Post by account_disabled on Feb 25, 2024 10:51:58 GMT
Have you ever had an unstoppable craving for dessert, run to the pastry shop but then couldn't decide whether to eat a cream donut or a slice of black forest?! Well, it's happened to me plenty of times! But anyone who knows me knows, I'm damn indecisive and also damn greedy. And just as I am undecided when it comes to sweets, I am often also undecided when it comes to "marketing": Which object is best for the newsletter? Which of these two images will the target like more? Which call to action will convert the most? These are just some of the questions that we ask ourselves every day in the agency when we have to choose which proposal to present to the client and, usually, the answer is "We propose an A/B test!" But what are A/B tests and when to use them ? In this article we will see together why you should choose to carry out an A/B test , what to test, what information to keep in mind when creating it and the mistakes you should never make. Ready? ab-testA/B testing: what and why The name itself, A/B testing, already tells us what it is. In fact, we are talking about a real " timed experiment " - the results of which are based on numbers and percentages - which allows us, between two variants of the same project, to determine the most performing .
It is therefore immediately clear what the function of an A/B test is: to maximize results ! Whether we are talking India Part Time Job Seekers Phone Number List about an email marketing A/B test or A/B testing on any other tool, their use allows us to ( precisely ) test two versions of our project on a small portion of the target, allocating to the remaining majority part of our audience the only version that will have had the best results. Seen from another perspective, A/B tests can therefore be excellent tools for getting to know our target better : through their use, in fact, we will be able to understand which message is most effective for them, which images they prefer, which tones of voice are more sensitive, what colors they prefer and much more! An A/B test can therefore be used in many ways and it is really simple to create one. Evidently, however, its potential has not yet been well understood by those working in the sector because ( at least in my opinion! ) it is still used too little. One of the reasons is that, often, we tend to think that an A/B test is just a "newsletter thing".
Let's see together what to evaluate when preparing an A/B test and how to create it. ab-test Anatomy of an A/B test. Password: strategy! The first things to consider when tackling the creation of an A/B test are: the objective to be measured , which obviously varies depending on the object you are going to test. In the case of an A/B test on a newsletter object, the objective to be measured will be the opening rate of that email. If, however, we are interested in testing the effectiveness of a call to action, we will probably analyze the click rate; the test target , which usually coincides with 20% of the total audience but there is no real rule, everything depends a lot on your "usual" target; the object to be tested , banner, image, text, call to action, subject of an email, color, font, the duration of the test , which is generally around 48 hours, but which depends greatly on the object you decide to test. In short, even in this case there is no golden rule. 3 mistakes not to make when preparing an A/B test ab-test After we saw what to evaluate to create the perfect A/B test , I thought I'd give you a small overview with the 3 mistakes I've most often seen when it comes to A/B testing.
It is therefore immediately clear what the function of an A/B test is: to maximize results ! Whether we are talking India Part Time Job Seekers Phone Number List about an email marketing A/B test or A/B testing on any other tool, their use allows us to ( precisely ) test two versions of our project on a small portion of the target, allocating to the remaining majority part of our audience the only version that will have had the best results. Seen from another perspective, A/B tests can therefore be excellent tools for getting to know our target better : through their use, in fact, we will be able to understand which message is most effective for them, which images they prefer, which tones of voice are more sensitive, what colors they prefer and much more! An A/B test can therefore be used in many ways and it is really simple to create one. Evidently, however, its potential has not yet been well understood by those working in the sector because ( at least in my opinion! ) it is still used too little. One of the reasons is that, often, we tend to think that an A/B test is just a "newsletter thing".
Let's see together what to evaluate when preparing an A/B test and how to create it. ab-test Anatomy of an A/B test. Password: strategy! The first things to consider when tackling the creation of an A/B test are: the objective to be measured , which obviously varies depending on the object you are going to test. In the case of an A/B test on a newsletter object, the objective to be measured will be the opening rate of that email. If, however, we are interested in testing the effectiveness of a call to action, we will probably analyze the click rate; the test target , which usually coincides with 20% of the total audience but there is no real rule, everything depends a lot on your "usual" target; the object to be tested , banner, image, text, call to action, subject of an email, color, font, the duration of the test , which is generally around 48 hours, but which depends greatly on the object you decide to test. In short, even in this case there is no golden rule. 3 mistakes not to make when preparing an A/B test ab-test After we saw what to evaluate to create the perfect A/B test , I thought I'd give you a small overview with the 3 mistakes I've most often seen when it comes to A/B testing.