Know how we’d sometimes flip a coin if we can’t decide by two options? A/B testing replaces the coin with actual knowledge about people’s perceptions of your website products and features.

It saves businesses money that would otherwise go wasted on building a version that would yield poor results. In short, in an A/B experiment, we would choose two or multiple pages with slight variations and compare their user performance to decide which one has better CRO.

To give you more insight than this basic definition we prepared these A/B testing statistics that will help you apply this method to optimize your web marketing strategy, so read on.

A/B Testing Statistics (Editor’s Choice)

  • Some 77% of companies are running A/B testing on the website.
  • About 60% of companies perform A/B tests on their landing pages.
  • Roughly 44% of businesses use split testing software.
  • Only 7% of companies believe it’s difficult to perform A/B tests.
  • Better UX design resulting from testing could increase conversion by 400%.
  • One out of eight A/B tests drives significant change.
  • Approximately 59% of companies perform email A/B tests.
  • Bing improved its revenue per search by 10%-25% due to the A/B testing.

General A/B Testing Stats

1. Some 77% of companies are running A/B testing on their website.

Most businesses use A/B comparison to identify design variations that convert better, including different fonts, images, or similar. In the long run, these aid businesses in reducing shopping cart abandonment by pinpointing what causes a buyer to drop their purchase. Some of the reasons include poor layout, shipping costs, or a complicated check-out process.

2. More than half of companies perform A/B tests on their landing pages.

Landing page statistics show that multiple businesses opt for A/B testing to decide which of the landing pages has better performing content. After all, that’s their main purpose. According to the landing page A/B testing statistics, 60% of companies leverage the power of A/B testing in this sense. Then, 59% of companies test email campaigns, and 58% do the same for paid search.

3. Roughly 44% of businesses use split testing software.

Despite its clear benefits, automated A/B testing is not a reality for all companies. Not even the majority. Nevertheless, there is so much statistical analysis software out there on the market, including those for split testing, that helps businesses produce better-performing websites or email campaigns. Especially, considering that only 22% of companies are happy with their current conversion rates.

4. Traffic on your website can vary by 500% depending on the headline.

A/B testing facts show that when linking your blog posts or podcasts, it pays off to try out different headlines and links to test user acceptance. For instance, A/B testing analysis in a particular study has proved that traffic largely depends on headlines.

5. Only 7% of companies believe it’s difficult to perform A/B tests.

Although it might sound like a complex math category, A/B testing is far from that. It’s a simple technique that helps companies determine whether to go with this or that feature based on user preference. Nearly two-thirds (63%) of companies think it’s not difficult to do such tests, A/B testing statistics show.

6. Some 75% of the top 500 online retailers use A/B testing platforms.

A/B testing platforms help companies understand the crucial bottlenecks and pain points in the conversion process. Further, they allow firms to generate higher ROI from their organic traffic, as well as improve the user experience. Hence, many online retailers rely on different marketing automation software.

Statistics Behind A/B Testing

7. Better UX design resulting from testing could increase conversion by 400%.

Website changes that bring better conversion rates are a dream come true for any web professional. Judging by a report from Forrester, a better UX design could drive conversions. If the website is not converting well, it’s a bad signal. For instance, if 10 million people visit a page, and just 1,000 complete the purchase, the company wasted money on traffic without any value. The top 10% of advertisers on Google Ads meanwhile reach an 11.45% conversion rate, according to A/B testing ROI statistics.

8. About 58% of companies use A/B testing for conversion rate optimization.

Over half of all companies are relying on some sort of an A/B testing dataset to make web-related decisions. Moreover, 35% of company representatives from a recent survey confirmed they planned on using the A/B methods to improve their conversion rate optimization.

9. One out of eight A/B tests produces results.

Apparently, not all tests yield groundbreaking results. One in eight, however, fits the bill, as evidenced by which reaches some 5,000 users per day. Their optimization & A/B testing statistics show that their email conversions increased over five times, while their website doubled its purchase conversion rates as a result of A/B tests.

10. A/B testing needs to reach 25,000 visitors to be of statistical significance.

The A/B testing sample size matters — you need a larger audience to determine the successful variation. That translates into one simple fact — the lack of data and A/B testing statistical significance is the main reason why so many A/B tests fail.

Email Marketing A/B Testing Facts

11. Approximately 59% of companies perform email A/B tests.

Almost all forms of web communication could be optimized through A/B testing methodology. Email is no exception. Namely, companies look to complete successful email marketing campaigns and achieve the best results in terms of conversions. Using this type of test helps them determine what kind of content is useful and triggers users to click on links.

12. A particular A/B test with an ebook in exchange for an email or a tweet showed that the first converted 22% better.

The test was conducted on a 50:50 traffic split, with a dual purpose. First, it was meant to get leads from one page and then to continue viral exposure on the other by redirecting new people from the tweets back to the landing page. The experiment’s A/B testing email statistics showed that the page asking for email converted 22%, while for tweets, it was 18%. As a matter of fact, after the third test with both options on the same landing page, 85% of users opted to give an email address.

13. HubSpot gathered 131 leads thanks to a small, 0.53% increase in open rate, achieved through the A/B experiment.

According to the email marketing A/B testing statistics, HubSpot wanted to check the effects of a personalized campaign. Therefore, they used a personalized name for the sender in one variant and a generic company name in another. The first one reached a 0.53% higher open rate and 0.23% higher click-through rate. It might seem negligible, however, this led to 131 new leads.

