If you're navigating the exciting world of A/B testing and striving to make informed choices that drive results, you've landed at the right doorstep. In this blog post, we're diving deep into the realm of data-driven decision-making with 28 A/B testing statistics that are not just numbers on a screen but powerful insights waiting to transform your strategies. In this blog post, we will give you the lowdown on A/B testing. We'll break it down for you and share 28 key A/B testing statistics that you should totally keep an eye on.
How do we collect the statistics?
When it comes to A/B testing, collecting accurate and reliable statistics is crucial for making data-driven decisions. To ensure the validity of your test results, we gathered our necessary data from sources like 99 firms, The Wall Street Journal and Litmus.
28 A/B testing statistics
Let's dive into the 28 A/B testing statistics that can help you make data-driven decisions:
- Some 77% of companies are running A/B testing on the website. [Source: 99firms]
- About 60% of companies perform A/B tests on their landing pages. [Source: 99firms]
- Roughly 44% of businesses use split testing software. [Source: 99firms]
- Only 7% of companies believe it’s difficult to perform A/B tests. [Source: 99firms]
- Better UX design resulting from A/B testing could increase conversion by 400%. [Source: 99firms]
- One out of eight A/B tests drives significant change. [Source: 99firms]
- Approximately 59% of companies perform email A/B tests. [Source: 99firms]
- Bing improved its revenue per search by 10%-25% due to the A/B testing. [Source: 99firms]
- About 58% of companies use A/B testing for conversion rate optimization. [Source: 99firms]
- Approximately 59% of companies perform email A/B tests. [Source: 99firms]
- Microsoft claims it runs over 1,000 A/B tests on Bing search per month. [Source: 99firms]
- A/B Testing Software Market size was valued at USD 516.50 Million in 2020 and is projected to reach USD 1249.57 Million by 2028, growing at a CAGR of 11.62% from 2021 to 2028. [Source: Verified Market Research]
- A/B testing has been found to be the second most used in conversion optimization, second only to analytics. [Source: Finance Online]
- 57% of those who experiment with A/B testing stop upon reaching expected results. [Source: Finanace Online]
- Bing reported a 25% increase in ad revenue from using A/B testing on display ads. [Source: The Wall Street Journal, 2020]
- 85% of businesses prioritize call-to-action triggers for A/B testing. [Source: Revizzy, 2020]
- 39% of businesses use A/B test on email subject lines (39%), content (37%), date and time (36%) and preheaders (23%) [Source: Litmus, 2018]
- A/B testing is mostly used for websites (77%), landing pages (60%), email (59%), and paid search (58%). [Source: econsultancy, 2017]
- An A/B testing report revealed that only 1 in 8 tests create significant change in yields. [Source: VWO, 2021]
- 43.6% of companies don’t use a test prioritization framework. (CXL, 2020)
- Only 14% of professional marketing tools utilize A/B testing and similar tools before rolling out a campaign. [Source: Statista, 2019]
- 71% of companies that experienced significant sales increase tested their landing pages before publishing. [Source: Econsultancy]
- One-third of Microsoft’s experiments yielded positive results, while one-third generated neutral results, and one-third got negative outcomes. [Source: businessinsider, 2020]
- Dell reported a 300% increase in conversion rate from A/B testing. [Source: 99firms]
- Bing reportedly conducts upwards of 1,000 A/B tests monthly. [Source: marketingmag, 2020]
- In Europe, only 20% conduct A/B tests on their email. [Source: 99firms]
- 39% of businesses use AB test on email subject lines (39%), content (37%), date and time (36%) and preheaders (23%) [Source: Litmus, 2018]
- A/B testing is mostly used for websites (77%), landing pages (60%), email (59%), and paid search (58%). [Source: Econsultancy, 2017]
Conclusion
A/B testing is more than a tool; it's a dynamic process that empowers you to fine-tune your strategies, enhance user experiences, and ultimately drive success. So, as you implement A/B testing into your decision-making, approach it with a comprehensive mindset. Combine the statistical findings with qualitative feedback.
