Advertising platforms make it easy to quickly test different ad texts. This gives you data with which to adjust not only your current ads, but also future slogans.
For example, BN3TH could test customer reaction to its slogan: “Numb crotch? No thanks,” or “Ride longer and more comfortably, save 25%
.”Call to action text
Call-to-action text is critical on websites, ads, and emails. An effective CTA addresses the user’s intent, guiding them toward what they want to achieve.
For example, in this exit intent popup form by Vahdam you could experiment with different button text to see which one drives more form submissions.
Screenshot of Vahdam's intent exit form as an A/B testing example
Product Image Type
Another example of A/B testing is testing different types of product images, which can help you understand which factors most influence conversions. Some more practical products stand out with simple photos that highlight their features, while others that are more lifestyle-focused can benefit from images that show them in context.
For example, Blender Bottle could experiment with a canada phone numbers list landing page that highlights a lifestyle photo, such as a professionally dressed person leaving the gym on their way to the office, rather than showing more technical images of the bottle and its features.
Screenshot of Blender Bottle product page
Prices and discounts
A/B pricing testing can be complicated, both technically and from a customer experience perspective.
Many A/B testing tools don’t let you test prices directly, and there’s always the risk of customers getting upset if they find out others paid less for the same product. However, apps like Intelligems , available on Shopify, make this process easier and more effective.
A safer alternative is to test different discount codes. For example, a brand could launch two marketing campaigns targeting the same audience, using the same ads, but with different discounts: 25% off versus €25 off. By analyzing the click-through rate and conversion rate, it is possible to identify which offer generates better results.
Deleting items
Sometimes, less is more. An example of A/B testing might be removing elements to focus user attention and improve conversions. If a website has many navigation options, marketers can experiment with hiding one option to evaluate its impact on customer behavior.
For example, LOLA could analyze the effect of removing links to its blog, The Spot , from its navigation menu, and measure how this affects the conversion rate to purchases.