Businesses and A/B Testing Statistics

14. Microsoft claims it runs over 1,000 A/B tests on Bing search per month.

Microsoft is one of the companies that use A/B testing methodology to optimize its search engine, Bing. In fact, with so many tests conducted at any time by multiple companies, we are probably subjects of these experiments most of the time, either on the web or in the apps. What’s amazing is that the variations are often so small, we can’t even notice them.

15. In 2011, Google performed over 7,000 A/B tests on the search algorithm.

The A/B testing, in fact, started with big Silicon Valley players, such as Google. Today when we talk about Google, we refer to the one homepage, yet we are not aware of the percentage of users getting experimental pages. Looking at A/B testing trends, we can see that all big companies nowadays use it to optimize their products. Some of the most common are Amazon, eBay, and Netflix, among many others.

16. Bing improved its annual revenue per search by 10-25% due to the A/B testing.

Typically, organizations stick to the A/B testing, once they realize these experimentations pay off. As a matter of fact, Bing identified several changes using A/B testing results and increased revenue per search. Moreover, these changes not only brought revenue but enhanced customer satisfaction. This has helped Bing remain profitable.

17. Thanks to A/B testing, former US President Barack Obama raised $75 million from donations for his campaign.

This type of testing also has applications in politics, A/B testing stats show. When former Google employee Dan Siroker joined the campaign for the Obama presidency as a digital advisor, he used A/B testing analysis to redefine the website for campaign-related info. He managed to turn visitors into subscribers, and further into donors. His tests resulted in four million emails out of 13 million collected. Similarly, some $75 million were raised thanks to his smart methodology.

Email Testing Usage Statistics

  1. Apple market share includes email client usage for the followingApple Mail Privacy Protection – 53.08%, Apple iPhone – 4.23%, Apple Mail – 2.98%, Apple iPad – 0.37%,*. 

Email Testing Market Statistics

  1. 93% of US companies do A/B testing on their email marketing campaigns. 
  2. According to statistics from QY Research, the A/B testing software market was worth $485 million in 2018, and expectations are that it will continue to grow. 
  3. With 60% of companies already using it and another 34% planning to use it, A/B testing is the number one method used by marketers to optimize conversion rates, according to recent reports. 
  4. Copy optimization is employed by 59% of marketers in their daily work, while another 29% plan to adopt it. 
  5. In addition to A/B testing, surveyed marketers said they also rely on online surveys and customer feedback (58%), as well as customer journey analysis (55%). 
  6. Only 28% of marketers are actually satisfied with the conversion rates achieved after A/B testing. 
  7. Email marketing A/B testing statistics further show 37% test content, 36% test. 
  8. Apple market share includes email client usage for the followingApple Mail Privacy Protection – 53.08%, Apple iPhone – 4.23%, Apple Mail – 2.98%, Apple iPad – 0.37%,*. 
  9. These emails account for the majority of email marketing revenue at more than 13% of brands, according to Litmus’ 2018 State of Email Survey. 
  10. According to our survey of 3,000 marketers, this is where most brands currently focus their email A/B testing efforts. 
  11. Poor coordination across channels and departments was identified as the biggest challenge facing email marketers in 2018, according to a Litmus poll of more than 600 marketers. 
  12. More than 20% of marketing emails never make it to a subscriber’s inbox. 
  13. Worse still, our own email marketing benchmark report found that only 20% of email campaigns are optimized for mobile devices. 
  14. Research from Pinpointe marketing found that by using a specific personal name, rather than a general email address or company name, you can increase open rates by as much as 35%!. 
  15. Which is why it’s surprising to find that that our own B2B email marketing research found that 89% of email marketing campaigns are sent from a company name. 
  16. The sad part is that 89% of marketers do not segment their email list. 
  17. With a potential return on investment of up to 4400%, email marketing remains the best way to attract and retain customers. 
  18. 91% of B2B marketers in a Content Marketing Institute study rated email as “important” or “extremely important” to their content marketing distribution efforts. 
  19. DMA reports that only 55% of marketers believe that more than half of what they’re sending out is useful to their subscribers. 
  20. Just a reminder email marketing has a 4400% ROI. 
  21. As of 2018, mobile devices claimed 51% of the market share while desktops sat around 45%. 
  22. Luckily, the DMA says 90% of marketers feel that they have a good individual understanding of GDPR. 
  23. For more free guides to email marketing, be sure to follow us on YouTube, Over 70% of visitors who abandon your website will never return!Learn how to unlock the highest conversion revenue from each of your website. 

Email Testing Software Statistics

  1. According to statistics from QY Research, the A/B testing software market was worth $485 million in 2018, and expectations are that it will continue to grow. 
  2. 69% of organizations don’t believe the threats they’re seeing can be blocked by their anti. 
  3. 54% store billing addresses 38% regularly upgrade software solutions 31% monitor business credit reports. 
  4. Roughly 44% of businesses use split testing software. 
  5. Bill / invoice 15.9% Email delivery failure 15.3% Legal / law enforcement 13.2% Scanned document 11.5% Package delivery. 
  6. 7% bill / invoice 3% email delivery failure notice 4% package delivery. 

