A/B Testing

Automated A/B Testing to Compare Legacy and Modern Systems.

A/B testing is a way to compare two versions of something to see which one works better. For example, you might test two different headlines on a webpage to see which one gets more clicks or leads.

You show Version A (the current one) to half of your audience and Version B (the new version) to the other half. Then, you measure which one performs better based on your goal  like sign-ups, sales, or time spent on the page.

A/B testing  a practical way to make better decisions using data instead of guesswork. You can test anything from buttons and headlines to full pages or email subject lines.

A/B testing plays a cental role at Core when developing, migrating and testing Legacy based batch jobs. Processes like the End-Of-Month invoice process, end of year book or order placement processlend themselves quite nicely to A/B testing. It is by using this type of test methodology where we compare that data read, write and rowscounts match between the Legacy and the new version of the migtrated solution.

How A/B Testing Works

  1. Choose a goal – What do you want to improve? Clicks, sign-ups, or something else?
  2. Create two versions – One is your original (A), and the other has one change (B).
  3. Split your audience – Half see version A, half see version B.
  4. Run the test – Let it run long enough to get accurate data.
  5. Look at the results – See which one performed better.

Apply the winner – Use the better version going forward.

 

How A/B Testing Can Help With Migrations

If you are moving to a new website or platform, A/B testing can be a smart way to test changes before making them permanent. You can test:

  • New layouts
  • Different page copy
  • Button styles or placement
  • Form designs
  • Test old and new functionalities
  • Ensure key features are working as intended

This way, you can make sure any changes improve results, rather than hurt them. It adds an extra layer of confidence during migrations and redesigns.

Pros and Cons of A/B Testing

Pros

1. A/B Testing is based on real data

Instead of guessing, you’re making decisions based on what actually works with your audience.

2. A/B Testing can boost results

Even small changes — like a different button or headline — can lead to more clicks, sales, or sign-ups.

3. A/B Testing improves user experience

By testing and refining what works best, you make your site easier and better for people to use.

4. A/B Testing is low-risk

You’re not changing everything at once. If something doesn’t work, you can go back easily.

5. A/B Testing helps grow your business

Better results from the same traffic mean you’re getting more out of what you already have.

Cons

1. A/B Testing takes time

You have to plan, run, and wait for results. It’s not instant.

2. You can only test one thing at a time

If you change too much at once, it’s hard to know what made the difference.

3. You need enough traffic

Small sites might not have enough visitors to run meaningful tests.

4. Bad setup can lead to bad results

If you don’t set up the test properly or run it too short, you could make the wrong decision.

5. It won’t fix everything

If your overall offer, message, or design is off, small tests won’t fix that. A/B testing works best once the basics are already solid.

Final Thoughts

A/B testing is simple in concept, but powerful when used consistently. It helps you get better results without guessing and lets you improve application step by step.

A/B testing not always fast, and it will not solve every problem, but it is one of the most reliable ways to find out what actually is different between the legacxy and migrated environment.

If used properly, especially during big changes like migrations or new launches, A/B testing can save time, reduce mistakes, and improve performance across the board.

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