A-B testing is a marketing term that entails using different messages and testing the reaction to each, in clicks, laughs, purchases, etc., based on the version the measured test audience seems to prefer.
More elegantly and generally, it is defined by Wikipedia:
A/B testing (bucket tests or split-run testing) is a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or “two-sample hypothesis testing” as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject’s response to variant A against variant B, and determining which of the two variants is more effective.
So returning to brand marketing, and at the risk of dismaying my statistics friends, you may have 2 versions of a product/service, a commercial message, a LinkedIn profile (you knew that was coming) that you want to run and absorb reactions.
Turning to LinkedIn, once you are finished renovating your LinkedIn profile, and it’s time for the “big reveal” ask for comments, criticism, inquire if you left anything out.
Run it again as a test. Sometimes we are travelling too fast to pay attention so you may want to ask again.
Sometimes it takes more than one test. Sometimes it takes dozens.
Test. Test again.
This sign was seen on the side of a highway for three straight weeks. Perhaps the highway department intended us to notice, but very soon we won’t. Not even a whimper.
Be visibly interested in the reaction you receive. Be consultative to test and be your best.