Email Testing Latest Statistics

  1. 39% of brands don’t test their broadcast or segmented emails. 
  2. The version of the email that had a person’s name as the sender had a 0.53% higher open rate and a 0.23% higher click. 
  3. Use this discount code to get 25% off your next purchase. 
  4. Get 25% off your next purchase using this discount code. 
  5. In the second variation, the benefit of opening the email (getting 25% off the next purchase). 
  6. According to our own study on Power Words in Email Subject Lines , the subscriber’s name is the single most impactful word you can add to your subject line, increasing opens by over 14%. 
  7. According to the study, the average human attention span has fallen from 12 seconds in 2000 around the time the mobile revolution began to eight seconds today. 
  8. A goldfish is estimated to have a 9 second attention span This reduction in attention span has significantly increased the importance of great writing in your emails. 
  9. Personalization studies , including personalization in your email campaigns can increase click through rates by over 14%. 
  10. In our own testing, we’ve found that using buttons is a better approach, and we were able to get 27% increase in click throughs by using a button instead of a text link. 
  11. In our own testing, we found that using specific, actionoriented copy such as “Get the formulas” was better than using generic copy like “Read more,” improving our email click through rate by over 10%. 
  12. This helped them to come up with a new email design that generated a 32% increase in conversions. 
  13. Over 50% of companies use test prioritization frameworks. 
  14. 77% of organizations do A/B testing on their website and 60% on their landing page. 
  15. 59% of organizations run A/B testing on emails. 
  16. Simple subject lines get 541% more responses than creative ones. 
  17. In fact, the report shows that the yearly growth will remain steady at 12.1% by the end of 2025, when it is expected for the industry to reach a little over a billion US dollars. 
  18. Usability testing is the gateway to optimizing conversion rates for 49% of companies. 
  19. 60% of organizations find A/B testing to be highly valuable for optimizing their conversion rates. 
  20. Almost two thirds (63%). 
  21. Just 7% disagree, admitting that the implementation of A/B testing is a daunting task. 
  22. Successful A/B testing can bring a 50.7% increase in the average revenue per unique visitor for ecommerce sites. 
  23. A/B testing trends reveal onethird of A/B testers first start evaluating elements such as the callto action button, 20% test headlines, 10% test layouts, and 8% website copies. 
  24. Another study shows that to reach statistical significance or a 95% reliability rate, you need an A/B testing sample size of 5,000 unique visitors per variation and 100 conversions on each objective by variation. 
  25. Test prioritization frameworks are used by over 50% of companies. 
  26. A/B testing analysis indicates a great number of companies are improving, while A/B testing statistics point to a solid 56.4% of companies using a test prioritization framework. 
  27. The good news is that compared to the year before, the number of companies that were not using a test prioritization framework (43.6%). 
  28. 77% of organizations perform A/B testing on their website and 60% on their landing page. 
  29. Corporate websites are the most common target of A/B testing, with 77% of organizations running such tests in a bid to improve their CRO. 
  30. 71% do 2 3 such tests monthly. 
  31. It’s no surprise then that 60% of all organizations experiment with this methodology in a bid to improve their website’s performance. 
  32. Emails with a real person’s name as the sender can generate 0.53% more opens. 
  33. For example, sending a more personal email from an individual instead of a company in the ‘Sender’ field increases open and click through rates by 0.53% and 0.23%, respectively. 
  34. Email related A/B testing trends show that 59% of organizations are already implementing this practice. 
  35. Another 58% perform A/B testing on paid search campaigns. 
  36. Just under 40% of companies worldwide test an email’s subject. 
  37. A solid 39 percent of companies worldwide start by testing the email’s subject line as the most important element, the bait used to lure customers into clicking. 
  38. the send dates and time, 32% focus on the sender address, while 39% look at the images in the email. 
  39. Other things that are subjected to A/B testing are offers (28%) and preheaders (23%). 
  40. Bing increases its revenue by 12% with an A/B test. 
  41. They tested out various photos, videos, and website layouts, which increased the campaign’s website sign up rate by a whopping 140%, boosting the funds gathered by a massive $75 million. 
  42. One of the many A/B tests they ran was in relation to the buttons ‘Learn More’, ‘Join Us Now’, and ‘Sign Up Now’ which revealed that ‘Learn More’, as opposed to the default ‘Sign Up’ collects almost 20% more signups per visitor. 
  43. For example, SAP increased their conversion rate by 32.5% by using the color orange, while statistics behind A/B testing conducted by Performable showed that the company improved their conversion rate by 21% by using the color red. 
  44. Here are a few examples of successful open rates The highest open rates are found in government related emails, with an open rate of 28.77%. 
  45. Emails sent by hobbies entities come in second, with a 27.74% open rate. 
  46. With a 27.62% open rate, emails about religion came in third. 
  47. The average open rate for all industries we analyzed is 21.33%. 
  48. According to our research, you should use no more than 1 emoji at a time. 
  49. That can include adding 500 more subscribers to your email newsletter, increasing the total number of products you sell by 20%, or doubling your email campaign’s click. 
  50. The click rate is a percentage that tells you how many successfully delivered emails got at least 1 click. 
