These days, marketing professionals have a wealth of tools and channels available to them. It just tends to pile up: you keep doing the activity that works and then tack more and more onto it, ending up looking for new customers through the newest platforms. But that doesn’t need to be the case – you can make your existing channels work better for you.
A/B testing isn’t new: good marketing practice has been built around testing for decades. But with increased digital promotional channels, the set-up, running, measurement, and insight from testing is better than ever before, easily making it possible for testing to be the bedrock of your marketing strategy.
First of all, you need a goal. Don’t test something just because! Conversion goals can be a whole range of things, from purchases to sign-ups to views to clicks. But if you don’t know what you are testing and why, then you will never know if it wins. If you spend just five minutes writing a list of possible goals, I expect you’d come up with several that you can use as a framework for your testing. Then simply arrange those goals into priorities (weighted by business goals, ease of implementation and so on) and you will have the bare bones with which to start building your testing strategy.
Second of all, you need a way to measure your testing. It is unhelpful to say that you want to test something to “make your brand more likeable” without a measure in place for that (exit survey? Analytics?). And since goals don’t have to just be to “make more money” (they can be anything from “decrease bounce rates” to “improve social shares” to ““increase basket value”) you have to make sure you have your measuring tools in place.
And a little testing tip: try to test one thing at a time, so you can definitively single out what it is that is providing the result you’re seeing.
Marketers are constantly asking how long they need to run a test for. The truth is that there’s no easy answer for that – it all depends on how big of a change you are making on whatever you are testing, and the amount of traffic to your test. There are some helpful free tools online (google “test duration calculator”) that can help you determine how long your test should run. But don’t forget about other factors that could affect the test (unexpected traffic referrals to your site, for example, or a regional uplift from specific email content). If you get a reading that you don’t expect, always retest! For my organisation, I always run a test for at least two weeks (coinciding with our publication schedule) just in case there are fluctuations as a result of our content or web traffic.
The other primary measurement you will need to figure out is how to pick a winner. It seems simple (you choose the one with the higher result!), but this can sometimes be misleading. There is a factor in testing you should consider, called “confidence rating”. This is the measure of the statistical significance of your winning test, or the degree of certainty that your results are correct. It is also called the “p” value and there are numerous free online calculators, where you can enter your results and it can tell you the degree of significance of your results. This is a super helpful way to know whether the result of your test is significant enough to implement wider action in other channels as a result.
And remember, your tests may fail. In fact, they most likely will! But you’re not the only one:
But above all, the strongest advice I can give you is to make testing fun! The more fun it is, the more your teams will get involved, and the more you will see your metrics improve.