Have You Tested Your Landing Pages Lately? – Infographic

A detailed Infographic on how to test and improve your landing pages and marketing results, difference between A/B testing and Multivariate testing,important landing page element , landing page testing mistakes and lot more.

What is A/B Testing

A/B testing or split testing is an experimental approach to compare two versions of a landing page (A and B), which are identical except for one variation that might impact a user’s behavior and to find out the most effective version.

What is Multivariate Testing

Multivariate testing enables you to test many changes simultaneously

A/B testing Vs Multivariate Testing

A/B Testing – Test different versions of a web page, and split the traffic evenly between each page

Multivariate Testing – Test different elements within a single web page. Ideal for high traffic websites

Major Areas to  Test on a Landing Page

  • Headline of the Page
  • Call to Action Buttons
  • Pricing Strategies
  • Landing Page Image
  • Unique Selling Proposition (USP)
  • Sales Copy
  • Text font and Style
  • Page Layout and Design

15 Steps to successful testing campaign

  1. Have a clear testing plan
  2. Have well defined clear and measurable conversion criteria
  3. Identify the important elements to test
  4. Use proper testing tools
  5. Determine whether A/B or multivariate testing is appropriate
  6. Access current traffic and conversion rates
  7. Determine target conversion goals
  8. Determine number of scenarios to test
  9. Determine time span to run tests
  10. Create variations of different testing elements
  11. Install and deploy different test scenarios
  12. Measure test results and findings
  13. Do more changes based on findings
  14. Conduct follow up tests
  15. Track Improvements

Major Landing Page Testing Mistakes You Should Avoid

  • Do not have an effective testing plan
  • Testing with very low traffic
  • Testing too many elements
  • Not establishing the criteria of success
  • Not conducting follow-up experiments
  • Not monitoring tests when running
  • Not tracking external factors
  • Running tests for too long
  • Testing small changes and ignoring big concepts
  • Getting caught up in opinions
  • Not measuring the entire funnel

Source: invesp Blog


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