  51. Hobbies have the highest click rate, which is 5.01%. 
  52. Media and publishing emails see the second highest click rate, at 4.62%. 
  53. Government comes in third, with a 3.99% click rate. 
  54. The average click rate for all industries we looked at is 2.62%. 
  55. So, let’s say you want to be 95% sure that the change you’re making to your emails will have a positive effect. 
  56. Then, you’d want to see test results that show a 95% confidence level or a p. 
  57. [Sale] Get Our Products For 50% Off. 
  58. Get Our Products For 50%. 
  59. That’s an open rate of 13.25% and 12.5% respectively. 
  60. So, the bracket subject line with a 13.25% open rate is the winner, right?. 
  61. BUT, if you run these numbers through any statistical significance calculator, you’ll see that there is only 76% certainty that A is an improvement over B. 
  62. That’s a p value of a whopping 24%. 
  63. The open rates will only be a fraction of that total — 10% is typical — giving you a total of roughly 5000 responses. 
  64. If it’s a true 50/50 test, any difference between the two variants is likely to be well within the margin of error at that scale. 
  65. Whereas an open rate could be 20%, the typical click through rate is more like 2.5%. 
  66. It’s easy to tweak subject lines and boost opens rates by 5% at the start. 
  67. Over time, however, your tests will start to become less exciting, often yielding improvements of 1% or less. 
  68. Within hours, the alternative format produced a revenue increase of 12% with no impact on user. 
  69. The email using the code A1 has a 5% response rate , and the email using the code B1 has a 3% response rate. 
  70. A50/ 1,000 (5%)10/ 500 (2%). 
  71. (8%)Variant B30/ 1,000 (3%)25/ 500 (5%)5/ 500 (1%). 
  72. In this example, a segmented strategy would yield an increase in expected response rates from to – constituting a 30% increase. 
  73. Due to their restriction of analyzing the data just once such tests are better suited for singleburst scenarios, so let us return to our Black Friday example above and say we had a 15% click through rate during last year’s email campaign. 
  74. For example, say that from our two groups the observed CTR from the control is 14.90% while the observed CTR from the tested variant was 15.33%. 
  75. more than the other, we see that an A/B test with optimal risk vs. reward ratio is one with 10,000 users per group and a significance level of 90%. 
  76. Since 80.26% is less than 90% we would be risking too much in going with variant B so we should stick to our control. 
  77. The 90% onesided relative difference confidence interval spans from 1.5% to infinity and thus we can not exclude with 90% probability the potential for B to be, in fact, inferior to A. 
  78. Before covering that I would like to make it clear that there is no way to have 100% certainty. 
  79. Even if you observe a statistical significance of 99.999% there is always the possibility that you simply observed a very rare outcome or that some test assumptions were not met for some reason. 
  80. After the test, since we did not observe a statistically significant outcome while having 80% or higher probability of observing one if the true effect was 10.32% or higher, we can, with 80% probability, rule out true improvements higher than 10.32%. 
  81. Using a full test groupYou can set up a scenario where the test group includes 100% of all recipients. 
  82. You can set up a scenario where the test group includes 100% of all recipients. 
  83. Nearly 39% of brands never or rarely A/B test their broadcast and segmented emails, according to Litmus’ 2018 State of Email Survey. 
  84. More than 65% of brands never or rarely A/B test their automated emails, and 76% never or rarely A/B test their transactional emails. 
  85. Successful email programs are 58% more likely than less successful programs to A/B test their triggered emails at least once a year. 
  86. And successful programs are 53% more likely to A/B test their transactional emails at least once a year. 
  87. 92% of malware is delivered by email. 
  88. Mobile malware on the rise with the number of new malware variants for mobile increased by 54% in 2018. 
  89. Third party app stores host 99.9% of discovered mobile malware. 
  90. 98% of mobile malware target Android devices. 
  91. Over the last year, MacOS malware has increased by 165%. 
  92. Malware development rates for Windows decreased by 11.6% since reaching an all time high in 2015. 
  93. Malware is still the preferred distribution model, used 71.14% of the time over the last 12 months, while PUAs were only used in 28.86% of instances. 
  94. Gamut spambot was the most frequently used, with over 86% of all spambot cases involving its use. 
  95. Over the last year, 36% of these servers were hosted in America, while 24% were hosted in undefined countries. 
  96. Trojans make up 51.45% of all malware. 
  97. 230,000 new malware samples are produced every day and this is predicted to only keep growing. 
  98. Overall business detections of malware rose 79% from 2017 due to an increase in backdoors, miners, spyware, and information stealers. 
  99. 34% of businesses hit with malware took a week or more to regain access to their data. 
  100. 90% of financial institutions reported being targeted by malware in 2018. 
  101. Ransomware attacks worldwide rose 350% in 2018. 
  102. Ransomware attacks are estimated to cost $6 trillion annually by 2021. 
  103. 50% of a surveyed 582 information security professionals do not believe their organization is prepared to repel a ransomware attack. 
  104. 81% of cyber security experts believe there will be more ransomware attacks than ever in 2019. 
  105. 75% of companies infected with ransomware were running upto. 
  106. FedEx lost an estimated $300 million in Q1 2017 from the NotPetya ransomware attack. 
  107. 25% of business executives would be willing to pay between $20,000 and $50,000 to regain access to encrypted data 30% of organizations who pay the ransom receive all of their money back. 
