in an easily digestible format. The course culminates in a comprehensive project where participants will apply all the learned skills to create a dynamic and interactive marketing dashboard. This hands-on experience will prepare you to handle real-world digital marketing datasets and derive actionable insights from them.
Data Validation for Clean Data EntryFree
In this chapter, you will explore the data validation options that Google Sheets offers to aid in clean data entry. You will also learn about the Bing and Google Ads paid advertising data you will explore throughout the course. After this chapter, you will be able to create spreadsheets that can be used by any number of people, without having to worry about disorganization.The importance of clean data entry50 xpTest your knowledge50 xpFix the errors100 xpContribute to the data set100 xpCreate dropdowns from lists50 xpMitigating campaign name errors50 xpList from a range100 xpList of items100 xpValidations using cell criteria and checkboxes50 xpText validation100 xpCheck the checkboxes100 xpPutting it all together100 xp
In the digital marketing world, naming conventions may differ among paid advertising campaigns or ad groups, which poses a problem when the user wants to analyze campaign performance. Regular expressions can help match certain strings, replace parts of strings, or extract a portion of a string. In this chapter, you will learn to use regular expressions, along with Google Sheets' built-in functions
REGEXEXTRACT(), to reorganize and aggregate data with ease.What are regular expressions?50 xpUsing regular expressions50 xpWriting regular expressions100 xpTest a string using REGEXMATCH50 xpFilter table using REGEXMATCH100 xpAggregate campaign cost using REGEXMATCH100 xpAggregate ad group cost-per-click using REGEXMATCH100 xpModify a string using REGEXEXTRACT and REGEXREPLACE50 xpRename brand campaigns using REGEXREPLACE()100 xpRename all ad groups using REGEXREPLACE()100 xpExtract brand campaign names using REGEXEXTRACT()100 xpCreate campaign IDs using REGEXEXTRACT()100 xpCleaning Campaign Names50 xpModify the campaign ID to include source100 xpHow much did each source spend?100 xpSum up campaigns with RegEx100 xp
Visualize the Data with Charts
In this chapter, you will explore Google and Bing Ad campaigns and ad group data. In addition to a refresher on some basic charts, you will explore new ways to use these charts and experiment with the chart editor settings to create both informative and visually appealing charts. You will learn to explain paid advertising data through visualizations, which is an important task in the fast-paced digital advertising world.Analyzing paid-search trends with line & area charts50 xpAnalyze cost data with a stacked area chart100 xpPlotting campaign click-through-rates with a line chart100 xpVisualizing ad group performance with column & bar charts50 xpUsing a bar chart to visualize total ad group spend100 xpAssessing campaign performance with a column chart100 xpAd group overview with 100% stacked bar chart100 xpEvaluating campaigns with pie & scatter plots50 xpAssessing campaign goal completions with a pie chart100 xpUnderstanding click through rate with a scatter plot100 xpVisualizing goal completions with a bubble chart100 xpBuild a digital marketing dashboard50 xpVisualizing impressions with a doughnut chart100 xpUsing a bubble chart to determine the better source100 xpSource performance using a standard stacked bar chart100 xp
Build a Paid Search Campaign Dashboard
In the final chapter, you will be tasked with building a paid advertising dashboard that can be dynamically filtered by both source and campaign name. After completing the chapter, you should be able to tackle almost any data mitigation or dashboard creation project that you, or your boss, may think of!Preparing the data50 xpDropdowns for source and campaign name100 xpCreate a filtered table100 xpPrep for charts with a regex driven table100 xpVisualize the data50 xpAd group impression share with a doughnut chart100 xpAd group metrics with a bar chart100 xpCampaign and ad group analysis with a bubble chart100 xpPutting it all together50 xpWho are the dashboards for?50 xpAdd a campaign dropdown filter100 xpApply dynamic filter to dashboard100 xpWrap-up50 xp
In the following tracksIntermediate Google Sheets
PrerequisitesIntermediate Google Sheets