A/B testing (also known as split testing) is the process of comparing two versions of a web page or app screen to see which one performs better. This comparison can be benchmarked against any goal you set, from increasing sales to reducing bounce rate, or increasing conversion rate and more.
Running A/B tests takes the guesswork out of improving the performance of your website and allows you to make data-informed decisions about what works and what doesn’t. As long as the goals are clearly defined, A/B testing can be used continuously to optimize your website or app.
There are a number of tools to help you implement A/B testing and gain valuable customer insights. In true A/B testing fashion we are pitting the two heavyweights on the market against each other to see which one comes out on top.
Google Optimize vs Optimizely
Both services offer similar functionalities:
- easy to use visual editor
- A/B testing + Multivariate testing + Redirect tests
- advanced targeting options
- advanced reporting section (Google Optimize seems to show a bit more information in the reports)
But here are their different plus (+) points…
- Data/metrics consistency — native integration with all other google analytics tools/services
- Deep integration with: Google Analytics / AdWords / AdSense
- Use pre-set Google Analytics goals as experiment objectives
- Results automatically fed back into Google Analytics
- Chrome extension for A/B tests creation
- Interactive mode to work with dynamic website elements
- Traffic allocation settings
- Advanced targeting option (geolocation / URL / audience / technology / custom code, etc — see Google Optimize for Business
- Easy to use and install
- 65 plus integrations including Drupal integration out of the box (using an official module you can easily add Optimizely’s JS code to any page)
- Multi-page tests
- Simple real-time editor to create AB tests and goals
- Advanced targeting options (single page / whole website / user type / additional and complex conditions — see Optimizely Demo on Zaarly.com
- Experiment on Apps or TVs (Optimizely X Full Stack)
- Traffic allocation (the % of users that should see each test variation)
- Schedule tests to start & stop at a specific time
- Personalize your site based on your 1st and 3rd party data and visual tags (Optimizely X Web Personalization)
Which one should you use?
Well that depends (you knew that was coming!). If you are heavily using Google Analytics 360 products then Google Optimize has a massive advantage with its native integration and ability to leverage key insights your business has already discovered. However if you are after a more powerful, developer-flexible testing solution across multiple channels then you might lean more to Optimizely X.