  108. 40% of ransomware victims paid the ransom. 
  109. More than 50% of ransoms were paid by bitcoin in 2018. 
  110. 10% of all ransom demands are over $5,000. 
  111. Of the 1,100 IT professionals surveyed, 90% had clients that suffered ransomware attacks in the past year. 
  112. 40% had clients that were subject to at least 6 ransomware attacks. 
  113. In 2019 ransomware from phishing emails increased 109% over 2017. 
  114. 25% of businesses are estimated to have been victims of cryptojacking. 
  115. 25% of the WordPress plugins among Alexa’s most popular sites are flagged with critical vulnerabilities that could allow mining botnets in. 
  116. 43% of the IT professionals said they had been targeted by social engineering schemes in the last year. 
  117. New employees are the most susceptible to socially engineered attacks, with 60% of IT professionals citing recent hires as being at high risk. 
  118. 21% of current or former employees use social engineering to gain a financial advantage, for revenge, out of curiosity or for fun. 
  119. Social engineering attempts spiked more than 500% from the first to second quarter of 2018. 
  120. Social media 2.5 billion records, or 56% Government 1.2 billion records, or 27%. 
  121. 56% of IT decision makers say targeted phishing attacks are their top security threat. 
  122. 83% of global infosec respondents experienced phishing attacks in 2018, an increase from 76% in 2017. 
  123. 30% of phishing messages get opened by targeted users and 12% of those users click on the malicious attachment or link. 
  124. Only 3% of targeted users report malicious emails to management. 
  125. 53% of IT and security professionals say they have experienced a targeted phishing attack in 2017. 
  126. Credential compromise rose 70% over 2017, and they’ve soared 280% since 2016. 
  127. 50% of phishing sites now using HTTPS. 
  128. The most common malicious attachment types Office 38% Archive 37% PDF. 
  129. The volume of email fraud that organizations receive has increased 8% yearover. 
  130. 66% of malware is installed via malicious email attachments. 
  131. 49% of nonpointof sale malware was installed via malicious email. 
  132. 21% of ransomware involved social actions, such as phishing. 
  133. 30% of phishing messages were opened in 2016 – up from 23% in the 2015 report. 
  134. In 2017, cyber crime costs accelerated with organizations spending nearly 23% more than 2016 on average about $11.7 million. 
  135. From 2016 to 2017 there was a 22.7 % increase in cyber security costs. 
  136. The average global cost of cyber crime increased by over 27% in 2017. 
  137. The most expensive component of a cyber attack is information loss, which represents 43% of costs. 
  138. The root causes of data breaches for small businesses broke out as following Negligent employee or contractor 48%. 
  139. Third party mistakes 41% Error in system or operating process. 
  140. Don’t know External attacks 27%. 
  141. Other 2% 95% of breached records came from three industries in 2016. 
  142. Recent data breach statistics found that 63% of successful attacks come from internal sources, either control, errors, or fraud. 
  143. 33% of data breaches involved social engineering. 
  144. 43% of data breaches involved small businesses. 
  145. Targeted emails, or spear phishing, is reported by businesses to be used in 91% of successful data breaches and 95% of all enterprise networks. 
  146. 29.6% of companies will experience a data breach in the next two years. 
  147. The average cost of lost business for organizations in the 2019 study was $1.42 million, which represents 36 percent of the total average cost. 
  148. Breaches caused a customer turnover of 3.9% in 2019. 
  149. 36% of breaches were in the medical or healthcare industry in 2019. 
  150. 69% of those in the healthcare industry believe they are at great risk for a data breach than other industries. 
  151. Banks were the target 47% of financial data breaches. 
  152. Share prices fall 7.27% on average, and underperform the NASDAQ by. 
  153. 21% of all files are not protected in any way. 
  154. 41% of companies have over 1,000 sensitive files including credit card numbers and health records left unprotected. 
  155. 70% of organizations say that they believe their security risk increased significantly in 2017. 
  156. 50% of the security risk that organizations face stems from having multiple security vendors and products. 
  157. 65% of companies have over 500 users who never are never prompted to change their passwords. 
  158. Ransomware attacks are growing more than 350% annually. 
  159. IoT attacks were up 600% in 2017. 
  160. 61 percent of breach victims in 2017 were businesses with under 1,000 employees. 
  161. 2017 represented an 80% increase in new malware on Mac computers. 
  162. In 2017 there was a 13% overall increase in reported system vulnerabilities. 
  163. 2017 brought a 29% Increase in industrial control system–related vulnerabilities. 
  164. Coin mining represented the biggest growth area in cybercrime in 2017, with antivirus detections up 8,500% 90% of remote code execution attacks are associated with crypto mining. 
  165. 61% of organizations have experienced an IoT security incident. 
  166. 77% of compromised attacks in 2017 were fileless. 
  167. 69% of companies see compliance mandates driving spending. 
  168. 88% of companies spent more than $1 million on preparing for the GDPR. 
  169. 25% of organizations have a standalone security department. 
  170. 54% of companies experienced an industrial control system security incident. 
  171. Cyber criminals will steal an estimated 33 billion records in 2023. 
  172. In 2017 there were over 130 large scale, targeted breaches in the U.S. per year, and that number is growing by 27% per year. 
  173. 31% of organizations have experienced cyber attacks on operational technology infrastructure. 
  174. U.S. government to spend $15 billion on cyber security related activities in 2019 up 4% over the previous year. 
