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Internet Marketing Checklist – 18 Split Testing and Optimization Checklists
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Internet Marketing Checklist – 18 Split Testing and Optimization Checklists
Internet Marketing Checklists by BuyQualityPLR.com
Checklists Created To Help You With Split Testing and Optimization
Use these marketing checklists to simply the process of doing Split Testing and Optimization.
We personally use these checklists when doing our marketing and you can too!
These checklists are delivered in PDF format. So you can print them and use them as a step by step guide of tasks you need to plan and complete while doing Split Testing and Optimization.
It’s much easier to succeed at your marketing if you’re planning properly and these checklists are designed to help you do exactly that.
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Introducing…
Internet Marketing Checklist – 18 Split Testing and Optimization Checklists
Here’s the List of 18 Split Testing and Optimization Checklists You’ll Get:
Checklist 1 – Selecting A Data Analysis Tool
Checklist 2 – Researching On Websites Performance Operations
Checklist 3 – Identifying What To Test
Checklist 4 – Formulating A Hypothesis
Checklist 5 – Selecting Your Goals
Checklist 6 – Segmenting Your Target Audience
Checklist 7 – Calculating Your Sample Size
Checklist 8 – Creating Variations
Checklist 9 – Selecting The Testing Method
Checklist 10 – Managing And Anticipating Problems Of AB Testing
Checklist 11 – Prioritizing Your Testing Opportunities
Checklist 12 – Identifying And Eliminating Confounding Variables
Checklist 13 – Preparing Your Test
Checklist 14 – Running The Test
Checklist 15 – Analyzing The Results And Deployment
Checklist 16 – Interpreting The Results Of The Test
Checklist 17 – Replicating The Test
Checklist 18 – Reporting Your Findings
Here’s the details of the checklists you’ll get in this Split Testing and Optimization checklists pack:
Checklist #1 – Selecting A Data Analysis Tool
A data analysis tool is essential in the split testing and conversions optimization process. It allows you to analyze data and make decisions based on it. In this checklist we’ll go over some of the best data analysis tools on the market.
Checklist #2 – Researching On Website’s Performance/Operations
One of the key steps towards AB testing is analyzing and measuring your website’s or campaign’s performance and understanding which parts are underperforming. In this checklist we show you exactly how to do that.
Checklist #3 – Identifying What To Test
Not every element of your website or marketing campaign is worth testing. It’s important to identify opportunities that have the biggest potential and require the least amount of effort so you could score some fast and easy wins. In this checklist we’ll show you exactly how to find such opportunities.
Checklist #4 – Formulating A Hypothesis
Once you identify an opportunity, it’s time to form a hypothesis based on your research. A hypothesis sets the scope and criteria for your testing and therefore prevents you from basing your campaigns on guesses. In this checklist we show you how to build a solid hypothesis.
Checklist #5 – Selecting Your Goals
Setting specific and attainable goals is extremely important when optimizing for conversions, it allows you to track your progress with each and every test. In this checklist we show you how to choose the right goals for your CRO campaigns.
Checklist #6 – Segmenting Your Target Audience
Segmenting your audience enables you to understand your target audience and thus determine which AB tests to conduct on specific visitors. In this checklist we show you proper ways to segment your audience.
In order to carry out an effective test campaign you have to find out the correct sample size so you would know you have significant data to make the decision whether the test was successful or not. In this checklist we show you how to calculate correct sample size.
Checklist #8 – Creating Variations
Based on your hypothesis is time to create variations and put them up against the previous version of your website or campaign. In this checklist we show you how to create your variations properly.
Checklist #9 – Selecting The Testing Method
There are multiple testing methods depending on what you are testing and the nature of your tests. It is important to know when to use a particular testing method to avoid running incorrect tests and getting inaccurate results and data. In this checklist we cover all of that!
Checklist #10 – Managing And Anticipating Problems With AB Testing
Like any other experiment, AB tests are characterized by multiple problems that if undetected can potentially affect the effectiveness of the tests and have a negative impact on the accuracy of the results. In this checklist we’ll help you understand the types of problems that pose validity threats to your tests and explain how you can solve them.
Checklist #11 – Prioritizing Your Testing Opportunities
Once you have set your goals, defined your KPIs and identified what to test, the task becomes prioritizing what to test from the list of identified variables. While your analytics data provides myriad data options for you, it is always advisable to prioritize split tests that have potentially more value to your results. In this checklist we’ll explain based on what you should prioritize your testing opportunities.
Checklist #12 – Identifying And Eliminating Confounding Variables
Confounding variables, also referred to as confounding factors or third variables refer to the elements that a tester omitted while carrying out a statistical test, which implies that they were unidentified and thus not eliminated or controlled. In this checklist we’ll show you how to identify and eliminate confounding variables.
Checklist #13 – Preparing Your Test
After setting up your goals, identifying the target audience, and selecting the appropriate testing method, it is now time to prepare for the running of the tests. In this checklist we show you how to make sure that everything is set up properly and you are ready to start testing.
Checklist #14 – Running The Test
Once you have ascertained all the necessary pre-launch requirements, it is now time to run the experiment. In this checklist we explain what you can expect and the things you should keep your eyes on.
Checklist #15 – Analyzing The Results And Deployment
The result analysis process begins once you determine that your AB test has run its course and has gathered enough data. In this checklist we show you how to analyze your data the right way and make the right decisions based on that data.
Checklist #16 – Interpreting The Results Of The Test
Your interpretation of the results from the AB test is largely influenced by the goals, objectives and the set metrics for success. While your test measures multiple variables, your interpretation should focus on the variables that are valuable to your site. In this checklist we dive deep into how you should interpret the results of your tests.
Checklist #17 – Replicating The Test
The replicating process has more to do with understanding how changes were brought about by the variables and seeking to achieve the same effects by applying similar conditions to the initial test. In this checklist we show you how to replicate the test and continue improving your conversions even further.
Checklist #18 – Reporting Your Findings
The final step following your analysis of the test results is sharing a report of your experiment process, findings, recommendations and giving your conclusion. For the purpose of consistency, it is important to have a structure and format when conveying the report and in this checklist we show you exactly how to do that.
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