A/B tests can help resolve a variety of issues running rampant on your website and help you drive better results. But with only one in seven A/B tests generating any uplift, and every test costing your team significant time and effort, learning how to run profitably and impactful digital experiments is critical.

Join Jessica Hutchinson and Michiel Dorjee of Optimizely to see how they successfully used A/B testing and other types of digital experiments to improve engagement and conversions on both Optimizely’s website and for Optimizely clients.

In just 20 minutes, you will learn:

– Why A/B testing is such a powerful optimization methodology
– Top challenges to prepare for during an A/B test
– How to calculate the value of your A/B testing program
– More complex experiments you can run beyond A/B testing

Google Ads Experiments let you test components of your campaigns to see if an ad variant, bidding strategy, or any other number of variables could help you perform better. In this video, we’ll walk you through the set up process for an Ad Variant Experiment as well as a Custom Experiment to test new bidding strategies. We’ll also show you how to review performance data and determine a winner once your experiment has been running for a while.

0:56 – Quick Recap on the Old Way to Set Up Google Ads Experiments
2:47 – The New Purpose for Drafts in Google Ads
3:37 – Start of New Experiments Flow in Google Ads
3:53 – Experiments Menu in the Left Hand Navigation
4:26 – Google Ads Experiment to Optimize Text Ads Demo
4:53 – Filtering Campaigns and Ads for the Ad Text Experiment
7:00 – How to Create New Ad Variants to Test
8:59 – Quick Overview of Launch Settings for Ad Experiment Test
10:15 – Creating a Custom Experiment in Google Ads
10:29 – Experiment Settings and Filtering for Campaigns
11:49 – Understanding Campaign Structure for a New Custom Experiment Campaign
12:19 – Customizing Your Trial or Experiment Campaign with Custom Experiments
13:16 – Scheduling & Settings for Custom Campaign Experiments
13:43 – Determining Experiment Goals
15:24 – Budget Allocation and Experiment Breakdowns
16:16 – Cookie vs Search Based Experiments
17:28 – Choosing Experiment Date Ranges
18:14 – Enabling Sync Changes Across Base and Trial Campaigns
19:59 – Analyzing Performance of Experiment Campaigns

#googleadsexperiments #googleadscampaignexperiments #googlecampaignexperiments
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A/B testing can help turn more of your site visitors into loyal fans and customers, and we’ll explain how.

In this video, Internet Marketer Amy will cover:
Introduction to A/B testing // 00:00:00
What is A/B testing? // 00:00:20
Why use A/B testing? // 00:01:16
What elements you can A/B test // 00:02:25
How to conduct an A/B test // 00:04:09
How long you should run an A/B test // 00:06:25
3 tips for A/B testing // 00:06:56

What is A/B testing, you ask?

A/B testing basically means you make a variation of your content and test it against your original content. You can test everything from web design, to videos, to emails.

So if you wanted to see how you can improve a contact form on your website, you would make a new form and compare its performance against the old form. The “winner” of the A/B test would be the form that has the better conversion rate, meaning more people filled it out.

A/B testing goes along with conversion rate optimization, which is a marketing tactic that aims to increase the rate at which people take action on your content.

A conversion doesn’t necessarily have to be a purchase, but it can be. Examples of other conversions include downloading something from your website or signing up for your emails.

Amy has some A/B testing examples to inspire you with your own testing.

How do you run an A/B test?

Use the scientific method. We’ll explain how each step relates to your tests. Don’t worry. We had to Google the steps, too.

You’ll need to use some A/B testing software to run your tests. This software includes Google Optimize, Optimizely, and Visual Website Optimizer. You can also analyze how people use your website with tools like Crazy Egg, Hotjar, and Userlytics.

What are some tips for A/B testing?

1. Test only one element at a time
2. Don’t just test things that are broken. Try to make something that works even better.
3. Don’t be afraid to take risks.

If you’re looking to dive into conversion rate optimization and A/B testing, don’t hesitate to reach out to our team of experts: https://www.webfx.com/digital-marketing/services/conversion-rate-optimization/

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Google Ads has an awesome tool to test & scale ad copy in an effective way. They’re called Ad Variations. If you haven’t used them before – you’re able to test one facet of your ad & then scale with ease.

You can simply develop and test ad variations across different campaigns or your whole account with ad variations. For example, if you modify your call to action from “Buy now” to “Buy today,” you can see how effectively your ads work. Alternatively, across several campaigns, try modifying your headline to “Call Now for a Free Quote.”

To make an ad variation, start by deciding on the scope. The account as a whole, selected campaigns, or a ad groups scope are all possibilities. You can select from a variety of ad types, including text advertisements and responsive search ads. Then you make the variation — for example, replace “A Headline” with “Another Headline.” Finally, you specify the additional specifics of the variation, such as the end date and the percentage of visitors that the updated ads will be shown to. In this video, I show how many use cases for ad variations on Google Ads.

Checkout the video & let me know if you have any questions or comments!

TABLE OF CONTENTS:

0:00 – Ad Variations in Google Ads
0:25 – What are Ad Variations?
1:00 – How to build an ad variant
3:17 – Measuring success with ad variations

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#googleads #variations #ppc