  175. 43% of cyber attacks target small business. 
  176. 47% of small businesses had at lease on cyber attack in the past year, 44% of those had two to four attacks. 
  177. 70% of small businesses are unprepared to deal with a cyber attack. 
  178. 66% of small business are very concerned about cyber security risk. 
  179. 85% of small businesses plan to increase spending on managed security services. 
  180. 51% of small businesses say they are not allocating any budget to cyber security. 
  181. 58% of malware attack victims are categorized as small businesses. 
  182. Ransomware damage costs alone are on track to hit $11.5 billion in 2019, at which point it’s estimated that small businesses will fall victim to a ransomware attack every 14 seconds. 
  183. 4% of malware sent to small businesses is delivered via email. 
  184. 1.1% legal/law enforcement message 0.3% scanned document. 
  185. 60% of small businesses say attacks are becoming more severe and more sophisticated. 
  186. Only 14% of small businesses rate their ability to mitigate cyber risks, vulnerabilities and attacks as highly effective. 
  187. 60% of small companies go out of business within six months of a cyber attack. 
  188. 48% of data security breaches are caused by acts of malicious intent. 
  189. Small businesses are most concerned about the security of customer data Consumer records 66% Intellectual property 49% Customer credit or debit card information 46%. 
  190. Employee records 8% Business correspondence 5%. 
  191. The types of cyber attacks on small businesses broke out as following Web. 
  192. Phishing / social engineering 43% General malware 35% SQL injection 26%. 
  193. Denial of services 21% Advance malware / zero day attacks 14%. 
  194. Malicious insider 13% Cross. 
  195. Other 1% 68% store email addresses 64% store phone numbers. 
  196. 69% of small businesses do not strictly enforce password policies. 
  197. 16% of small businesses say they had only reviewed their cyber security posture after they were hit by an attack. 
  198. Only 16% of small business are very confident in their cyber security readiness. 
  199. Strategy – 52% of small business have a clearly defined strategy around cyber security. 
  200. Accountability – 23% of small businesses have a leadership role dedicated to cyber, whereas 46% have no defined role at all. 
  201. Willingness to respond – 65% of small businesses have failed to act following a cyber security incident. 
  202. Training – 32% of small businesses have conducted phishing experiments to assess employee behavior and readiness in the event of an attack. 
  203. Insurance – 21% of small businesses have a standalone cyber insurance policy, compared to 58% of large companies. 
  204. 67% of financial institutions reported an increase in cyber attacks over the past year. 
  205. 26% of financial enterprises faced a destructive attack. 
  206. 79% of financial CISOs said threat actors are deploying more sophisticated attacks. 
  207. 21% suffered a watering hole attack in the last year. 
  208. 32% of financial institutions encountered island hopping, is leveraging one compromised organization to gain entry into another. 
  209. 25% of all malware attacks hit banks and other financial industries, more than any other industry Credit card compromised increased by 212% year over year, credential leaks experienced a similar increase of 129%, and malicious apps increased by 102%. 
  210. 47% of financial institutions reported an increase in wire transfer fraud. 
  211. 31% of financial institutions reported an increase in home equity loan fraud. 
  212. 79% of financial institutions said cybercriminals have become more sophisticated, leveraging highly targeted social engineering attacks. 
  213. 32% of financial institutions reported experiencing counter incident response. 
  214. 21% of financial institutions reported experiencing C2 on a sleep cycle. 
  215. 70% of financial institutions said they are most concerned about financially motivated attackers. 
  216. 30% of financial institutions said they are most concerned with nation. 
  217. Global attack types and sources on financial sectors Web attacks – 46% Service specific attacks – 28% DoS/DDoS 8%. 
  218. 69% of financial institution CISOs are planning to increase cyber security spending by 10% or more in 2019. 
  219. 47% of financial institution CISOs said their organizations are operating threat hunt teams. 
  220. 32% of financial institution CISOs said they conduct threat hunts on a monthly basis. 
  221. 70% of cyber crimes targeting surveyed financial institutions involve lateral movement. 
  222. 16% of healthcare providers report having “fully functional” security programs. 
  223. 43% admitted that they are either still developing security programs or have not developed one. 
  224. 93% of healthcare organizations are currently using some form of cloud services. 
  225. 63% plan to use multiple cloud vendors. 
  226. 20% of healthcare domain emails were fraudulent in 2017. 
  227. 82% of surveyed healthcare organizations say that security is a top concern. 
  228. 89% of healthcare organization had patient data lost or stolen in the past two years. 
  229. 54% of healthcare business associates say their top vulnerability is tied to employee negligence in handling patient information. 
  230. 81 percent of healthcare cyber security incidents are rooted in employee negligence. 
  231. 69% of healthcare organizations site negligent or careless employees as their top worry for security incidents, followed by cyber attacks (45%) and insecure mobile devices (30%). 
  232. The healthcare industry was the victim of 88%of all ransomware attacks in US industries in 2016. 
  233. 94% are now using some form of advanced technology to protect sensitive data. 
  234. 25% healthcare organizations using the public cloud report that they are not encrypting patient data. 
  235. 41% of higher education cyber security incidents and breaches were caused by social engineering attacks. 
  236. 43% have had student data attacked, including dissertation materials and exam results. 
