LiveShift

Most A/B testing tools test one change at a time and split traffic evenly until the test ends, so learning what works is slow.

• Several experiments run on a single campaign at once.
• Traffic shifts toward the variants that are winning as results come in, instead of waiting for a test to finish.
• Results update in real time, connected to the published content and its analytics.
• An automated research loop reads each result and sets up the next experiment.

A team runs more experiments, faster, and gets from an idea to a measured answer the same way every time. Two developers built it start to finish on the Viable Coding setup.