How To Create An Effective Landing Page With AI
Written by Ashish Gupta | January 18 2023
AI is no longer a new term in web and landing page design.
Top companies like Amazon and Netflix use AI to assess visual sentiment, suggest items for certain users, and build engaging user interfaces (UIs).
Using AI to create landing pages helps you stand out and attract more leads. Some popular AI landing page tools are Wix ADI, Applitools, and Adobe Sensei. These tools help your business align web design with user interests. In this blog post, we’ll focus on two crucial aspects (images and personalization) where artificial intelligence can help you build an effective landing page for your users.
Using AI to create landing pages helps you stand out and attract more leads. Some popular AI landing page tools are Wix ADI, Applitools, and Adobe Sensei. These tools help your business align web design with user interests. In this blog post, we’ll focus on two crucial aspects (images and personalization) where artificial intelligence can help you build an effective landing page for your users.
AI And Images
Human brains process images better than text. So if you deliver critical information in the form of images, they can help you sell products better.
With AI, your site can better analyze user sentiment towards images and recognize suitable images for them. Let’s discuss this closely.
1. Image Recognition with AI
Before the advent of Artificial Intelligence, you had to classify images manually for datasets. In standard web design, if you want to create many landing pages for specific users, the task can take so much time. But today, AI can streamline this process.
AI can explore patterns within images and suggest similar ones based on how users behaved in the past.
For this reason, your website can prioritize and showcase images that are more likely to keep users engaged. Thus, AI can boost your landing page’s user experience and conversion rates. Image recognition also helps designers work more creatively.
AI enables designers to search for specific images and patterns during the design research process. The results of the visual search and their existing applications can then be used by the designers as their inspiration to create new designs. Artificial Intelligence can also suggest designs that are more likely to engage viewers.
2. Visual Sentiment Analysis using AI
Another benefit of AI is visual sentiment analysis. It’s a new way to explore and assess how users emotionally respond to visuals.
According to Venngage, 51.4% of marketers used some form of visuals in 91-100% of their content. Original graphics and videos helped them achieve their marketing goals. But not all visual content can drive more clicks and hold user attention.
AI landing page builders or analysis tools like Lexytics help you understand the overall sentiment of users given by certain graphics. In particular, AI uses computer vision algorithms to decipher visual data. It then detects signals that convey either positive or negative feelings toward such visual content.
AI helps you analyze visual sentiment quickly and precisely. It tells you which visual content instills certain emotions. With these insights, you can plan and adjust your landing pages’ visuals to match user expectations and hold potential customers’ attention for longer.
AI landing page builders or analysis tools like Lexytics help you understand the overall sentiment of users given by certain graphics. In particular, AI uses computer vision algorithms to decipher visual data. It then detects signals that convey either positive or negative feelings toward such visual content.
AI helps you analyze visual sentiment quickly and precisely. It tells you which visual content instills certain emotions. With these insights, you can plan and adjust your landing pages’ visuals to match user expectations and hold potential customers’ attention for longer.
AI And Personalization
According to McKinsey, 71% of consumers expect to receive personalized experiences from companies. If they don’t receive experiences they like, they can deter their purchase decisions and switch to other solutions.
Today, AI landing page builders like PageInsider can predict a user’s future actions and filter relevant content to customize landing pages. Here’s what AI could help you with while personalizing your landing pages.
Today, AI landing page builders like PageInsider can predict a user’s future actions and filter relevant content to customize landing pages. Here’s what AI could help you with while personalizing your landing pages.
1. Predictions
AI can help predict future behaviors. It measures user actions based on data amassed from user page visits, item choice, and more. The technology then uses past data to suggest things like products or blog posts that best impress users.
AI tools can also conduct and use past sales data to predict future buying patterns. For this reason, you can predict user needs and build a tailored landing page. If the prediction is precise, you’ll have more chances to know user tastes. Thus, you can provide more personalized experiences on your landing page based on user demands. This helps commit users to your brand and win their trust. As a result, you can convert more traffic and streamline your sales process.