  237. 25% have experienced critical intellectual property theft. 
  238. 28% have had grant holder research data attacked. 
  239. 87% have experienced at least one successful cyber attack. 
  240. 83% believe cyber attacks are increasing in frequency and sophistication. 
  241. 79% universities have experienced damage to reputation and almost 74% have had to halt a valuable research project as a result of a cyber attack. 
  242. 77% also say a cyber breach has the potential to impact national security, due to the potentially sensitive nature of the information which could been compromised. 
  243. 64% don’t believe their existing IT infrastructure will protect them against cyber attacks in next 12. 
  244. 27% see the current security of their data center as ‘inadequate’ and in urgent need of updating. 
  245. 85% of universities agree that more funding must be given to IT security to protect critical research IP. 
  246. On average, 30% of users in the education industry have fallen for phishing emails. 
  247. The education sector accounted for 13% of all data security breaches during the first half of 2017, resulting in the compromise of some 32 million personal records. 
  248. According to the official information, 31 terabytes of “valuable intellectual property and data” was exposed. 
  249. Nearly 98% of all cyber attacks rely on some form of social engineering to deliver a payload such as malware. 
  250. Therefore, threat actors distribute malware via email approximately 92% of the time. 
  251. 62% of businesses experienced phishing and social engineering attacks in 2018 with a new organization falling victim to ransomware every 14 seconds in 2019. 
  252. The total number of spear phishing campaigns targeting employees increased by 55%, which makes up 71% of all targeted attack on businesses. 
  253. Given the rise in phishing attacks it is estimated that 90% of incidences and breaches included a phishing element in 2019. 
  254. With our unique case study, we show you how we earn an average 40% email open rate for every single email we send. 
  255. Plus, learn how we generated a 94% email open rate!. 
  256. This means that your email campaign open rate is 11%. 
  257. Between 2015 to 2018, the average open rate for email was steady hovering at 24% globally. 
  258. However, in 2020, the average open rate dropped to 21.3%. 
  259. In 2020, the average open rate across all industries was 21.3%. 
  260. In 2021, the overall average open rate dropped again and stood at 16.97%, with a 10.29% CTR. 
  261. For example, if you consistently reach a 15% open rate, which is below average yet your campaign is delivering results, it’s obvious that you are not under performing even if the “industry average” says you are. 
  262. For example, only 66% of emails reach a reader’s inbox in Asia compared to 86% in Europe. 
  263. Email open rates from mobile devices have grown by more than 100% since 2011 and the percentage of open rates from mobile continues to grow each year!. 
  264. Today, 81% of all emails are now opened and read on mobile devices. 
  265. In fact, 80% delete the email immediately!. 
  266. Further research shows that subscribers are most likely to read your email at either 10am, after they arrived at work, or at 1pm, when they are catching up on their emails after lunch. 
  267. And that 23% of all email opens occur during the first hour after delivery. 
  268. After 24 hours, an email’s chance of being opened drops below 1%!. 
  269. For example, our own research found that 45% of subscribers say they are likely to read your email because of who it’s from, and 33% of email recipients open an email based on the subject line. 
  270. which is why more than 85% of subject lines are shorter than 90 characters!. 
  271. Another reason for opening an email is if the subject line is addressed to the recipient, as subject lines personalized with a recipient’s first name, for example, can lift open rates by as much as 20%!. 
  272. There is only a 2% improvement if you use personalized subject lines. 
  273. Retention Science found that subject lines with movie titles and song lyrics have an average open rate of 26% !. 
  274. Subject line #310% discount on all products!. 
  275. It’s something we have tested and including the word video increased our open rates by 6%!. 
  276. Earlier in the post, I referenced that the average open rate in 2019 was 22.15%. 
  277. Using the techniques listed above and based on data of more than 99,000 emails sent during the last 10 months, my average email open rate is 40.9%. 
  278. That’s 85% higher than the average open rate. 
  279. Upon viewing the results, the main blog subscriber list generated my average response of a 40% open rate. 
  280. The segmented list earned a staggering 94% open rate!. 
  281. (On a side note, the campaign also generated a 30% click. 
  282. Thepooledprobabilityis0.0995(9.95%). 
  283. We will evaluate this test at a 95% level of confidence. 
  284. Would our conclusion change if we chose a different confidence level than 95%?. 
  285. The minimum sample size increases if… …the baseline probability estimate movescloser to 50% …. 
  286. As a quick example, let’s assume our baseline probability is 10%, the minimum effect size that is relevant to the business is +/ 3%, our desired sensitivity level is 0.2, and our desired significance level is 0.1. 
  287. For example, “The results are statistically significant with 95% confidence. 
  288. From the totals, we can see that 1,945 people converted out of the 4,935 total visitors, or roughly 39% of visitors. 
  289. Many tools use a 95% confidence rate, but for your experiments, it might make sense to use a lower confidence rate if you don’t need the test to be as stringent. 
  290. Did you know 47% of email recipients open email based on the subject line whereas 69% of email recipients report email as spam based solely on the subject line. 
