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Advanced Google Ads / AdWords Training - Updated for 2019

Advanced Google Ads / AdWords Training - Updated for 2019

  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 5 hours 44 minutes

  • All levels

Description

The course is designed for Google Ads (Google AdWords) practitioners that already have basic knowledge in setting up and running AdWords accounts. The course explores advanced techniques and ideas that I have picked up and developed over 10 years running AdWords campaigns for small to large scale clients.

I explain the idea behind each technique and I give you ideas and example cases on how I have used it. I then show you how to set it up step by step inside Google Ads. We also look at how to interpret results and how to apply it to your own campaigns, we look at real data and actual results.

What you'll learn
  • Google Ads Campaign Experiments: Best Use Cases, Step-by-Step Setup, Analysis, Implementation

  • Access Google Ads tools for forecasting performance

  • Budget Optimisation techniques using regression formula

  • Advanced Concept Testing: moving beyond A/B ad testing to testing concepts

  • Improving Geotargeting for Local Businesses With A Double Campaign Structure

  • How To Setup, Run, Pivot & Interpret the Paid & Organic Report

  • Make A Strong Argument For Running Branded Ads Using the Paid & Organic Report

  • Identify Opportunities Between Organic & Paid Listings

  • Learn to use a free Google Sheets template for automating and tracking budgets in multiple ad accounts

  • How to find the key pitfalls in any Google Ads account

  • How to Audit a new or existing Google Ads account and find issues to improve upon quickly

  • Utilise Dynamic Ad Customisers for more personalised ads

  • Understand the power of using Google Analytics with Google Ads and be familiar with Audience setup and relevant Google Ads reports in GA

  • Understand attribution models and why the default last click is not always ideal

  • Implement Machine Learning features within Google Ads to benefit your account in ways that human optimisation could never reach

  • Develop a multi-funnel remarketing strategy for GDN and search campaign

Requirements
  • Able to set up your own Google Ads account

  • Be confident navigating Google Ads accounts

  • Basic exposure to excel filtering & pivot tables

Introduction

1. Introduction

00:02:00

Testing to Ad Concepts

2. Introduction to Ad Concepts

00:02:00

3.Example Ad Concepts

00:04:00

4. Label Setup

00:04:00

5. Reporting on Ad Concepts

00:08:00

Google Ads Paid % Organic Interaction Report

6. Understanding the usefulness of this report

00:03:00

7.Linking Google Ads with Search Console

00:04:00

8.Excel Report Setup & Pivot

00:04:00

9.Identifying Google Ads & SEO Search Term Opportunities

00:02:00

10.CTR Interaction between SEO & SEM

00:06:00

Geolocal Campaigns - Double Campaign Structure

11.The theory behind the double campaign

00:04:00

12.A practical example inside Google Ads

00:03:00

Google Ads Campaign - Experiments (Drafts & Experiments)

13.Introduction to Drafts & Experiments

00:05:00

14.Example experiment Ideas for use

00:06:00

15.Draft & Experiment Setup

00:10:00

16.Report Analysis & explanation of symbols

00:05:00

Automate Budgeting for Multiple Ad Accounts

17. Introduction to the Google Spreedsheet template

00:02:00

18. Data Inputs

00:04:00

19. Reading the sheet output

00:06:00

AdWords Audit

20. Audit Overview

00:02:00

21. Auditing the Account Structure

00:08:00

22. Campaign Settings

00:04:00

23. Auditing on the AdGroup Level

00:10:00

24. Other Things to look for in an Audit

00:08:00

Remarketing Strategy & Implementation

25. Why Remarketing Works

00:03:00

26.GDN Remarketing

00:06:00

27.Remarketing Lists for Search Ads (RLSA) & IF Statements

00:04:00

28. Customer Match (Email Retargeting)

00:01:00

29. Dynamic Remarketing

00:04:00

30. Lookalike Audiences

00:02:00

31. GDN Banner Sizes & Other Things to Consider

00:03:00

32. Audience List Sharing

00:14:00

33. Remarketing with Events

00:06:00

Artificial Intelligence & Machine Learning

34.What is AI & ML

00:06:00

35. Auto Rotate for Budgets & Ads

00:03:00

36.Dynamic Search Ads

00:03:00

37.Smart Bidding Strategies

00:07:00

38.Lookalike Audiences

00:02:00

39.Data Driven Attribution Models

00:03:00

Dynamic Ad Customisers

40.Introduction to Ad Customisers

00:04:00

41. Advantages & Example Uses

00:05:00

42.Setting up the Business Data Feed

00:06:00

43.Best Practice for Ads

00:03:00

Google Analytics for Google Ads

44. The Advantages of linking AdWords with GA

00:04:00

45. Linking GA & AdWords

00:02:00

46. AdWords Reports in GA

00:01:00

47. GA Conversion Tracking & Goal Setup

00:07:00

48. Remarketing Segments in GA

00:13:00

49. Attribution Models in Google Analytics

00:07:00

Using Scripts

50. Introduction to AdWords Scripts

00:04:00

51. 404 Link Checker Script

00:07:00

52. Experiment Results Script

00:07:00

53. Google Ads Audit Script

00:06:00

AdWords Editor

54. Introduction and advantages of AdWords Editor over the online interface

00:04:00

55. Example Uses for AdWords Editor

00:04:00

56.AdWords Editor - what you can't do

00:02:00

Competitor Research Tools

57.Auction Insights displayed graphically

00:17:00

58.3rd Party Competitor Research Tools -SEMrush

00:16:00

Landing Page Software

59.Why Use Landing Page Software

00:06:00

60.Unbounce Walk-through

00:08:00

61. Tracking integration for landing pages

00:09:00

New Features in 2018/19

62.Ad Variations

00:06:00

63.Search Responsive Ads

00:05:00

64. Life Events Audiences

00:04:00

65. Custom Intent Audiences

00:04:00

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