A/B testing open source software solutions have their supporters, and detractors. When should you go open source, what options do you have, and when do you need an exit plan?
What is an A/B Testing Open Source Software Solution?
An A/B testing open source software solution is one that allows you - the optimizer - to be in complete control of the code that drives the engine serving variations to traffic, collecting results, and creating reports to help you zero in on web page changes that can boost important KPIs.
You have the privilege of owning the experiments you hypothesise and the customer data you collect, across all the channels you wish to improve conversions for.
Most A/B testing software open source solutions lead with the promise of better security, more customizations, ease of deployment, and a robust API that delights developers looking to dig deeper into a platform and amp up its capabilities.
The debate of open source vs. commercial 3rd party tools is one that rages across multiple industries and disciplines.
But in the realm of optimization and A/B testing where most recognized industry players look to serve enterprise customers, open source is emerging as a popular alternative to lower the entry into A/B testing without getting locked into costly annual contracts.
Outgrown Your A/B Testing Open Source Software Solution? What’s Next?
Technically you can’t outgrow an open source A/B testing solution. It though can outgrow your organization in terms of the maintenance it needs to continue delivering desired results.
Under such circumstances if you are shifting to a commercially maintained tool, you should look to “import” as many advantages of the open source format as you can.
Ask these questions:
When Should You Use an A/B Testing Open Source Software Solution?
How to Spot an A/B Testing Open Source Software That is Worth It?
When it comes to investing in an open source A/B testing software solution, you must keep in mind that nothing is truly free.
You will spend hours installing and updating the tool to get it to work just the way your organization needs it.
The last thing you want is for the community around the project to disappear or fall into disengagement taking away most of the advantages of the open source format.
Evaluate projects based on the following criteria:
A robust hypothesis may not be the answer to all testing woes, but it does help prioritisation of possible solutions and leads testing teams to pick low hanging fruits.
Based on our research and feedback on the internet, here are some open source A/B testing frameworks that may be worth your time: