Less
  • 👋Welcome to Less
  • 🏃 Getting Started
    • A Quick Overview
    • Storage
    • Connectors
    • Modelling
  • 🏃 Exercises
    • Data-Driven Ecommerce
      • Hints
    • Automated Financial Analysis
      • Hints
        • Part 1 - Profit & Loss
        • Part 2 - Metrics
        • Part 3 - Accrual-Based Accounting
    • AI-driven product reviews
      • Hints
  • 🔌 Connectors
    • Intro to Connector
    • Connector Guides
      • AWS Billing
      • Billy
      • Bing Ads
      • Python Connection
      • Customer.io
      • CVR Virk
      • DAWA
      • Dinero
      • DMI
      • ECB Exchange Rates
      • Meta Ads
      • Facebook Page Insights
      • Google Ads
      • Google Analytics
      • Google Sheets
      • Heap.io
      • HubSpot
      • HubSpot Email Marketing (coming soon!)
      • Instagram Page Insights
      • ISO Calendar
      • LinkedIn Ads
      • Mailchimp
      • Matomo
      • Marathon (coming soon!)
      • Mixpanel
      • MongoDB
      • MSSQL
      • MySQL
      • PostgreSQL
      • Salary.dk
      • Slack
      • Stripe
      • Trustpilot (coming soon!)
      • WooCommerce (coming soon!)
      • Zettle
  • 🧊 Modelling
    • Intro to the Canvas
    • Action Guides
      • Basics
        • Input
        • Output
        • Fill
        • Filter
        • Formats
        • Limit
        • Rename
        • Replace
        • Pick
        • Sort
        • Text Transform
        • Unique
      • New Columns
        • Compare
        • Cumulative
        • Date Difference
        • Date Format
        • Date Math
        • Difference
        • Calculate
        • IF Column
        • Text Column
        • Parse JSON
        • Row ID
        • Running Interval
        • Split Columns
      • Reshape
        • Pivot
        • Group By
        • Transpose
      • Merge
        • Append
        • Combine
        • Stack
  • ⛔ Advanced Databases & Security
    • Security
    • Link Database
    • Whitelisting of IPs
  • 🔐 Roles and Permission
    • Basics
    • Abilities
    • Roles
    • Groups
  • 📞 REST API (beta)
    • Basics
    • Endpoints
Powered by GitBook
On this page
  • Introduction
  • Getting Started
  • Solution File
  1. 🏃 Exercises

Data-Driven Ecommerce

PreviousModellingNextHints

Last updated 9 months ago

In this exercise, you'll how to work with paid marketing and orders data to generate a number of metrics to evaluate the effectiveness of your marketing campaigns.

You'll learn tool such as Date Format, Group By and Calculate

There are hints to help you get through this exercise. You can also download our solution model and import it in your own model. The file are available at the end of this page.


Introduction

You can view the introduction to this exercise in the file below.

Getting Started

  • The first step of this exercise is to get the right data. Navigate to the folder where you want to work. Go to Create -> New Connection -> Search for "exercise" and choose the Data-Driven Ecommerce

  • Inside a new model (Create -> New Model) you can now begin working with the data. Drag an Input tool to the Canvas -> Search for the name of the Connector -> Click on a table to select it -> Click Save and Run -> See the data in the preview table at the bottom of the view


Solution File

You can import a solution files from the Canvas.

68KB
Ecommerce.less
9MB
Ecommerce Exercise.pdf
pdf
Finding the data