AI predictions for elements like colors, fonts, and more can help you create a landing page that’s suitable for visitors. For example, if some visitors to your online stores prefer looking for pastel clothes. Based on their previous queries, AI can suggest a light-colored landing page with similar items. This helps increase user experience and the likelihood of converting these leads to loyal customers.
AI tools can also conduct and use past sales data to predict future buying patterns. For this reason, you can predict user needs and build a tailored landing page. If the prediction is precise, you’ll have more chances to know user tastes. Thus, you can provide more personalized experiences on your landing page based on user demands. This helps commit users to your brand and win their trust. As a result, you can convert more traffic and streamline your sales process.
AI predictions for elements like colors, fonts, and more can help you create a landing page that’s suitable for visitors. For example, if some visitors to your online stores prefer looking for pastel clothes. Based on their previous queries, AI can suggest a light-colored landing page with similar items. This helps increase user experience and the likelihood of converting these leads to loyal customers.
2. Content And Layout
AI is proving effective at curating a website’s content and layout for target users.
AI doesn’t only suggest similar content to users based on past action patterns. It can also show content that suits their interests right after they browse a website. Machine learning also supports AI in collecting data that can be used to personalize content. For example, if visitors prefer short video content to plain text, you can use tools like simpleshow to build explainer videos.
Once they arrive at a landing page, AI would present videos that give them concise information to solve their specific needs. This also applies to a website’s layout. AI can change the UIs of specific sections on your website by assessing past behaviors. This can provide users with the best-personalized interfaces on your landing page.
Let’s take Netflix as an example. Based on your previous experience, Netflix’s “Because you watched” recommends similar content when you next visit the platform. So you can save more time finding shows that truly interest you. With machine-learning algorithms, your company can detect and address user pain points faster. As a result, you can create a landing page that addresses specific needs your leads have and drive more conversions.
AI doesn’t only suggest similar content to users based on past action patterns. It can also show content that suits their interests right after they browse a website. Machine learning also supports AI in collecting data that can be used to personalize content. For example, if visitors prefer short video content to plain text, you can use tools like simpleshow to build explainer videos.
Once they arrive at a landing page, AI would present videos that give them concise information to solve their specific needs. This also applies to a website’s layout. AI can change the UIs of specific sections on your website by assessing past behaviors. This can provide users with the best-personalized interfaces on your landing page.
Let’s take Netflix as an example. Based on your previous experience, Netflix’s “Because you watched” recommends similar content when you next visit the platform. So you can save more time finding shows that truly interest you. With machine-learning algorithms, your company can detect and address user pain points faster. As a result, you can create a landing page that addresses specific needs your leads have and drive more conversions.
In Closing
AI-powered tools can help you tailor landing pages that enhance the overall user experience.
AI measures sentiment behind visual data and matches visuals with user demands. Further, AI can predict user behaviors and arrange content or layout in UIs based on user needs. Therefore, your site can provide users with personalized content.
As a business owner, you should take advantage of AI tools to create landing pages tailored to your visitors’ behavioral attributes and preferences. As a result, you’ll be able to drive more online conversions for your marketing efforts.
AI measures sentiment behind visual data and matches visuals with user demands. Further, AI can predict user behaviors and arrange content or layout in UIs based on user needs. Therefore, your site can provide users with personalized content.
As a business owner, you should take advantage of AI tools to create landing pages tailored to your visitors’ behavioral attributes and preferences. As a result, you’ll be able to drive more online conversions for your marketing efforts.
Author's Bio
Ashish Gupta is a former Tech Lead for Machine Learning at Google AdWords (6 years) and a quant developer on Wall Street. Co-Founder & CEO of Polymer Search, the first no-code solution to make structured data more accessible.
His goal is to help anyone extract exactly what is driving their performance metrics or ad spend, at any level of detail, and without special data science knowledge. LinkedIn
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