OWC Monthly Add-on: Introducing A|B Testing For All Sites

OWC Monthly Add-on: Introducing A|B Testing For All Sites

Summary

Categories: Marketing A/B testing, or split testing, is a vital method for optimizing your website by comparing two versions of a webpage to identify which performs better. This approach enables businesses to make informed decisions, enhance user experience, boost conversion rates, and continuously refine their digital presence. Key Benefits of A/B Testing: ā†’ Data-Driven Insights: Make decisions based on concrete data about what resonates with your audience. ā†’ Improved User Experience: Discover which design and content changes lead to better user engagement. ā†’ Higher Conversion Rates: Identify variations that significantly increase key metrics like sales or sign-ups. ā†’ Risk Mitigation: Safely test new ideas on a small scale before implementing them widely. ā†’ Ongoing Optimization: Continuously update and refine your website to meet evolving user preferences. What Clients Can Expect: Clients receive a monthly report detailing the performance of A/B test variations, including data analysis, visual comparisons, and insights into user behavior. The service also provides actionable recommendations for future tests and improvements, ensuring a cycle of continuous enhancement and optimization.

Category
MarketingRoadmap
Assigned To
Eli Weldon
Status
Completed
Start & Finish Date
July 12, 2024 ā†’ August 5, 2024
Products
šŸ†
Customer facing feature display content

A/B testing, or split testing, is a vital method for optimizing your website by comparing two versions of a webpage to identify which performs better. This approach enables businesses to make informed decisions, enhance user experience, boost conversion rates, and continuously refine their digital presence. Key Benefits of A/B Testing:

  • Data-Driven Insights: Make decisions based on concrete data about what resonates with your audience.
  • Improved User Experience: Discover which design and content changes lead to better user engagement.
  • Higher Conversion Rates: Identify variations that significantly increase key metrics like sales or sign-ups.
  • Risk Mitigation: Safely test new ideas on a small scale before implementing them widely.
  • Ongoing Optimization: Continuously update and refine your website to meet evolving user preferences.

What Clients Can Expect: Clients receive a monthly report detailing the performance of A/B test variations, including data analysis, visual comparisons, and insights into user behavior. The service also provides actionable recommendations for future tests and improvements, ensuring a cycle of continuous enhancement and optimization.

šŸ†
A|B testing

A|B testing results.

The new variation performed significantly better with a 15% lower bounce rate.

Removed

Original
Original

Winner

Version being tested
Version being tested

New A|B test

This month we implemented a new A|B test focused on finding the optimal call to action.

Original
Original
Version being tested
Version being tested

Objective:

Impact:

Can use gpt to recommend changes, takes about 20 minutes per client

Can implement a new A|B test on monthly report creation

To Do

  • Have adnan make current changes
  • List in Klesk monthly report that we have started making the changes
  • What is the cost for me to manage this on-going and how to I introduce it to Aguard, Vernon, and Hepworth
    • Do I include google ads managment in it too?
  • Do in next monthly report and when done create a process and recurring task