Post by account_disabled on Feb 18, 2024 0:06:03 GMT -6
For example, the sale goal trumps all other conversion goals in the case of eCommerce sites. But if your website has multiple conversion goals, not tracking all associated goals can sometimes make you draw false conclusions from your A/B tests. For example, a SaaS (Software as a Service) business website usually has multiple conversion goals such as eBook downloads, free sign-ups, paid sign-ups, bounce rate, and others.
So if they change the call-to-action Buy TG Database text for a ‘Free eBook download,’ it might increase the number of conversions for ebook downloads. But this might reduce their paid sign-ups as more prospects now get distracted by the free eBook. Tracking only the ebook downloads as your conversion goal here can give you a false satisfaction as you might discover later that your revenue is going down. How can you avoid or fix this? Make sure you’re tracking all important KPIs (Key performance indicators).
Sometimes you might see that the primary goal for the test had a positive result, but it didn’t reflect favorably on another important metric of your website. In that case, you must decide which metric has a better impact on the bottom line of your business and . In some cases, choosing the wrong A/B testing tool can also get you stuck in a situation when you might see inflated results in your test that do not settle well with your actual revenue figures (as Neil Patel explains it in this post).
So if they change the call-to-action Buy TG Database text for a ‘Free eBook download,’ it might increase the number of conversions for ebook downloads. But this might reduce their paid sign-ups as more prospects now get distracted by the free eBook. Tracking only the ebook downloads as your conversion goal here can give you a false satisfaction as you might discover later that your revenue is going down. How can you avoid or fix this? Make sure you’re tracking all important KPIs (Key performance indicators).
Sometimes you might see that the primary goal for the test had a positive result, but it didn’t reflect favorably on another important metric of your website. In that case, you must decide which metric has a better impact on the bottom line of your business and . In some cases, choosing the wrong A/B testing tool can also get you stuck in a situation when you might see inflated results in your test that do not settle well with your actual revenue figures (as Neil Patel explains it in this post).