  291. Emails with no subject all together have an open rate of 8% more than those with a subject line, whereas e mails with personalized subject lines are 22% more likely to be opened. 
  292. Without name15.70% 18.7% decrease in open rates when the word “newsletter” is used in subject lines. 
  293. Emails with “Free” in the subject line were opened 10% more than those without. 
  294. Emails with “fw” in the subject line were opened 17% less than those without. 
  295. Subject lines that create a sense of urgency and exclusivity can give a 22% higher open rate. 
  296. Well, in the U.S. alone, more than 90% of people over the age of 15, it turns out. 
  297. All of us (well, 99% of us). 
  298. email reaches about 85% of the people you send it to. 
  299. Here’s what we mean For the “Big 3” of social media , the engagement rate isn’t even 0.6%. 
  300. Compare that to email’s average open rate of 22.86% and even its click through rate of 3.71%. 
  301. And with 53.49% of emails sent classified as spam as of the latest numbers available on Statista , it’s easy to see how consumers could easily be put off by getting the wrong emails. 
  302. Only 1 in 7 people (just 14% of subscribers). 
  303. According to MarketingSherpa, about 60% of consumers subscribe to a brand’s list to get promotional messages and deals compared to only 20% that follow brands on social media. 
  304. About 67% of consumers use mobile to check their email and since mobile use has steadily overtaken desktop use, that trend is only going to continue. 
  305. Many consumers are happy to share personal information, but 88% of them want transparency about how that information’s used. 
  306. And 57% expect a positive impact on sales. 
  307. Preference centers will be an important part of this process; 17% of subscribers expect to be taken to a survey when they click to unsubscribe. 
  308. There are 2 key times when a potential customer is most likely to read and respond to your cold email when they get to work and when they get home. 
  309. Aim to send your cold emails between 56 am (37% open rate; 8% response rate) and 7 9 pm (48% open rate; 8% response rate). 
  310. Here’s what they found15 step campaign with a conversion rate of 1.39%!. 
  311. Here’s what they found 15 step campaign with a conversion rate of 1.39%! ?. 
  312. Over 70% of visitors who abandon your website will never return!. 
  313. For Email 1, she is sticking with the same email she sent last month and sends this to approximately 50% of her customers. 
  314. The other 50% are sent Email 2. 
  315. Email 1 gets a 12% open rate and Email 2 gets a 9.8% open rate. 
  316. We can leverage analytics to decide if this 2.2% (12% 9.8%). 
  317. Looking at the results below I see that the true difference between the groups, with a 95% confidence interval, can just as likely be 0 as .022 (or 2.2%). 
  318. In other words, the two groups are NOT statistically different at the 95% confidence level. 
  319. Despite one email getting a 12% open rate, and another one getting 9.8% open rate – there is not a statistical difference between the performance of the emails. 
  320. For example, to get statistically significant results from a small list, you might have to test 85% or 95% of your list. 
  321. For example, in your emails, if you have an interval of 5, and 60% of your sample opens your Variation, you can be sure that between 55% and 65% would have also opened that email. 
  322. The HubSpot Email A/B tool automatically uses the 85% confidence level to determine a winner. 
  323. Since that option isn’t available in this tool, I’d suggest choosing 95%. 
  324. Our list has 1,000 people in it and has a 95% deliverability rate. 
  325. We want to be 95% confident our winning email metrics fall within a 5 point interval of our population metrics. 
  326. Here’s what we’d put in the tool Population 950 Confidence Level 95%. 
  327. Here’s what that math looks like, using the example numbers above 274 / 1,000 = 27.4%. 
  328. This means that each sample needs to be sent to 27 28% of your audience — in other words, roughly a total of 55% of your total list. 
  329. Some 77% of companies are running A/B testing on the website. 
  330. About 60% of companies perform A/B tests on their landing pages. 
  331. Only 7% of companies believe it’s difficult to perform A/B tests. 
  332. Better UX design resulting from testing could increase conversion by 400%. 
  333. Approximately 59% of companies perform email A/B tests. 
  334. Bing improved its revenue per search by 10% 25% due to the A/B testing. 
  335. Some 77% of companies are running A/B testing on their website. 
  336. According to the landing page A/B testing statistics, 60% of companies leverage the power of A/B testing in this sense. 
  337. Then, 59% of companies test email campaigns, and 58% do the same for paid search. 
  338. Especially, considering that only 22% of companies are happy with their current conversion rates. 
  339. Nearly two thirds (63%). 
  340. The top 10% of advertisers on Google Ads meanwhile reach an 11.45% conversion rate, according to A/B testing ROI statistics. 
  341. Moreover, 35% of company representatives from a recent survey confirmed they planned on using the A/B methods to improve their conversion rate optimization. 
  342. The experiment’s A/B testing email statistics showed that the page asking for email converted 22%, while for tweets, it was 18%. 
  343. As a matter of fact, after the third test with both options on the same landing page, 85% of users opted to give an email address. 
  344. The first one reached a 0.53% higher open rate and 0.23% higher click. 

Wrap Up

Making an informed decision and leveraging the power of data is critical in today’s world. A/B testing is invaluable on this road if the ultimate goal is to improve website conversion rates. Aside from helping improve the website’s UX, it allows you to actually hear what your customers like more. These A/B testing statistics conclusively show that seeing which version performs better helps you make smart and profitable choices.

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