Have you ever thought to yourself after you have run an ad campaign, why is this ad not working? you’re not alone. Sometimes advertisement is like gambling particularly during its initial stages. But what would happen should you put your ideas to the test, and not simply assume they will work?
It is exactly what A/B testing is.
AB testing in advertising is a technique whereby you develop two versions of the same advertisement and compare the performance of the two ads. One of them is version A, the other version B. You present them to both similar audiences and observe the results of each.
It is simply a healthy competition between two advertisements to determine which one is winning.
The relevance of A/B Testing
The significance of A/B testing is that it allows you to make smarter decisions when it comes to the marketing. You do not use personal opinions or some due to chance assumptions, but real data.
And truthfully, data is power in marketing.
Even minor manipulations with an advertisement can result in significant shifts. Such a small step as a headline change, color of a button, or image of a product can make more clicks and conversions.
And why spend the money running one ad and not test and refine?
What Are Some of the Things You Can Test in an Ad Campaign?
The common misconception among the beginners is that A/B testing revolves around modifying the ad image. Nevertheless, the fact is that you can test nearly everything.
You can experiment with headlines, descriptions, call to action, types of ads, landing pages or even targeting. As an example you can test Shop now vs. Learn More. Or you might put one image of product against a lifestyle image. With Lapis Brand, generating different ad versions becomes faster, allowing you to explore what actually connects with your audience.
In some cases, it is what has been exceeding your expectations.
What seems like a perfect one to you may not be liked by your audience.
The Stepwise Working of A/B Testing
A/B testing is based on the principle of maintaining everything unchanged besides one thing. That’s the golden rule.
When you make too many changes simultaneously, you will not know what led to the change in performance. Indicatively, when you alter the image, the headline and the audience simultaneously, you will not be able to tell what change assisted.
Instead you test individual variables. Test both versions within a specific time interval and compare the outcomes in terms of such metrics as click-through rate, cost per click, conversion rate, or sales.
The more successful one gets your new winning ad.
Main Metrics to monitor when doing A/B testing
In order to conduct a successful A/B test, the corresponding right results should be measured. But what then should you really look at?
In a bid to create brand awareness, you may measure reach and engagements. In case you aim at sales, conversions, and cost per purchase should be your priorities. Cost per lead is the most important measure in terms of lead generation.
You should also make sure that your metrics are aligned to your campaign objective. Otherwise you can assume that an advertisement works on the basis of just receiving clicks, although it does not result in sales.
Always ask: what is the overall outcome that my business will be?
The Expert A/B Testing Flaws to avoid
Leaving the test prematurely is one of the largest errors that a beginner will commit. There are cases where one advert does better during the first day, and after some days results would vary.
A/B testing should be accurate by having sufficient time and data.
The other thing that many people do wrong is that they test many things simultaneously. This destroys the intelligibility of the test. Simplest and focused A/B tests are the best.
Moreover, not all marketers remember to employ a sufficient number of people. When you test a small group of people, then the findings are not reliable.
A/B testing is most effective when allowed to run sufficiently to generate valuable data.
Should You A/B Test Ads That Often?
The simple answer is: every now and then.
Trends in advertising are very dynamic. Audiences get bored. New campaigns are introduced by competitors. What will work today may not have been working last month.
That is why making A/B testing a process and not a one-time event. It is a good idea to try new variations even when you already have a winning ad because you might want to know whether performance is going to get even better.
Testing is the way of how brands remain leading.
Final Thoughts
One of the strongest tools in advertising particularly to beginners is A/B testing. It transforms advertising into learning as opposed to guessing.
With two versions of an ad, you can also track results and select the ad that is better performing and improve your campaigns in a continuous way.
The most positive aspect is that one does not have to be a professional in order to initiate A/B testing. There is simply a need to remain curious, remain constant, and have confidence with the data.
In commercial making, the brands that are tested more tend to win more.
The next time you launch a campaign, you can’t just hope that it is working. Test it.
